You can change your cookie settings at any time by following the instructions in our Cookie Policy. To find out more, you may read our Privacy Policy.
I agree
International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.
International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.
Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.
Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.
Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.
Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.
Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.
International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.
Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.
Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.
Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.
An International Open Access Journal Devoted to General Medicine.
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
|
Welch HG and Albertsen PC: Reconsidering prostate cancer mortality-the future of PSA screening. N Engl J Med. 382:1557–1563. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Wagle NS, Nogueira L, Devasia TP, Mariotto AB, Yabroff KR, Islami F, Jemal A, Alteri R, Ganz PA and Siegel RL: Cancer treatment and survivorship statistics, 2025. CA Cancer J Clin. 75:308–340. 2025.PubMed/NCBI | |
|
Harnden P, Naylor B, Shelley MD, Clements H, Coles B and Mason MD: The clinical management of patients with a small volume of prostatic cancer on biopsy: What are the risks of progression? Cancer. 112:971–981. 2008. View Article : Google Scholar : PubMed/NCBI | |
|
Ahmed ME, Mahmoud AM, Reitano G, Zeina W, Lehner K, Day CA, Riaz I, Childs DS, Orme JJ, Tuba Kendi A, et al: Survival patterns based on first-site-specific visceral metastatic prostate cancer: Are outcomes of visceral metastases the same? Eur Urol Open Sci. 66:38–45. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Shore ND, Moul JW, Pienta KJ, Czernin J, King MT and Freedland SJ: Biochemical recurrence in patients with prostate cancer after primary definitive therapy: Treatment based on risk stratification. Prostate Cancer Prostatic Dis. 27:192–201. 2024. View Article : Google Scholar : | |
|
Das S, Ganguly SC, Bera S and Kundu M: Advance in prostate cancer biomarker discovery: Bridging detection, prognosis and therapeutics. Discov Oncol. 16:9542025. View Article : Google Scholar : PubMed/NCBI | |
|
de Vos II, Remmers S, Hogenhout R and Roobol MJ; ERSPC Rotterdam Study Group: Prostate cancer mortality among elderly men after discontinuing organised screening: Long-term results from the European Randomized study of screening for prostate cancer rotterdam. Eur Urol. 85:74–81. 2024. View Article : Google Scholar | |
|
Munteanu VC, Munteanu RA, Gulei D, Schitcu VH, Petrut B, Berindan Neagoe I, Achimas Cadariu P and Coman I: PSA based biomarkers, imagistic techniques and combined tests for a better diagnostic of localized prostate cancer. Diagnostics (Basel). 10:8062020. View Article : Google Scholar : PubMed/NCBI | |
|
Loeb S, Shin SS, Broyles DL, Wei JT, Sanda M, Klee G, Partin AW, Sokoll L, Chan DW, Bangma CH, et al: Prostate Health Index improves multivariable risk prediction of aggressive prostate cancer. BJU Int. 120:61–68. 2017. View Article : Google Scholar | |
|
Carroll PR, Parsons JK, Andriole G, Bahnson RR, Castle EP, Catalona WJ, Dahl DM, Davis JW, Epstein JI, Etzioni RB, et al: NCCN guidelines insights: Prostate cancer early detection, version 2.2016. J Natl Compr Canc Netw. 14:509–519. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Lee JH, Lee CU, Song W, Kang M, Sung HH, Jeong BC, Seo SI, Jeon SS and Jeon HG: Utility of transperineal template-guided mapping prostate biopsy in biopsy-naïve men with PI-RADS 1-2 on multiparametric magnetic resonance imaging. Prostate Int. 12:134–138. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Guerard T, Porto JG, Fekete T, Nativ O, Reid G, Williams A, Ryan J, Zhou K, Cortizas E, Freitas P, et al: 4K density: Adjusting the 4Kscore for prostate volume to improve risk stratification of clinically significant prostate cancer in men undergoing prostate biopsy. Prostate Cancer Prostatic Dis. Oct 18–2025.Epub ahead of print. PubMed/NCBI | |
|
Waterhouse RL Jr, Van Neste L, Moses KA, Barnswell C, Silberstein JL, Jalkut M, Tutrone R, Sylora J, Anglade R, Murdock M, et al: Evaluation of an epigenetic assay for predicting repeat prostate biopsy outcome in African American Men. Urology. 128:62–65. 2019. View Article : Google Scholar | |
|
Hendriks RJ, van der Leest MMG, Israël B, Hannink G, YantiSetiasti A, Cornel EB, Hulsbergen-van de Kaa CA, Klaver OS, Sedelaar JPM, Van Criekinge W, et al: Clinical use of the SelectMDx urinary-biomarker test with or without mpMRI in prostate cancer diagnosis: A prospective, multicenter study in biopsy-naïve men. Prostate Cancer Prostatic Dis. 24:1110–1119. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Constâncio V, Lobo J, Sequeira JP, Henrique R and Jerónimo C: Prostate cancer epigenetics-from pathophysiology to clinical application. Nat Rev Urol. 22:447–469. 2025. View Article : Google Scholar | |
|
Wojno KJ, Costa FJ, Cornell RJ, Small JD, Pasin E, Van Criekinge W, Bigley JW and Van Neste L: Reduced rate of repeated prostate biopsies observed in confirmMDx clinical utility field study. Am Health Drug Benefits. 7:129–134. 2014.PubMed/NCBI | |
|
Qin Z, Yao J, Xu L, Xu Z, Ge Y, Zhou L, Zhao F and Jia R: Diagnosis accuracy of PCA3 level in patients with prostate cancer: A systematic review with meta-analysis. Int Braz J Urol. 46:691–704. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Sanda MG, Feng Z, Howard DH, Tomlins SA, Sokoll LJ, Chan DW, Regan MM, Groskopf J, Chipman J, Patil DH, et al: Association between combined TMPRSS2:ERG and PCA3 RNA urinary testing and detection of aggressive prostate cancer. JAMA Oncol. 3:1085–1093. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Donovan MJ, Noerholm M, Bentink S, Belzer S, Skog J, O'Neill V, Cochran JS and Brown GA: A molecular signature of PCA3 and ERG exosomal RNA from non-DRE urine is predictive of initial prostate biopsy result. Prostate Cancer Prostatic Dis. 18:370–375. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Margolis E, Brown G, Partin A, Carter B, McKiernan J, Tutrone R, Torkler P, Fischer C, Tadigotla V, Noerholm M, et al: Predicting high-grade prostate cancer at initial biopsy: Clinical performance of the ExoDx (EPI) Prostate Intelliscore test in three independent prospective studies. Prostate Cancer Prostatic Dis. 25:296–301. 2022. View Article : Google Scholar : | |
|
Goldberg H, Ahmad AE, Chandrasekar T, Klotz L, Emberton M, Haider MA, Taneja SS, Arora K, Fleshner N, Finelli A, et al: Comparison of magnetic resonance imaging and transrectal ultrasound informed prostate biopsy for prostate cancer diagnosis in biopsy naïve men: a systematic review and meta-analysis. J Urol. 203:1085–1093. 2020. View Article : Google Scholar | |
|
Janes JL, Boyer MJ, Bennett JP, Thomas VM, De Hoedt AM, Edwards VDK, Singla PK, Abran JM, Aboushwareb T, Salama JK and Freedland SJ: The 17-gene genomic prostate score test is prognostic for outcomes after primary external beam radiation therapy in men with clinically localized prostate cancer. Int J Radiat Oncol Biol Phys. 115:120–131. 2023. View Article : Google Scholar | |
|
Shore ND, Kella N, Moran B, Boczko J, Bianco FJ, Crawford ED, Davis T, Roundy KM, Rushton K, Grier C, et al: Impact of the cell cycle progression test on physician and patient treatment selection for localized prostate cancer. J Urol. 195:612–618. 2016. View Article : Google Scholar | |
|
Shipitsin M, Small C, Choudhury S, Giladi E, Friedlander S, Nardone J, Hussain S, Hurley AD, Ernst C, Huang YE, et al: Identification of proteomic biomarkers predicting prostate cancer aggressiveness and lethality despite biopsy-sampling error. Br J Cancer. 111:1201–1212. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Shee K, Cowan JE, Balakrishnan A, Escobar D, Chang K, Washington SL III, Nguyen HG, Shinohara K, Cooperberg MR and Carroll PR: Limited relevance of the very low risk prostate cancer classification in the modern Era: Results from a large institutional active surveillance cohort. Eur Urol. 84:9–12. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Cyll K, Skrede OJ and Kleppe A: Can radiology be first to use prognostic deep learning models for oncological treatment? Ann Oncol. 36:1119–1122. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Isharwal S, Miller MC, Epstein JI, Mangold LA, Humphreys E, Partin AW and Veltri RW: DNA ploidy as surrogate for biopsy gleason score for preoperative organ versus nonorgan-confined prostate cancer prediction. Urology. 73:1092–1097. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Nakagawa T, Kollmeyer TM, Morlan BW, Anderson SK, Bergstralh EJ, Davis BJ, Asmann YW, Klee GG, Ballman KV and Jenkins RB: A tissue biomarker panel predicting systemic progression after psa recurrence post-definitive prostate cancer therapy. PLoS One. 3:e23182008. View Article : Google Scholar : PubMed/NCBI | |
|
Ross AE, D'Amico AV and Freedland SJ: Which, when and why? Rational use of tissue-based molecular testing in localized prostate cancer. Prostate Cancer Prostatic Dis. 19:1–6. 2016. View Article : Google Scholar | |
|
de Jong AC, Danyi A, van Riet J, de Wit R, Sjöström M, Feng F, de Ridder J and Lolkema MP: Predicting response to enzalutamide and abiraterone in metastatic prostate cancer using whole-omics machine learning. Nat Commun. 14:19682023. View Article : Google Scholar : PubMed/NCBI | |
|
Hegemann M, Stenzl A, Bedke J, Chi KN, Black PC and Todenhöfer T: Liquid biopsy: ready to guide therapy in advanced prostate cancer? BJU Int. 118:855–863. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Azad AA, Volik SV, Wyatt AW, Haegert A, Le Bihan S, Bell RH, Anderson SA, McConeghy B, Shukin R, Bazov J, et al: Androgen receptor gene aberrations in circulating cell-free DNA: Biomarkers of therapeutic resistance in castration-resistant prostate cancer. Clin Cancer Res. 21:2315–2324. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Koinis F, Zafeiriou Z, Messaritakis I, Katsaounis P, Koumarianou A, Kontopodis E, Chantzara E, Aidarinis C, Lazarou A, Christodoulopoulos G, et al: Prognostic role of circulating tumor cells in patients with metastatic castration-resistant prostate cancer receiving cabazitaxel: A prospective biomarker study. Cancers (Basel). 15:45112023. View Article : Google Scholar : PubMed/NCBI | |
|
Jang A, Rauterkus GP, Vaishampayan UN and Barata PC: Overcoming Obstacles in liquid biopsy developments for prostate cancer. Onco Targets Ther. 15:897–912. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Scher HI, Heller G, Molina A, Attard G, Danila DC, Jia X, Peng W, Sandhu SK, Olmos D, Riisnaes R, et al: Circulating tumor cell biomarker panel as an individual-level surrogate for survival in metastatic castration-resistant prostate cancer. J Clin Oncol. 33:1348–1355. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Knutson TP, Luo B, Kobilka A, Lyman J, Guo S, Munro SA, Li Y, Heer R, Gaughan L, Morris MJ, et al: AR alterations inform circulating tumor DNA detection in metastatic castration resistant prostate cancer patients. Nat Commun. 15:106482024. View Article : Google Scholar : PubMed/NCBI | |
|
Hamed MA, Wasinger V, Wang Q, Graham P, Malouf D, Bucci J and Li Y: Prostate cancer-derived extracellular vesicles metabolic biomarkers: Emerging roles for diagnosis and prognosis. J Control Release. 371:126–145. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Spratt DE, Srinivas S, Adra N, Ahmed B, An Y, Bitting R, Chapin B, Cheng HH, Cho SY, D'Amico AV, et al: Prostate cancer, version 3.2026, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 23:469–493. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Gamisch A, Mustafa HG, Haushofer A and Mustafa-Korninger ME: Implementing the ESMO recommendations for the use of circulating tumor DNA (ctDNA) assays in routine clinical application/diagnostics. Journal of Laboratory Medicine. 48:141–151. 2024. View Article : Google Scholar | |
|
Oeyen S, Liégeois V, De Laere B, Buys A, Strijbos M, Dirix P, Meijnders P, Vermeulen P, Van Laere S and Dirix L: Automated enumeration and phenotypic characterization of CTCs and tdEVs in patients with metastatic castration resistant prostate cancer. Prostate Cancer Prostatic Dis. 24:499–506. 2021. View Article : Google Scholar : | |
|
Onstenk W, de Klaver W, de Wit R, Lolkema M, Foekens J and Sleijfer S: The use of circulating tumor cells in guiding treatment decisions for patients with metastatic castration-resistant prostate cancer. Cancer Treat Rev. 46:42–50. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Goldkorn A, Tangen C, Plets M, Bsteh D, Xu T, Pinski JK, Ingles S, Triche TJ, MacVicar GR, Vaena DA, et al: Circulating tumor cell count and overall survival in patients with metastatic hormone-sensitive prostate cancer. JAMA Netw Open. 7:e24378712024. View Article : Google Scholar : PubMed/NCBI | |
|
Gupta S, Halabi S, Yang Q, Roy A, Tubbs A, Gore Y, George DJ, Nanus DM, Antonarakis ES, Danila DC, et al: PSMA-positive circulating tumor cell detection and outcomes with abiraterone or enzalutamide treatment in men with metastatic castrate-resistant prostate cancer. Clin Cancer Res. 29:1929–1937. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Liu HE, Vuppalapaty M, Hoerner CR, Bergstrom CP, Chiu M, Lemaire C, Che J, Kaur A, Dimmick A, Liu S, et al: Detecting androgen receptor (AR), AR variant 7 (AR-V7), prostate-specific membrane antigen (PSMA), and prostate-specific antigen (PSA) gene expression in CTCs and plasma exosome-derived cfRNA in patients with metastatic castration-resistant prostate cancer (mCRPC) by integrating the VTX-1 CTC isolation system with the QIAGEN AdnaTest. BMC Cancer. 24:4822024. View Article : Google Scholar | |
|
Antonarakis ES, Lu C, Wang H, Luber B, Nakazawa M, Roeser JC, Chen Y, Mohammad TA, Chen Y, Fedor HL, et al: AR-V7 and resistance to enzalutamide and abiraterone in prostate cancer. N Engl J Med. 371:1028–1038. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Scher HI, Lu D, Schreiber NA, Louw J, Graf RP, Vargas HA, Johnson A, Jendrisak A, Bambury R, Danila D, et al: Association of AR-V7 on circulating tumor cells as a treatment-specific biomarker with outcomes and survival in castration-resistant prostate cancer. JAMA Oncol. 2:1441–1449. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Bastos DA and Antonarakis ES: CTC-derived AR-V7 detection as a prognostic and predictive biomarker in advanced prostate cancer. Expert Rev Mol Diagn. 18:155–163. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Del Re M, Biasco E, Crucitta S, Derosa L, Rofi E, Orlandini C, Miccoli M, Galli L, Falcone A, Jenster GW, et al: The detection of androgen receptor splice variant 7 in plasma-derived exosomal RNA strongly predicts resistance to hormonal therapy in metastatic prostate cancer patients. Eur Urol. 71:680–687. 2017. View Article : Google Scholar | |
|
Asif S and Teply BA: Biomarkers for treatment response in advanced prostate cancer. Cancers (Basel). 13:57232021. View Article : Google Scholar : PubMed/NCBI | |
|
Prentice RL: Surrogate endpoints in clinical trials: Definition and operational criteria. Stat Med. 8:431–440. 1989. View Article : Google Scholar : PubMed/NCBI | |
|
Dathathri E, Isebia KT, Abali F, Lolkema MP, Martens JWM, Terstappen LWMM and Bansal R: Liquid biopsy based circulating biomarkers in metastatic prostate cancer. Front Oncol. 12:8634722022. View Article : Google Scholar : PubMed/NCBI | |
|
Feng Z, Wu J, Lu Y, Chan YT, Zhang C, Wang D, Luo D, Huang Y, Feng Y and Wang N: Circulating tumor cells in the early detection of human cancers. Int J Biol Sci. 18:3251–3265. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Ju S, Chen C, Zhang J, Xu L, Zhang X, Li Z, Chen Y, Zhou J, Ji F and Wang L: Detection of circulating tumor cells: Opportunities and challenges. Biomark Res. 10:582022. View Article : Google Scholar : PubMed/NCBI | |
|
Bettegowda C, Sausen M, Leary RJ, Kinde I, Wang Y, Agrawal N, Bartlett BR, Wang H, Luber B, Alani RM, et al: Detection of circulating tumor DNA in early- and late-stage human malignancies. Sci Transl Med. 6:224ra242014. View Article : Google Scholar : PubMed/NCBI | |
|
Yang C, Liu C, Xia C and Fu L: Clinical applications of circulating tumor cells in metastasis and therapy. J Hematol Oncol. 18:802025. View Article : Google Scholar : PubMed/NCBI | |
|
Bazan Russo TD, Pepe F, Gristina V, Gottardo A, Russo G, Scimone C, Palumbo L, Busuito G, Incorvaia L, Guerry JA, et al: Recent advances in liquid biopsy for precision oncology: Emerging biomarkers and clinical applications in lung cancer. Future Oncol. 21:2803–2821. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Dai CS, Mishra A, Edd J, Toner M, Maheswaran S and Haber DA: Circulating tumor cells: Blood-based detection, molecular biology, and clinical applications. Cancer Cell. 43:1399–1422. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Franken A, Kraemer A, Sicking A, Watolla M, Rivandi M, Yang L, Warfsmann J, Polzer BM, Friedl TWP, Meier-Stiegen F, et al: Comparative analysis of EpCAM high-expressing and low-expressing circulating tumour cells with regard to their clonal relationship and clinical value. Br J Cancer. 128:1742–1752. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Perelmuter VM, Grigoryeva ES, Alifanov VV, Kalinchuk AY, Andryuhova ES, Savelieva OE, Patskan IA, Bragina OD, Garbukov EY, Vostrikova MA, et al: Characterization of EpCAM-Positive and EpCAM-Negative tumor cells in early-stage breast cancer. Int J Mol Sci. 25:111092024. View Article : Google Scholar : PubMed/NCBI | |
|
Lustberg MB, Balasubramanian P, Miller B, Garcia-Villa A, Deighan C, Wu Y, Carothers S, Berger M, Ramaswamy B, Macrae ER, et al: Heterogeneous atypical cell populations are present in blood of metastatic breast cancer patients. Breast Cancer Res. 16:R232014. View Article : Google Scholar : PubMed/NCBI | |
|
Gorges TM, Tinhofer I, Drosch M, Röse L, Zollner TM, Krahn T and von Ahsen O: Circulating tumour cells escape from EpCAM-based detection due to epithelial-to-mesenchymal transition. BMC Cancer. 12:1782012. View Article : Google Scholar : PubMed/NCBI | |
|
Krause J, von Felden J, Casar C, Fründt TW, Galaski J, Schmidt C, Jung C, Ittrich H, Weidemann SA, Krech T, et al: Hepatocellular carcinoma: Intratumoral EpCAM-positive cancer stem cell heterogeneity identifies high-risk tumor subtype. BMC Cancer. 20:11302020. View Article : Google Scholar : PubMed/NCBI | |
|
Shiota M, Matsubara N, Kato T, Eto M, Osawa T, Abe T, Shinohara N, Nishimoto K, Yasumizu Y, Tanaka N, et al: Genomic profiling and clinical utility of circulating tumor DNA in metastatic prostate cancer: SCRUM-Japan MONSTAR SCREEN project. BJC Rep. 2:282024. View Article : Google Scholar : PubMed/NCBI | |
|
Fonseca NM, Maurice-Dror C, Herberts C, Tu W, Fan W, Murtha AJ, Kollmannsberger C, Kwan EM, Parekh K, Schönlau E, et al: Prediction of plasma ctDNA fraction and prognostic implications of liquid biopsy in advanced prostate cancer. Nat Commun. 15:18282024. View Article : Google Scholar : PubMed/NCBI | |
|
Kopytov SA, Sagitova GR, Guschin DY, Egorova VS, Zvyagin AV and Rzhevskiy AS: Circulating tumor DNA in prostate cancer: A dual perspective on early detection and advanced disease management. Cancers (Basel). 17:25892025. View Article : Google Scholar : PubMed/NCBI | |
|
Agbetuyi-Tayo P, Gbadebo M, Rotimi OA and Rotimi SO: Advancements in biomarkers of prostate cancer: A review. Technol Cancer Res Treat. 23:153303382412900292024. View Article : Google Scholar : PubMed/NCBI | |
|
Chen S, Petricca J, Ye W, Guan J, Zeng Y, Cheng N, Gong L, Shen SY, Hua JT, Crumbaker M, et al: The cell-free DNA methylome captures distinctions between localized and metastatic prostate tumors. Nat Commun. 13:64672022. View Article : Google Scholar : PubMed/NCBI | |
|
Bartolomucci A, Nobrega M, Ferrier T, Dickinson K, Kaorey N, Nadeau A, Castillo A and Burnier JV: Circulating tumor DNA to monitor treatment response in solid tumors and advance precision oncology. NPJ Precis Oncol. 9:842025. View Article : Google Scholar : PubMed/NCBI | |
|
Patel KR, Rais-Bahrami S and Basu A: High sensitivity ctDNA assays in genitourinary malignancies: Current evidence and future directions. Oncologist. 29:731–737. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Mayrhofer M, De Laere B, Whitington T, Van Oyen P, Ghysel C, Ampe J, Ost P, Demey W, Hoekx L, Schrijvers D, et al: Cell-free DNA profiling of metastatic prostate cancer reveals microsatellite instability, structural rearrangements and clonal hematopoiesis. Genome Med. 10:852018. View Article : Google Scholar : PubMed/NCBI | |
|
Lorenc T, Klimczyk K, Michalczewska I, Słomka M, Kubiak-Tomaszewska G and Olejarz W: Exosomes in prostate cancer diagnosis, prognosis and therapy. Int J Mol Sci. 21:21182020. View Article : Google Scholar : PubMed/NCBI | |
|
Chu L, Shu X, Huang Y, Chu T, Ge M and Lu Q: Sex steroid hormones in urinary exosomes as biomarkers for the prediction of prostate cancer. Clin Chim Acta. 531:389–398. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Shin S, Park YH, Jung SH, Jang SH, Kim MY, Lee JY and Chung Y: Urinary exosome microRNA signatures as a noninvasive prognostic biomarker for prostate cancer. NPJ Genom Med. 6:452021. View Article : Google Scholar : PubMed/NCBI | |
|
Huang X, Yuan T, Liang M, Du M, Xia S, Dittmar R, Wang D, See W, Costello BA, Quevedo F, et al: Exosomal miR-1290 and miR-375 as prognostic markers in castration-resistant prostate cancer. Eur Urol. 67:33–41. 2015. View Article : Google Scholar | |
|
Chen H, Pang B, Zhou C, Han M, Gong J, Li Y and Jiang J: Prostate cancer-derived small extracellular vesicle proteins: The hope in diagnosis, prognosis, and therapeutics. J Nanobiotechnology. 21:4802023. View Article : Google Scholar : PubMed/NCBI | |
|
Galon J, Costes A, Sanchez-Cabo F, Kirilovsky A, Mlecnik B, Lagorce-Pagès C, Tosolini M, Camus M, Berger A, Wind P, et al: Type, density, and location of immune cells within human colorectal tumors predict clinical outcome. Science. 313:1960–1964. 2006. View Article : Google Scholar : PubMed/NCBI | |
|
Fridman WH, Zitvogel L, Sautès-Fridman C and Kroemer G: The immune contexture in cancer prognosis and treatment. Nat Rev Clin Oncol. 14:717–734. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Haddad TS, Bokhorst JM, Berger MD, Dobbelsteen LVD, Simmer F, Ciompi F, Galon J, Laak JVD, Pagès F, Zlobec I, et al: Combining immunoscore and tumor budding in colon cancer: An insightful prognostication based on the tumor-host interface. J Transl Med. 22:10902024. View Article : Google Scholar : PubMed/NCBI | |
|
Bruni D, Angell HK and Galon J: The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy. Nat Rev Cancer. 20:662–680. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Hijazi A, Antoniotti C, Cremolini C and Galon J: Light on life: Immunoscore immune-checkpoint, a predictor of immunotherapy response. Oncoimmunology. 12:22431692023. View Article : Google Scholar : PubMed/NCBI | |
|
Tiwari A, Oravecz T, Dillon LA, Italiano A, Audoly L, Fridman WH and Clifton GT: Towards a consensus definition of immune exclusion in cancer. Front Immunol. 14:10848872023. View Article : Google Scholar : PubMed/NCBI | |
|
Xu JL, Yang MX, Lan HR and Jin KT: Could immunoscore improve the prognostic and therapeutic management in patients with solid tumors? Int Immunopharmacol. 124:1109812023. View Article : Google Scholar : PubMed/NCBI | |
|
Pardoll DM: The blockade of immune checkpoints in cancer immunotherapy. Nat Rev Cancer. 12:252–264. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Cai L and Li Y, Tan J, Xu L and Li Y: Targeting LAG-3, TIM-3, and TIGIT for cancer immunotherapy. J Hematol Oncol. 16:1012023. View Article : Google Scholar : PubMed/NCBI | |
|
Ayers M, Lunceford J, Nebozhyn M, Murphy E, Loboda A, Kaufman DR, Albright A, Cheng JD, Kang SP, Shankaran V, et al: IFN-γ-related mRNA profile predicts clinical response to PD-1 blockade. J Clin Invest. 127:2930–2940. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Thorsson V, Gibbs DL, Brown SD, Wolf D, Bortone DS, Ou Yang TH, Porta-Pardo E, Gao GF, Plaisier CL, Eddy JA, et al: The immune landscape of cancer. Immunity. 48:812–830.e14. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Fernandez-Martinez A, Pascual T, Singh B, Nuciforo P, Rashid NU, Ballman KV, Campbell JD, Hoadley KA, Spears PA, Pare L, et al: Prognostic and predictive value of immune-related gene expression signatures vs tumor-infiltrating lymphocytes in early-stage ERBB2/HER2-Positive breast cancer. JAMA Oncol. 9:490–499. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Szabo PM, Pant S, Ely S, Desai K, Anguiano E, Wang L, Edwards R, Green G and Zhang N: Development and performance of a CD8 gene signature for characterizing inflammation in the tumor microenvironment across multiple tumor types. J Mol Diagn. 23:1159–1173. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Goltsev Y, Samusik N, Kennedy-Darling J, Bhate S, Hale M, Vazquez G, Black S and Nolan GP: Deep profiling of mouse splenic architecture with CODEX multiplexed imaging. Cell. 174:968–981.e15. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Keren L, Bosse M, Marquez D, Angoshtari R, Jain S, Varma S, Yang SR, Kurian A, Van Valen D, West R, et al: A structured tumor-immune microenvironment in triple negative breast cancer revealed by multiplexed ion beam imaging. Cell. 174:1373–1387.e19. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Janesick A, Shelansky R, Gottscho AD, Wagner F, Williams SR, Rouault M, Beliakoff G, Morrison CA, Oliveira MF, Sicherman JT, et al: High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis. Nat Commun. 14:83532023. View Article : Google Scholar : PubMed/NCBI | |
|
Arora R, Cao C, Kumar M, Sinha S, Chanda A, McNeil R, Samuel D, Arora RK, Matthews TW, Chandarana S, et al: Spatial transcriptomics reveals distinct and conserved tumor core and edge architectures that predict survival and targeted therapy response. Nat Commun. 14:50292023. View Article : Google Scholar : PubMed/NCBI | |
|
Schürch CM, Bhate SS, Barlow GL, Phillips DJ, Noti L, Zlobec I, Chu P, Black S, Demeter J, McIlwain DR, et al: Coordinated cellular neighborhoods orchestrate antitumoral immunity at the colorectal cancer invasive front. Cell. 182:1341–1359.e19. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Jackson HW, Fischer JR, Zanotelli VRT, Ali HR, Mechera R, Soysal SD, Moch H, Muenst S, Varga Z, Weber WP and Bodenmiller B: The single-cell pathology landscape of breast cancer. Nature. 578:615–620. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Yang Y, Attwood K, Bshara W, Mohler JL, Guru K, Xu B, Kalinski P and Chatta G: High intratumoral CD8+ T-cell infiltration is associated with improved survival in prostate cancer patients undergoing radical prostatectomy. Prostate. 81:20–28. 2021. View Article : Google Scholar | |
|
Yanai Y, Kosaka T, Mikami S, Hongo H, Yasumizu Y, Takeda T, Matsumoto K, Miyauchi J, Kitano S and Oya M: CD8-positive T cells and CD204-positive M2-like macrophages predict postoperative prognosis of very high-risk prostate cancer. Sci Rep. 11:224952021. View Article : Google Scholar : PubMed/NCBI | |
|
Han S, Shi T, Liao Y, Chen D, Yang F, Wang M, Ma J, Li H, Xu Y, Zhu T, et al: Tumor immune contexture predicts recurrence after prostatectomy and efficacy of androgen deprivation and immunotherapy in prostate cancer. J Transl Med. 21:1942023. View Article : Google Scholar : PubMed/NCBI | |
|
Calagua C, Ficial M, Jansen CS, Hirz T, Del Balzo L, Wilkinson S, Lake R, Ku AT, Voznesensky O, Sykes DB, et al: A subset of localized prostate cancer displays an immunogenic phenotype associated with losses of key tumor suppressor genes. Clin Cancer Res. 27:4836–4847. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Subudhi SK, Vence L, Zhao H, Blando J, Yadav SS, Xiong Q, Reuben A, Aparicio A, Corn PG, Chapin BF, et al: Neoantigen responses, immune correlates, and favorable outcomes after ipilimumab treatment of patients with prostate cancer. Sci Transl Med. 12:eaaz35772020. View Article : Google Scholar : PubMed/NCBI | |
|
Wu W, Wang X, Le W, Lu C, Li H, Zhu Y, Chen X, An W, Xu C, Wu Q and Wang L: Immune microenvironment infiltration landscape and immune-related subtypes in prostate cancer. Front Immunol. 13:10012972023. View Article : Google Scholar : PubMed/NCBI | |
|
San-Jose Manso L, Alfranca A, Moreno-Pérez I, Ruiz-Vico M, Velasco C, Toquero P, Pacheco M, Zapatero A, Aldave D, Celada G, et al: Immunome profiling in prostate cancer: A guide for clinicians. Front Immunol. 15:13981092024. View Article : Google Scholar : PubMed/NCBI | |
|
Tang W, Wallace TA, Yi M, Magi-Galluzzi C, Dorsey TH, Onabajo OO, Obajemu A, Jordan SV, Loffredo CA, Stephens RM, et al: IFNL4-deltaG allele is associated with an interferon signature in tumors and survival of African-American Men with prostate cancer. Clin Cancer Res. 24:5471–5481. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Owen KL, Gearing LJ, Zanker DJ, Brockwell NK, Khoo WH, Roden DL, Cmero M, Mangiola S, Hong MK, Spurling AJ, et al: Prostate cancer cell-intrinsic interferon signaling regulates dormancy and metastatic outgrowth in bone. EMBO Rep. 21:e501622020. View Article : Google Scholar : PubMed/NCBI | |
|
Fu M, Wang Q, Wang H, Dai Y, Wang J, Kang W, Cui Z and Jin X: Immune-Related genes are prognostic markers for prostate cancer recurrence. Front Genet. 12:6396422021. View Article : Google Scholar : PubMed/NCBI | |
|
Ma Z, Cheng X, Yue T, Shangguan X, Xin Z, Zhang W, Pan J, Wang Q and Xue W: Immune infiltration phenotypes of prostate adenocarcinoma and their clinical implications. Cancer Med. 10:5358–5374. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Cristescu R, Mogg R, Ayers M, Albright A, Murphy E, Yearley J, Sher X, Liu XQ, Lu H, Nebozhyn M, et al: Pan-tumor genomic biomarkers for PD-1 checkpoint blockade-based immunotherapy. Science. 362:eaar35932018. View Article : Google Scholar : PubMed/NCBI | |
|
Abida W, Cheng ML, Armenia J, Middha S, Autio KA, Vargas HA, Rathkopf D, Morris MJ, Danila DC, Slovin SF, et al: Analysis of the prevalence of microsatellite instability in prostate cancer and response to immune checkpoint blockade. JAMA Oncol. 5:471–478. 2019. View Article : Google Scholar : | |
|
Marabelle A, Fakih M, Lopez J, Shah M, Shapira-Frommer R, Nakagawa K, Chung HC, Kindler HL, Lopez-Martin JA, Miller WH Jr, et al: Association of tumour mutational burden with outcomes in patients with advanced solid tumours treated with pembrolizumab: Prospective biomarker analysis of the multicohort, open-label, phase 2 KEYNOTE-158 study. Lancet Oncol. 21:1353–1365. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Marcus L, Fashoyin-Aje LA, Donoghue M, Yuan M, Rodriguez L, Gallagher PS, Philip R, Ghosh S, Theoret MR, Beaver JA, et al: FDA approval summary: Pembrolizumab for the treatment of tumor mutational burden-high solid tumors. Clin Cancer Res. 27:4685–4689. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Wu YM, Cieślik M, Lonigro RJ, Vats P, Reimers MA, Cao X, Ning Y, Wang L, Kunju LP, de Sarkar N, et al: Inactivation of CDK12 delineates a distinct immunogenic class of advanced prostate cancer. Cell. 173:1770–1782.e14. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Rehman LU, Nisar MH, Fatima W, Sarfraz A, Azeem N, Sarfraz Z, Robles-Velasco K and Cherrez-Ojeda I: Immunotherapy for prostate cancer: A current systematic review and patient centric perspectives. J Clin Med. 12:14462023. View Article : Google Scholar : PubMed/NCBI | |
|
Yuan Y: Spatial heterogeneity in the tumor microenvironment. Cold Spring Harb Perspect Med. 6:a0265832016. View Article : Google Scholar : PubMed/NCBI | |
|
JiaWei Z, ChunXia D, CunDong L, Yang L, JianKun Y, HaiFeng D, Cheng Y, ZhiPeng H, HongYi W, DeYing L, et al: M2 subtype tumor associated macrophages (M2-TAMs) infiltration predicts poor response rate of immune checkpoint inhibitors treatment for prostate cancer. Ann Med. 53:730–740. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Vitkin N, Nersesian S, Siemens DR and Koti M: The tumor immune contexture of prostate cancer. Front Immunol. 10:6032019. View Article : Google Scholar : PubMed/NCBI | |
|
Jia Q, Wang A, Yuan Y, Zhu B and Long H: Heterogeneity of the tumor immune microenvironment and its clinical relevance. Exp Hematol Oncol. 11:242022. View Article : Google Scholar : PubMed/NCBI | |
|
Bagchi A, Madaj Z, Engel KB, Guan P, Rohrer DC, Valley DR, Wolfrum E, Feenstra K, Roche N, Hostetter G, et al: Impact of preanalytical factors on the measurement of tumor tissue biomarkers using immunohistochemistry. J Histochem Cytochem. 69:297–320. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Bass BP, Engel KB, Greytak SR and Moore HM: A review of preanalytical factors affecting molecular, protein, and morphological analysis of formalin-fixed, paraffin-embedded (FFPE) tissue: How well do you know your FFPE Specimen? Arch Pathol Lab Med. 138:1520–1530. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Robert ME, Rüschoff J, Jasani B, Graham RP, Badve SS, Rodriguez-Justo M, Kodach LL, Srivastava A, Wang HL, Tang LH, et al: High interobserver variability among pathologists using combined positive score to evaluate PD-L1 expression in gastric, gastroesophageal junction, and esophageal adenocarcinoma. Mod Pathol. 36:1001542023. View Article : Google Scholar : PubMed/NCBI | |
|
Lantuejoul S, Damiola F and Adam J: Selected highlights of the 2019 Pulmonary pathology society biennial meeting: PD-L1 test harmonization studies. Transl Lung Cancer Res. 9:906–916. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Tsao MS, Kerr KM, Kockx M, Beasley MB, Borczuk AC, Botling J, Bubendorf L, Chirieac L, Chen G, Chou TY, et al: PD-L1 immunohistochemistry comparability study in real-life clinical samples: Results of blueprint phase 2 project. J Thorac Oncol. 13:1302–1311. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Rimm DL, Han G, Taube JM, Yi ES, Bridge JA, Flieder DB, Homer R, West WW, Wu H, Roden AC, et al: A prospective, multi-institutional, pathologist-based assessment of 4 immunohistochemistry assays for PD-L1 expression in non-small cell lung cancer. JAMA Oncol. 3:1051–1058. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Sowalsky AG, Figueiredo I, Lis RT, Coleman I, Gurel B, Bogdan D, Yuan W, Russo JW, Bright JR, Whitlock NC, et al: Assessment of androgen receptor splice variant-7 as a biomarker of clinical response in castration-sensitive prostate cancer. Clin Cancer Res. 28:3509–3525. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Coleman IM, DeSarkar N, Morrissey C, Xin L, Roudier MP, Sayar E, Li D, Corey E, Haffner MC and Nelson PS: Therapeutic implications for intrinsic phenotype classification of metastatic castration-resistant prostate cancer. Clin Cancer Res. 28:3127–3140. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Li Y, Huang Q, Zhou Y, He M, Chen J, Gao Y and Wang X: The clinicopathologic and prognostic significance of programmed cell death ligand 1 (PD-L1) expression in patients with prostate cancer: A systematic review and meta-analysis. Front Pharmacol. 9:14942019. View Article : Google Scholar : PubMed/NCBI | |
|
Pepe L, Pizzimenti C, Tralongo P, Zuccalà V, Ieni A, Pepe P, Ricciardi G, Cianci V, Mondello C, Martini M, et al: PD-L1 expression in prostate cancer: Anatomopathological features, methodological pitfalls, and therapeutic potential. Int J Mol Sci. 27:17972026. View Article : Google Scholar : PubMed/NCBI | |
|
Kwon ED, Drake CG, Scher HI, Fizazi K, Bossi A, van den Eertwegh AJ, Krainer M, Houede N, Santos R, Mahammedi H, et al: Ipilimumab versus placebo after radiotherapy in patients with metastatic castration-resistant prostate cancer that had progressed after docetaxel chemotherapy (CA184-043): A multicentre, randomised, double-blind, phase 3 trial. Lancet Oncol. 15:700–712. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Fizazi K, Drake CG, Beer TM, Kwon ED, Scher HI, Gerritsen WR, Bossi A, den Eertwegh AJMV, Krainer M, Houede N, et al: Final analysis of the ipilimumab versus placebo following radiotherapy phase III trial in postdocetaxel metastatic castration-resistant prostate cancer identifies an excess of long-term survivors. Eur Urol. 78:822–830. 2020. View Article : Google Scholar : PubMed/NCBI | |
|
Wu Z, Zhang J, Li L, Wang Z and Yang C: Biomarkers in metastatic castration-resistant prostate cancer for efficiency of immune checkpoint inhibitors. Ann Med. 57:24267552025. View Article : Google Scholar : PubMed/NCBI | |
|
Menbari Oskouie I, Khavandgar N, Alemi H, Mardani-Fard HA, Mousavian AH, Noori M, AleTaha A, Soltani A, Guitynavard F, Yahyazadeh SR and Kasaeian A: Advances in targeted therapies by PARP inhibitors for the treatment of prostate cancer: A scientometric approach. Urologia. 92:630–642. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Shen F, Smith R, McDevitt T, Menard K, Tian S, Chu G, Chaudhary R, McCann J, Oyer H, Wang SC, et al: Human Kallikrein 2: A novel lineage-specific surface target in prostate cancer. Clin Cancer Res. 31:4543–4556. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Pandit-Taskar N, O'Donoghue JA, Chetty D, Max S, Wanik D, Ilovich O, Russell M, Nyima T, Divgi CR, Yu M and Morris MJ: A Phase 0 study to assess the biodistribution and pharmacokinetics of a radiolabeled antibody targeting human kallikrein 2 in participants with metastatic castration-resistant prostate cancer. J Nucl Med. 65:1051–1056. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Stein MN, Dumbrava EE, Teply BA, Gergis US, Guiterrez ME, Reshef R, Subudhi SK, Jacquemont CF, Senesac JH, Bayle JH, et al: PSCA-targeted BPX-601 CAR T cells with pharmacological activation by rimiducid in metastatic pancreatic and prostate cancer: A phase 1 dose escalation trial. Nat Commun. 15:107432024. View Article : Google Scholar : PubMed/NCBI | |
|
Porter LH, Harrison SG, Risbridger GP, Lister N and Taylor RA: Left out in the cold: Moving beyond hormonal therapy for the treatment of immunologically cold prostate cancer with CAR T cell immunotherapies. J Steroid Biochem Mol Biol. 243:1065712024. View Article : Google Scholar : PubMed/NCBI | |
|
Dorff TB, Blanchard MS, Adkins LN, Luebbert L, Leggett N, Shishido SN, Macias A, Del Real MM, Dhapola G, Egelston C, et al: PSCA-CAR T cell therapy in metastatic castration-resistant prostate cancer: A phase 1 trial. Nat Med. 30:1636–1644. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Stein MN, Vinceneux A, Robbrecht D, Doger B, Autio KA, Schweizer MT, Calvo E, Medina L, Van Dongen M, Deville JL, et al: Pasritamig, a first-in-class, bispecific T-cell engager targeting human kallikrein 2, in metastatic castration-resistant prostate cancer: A phase I study. J Clin Oncol. 43:2515–2526. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Das G, Ptacek J, Havlinova B, Nedvedova J, Barinka C and Novakova Z: Targeting prostate cancer using bispecific T-cell engagers against prostate-specific membrane antigen. ACS Pharmacol Transl Sci. 6:1703–1714. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Abel M, Warner AB, Karzai F and Madan RA: Prostate Cancer immunotherapy: Time to move beyond checkpoint inhibitors. Immunotargets Ther. 14:1041–1052. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Kuipers-Connarn JN, Pourzanjani A, Bose M, Modi S, Stieglmaier J, Murphy A, Mehta K and Upreti VV: Clinical pharmacology characterization and dose selection of xaluritamig, a next generation XmAb® 2+1 T-cell engager, in prostate cancer patients. J Clin Pharmacol. 65:1676–1686. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Zeng S, Gao X, Meng J, Yang X, Chi Z, Zhang Y, Zhou P, Li M, Zhang Y, Zhang X, et al: Design and characterization of a novel prostate-specific membrane antigen-targeted radioligand modified with a fatty acid albumin binder for optimized circulation half-life. EJNMMI Radiopharm Chem. 10:612025. View Article : Google Scholar : PubMed/NCBI | |
|
Liu F, Ge C, Qiao B, Aihemaiti Z, Li Z, Zhang W, Zebibula A and Rexiati M: PSMA-based theranostics in diagnosing and treating prostate cancer in the Asian male population: A narrative review. Front Oncol. 15:16550822025. View Article : Google Scholar : PubMed/NCBI | |
|
Bent EH and Morris MJ: Prostate cancer radioligand therapy: PSMA and beyond, current landscape and future directions. Curr Oncol Rep. 27:1170–1184. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Hirz T, Mei S, Sarkar H, Kfoury Y, Wu S, Verhoeven BM, Subtelny AO, Zlatev DV, Wszolek MW, Salari K, et al: Dissecting the immune suppressive human prostate tumor microenvironment via integrated single-cell and spatial transcriptomic analyses. Nat Commun. 14:6632023. View Article : Google Scholar : PubMed/NCBI | |
|
Kiviaho A, Eerola SK, Kallio HML, Andersen MK, Hoikka M, Tiihonen AM, Salonen I, Spotbeen X, Giesen A, Parker CTA, et al: Single cell and spatial transcriptomics highlight the interaction of club-like cells with immunosuppressive myeloid cells in prostate cancer. Nat Commun. 15:99492024. View Article : Google Scholar : PubMed/NCBI | |
|
Xu Y, Song G, Xie S, Jiang W, Chen X, Chu M, Hu X and Wang ZW: The roles of PD-1/PD-L1 in the prognosis and immunotherapy of prostate cancer. Mol Ther. 29:1958–1969. 2021. View Article : Google Scholar : PubMed/NCBI | |
|
Antonarakis ES, Piulats JM, Gross-Goupil M, Goh J, Ojamaa K, Hoimes CJ, Vaishampayan U, Berger R, Sezer A, Alanko T, et al: Pembrolizumab for treatment-refractory metastatic castration-resistant prostate cancer: Multicohort, open-label phase II KEYNOTE-199 study. J Clin Oncol. 38:395–405. 2020. View Article : Google Scholar : | |
|
Andersson E, Villabona L, Bergfeldt K, Carlson JW, Ferrone S, Kiessling R, Seliger B and Masucci GV: Correlation of HLA-A02* genotype and HLA class I antigen down-regulation with the prognosis of epithelial ovarian cancer. Cancer Immunol Immunother. 61:1243–1253. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Dhall A, Patiyal S, Kaur H, Bhalla S, Arora C and Raghava GPS: Computing skin cutaneous melanoma outcome from the HLA-Alleles and clinical characteristics. Front Genet. 11:2212020. View Article : Google Scholar : PubMed/NCBI | |
|
So T, Takenoyama M, Sugaya M, Yasuda M, Eifuku R, Yoshimatsu T, Osaki T and Yasumoto K: Unfavorable prognosis of patients with non-small cell lung carcinoma associated with HLA-A2. Lung Cancer. 32:39–46. 2001. View Article : Google Scholar : PubMed/NCBI | |
|
Chowell D, Morris LGT, Grigg CM, Weber JK, Samstein RM, Makarov V, Kuo F, Kendall SM, Requena D, Riaz N, et al: Patient HLA class I genotype influences cancer response to checkpoint blockade immunotherapy. Science. 359:582–587. 2018. View Article : Google Scholar : | |
|
Stokidis S, Fortis SP, Kogionou P, Anagnostou T, Perez SA and Baxevanis CN: HLA Class I allele expression and clinical outcome in de novo metastatic prostate cancer. Cancers (Basel). 12:16232020. View Article : Google Scholar : PubMed/NCBI | |
|
Stokidis S, Baxevanis CN and Fortis SP: The prognostic significance of selected HLA alleles on prostate cancer outcome. Int J Mol Sci. 24:144542023. View Article : Google Scholar : PubMed/NCBI | |
|
Jackson DO, Trappey FA, Clifton GT, Vreeland TJ, Peace KM, Hale DF, Litton JK, Murray JL, Perez SA, Papamichail M, et al: Effects of HLA status and HER2 status on outcomes in breast cancer patients at risk for recurrence-implications for vaccine trial design. Clin Immunol. 195:28–35. 2018. View Article : Google Scholar : PubMed/NCBI | |
|
Nagata Y, Hanagiri T, Mizukami M, Kuroda K, Shigematsu Y, Baba T, Ichiki Y, Yasuda M, So T, Takenoyama M, et al: Clinical significance of HLA class I alleles on postoperative prognosis of lung cancer patients in Japan. Lung Cancer. 65:91–97. 2009. View Article : Google Scholar | |
|
Goulielmaki M, Stokidis S, Anagnostou T, Voutsas IF, Gritzapis AD, Baxevanis CN and Fortis SP: Frequencies of an immunogenic HER-2/neu Epitope of CD8+ T lymphocytes predict favorable clinical outcomes in prostate cancer. Int J Mol Sci. 24:59542023. View Article : Google Scholar : PubMed/NCBI | |
|
Mittal D, Gubin MM, Schreiber RD and Smyth MJ: New insights into cancer immunoediting and its three component phases-elimination, equilibrium and escape. Curr Opin Immunol. 27:16–25. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Alspach E, Lussier DM, Miceli AP, Kizhvatov I, DuPage M, Luoma AM, Meng W, Lichti CF, Esaulova E, Vomund AN, et al: MHC-II neoantigens shape tumour immunity and response to immunotherapy. Nature. 574:696–701. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
McGranahan N, Furness AJS, Rosenthal R, Ramskov S, Lyngaa R, Saini SK, Jamal-Hanjani M, Wilson GA, Birkbak NJ, Hiley CT, et al: Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade. Science. 351:1463–1469. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
McGranahan N, Rosenthal R, Hiley CT, Rowan AJ, Watkins TBK, Wilson GA, Birkbak NJ, Veeriah S, Van Loo P, Herrero J, et al: Allele-Specific HLA loss and immune escape in lung cancer evolution. Cell. 171:1259–1271.e11. 2017. View Article : Google Scholar : PubMed/NCBI | |
|
Chowell D, Krishna C, Pierini F, Makarov V, Rizvi NA, Kuo F, Morris LGT, Riaz N, Lenz TL and Chan TA: Evolutionary divergence of HLA class I genotype impacts efficacy of cancer immunotherapy. Nat Med. 25:1715–1720. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Al Bakir M, Reading JL, Gamble S, Rosenthal R, Uddin I, Rowan A, Przewrocka J, Rogers A, Wong YNS, Bentzen AK, et al: Clonal driver neoantigen loss under EGFR TKI and immune selection pressures. Nature. 639:1052–1059. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Tokita S, Kanaseki T and Torigoe T: Neoantigen prioritization based on antigen processing and presentation. Front Immunol. 15:14873782024. View Article : Google Scholar : PubMed/NCBI | |
|
Xie N, Shen G, Gao W, Huang Z, Huang C and Fu L: Neoantigens: Promising targets for cancer therapy. Signal Transduct Target Ther. 8:92023. View Article : Google Scholar : PubMed/NCBI | |
|
Łuksza M, Sethna ZM, Rojas LA, Lihm J, Bravi B, Elhanati Y, Soares K, Amisaki M, Dobrin A, Hoyos D, et al: Neoantigen quality predicts immunoediting in survivors of pancreatic cancer. Nature. 606:389–395. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Wang QL, Wang TM, Deng CM, Zhang WL, He YQ, Xue WQ, Liao Y, Yang DW, Zheng MQ and Jia WH: Association of HLA diversity with the risk of 25 cancers in the UK Biobank. EBioMedicine. 92:1045882023. View Article : Google Scholar : PubMed/NCBI | |
|
Cuppens K, Baas P, Geerdens E, Cruys B, Froyen G, Decoster L, Thomeer M and Maes B: HLA-I diversity and tumor mutational burden by comprehensive next-generation sequencing as predictive biomarkers for the treatment of non-small cell lung cancer with PD-(L)1 inhibitors. Lung Cancer. 170:1–10. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Huber F, Arnaud M, Stevenson BJ, Michaux J, Benedetti F, Thevenet J, Bobisse S, Chiffelle J, Gehert T, Müller M, et al: A comprehensive proteogenomic pipeline for neoantigen discovery to advance personalized cancer immunotherapy. Nat Biotechnol. 43:1360–1372. 2025. View Article : Google Scholar : | |
|
Tokita S, Fusagawa M, Matsumoto S, Mariya T, Umemoto M, Hirohashi Y, Hata F, Saito T, Kanaseki T and Torigoe T: Identification of immunogenic HLA class I and II neoantigens using surrogate immunopeptidomes. Sci Adv. 10:eado64912024. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang Y, Chen TT, Li X, Lan AL, Ji PF, Zhu YJ and Ma XY: Advances and challenges in neoantigen prediction for cancer immunotherapy. Front Immunol. 16:16176542025. View Article : Google Scholar : PubMed/NCBI | |
|
Roerden M and Spranger S: Cancer immune evasion, immunoediting and intratumour heterogeneity. Nat Rev Immunol. 25:353–369. 2025. View Article : Google Scholar : PubMed/NCBI | |
|
Roerden M, Castro AB, Cui Y, Harake N, Kim B, Dye J, Maiorino L, White FM, Irvine DJ, Litchfield K and Spranger S: Neoantigen architectures define immunogenicity and drive immune evasion of tumors with heterogenous neoantigen expression. J Immunother Cancer. 12:e0102492024. View Article : Google Scholar : PubMed/NCBI | |
|
Sewastianik T, Roy C, Gormally MV, Montesion M, Halvey P, Jindal A, Lam H, Schoenfeld A, Klebanoff CAMD, Opiteck GJ and Nagorsen D: Allele-specific HLA LOH in solid tumors: Distinct patterns by tumor type and potential prognostic relevance. J Immunother Cancer. 13:e0124352025. View Article : Google Scholar : PubMed/NCBI | |
|
Garrido MA, Navarro-Ocón A, Ronco-Díaz V, Olea N and Aptsiauri N: Loss of heterozygosity (LOH) Affecting HLA genes in breast cancer: Clinical relevance and therapeutic opportunities. Genes (Basel). 15:15422024. View Article : Google Scholar : | |
|
Zhang B and Bassani-Sternberg M: Current perspectives on mass spectrometry-based immunopeptidomics: The computational angle to tumor antigen discovery. J Immunother Cancer. 11:e0070732023. View Article : Google Scholar : PubMed/NCBI | |
|
Wang F, Zhang Z, Mao M, Yang Y, Xu P and Lu S: COSMIC-based mutation database enhances identification efficiency of HLA-I immunopeptidome. J Transl Med. 22:1442024. View Article : Google Scholar : PubMed/NCBI | |
|
De Rosis S, Monaco G, Hu J, Hett E, Lappano R, Marincola FM, Asadi A and Maggiolini M: The dark matter in cancer immunology: Beyond the visible-unveiling multiomics pathways to breakthrough therapies. J Transl Med. 23:8082025. View Article : Google Scholar | |
|
Shen M, Chen S, Han X, Hao Y, Wang J, Li L, Chen T, Wang B, Zou L, Zhang T, et al: Identification of an HLA-A*11:01-restricted neoepitope of mutant PIK3CA and its specific T cell receptors for cancer immunotherapy targeting hotspot driver mutations. Cancer Immunol Immunother. 73:1502024. View Article : Google Scholar : PubMed/NCBI | |
|
Cohen CJ, Gartner JJ, Horovitz-Fried M, Shamalov K, Trebska-McGowan K, Bliskovsky VV, Parkhurst MR, Ankri C, Prickett TD, Crystal JS, et al: Isolation of neoantigen-specific T cells from tumor and peripheral lymphocytes. J Clin Invest. 125:3981–3991. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Furtado LV, Bifulco C, Dolderer D, Hsiao SJ, Kipp BR, Lindeman NI, Ritterhouse LL, Temple-Smolkin RL, Zehir A and Nowak JA: Recommendations for tumor mutational burden assay validation and reporting: A joint consensus recommendation of the association for molecular pathology, college of American pathologists, and society for immunotherapy of cancer. J Mol Diagn. 26:653–668. 2024. View Article : Google Scholar : PubMed/NCBI | |
|
Al Bakir M, Huebner A, Martínez-Ruiz C, Grigoriadis K, Watkins TBK, Pich O, Moore DA, Veeriah S, Ward S, Laycock J, et al: The evolution of non-small cell lung cancer metastases in TRACERx. Nature. 616:534–542. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Nassar AH, Adib E, Abou Alaiwi S, El Zarif T, Groha S, Akl EW, Nuzzo PV, Mouhieddine TH, Perea-Chamblee T, Taraszka K, et al: Ancestry-driven recalibration of tumor mutational burden and disparate clinical outcomes in response to immune checkpoint inhibitors. Cancer Cell. 40:1161–1172.e5. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Shembrey C, Huntington ND and Hollande F: Impact of tumor and immunological heterogeneity on the anti-cancer immune response. Cancers (Basel). 11:12172019. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang Y and Wang W: Advances in tumor subclone formation and mechanisms of growth and invasion. J Transl Med. 23:4612025. View Article : Google Scholar : PubMed/NCBI | |
|
Bertucci F, Lerebours F, Ceccarelli M, Guille A, Syed N, Finetti P, Adélaïde J, Van Laere S, Goncalves A, Viens P, et al: Mutational landscape of inflammatory breast cancer. J Transl Med. 22:3742024. View Article : Google Scholar : PubMed/NCBI | |
|
Rodrigo JP, Sánchez-Canteli M, Otero-Rosales M, Martínez-Camblor P, Hermida-Prado F and García-Pedrero JM: Tumor mutational burden predictability in head and neck squamous cell carcinoma patients treated with immunotherapy: Systematic review and meta-analysis. J Transl Med. 22:1352024. View Article : Google Scholar : PubMed/NCBI | |
|
Wang X, You H, Zhang T, Li Y, Chen X, Basler M, Jiang Q, Chen H, Liu N, Yuan F and Li J: Immunoproteasome subunits are novel signatures for predicting efficacy of immunotherapy in muscle invasive bladder cancer. J Transl Med. 23:2282025. View Article : Google Scholar : PubMed/NCBI | |
|
Ragone C, Cavalluzzo B, Mauriello A, Tagliamonte M and Buonaguro L: Lack of shared neoantigens in prevalent mutations in cancer. J Transl Med. 22:3442024. View Article : Google Scholar : PubMed/NCBI | |
|
Lee MY, Jeon JW, Sievers C and Allen CT: Antigen processing and presentation in cancer immunotherapy. J Immunother Cancer. 8:e0011112020. View Article : Google Scholar : PubMed/NCBI | |
|
Ma W, Zhou T, Song M, Liu J, Chen G, Zhan J, Ji L, Luo F, Gao X, Li P, et al: Genomic and transcriptomic profiling of combined small-cell lung cancer through microdissection: Unveiling the transformational pathway of mixed subtype. J Transl Med. 22:1892024. View Article : Google Scholar : PubMed/NCBI | |
|
Su X, Li J, Xu X, Ye Y, Wang C, Pang G, Liu W, Liu A, Zhao C and Hao X: Strategies to enhance the therapeutic efficacy of anti-PD-1 antibody, anti-PD-L1 antibody and anti-CTLA-4 antibody in cancer therapy. J Transl Med. 22:7512024. View Article : Google Scholar : PubMed/NCBI | |
|
Wang Z, Marincola FM, Rivoltini L, Parmiani G and Ferrone S: Selective histocompatibility leukocyte antigen (HLA)-A2 loss caused by aberrant pre-mRNA splicing in 624MEL28 melanoma cells. J Exp Med. 190:205–15. 1999. View Article : Google Scholar : PubMed/NCBI | |
|
Serrano A, Brady CS, Jimenez P, Duggan-Keen MF, Mendez R, Stern P, Garrido F and Ruiz-Cabello F: A mutation determining the loss of HLA-A2 antigen expression in a cervical carcinoma reveals novel splicing of human MHC class I classical transcripts in both tumoral and normal cells. Immunogenetics. 51:1047–1052. 2000. View Article : Google Scholar : PubMed/NCBI | |
|
Brady CS, Bartholomew JS, Burt DJ, Duggan-Keen MF, Glenville S, Telford N, Little AM, Davidson JA, Jimenez P, Ruiz-Cabello F, et al: Multiple mechanisms underlie HLA dysregulation in cervical cancer. Tissue Antigens. 55:401–411. 2000. View Article : Google Scholar : PubMed/NCBI | |
|
Shukla SA, Rooney MS, Rajasagi M, Tiao G, Dixon PM, Lawrence MS, Stevens J, Lane WJ, Dellagatta JL, Steelman S, et al: Comprehensive analysis of cancer-associated somatic mutations in class I HLA genes. Nat Biotechnol. 33:1152–1158. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Hayashi S, Moriyama T, Yamaguchi R, Mizuno S, Komura M, Miyano S, Nakagawa H and Imoto S: ALPHLARD-NT: Bayesian method for human leukocyte antigen genotyping and mutation calling through simultaneous analysis of normal and tumor whole-genome sequence data. J Comput Biol. 26:923–937. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Zelli V, Manno A, Compagnoni C, Ibraheem RO, Zazzeroni F, Alesse E, Rossi F, Arbib C and Tessitore A: Classification of tumor types using XGBoost machine learning model: A vector space transformation of genomic alterations. J Transl Med. 21:8362023. View Article : Google Scholar : PubMed/NCBI | |
|
Matsueda S, Yao A, Ishihara Y, Ogata R, Noguchi M, Itoh K and Harada M: A prostate stem cell antigen-derived peptide immunogenic in HLA-A24 − prostate cancer patients. Prostate. 60:205–213. 2004. View Article : Google Scholar : PubMed/NCBI | |
|
Harada M, Kobayashi K, Matsueda S, Nakagawa M, Noguchi M and Itoh K: Prostate-specific antigen-derived epitopes capable of inducing cellular and humoral responses in HLA-A24 + prostate cancer patients. Prostate. 57:152–159. 2003. View Article : Google Scholar : PubMed/NCBI | |
|
Kobayashi K, Noguchi M, Itoh K and Harada M: Identification of a prostate-specific membrane antigen-derived peptide capable of eliciting both cellular and humoral immune responses in HLA-A24 + prostate cancer patients. Cancer Sci. 94:622–627. 2003. View Article : Google Scholar : PubMed/NCBI | |
|
Terasaki Y, Shichijo S, Niu Y, Komatsu N, Noguchi M, Todo S and Itoh K: An HLA-A3-binding prostate acid phosphatase-derived peptide can induce CTLs restricted to HLA-A2 and -A24 alleles. Cancer Immunol Immunother. 58:1877–1885. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Andersen MH, Soerensen RB, Becker JC and Thor Straten P: HLA-A24 and survivin: Possibilities in therapeutic vaccination against cancer. J Transl Med. 4:382006. View Article : Google Scholar : PubMed/NCBI | |
|
Murata K, Ly D, Saijo H, Matsunaga Y, Sugata K, Ihara F, Oryoji D, Ohashi Y, Saso K, Wang CH, et al: Modification of the HLA-A*24:02 peptide binding pocket enhances cognate peptide-binding capacity and antigen-specific T cell activation. J Immunol. 209:1481–1491. 2022. View Article : Google Scholar : PubMed/NCBI | |
|
Mauriello A, Cavalluzzo B, Ragone C, Tagliamonte M and Buonaguro L: Shared neoantigens' atlas for off-the-shelf cancer vaccine development. J Transl Med. 23:5582025. View Article : Google Scholar : PubMed/NCBI | |
|
Wang S, Wang J, Xia Y, Zhang L, Jiang Y, Liu M, Gao Q and Zhang C: Harnessing the potential of HLA-G in cancer therapy: Advances, challenges, and prospects. J Transl Med. 22:1302024. View Article : Google Scholar : PubMed/NCBI | |
|
Ahn R, Cui Y and White FM: Antigen discovery for the development of cancer immunotherapy. Semin Immunol. 66:1017332023. View Article : Google Scholar : PubMed/NCBI | |
|
Li K, Huang J, Tan Y, Sun J and Zhou M: Single-cell and bulk transcriptome analysis reveals tumor cell heterogeneity and underlying molecular program in uveal melanoma. J Transl Med. 22:10202024. View Article : Google Scholar : PubMed/NCBI | |
|
Fridman WH, Pagès F, Sautès-Fridman C and Galon J: The immune contexture in human tumours: Impact on clinical outcome. Nat Rev Cancer. 12:298–306. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Tumeh PC, Harview CL, Yearley JH, Shintaku IP, Taylor EJ, Robert L, Chmielowski B, Spasic M, Henry G, Ciobanu V, et al: PD-1 blockade induces responses by inhibiting adaptive immune resistance. Nature. 515:568–571. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Fortis SP, Sofopoulos M, Sotiriadou NN, Haritos C, Vaxevanis CK, Anastasopoulou EA, Janssen N, Arnogiannaki N, Ardavanis A, Pawelec G, et al: Differential intratumoral distributions of CD8 and CD163 immune cells as prognostic biomarkers in breast cancer. J Immunother Cancer. 5:392017. View Article : Google Scholar : PubMed/NCBI | |
|
Takahashi M, Tsunoda M, Aoki H, Kurosu M, Ogiwara H, Shichino S, Bending D, Ishikawa S, Thaventhiran JED, Matsushima K and Ueha S: A pan-immunotherapy signature to predict intratumoral CD8+ T cell expansions. Nat Commun. 16:91752025. View Article : Google Scholar | |
|
Liu B, Hu X, Feng K, Gao R, Xue Z, Zhang S, Zhang Y, Corse E, Hu Y, Han W and Zhang Z: Temporal single-cell tracing reveals clonal revival and expansion of precursor exhausted T cells during anti-PD-1 therapy in lung cancer. Nat Cancer. 3:108–121. 2021. View Article : Google Scholar | |
|
Hu A, Sun L, Lin H, Liao Y, Yang H and Mao Y: Harnessing innate immune pathways for therapeutic advancement in cancer. Signal Transduct Target Ther. 9:682024. View Article : Google Scholar : PubMed/NCBI | |
|
Chen Y, Yu D, Qian H, Shi Y and Tao Z: CD8+ T cell-based cancer immunotherapy. J Transl Med. 22:3942024. View Article : Google Scholar | |
|
Polak R, Zhang ET and Kuo CJ: Cancer organoids 2.0: modelling the complexity of the tumour immune microenvironment. Nat Rev Cancer. 24:523–539. 2024. View Article : Google Scholar | |
|
He Y, Han Y, Fan AH, Li D, Wang B, Ji K, Wang X, Zhao X and Lu Y: Multi-perspective comparison of the immune microenvironment of primary colorectal cancer and liver metastases. J Transl Med. 20:4542022. View Article : Google Scholar : PubMed/NCBI | |
|
Zhang H, Chen L, Li L, Liu Y, Das B, Zhai S, Tan J, Jiang Y, Turco S, Yao Y and Frishman D: Prediction and analysis of tumor infiltrating lymphocytes across 28 cancers by TILScout using deep learning. NPJ Precis Oncol. 9:762025. View Article : Google Scholar : PubMed/NCBI | |
|
Groeneveldt C, van den Ende J and van Montfoort N: Preexisting immunity: Barrier or bridge to effective oncolytic virus therapy? Cytokine Growth Factor Rev. 70:1–12. 2023. View Article : Google Scholar : PubMed/NCBI | |
|
Perez SA, Anastasopoulou EA, Papamichail M and Baxevanis CN: AE37 peptide vaccination in prostate cancer: Identification of biomarkers in the context of prognosis and prediction. Cancer Immunol Immunother. 63:1141–1150. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Perez SA, Anastasopoulou EA, Tzonis P, Gouttefangeas C, Kalbacher H, Papamichail M and Baxevanis CN: AE37 peptide vaccination in prostate cancer: A 4-year immunological assessment updates on a phase I trial. Cancer Immunol Immunother. 62:1599–1608. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Perez SA, Kallinteris NL, Bisias S, Tzonis PK, Georgakopoulou K, Varla-Leftherioti M, Papamichail M, Thanos A, von Hofe E and Baxevanis CN: Results from a Phase I clinical study of the novel Ii-Key/HER-2/neu (776-790) hybrid peptide vaccine in patients with prostate cancer. Clin Cancer Res. 16:3495–3506. 2010. View Article : Google Scholar : PubMed/NCBI | |
|
Mittendorf EA, Ardavanis A, Symanowski J, Murray JL, Shumway NM, Litton JK, Hale DF, Perez SA, Anastasopoulou EA, Pistamaltzian NF, et al: Primary analysis of a prospective, randomized, single-blinded phase II trial evaluating the HER2 peptide AE37 vaccine in breast cancer patients to prevent recurrence. Ann Oncol. 27:1241–1248. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Voutsas IF, Anastasopoulou EA, Tzonis P, Papamichail M, Perez SA and Baxevanis CN: Unraveling the role of preexisting immunity in prostate cancer patients vaccinated with a HER-2/neu hybrid peptide. J Immunother Cancer. 4:752016. View Article : Google Scholar : PubMed/NCBI | |
|
Anastasopoulou EA, Voutsas IF, Papamichail M, Baxevanis CN and Perez SA: MHC class II tetramer analyses in AE37-vaccinated prostate cancer patients reveal vaccine-specific polyfunctional and long-lasting CD4 + T-cells. Oncoimmunology. 5:e11784392016. View Article : Google Scholar | |
|
Anastasopoulou EA, Voutsas IF, Keramitsoglou T, Gouttefangeas C, Kalbacher H, Thanos A, Papamichail M, Perez SA and Baxevanis CN: A pilot study in prostate cancer patients treated with the AE37 Ii-key-HER-2/neu polypeptide vaccine suggests that HLA-A*24 and HLA-DRB1*11 alleles may be prognostic and predictive biomarkers for clinical benefit. Cancer Immunol Immunother. 64:1123–1136. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Baxevanis CN, Anastasopoulou EA, Voutsas IF, Papamichail M and Perez SA: Immune biomarkers: How well do they serve prognosis in human cancers? Expert Rev Mol Diagn. 15:49–59. 2015. View Article : Google Scholar | |
|
Goulielmaki M, Stokidis S, Anagnostou T, Gritzapis AD, Tsitsilonis OE, Baxevanis CN and Fortis SP: Novel biomarkers for prognosis in patients with localized prostate cancer. Oncol Lett. 30:5122025. View Article : Google Scholar : PubMed/NCBI | |
|
Vertuani S, Triulzi C, Roos AK, Charo J, Norell H, Lemonnier F, Pisa P, Seliger B and Kiessling R: HER-2/neu mediated down-regulation of MHC class I antigen processing prevents CTL-mediated tumor recognition upon DNA vaccination in HLA-A2 transgenic mice. Cancer Immunol Immunother. 58:653–664. 2009. View Article : Google Scholar | |
|
Batlle E and Massagué J: Transforming growth factor-β signaling in immunity and cancer. Immunity. 50:924–940. 2019. View Article : Google Scholar : PubMed/NCBI | |
|
Fousek K, Horn LA and Palena C: Interleukin-8: A chemokine at the intersection of cancer plasticity, angiogenesis, and immune suppression. Pharmacol Ther. 219:1076922021. View Article : Google Scholar | |
|
Schalper KA, Carleton M, Zhou M, Chen T, Feng Y, Huang SP, Walsh AM, Baxi V, Pandya D, Baradet T, et al: Elevated serum interleukin-8 is associated with enhanced intratumor neutrophils and reduced clinical benefit of immune-checkpoint inhibitors. Nat Med. 26:688–692. 2020. View Article : Google Scholar : PubMed/NCBI |