Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Oncology Letters
      • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Biomedical Reports
      • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • Information for Authors
    • Information for Reviewers
    • Information for Librarians
    • Information for Advertisers
    • Conferences
  • Language Editing
Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • For Authors
    • For Reviewers
    • For Librarians
    • For Advertisers
    • Conferences
  • Language Editing
Login Register Submit
  • This site uses cookies
  • 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
Search articles by DOI, keyword, author or affiliation
Search
Advanced Search
presentation
Oncology Reports
Join Editorial Board Propose a Special Issue
Print ISSN: 1021-335X Online ISSN: 1791-2431
Journal Cover
August-2025 Volume 54 Issue 2

Full Size Image

Sign up for eToc alerts
Recommend to Library

Journals

International Journal of Molecular Medicine

International Journal of Molecular Medicine

International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.

International Journal of Oncology

International Journal of Oncology

International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.

Molecular Medicine Reports

Molecular Medicine Reports

Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.

Oncology Reports

Oncology Reports

Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.

Oncology Letters

Oncology Letters

Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.

Biomedical Reports

Biomedical Reports

Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.

Molecular and Clinical Oncology

Molecular and Clinical Oncology

International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.

World Academy of Sciences Journal

World Academy of Sciences Journal

Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.

International Journal of Functional Nutrition

International Journal of Functional Nutrition

Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.

International Journal of Epigenetics

International Journal of Epigenetics

Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.

Medicine International

Medicine International

An International Open Access Journal Devoted to General Medicine.

Journal Cover
August-2025 Volume 54 Issue 2

Full Size Image

Sign up for eToc alerts
Recommend to Library

  • Article
  • Citations
    • Cite This Article
    • Download Citation
    • Create Citation Alert
    • Remove Citation Alert
    • Cited By
  • Similar Articles
    • Related Articles (in Spandidos Publications)
    • Similar Articles (Google Scholar)
    • Similar Articles (PubMed)
  • Download PDF
  • Download XML
  • View XML

  • Supplementary Files
    • Supplementary_Data1.xlsx
    • Supplementary_Data2.xlsx
Review Open Access

Comprehensive in‑silico molecular analysis of early‑onset gastric cancer identifies novel genes implicated in disease characterization and progression (Review)

  • Authors:
    • Fernán Gómez‑Valenzuela
    • Ian Silva
    • Ignacio N. Retamal
    • Benjamín García‑Bloj
    • Tomás De Mayo Glasser
    • Matías Muñoz‑Medel
    • Alex Gómez
    • Cristopher San Martín
    • Carolina Sánchez
    • Felipe Pinto
    • Paola Aravena
    • Andrea C. Sabioncello
    • Marcelo Garrido Villanueva
    • Fernando Sigler Chávez
    • Ignacio Corvalán
    • Henry Barrios
    • José M. Erpel
    • Patricio A. Manque
    • Juan A. Godoy
    • Marcelo Garrido
  • View Affiliations / Copyright

    Affiliations: Precision Oncology Center, Universidad Mayor, Las Condes, Santiago 7500000, Chile
    Copyright: © Gómez‑Valenzuela et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 98
    |
    Published online on: June 17, 2025
       https://doi.org/10.3892/or.2025.8931
  • Expand metrics +
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Metrics: Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )
Cited By (CrossRef): 0 citations Loading Articles...

This article is mentioned in:



Abstract

Gastric cancer, a prevalent and fatal form of cancer worldwide, is manifested at different age ranges during the lifespan. Approximately one‑third of newly diagnosed gastric cancer cases are early‑onset gastric cancer (EO‑GC), which affects individuals under the age of 50 years. EO‑GC tends to be more aggressive than late‑onset gastric cancer (L‑GC), with a faster and multifocal disease progression. Furthermore, EO‑GC is associated with early metastatic disease. Recent research has underscored the need for a deeper understanding of EO‑GC that promotes therapeutic approaches specific to EO‑GC. The present study determined the main transcriptomic differences between EO‑GC and L‑GC. Transcriptomic expression data from The Cancer Genome Atlas‑Stomach Adenocarcinoma were explored to elucidate whether age is associated with a specific genomic expression pattern and is associated with gastric cancer. Subsequently, a differential gene expression analysis of the EO‑GC vs. L‑GC groups was performed, providing new insights into EO‑GC gene expression characteristics and their association with survival outcomes. Furthermore, the study focused on whether the influence of representative gene expression in EO‑GC cases (KLHL4, MAGEL2, CYP8B1, RNLS, CLDN6, MIOX, PNMA5 and ACTL8 genes) may be associated with its aggressive phenotype and methylation profiles of these patients. In this review, the necessity of incorporating age as a crucial element in understanding the disparities in outcomes for EO‑GC cases in public datasets was discussed. Furthermore, this insight may be useful for targeted early personalized clinical interventions to improve patient prognosis and survival rates in EO‑GC cases.
View Figures

Figure 1

PCA on the TCGA-STAD cohort based on
age category. Using the transcriptomic expression matrix
(transcripts per million), patients on the TCGA-STAD platform were
classified into five groups based on age: Red cluster, 21–40 years;
black cluster, 41–50 years; purple cluster, 51–60 years; yellow
cluster, 61–80 years; and green cluster, 81–100 years. PCA was
performed using the ‘FactoMineR’ R package. PCA, principal
component analysis; TCGA-STAD, The Cancer Genome Atlas-Stomach
Adenocarcinoma.

Figure 2

DGEA of EO-GC vs. L-GC groups from
the TCGA-STAD dataset. (A) Volcano plot of differentially expressed
genes among a total of n=56,399 genes. (B) Heatmap of the top 30
more differentiated genes between both groups. The green bar
represents the EO-GC and the magenta bar represents the L-GC group.
DGEA analysis was performed using the ‘DESeq2’ R package. Genes
with higher expression levels are shown in red, while those with
lower expression levels are shown in blue (matrix expression).
DGEA, differential gene expression analysis; FC, fold change;
EO-GC, early-onset gastric cancer; L-GC, late-onset gastric cancer;
NS, no significance; TCGA-STAD, The Cancer Genome Atlas-Stomach
Adenocarcinoma.

Figure 3

Prognostic value of differentially
expressed genes in EO-GC in the TCGA-STAD dataset and ROC curve
analysis. (A) Kaplan-Meier survival curves for the TCGA-STAD
dataset based on the expression levels of genes upregulated in
EO-GC, including KLHL4, MAGEL2, RNLS and CYP8B1, and downregulated
genes in EO-GC, namely CLDN6, MIOX, PNMA5 and ACTL8 (based on
UALCAN portal data). P-values were calculated to assess statistical
significance. (B) ROC curves depicting the sensitivity and
specificity of survival predictions based on risk scores for the
upregulated and downregulated EO-GC genes and their comparison with
L-GC. The AUC was quantified using the ‘survivalROC’ R package. The
optimal cutoff risk score was determined at the turning point of
each ROC curve. TCGA-STAD, The Cancer Genome Atlas-Stomach
Adenocarcinoma; ROC, receiver operating characteristic; AUC, area
under the ROC curve; EO-GC, early-onset gastric cancer; L-GC,
late-onset gastric cancer.

Figure 4

Expression of KLHL4 in patients with
EO-GC. (A) The STRING identified four clusters of related proteins.
(Ba) Comparison of transcript KLHL4 levels between EO-GC and L-GC
(upper graph). (Bb) Transcript expression according to age range
(bottom graph). (Ca) Comparison of KLHL4 gene methylation score
between EO-GC and L-GC (upper graph). (Cb) Transcript according to
age range (bottom graph). (D) Kaplan-Meier analysis of patients
with EO-GC based on median KLHL4 gene expression (cutoff=0.52).
Welch's t-test and the F-test were performed through the
‘ggstatsplot’ R package. EO-GC, early-onset gastric cancer; L-GC,
late-onset gastric cancer; HR, hazard ratio.

Figure 5

Expression of MAGEL2 in patients with
EO-GC. (A) The STRING analysis of the proteins identified four
clusters of related proteins. (Ba) Comparison of transcript MAGEL2
levels between EO-GC and L-GC (upper graph). (Bb) Transcript
according to age range (bottom graph). (Ca) Comparison of MAGEL2
gene methylation score between EO-GC and L-GC (upper graph). (Cb)
Gene methylation levels according to age range (bottom graph). (D)
Kaplan-Meier analysis of patients with EO-GC based on median MAGEL2
gene expression (cutoff=0.49). Welch's t-test and the F-test were
performed through the ‘ggstatsplot’ R package. EO-GC, early-onset
gastric cancer; L-GC, late-onset gastric cancer; HR, hazard
ratio.

Figure 6

Expression of RNLS in patients with
EO-GC. (A) The STRING analysis of the proteins identified three
clusters of related proteins. (Ba) Comparison of transcript RNLS
levels between EO-GC and L-GC (upper graph). (Bb) Transcript RNLS
levels according to age range (bottom graph). (Ca) Comparison of
RNLS gene methylation score between EO-GC and L-GC (upper graph).
(Cb) Methylation scores according to age range (bottom graph). (D)
Kaplan-Meier analysis of patients with EO-GC based on median RNLS
gene expression (cutoff=10.87). Welch's t-test and the F-test were
performed through the ‘ggstatsplot’ R package. EO-GC, early-onset
gastric cancer; L-GC, late-onset gastric cancer; HR, hazard ratio;
FDR, false discovery rate.

Figure 7

Expression of CYP8B1 in patients with
EO-GC. (A) The STRING interaction of the proteins identified three
clusters of related proteins. (Ba) Comparison of transcript CYP8B1
levels between EO-GC and L-GC (upper graph). (Bb) Transcript levels
according to age range (bottom graph). (Ca) Comparison of CYP8B1
gene methylation score between EO-GC and L-GC (upper graph). (Cb)
Methylation genes score according to age range (bottom graph). (D)
Kaplan-Meier analysis of patients with EO-GC based on median RNLS
gene expression (cutoff=0.07). Welch's t-test and the F-test were
performed through the ‘ggstatsplot’ R package. EO-GC, early-onset
gastric cancer; L-GC, late-onset gastric cancer; HR, hazard
ratio.

Figure 8

Expression of CLDN6 in patients with
EO-GC. (A) The STRING analysis of the proteins identified five
clusters of related proteins. (Ba) Comparison of transcript CLDN6
levels between EO-GC and L-GC (upper graph). (Bb) Transcript CLDN6
levels according to age range (bottom graph). (Ca) Comparison of
CLDN6 gene methylation score between EO-GC and L-GC (upper graph).
(Cb) Transcript levels according to age range (bottom graph). (D)
Kaplan-Meier analysis of patients with EO-GC based on median CLDN6
gene expression (cutoff=0.32). Welch's t-test and the F-test were
performed through the ‘ggstatsplot’ R package. EO-GC, early-onset
gastric cancer; L-GC, late-onset gastric cancer; HR, hazard
ratio.

Figure 9

Expression of MIOX in patients with
EO-GC. (A) The STRING interaction of the identified proteins
highlights four groups of related proteins. (Ba) Comparison of
transcript MIOX levels between EO-GC and L-GC (upper graph). (Bb)
Transcript levels according to age range (bottom graph). (Ca)
Comparison of MIOX gene methylation score between EO-GC and L-GC
(upper graph). (Cb) Methylation levels according to age range
(bottom graph). (D) Kaplan-Meier analysis of patients with EO-GC
based on median MIOX gene expression (cutoff=0.23). Welch's t-test
and the F-test were performed through the ‘ggstatsplot’ R package.
EO-GC, early-onset gastric cancer; L-GC, late-onset gastric cancer;
HR, hazard ratio.

Figure 10

Expression of PNMA5 in patients with
EO-GC. (A) The STRING analysis of the proteins identified four
clusters of related proteins. (Ba) Comparison of transcript PNMA5
levels between EO-GC and L-GC (upper graph). (Bb) Transcript PNMA5
levels according to age range (bottom graph). (Ca) Comparison of
PNMA5 gene methylation score between EO-GC and L-GC (upper graph).
(Cb) Comparison of PNMA5 gene methylation score according to age
range (bottom graph). (D) Kaplan-Meier analysis of patients with
EO-GC based on median PNMA5 gene expression (cutoff=0.06). Welch's
t-test and the F-test were performed through the ‘ggstatsplot’ R
package. EO-GC, early-onset gastric cancer; L-GC, late-onset
gastric cancer; HR, hazard ratio.

Figure 11

Expression of ACTL8 in patients with
EO-GC. (A) The STRING interaction of the proteins identified three
clusters of related proteins. (Ba) Comparison of transcript ACTL8
levels between EO-GC and L-GC (upper graph). (Bb) Transcript ACTL8
levels according to age range (bottom graph). (C) Kaplan-Meier
analysis of patients with EO-GC based on median ACTL8 gene
expression (cutoff=0.06). Welch's t-test and the F-test were
performed through the ‘ggstatsplot’ R package. EO-GC, early-onset
gastric cancer; L-GC, late-onset gastric cancer; HR, hazard
ratio.
View References

1 

Zhang C, Tang R, Zhu H, Ge X, Wang Y, Wang X and Miao L: Comparison of treatment strategies and survival of early-onset gastric cancer: A population-based study. Sci Rep. 12:62882022. View Article : Google Scholar : PubMed/NCBI

2 

Bergquist JR, Leiting JL, Habermann EB, Cleary SP, Kendrick ML, Smoot RL, Nagorney DM, Truty MJ and Grotz TE: Early-onset gastric cancer is a distinct disease with worrisome trends and oncogenic features. Surgery. 166:547–555. 2019. View Article : Google Scholar : PubMed/NCBI

3 

Vishwanath A, Krishna S, Manudhane AP, Hart PA and Krishna SG: Early-onset gastrointestinal malignancies: An investigation into a rising concern. Cancers (Basel). 16:15532024. View Article : Google Scholar : PubMed/NCBI

4 

Han X, Jia X, Sheng C, Li M, Han J, Duan F and Wang K: A comparison analysis of the somatic mutations in early-onset gastric cancer and traditional gastric cancer. Clin Res Hepatol Gastroenterol. 48:1022872024. View Article : Google Scholar : PubMed/NCBI

5 

Petrillo A, Federico P, Marte G, Liguori C, Seeber A, Ottaviano M, Tufo A and Daniele B: Non-hereditary early onset gastric cancer: An unmet medical need. Curr Opin Pharmacol. 68:1023442023. View Article : Google Scholar : PubMed/NCBI

6 

Ben-Aharon I, van Laarhoven HWM, Fontana E, Obermannova R, Nilsson M and Lordick F: Early-onset cancer in the gastrointestinal tract is on the rise-evidence and implications. Cancer Discov. 13:538–551. 2023. View Article : Google Scholar : PubMed/NCBI

7 

Milne AN and Offerhaus GJ: Early-onset gastric cancer: Learning lessons from the young. World J Gastrointest Oncol. 2:59–64. 2010. View Article : Google Scholar : PubMed/NCBI

8 

Triantafillidis JK, Georgiou K, Konstadoulakis MM and Papalois AE: Early-onset gastrointestinal cancer: An epidemiological reality with great significance and implications. World J Gastrointest Oncol. 16:583–597. 2024. View Article : Google Scholar : PubMed/NCBI

9 

Zhou Q, Tao F, Qiu L, Chen H, Bao H, Wu X, Shao Y, Chi L and Song H: Somatic alteration characteristics of early-onset gastric cancer. J Oncol. 2022:14980532022. View Article : Google Scholar : PubMed/NCBI

10 

Machlowska J, Baj J, Sitarz M, Maciejewski R and Sitarz R: Gastric cancer: Epidemiology, risk factors, classification, genomic characteristics and treatment strategies. Int J Mol Sci. 21:40122020. View Article : Google Scholar : PubMed/NCBI

11 

Ugai T, Sasamoto N, Lee HY, Ando M, Song M, Tamimi RM, Kawachi I, Campbell PT, Giovannucci EL, Weiderpass E, et al: Is early-onset cancer an emerging global epidemic? Current evidence and future implications. Nat Rev Clin Oncol. 19:656–673. 2022. View Article : Google Scholar : PubMed/NCBI

12 

Colaprico A, Silva TC, Olsen C, Garofano L, Cava C, Garolini D, Sabedot TS, Malta TM, Pagnotta SM, Castiglioni I, et al: TCGAbiolinks: An R/bioconductor package for integrative analysis of TCGA data. Nucleic Acids Res. 44:e712016. View Article : Google Scholar : PubMed/NCBI

13 

Lê S, Josse J and Husson F: FactoMineR: An R package for multivariate analysis. J Stat Softw. 25:1–18. 2008. View Article : Google Scholar

14 

Love MI, Huber W and Anders S: Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15:5502014. View Article : Google Scholar : PubMed/NCBI

15 

Chandrashekar DS, Karthikeyan SK, Korla PK, Patel H, Shovon AR, Athar M, Netto GJ, Qin ZS, Kumar S, Manne U, et al: UALCAN: An update to the integrated cancer data analysis platform. Neoplasia. 25:18–27. 2022. View Article : Google Scholar : PubMed/NCBI

16 

Heagerty PJ and Saha P: SurvivalROC: Time-dependent ROC curve estimation from censored survival data. Biometrics. 2000.https://doi.org/10.32614/CRAN.package.survivalROC View Article : Google Scholar

17 

Wang X, Dong Y, Zhang H, Zhao Y, Miao T, Mohseni G, Du L and Wang C: DNA methylation drives a new path in gastric cancer early detection: Current impact and prospects. Genes Dis. 11:847–860. 2023. View Article : Google Scholar : PubMed/NCBI

18 

Gao X, Liu H, Yu J and Nie Y: DNA methylation biomarkers for early detection of gastric and colorectal cancers. Cancer Biol Med. 20:955–962. 2024. View Article : Google Scholar : PubMed/NCBI

19 

Necula L, Matei L, Dragu D, Neagu AI, Mambet C, Nedeianu S, Bleotu C, Diaconu CC and Chivu-Economescu M: Recent advances in gastric cancer early diagnosis. World J Gastroenterol. 25:2029–2044. 2019. View Article : Google Scholar : PubMed/NCBI

20 

Choi SH, Cho SY, Song J and Hur MW: KLHL4, a novel p53 target gene, inhibits cell proliferation by activating p21WAF/CDKN1A. Biochem Biophys Res Commun. 530:588–596. 2020. View Article : Google Scholar : PubMed/NCBI

21 

Gimeno RE, Ortegon AM, Patel S, Punreddy S, Ge P, Sun Y, Lodish HF and Stahl A: Characterization of a heart-specific fatty acid transport protein. J Biol Chem. 278:16039–16044. 2003. View Article : Google Scholar : PubMed/NCBI

22 

Hirokawa N, Noda Y, Tanaka Y and Niwa S: Kinesin superfamily motor proteins and intracellular transport. Nat Rev Mol Cell Biol. 10:682–696. 2009. View Article : Google Scholar : PubMed/NCBI

23 

Bellezza I, Giambanco I, Minelli A and Donato R: Nrf2-Keap1 signaling in oxidative and reductive stress. Biochim Biophys Acta Mol Cell Res. 1865:721–733. 2018. View Article : Google Scholar : PubMed/NCBI

24 

Liu Y, Shi Y, Han R, Liu C, Qin X, Li P and Gu R: Signaling pathways of oxidative stress response: The potential therapeutic targets in gastric cancer. Front Immunol. 14:11395892023. View Article : Google Scholar : PubMed/NCBI

25 

Baird L and Yamamoto M: The molecular mechanisms regulating the KEAP1-NRF2 pathway. Mol Cell Biol. 40:e00099–20. 2020. View Article : Google Scholar : PubMed/NCBI

26 

Kobayashi A, Kang MI, Watai Y, Tong KI, Shibata T, Uchida K and Yamamoto M: Oxidative and electrophilic stresses activate Nrf2 through inhibition of ubiquitination activity of Keap1. Mol Cell Biol. 26:221–229. 2006. View Article : Google Scholar : PubMed/NCBI

27 

Ulasov AV, Rosenkranz AA, Georgiev GP and Sobolev AS: Nrf2/Keap1/ARE signaling: Towards specific regulation. Life Sci. 291:1201112022. View Article : Google Scholar : PubMed/NCBI

28 

Freigang S, Ampenberger F, Spohn G, Heer S, Shamshiev AT, Kisielow J, Hersberger M, Yamamoto M, Bachmann MF and Kopf M: Nrf2 is essential for cholesterol crystal-induced inflammasome activation and exacerbation of atherosclerosis. Eur J Immunol. 41:2040–1051. 2011. View Article : Google Scholar : PubMed/NCBI

29 

Kuhn AM, Tzieply N, Schmidt MV, von Knethen A, Namgaladze D, Yamamoto M and Brüne B: Antioxidant signaling via Nrf2 counteracts lipopolysaccharide-mediated inflammatory responses in foam cell macrophages. Free Radic Biol Med. 50:1382–1391. 2011. View Article : Google Scholar : PubMed/NCBI

30 

Zhang Y, Choksi S, Chen K, Pobezinskaya Y, Linnoila I and Liu ZG: ROS play a critical role in the differentiation of alternatively activated macrophages and the occurrence of tumor-associated macrophages. Cell Res. 23:898–914. 2013. View Article : Google Scholar : PubMed/NCBI

31 

Robledinos-Antón N, Fernández-Ginés R, Manda G and Cuadrado A: Activators and inhibitors of NRF2: A review of their potential for clinical development. Oxid Med Cell Longev. 2019:93721822019. View Article : Google Scholar : PubMed/NCBI

32 

Tooze SA: Biogenesis of secretory granules in the trans-Golgi network of neuroendocrine and endocrine cells. Biochim Biophys Acta. 1404:231–244. 1998. View Article : Google Scholar : PubMed/NCBI

33 

Štepihar D, Florke Gee RR, Hoyos Sanchez MC and Fon Tacer K: Cell-specific secretory granule sorting mechanisms: The role of MAGEL2 and retromer in hypothalamic regulated secretion. Front Cell Dev Biol. 11:12430382023. View Article : Google Scholar : PubMed/NCBI

34 

Chomez P, De Backer O, Bertrand M, De Plaen E, Boon T and Lucas S: An overview of the MAGE gene family with the identification of all human members of the family. Cancer Res. 61:5544–5551. 2001.PubMed/NCBI

35 

Hao YH, Doyle JM, Ramanathan S, Gomez TS, Jia D, Xu M, Chen ZJ, Billadeau DD, Rosen MK and Potts PR: Regulation of WASH-dependent actin polymerization and protein trafficking by ubiquitination. Cell. 152:1051–1064. 2013. View Article : Google Scholar : PubMed/NCBI

36 

Hoencamp C and Rowland BD: Genome control by SMC complexes. Nat Rev Mol Cell Biol. 24:633–650. 2023. View Article : Google Scholar : PubMed/NCBI

37 

Sanderson MR, Fahlman RP and Wevrick R: The N-terminal domain of the Schaaf-Yang syndrome protein MAGEL2 likely has a role in RNA metabolism. J Biol Chem. 297:1009592021. View Article : Google Scholar : PubMed/NCBI

38 

Beaupre BA, Hoag MR, Roman J, Försterling FH and Moran GR: Metabolic function for human renalase: Oxidation of isomeric forms of β-NAD(P)H that are inhibitory to primary metabolism. Biochemistry. 54:795–806. 2015. View Article : Google Scholar : PubMed/NCBI

39 

Beaupre BA, Carmichael BR, Hoag MR, Shah DD and Moran GR: Renalase is an α-NAD(P)H oxidase/anomerase. J Am Chem Soc. 135:13980–13987. 2013. View Article : Google Scholar : PubMed/NCBI

40 

Pointer TC, Gorelick FS and Desir GV: Renalase: A multi-functional signaling molecule with roles in gastrointestinal disease. Cells. 10:20062021. View Article : Google Scholar : PubMed/NCBI

41 

Guo X, Jessel S, Qu R, Kluger Y, Chen TM, Hollander L, Safirstein R, Nelson B, Cha C, Bosenberg M, et al: Inhibition of renalase drives tumour rejection by promoting T cell activation. Eur J Cancer. 165:81–96. 2022. View Article : Google Scholar : PubMed/NCBI

42 

Guo X, Hollander L, MacPherson D, Wang L, Velazquez H, Chang J, Safirstein R, Cha C, Gorelick F and Desir GV: Inhibition of renalase expression and signaling has antitumor activity in pancreatic cancer. Sci Rep. 6:229962016. View Article : Google Scholar : PubMed/NCBI

43 

Hollander L, Guo X, Velazquez H, Chang J, Safirstein R, Kluger H, Cha C and Desir GV: Renalase expression by melanoma and tumor-associated macrophages promotes tumor growth through a STAT3-mediated mechanism. Cancer Res. 76:3884–3894. 2016. View Article : Google Scholar : PubMed/NCBI

44 

Pan Y, Wang X, He Y, Lin S, Zhu M, Li Y, Wang J, Wang J, Ma X, Xu J, et al: Tumor suppressor ATP4B serve as a promising biomarker for worsening of gastric atrophy and poor differentiation. Gastric Cancer. 24:314–326. 2021. View Article : Google Scholar : PubMed/NCBI

45 

Borghaei RC, Gorski G, Seutter S, Chun J, Khaselov N and Scianni S: Zinc-binding protein-89 (ZBP-89) cooperates with NF-κB to regulate expression of matrix metalloproteinases (MMPs) in response to inflammatory cytokines. Biochem Biophys Res Commun. 471:503–509. 2016. View Article : Google Scholar : PubMed/NCBI

46 

Borghaei RC, Gorski G and Javadi M; Mariah Chambers, : NF-kappaB and ZBP-89 regulate MMP-3 expression via a polymorphic site in the promoter. Biochem Biophys Res Commun. 382:269–273. 2009. View Article : Google Scholar : PubMed/NCBI

47 

Borghaei RC, Rawlings PL Jr, Javadi M and Woloshin J: NF-kappaB binds to a polymorphic repressor element in the MMP-3 promoter. Biochem Biophys Res Commun. 316:182–188. 2004. View Article : Google Scholar : PubMed/NCBI

48 

Morán A, Iniesta P, de Juan C, García-Aranda C, Díaz-López A and Benito M: Impairment of stromelysin-1 transcriptional activity by promoter mutations in high microsatellite instability colorectal tumors. Cancer Res. 65:3811–3814. 2005. View Article : Google Scholar : PubMed/NCBI

49 

Kim SJ, Hwang JA, Ro JY, Lee YS and Chun KH: Galectin-7 is epigenetically-regulated tumor suppressor in gastric cancer. Oncotarget. 4:1461–1471. 2013. View Article : Google Scholar : PubMed/NCBI

50 

Hou W, Pan M, Xiao Y and Ge W: Serum extracellular vesicle stratifin is a biomarker of perineural invasion in patients with colorectal cancer and predicts worse prognosis. Front Oncol. 12:9125842022. View Article : Google Scholar : PubMed/NCBI

51 

Jung JY, Koh SA, Lee KH and Kim JR: 14-3-3 Sigma protein contributes to hepatocyte growth factor-mediated cell proliferation and invasion via matrix metalloproteinase-1 regulation in human gastric cancer. Anticancer Res. 42:519–530. 2022. View Article : Google Scholar : PubMed/NCBI

52 

Chang WC, Huang SF, Lee YM, Lai HC, Cheng BH, Cheng WC, Ho JY, Jeng LB and Ma WL: Cholesterol import and steroidogenesis are biosignatures for gastric cancer patient survival. Oncotarget. 8:692–704. 2017. View Article : Google Scholar : PubMed/NCBI

53 

Cho LY, Yang JJ, Ko KP, Ma SH, Shin A, Choi BY, Han DS, Song KS, Kim YS, Chang SH, et al: Genetic susceptibility factors on genes involved in the steroid hormone biosynthesis pathway and progesterone receptor for gastric cancer risk. PLoS One. 7:e476032012. View Article : Google Scholar : PubMed/NCBI

54 

Xu CY, Guo JL, Jiang ZN, Xie SD, Shen JG, Shen JY and Wang LB: Prognostic role of estrogen receptor alpha and estrogen receptor beta in gastric cancer. Ann Surg Oncol. 17:2503–2509. 2010. View Article : Google Scholar : PubMed/NCBI

55 

Chandanos E, Rubio CA, Lindblad M, Jia C, Tsolakis AV, Warner M, Gustafsson JA and Lagergren J: Endogenous estrogen exposure in relation to distribution of histological type and estrogen receptors in gastric adenocarcinoma. Gastric Cancer. 11:168–174. 2008. View Article : Google Scholar : PubMed/NCBI

56 

Frycz BA, Murawa D, Borejsza-Wysocki M, Wichtowski M, Spychała A, Marciniak R, Murawa P, Drews M and Jagodziński PP: mRNA expression of steroidogenic enzymes, steroid hormone receptors and their coregulators in gastric cancer. Oncol Lett. 13:3369–3378. 2017. View Article : Google Scholar : PubMed/NCBI

57 

Kameda C, Nakamura M, Tanaka H, Yamasaki A, Kubo M, Tanaka M, Onishi H and Katano M: Oestrogen receptor-alpha contributes to the regulation of the hedgehog signalling pathway in ERalpha-positive gastric cancer. Br J Cancer. 102:738–747. 2010. View Article : Google Scholar : PubMed/NCBI

58 

Correa P and Piazuelo MB: The gastric precancerous cascade. J Dig Dis. 13:2–9. 2012. View Article : Google Scholar : PubMed/NCBI

59 

He Q, Liu L, Wei J, Jiang J, Rong Z, Chen X, Zhao J and Jiang K: Roles and action mechanisms of bile acid-induced gastric intestinal metaplasia: A review. Cell Death Discov. 8:1582022. View Article : Google Scholar : PubMed/NCBI

60 

Tatsugami M, Ito M, Tanaka S, Yoshihara M, Matsui H, Haruma K and Chayama K: Bile acid promotes intestinal metaplasia and gastric carcinogenesis. Cancer Epidemiol Biomarkers Prev. 21:2101–2107. 2012. View Article : Google Scholar : PubMed/NCBI

61 

Inoue Y, Yu AM, Yim SH, Ma X, Krausz KW, Inoue J, Xiang CC, Brownstein MJ, Eggertsen G, Björkhem I and Gonzalez FJ: Regulation of bile acid biosynthesis by hepatocyte nuclear factor 4alpha. J Lipid Res. 47:215–227. 2006. View Article : Google Scholar : PubMed/NCBI

62 

Tsukita S, Tanaka H and Tamura A: The claudins: From tight junctions to biological systems. Trends Biochem Sci. 44:141–152. 2019. View Article : Google Scholar : PubMed/NCBI

63 

Singh AB, Uppada SB and Dhawan P: Claudin proteins, outside-in signaling, and carcinogenesis. Pflugers Arch. 469:69–75. 2017. View Article : Google Scholar : PubMed/NCBI

64 

Gao M, Li W, Wang H and Wang G: The distinct expression patterns of claudin-10, −14, −17 and E-cadherin between adjacent non-neoplastic tissues and gastric cancer tissues. Diagn Pathol. 8:2052013. View Article : Google Scholar : PubMed/NCBI

65 

Wang H and Yang X: The expression patterns of tight junction protein claudin-1, −3, and −4 in human gastric neoplasms and adjacent non-neoplastic tissues. Int J Clin Exp Pathol. 8:881–887. 2015.PubMed/NCBI

66 

Zhu J and Wang R, Cao H, Zhang H, Xu S, Wang A, Liu B, Wang Y and Wang R: Expression of claudin-5, −7, −8 and −9 in cervical carcinoma tissues and adjacent non-neoplastic tissues. Int J Clin Exp Pathol. 8:9479–9486. 2015.PubMed/NCBI

67 

Lu YZ, Li Y, Zhang T and Han ST: Claudin-6 is down-regulated in gastric cancer and its potential pathway. Cancer Biomark. 28:329–340. 2020. View Article : Google Scholar : PubMed/NCBI

68 

Kohmoto T, Masuda K, Shoda K, Takahashi R, Ujiro S, Tange S, Ichikawa D, Otsuji E and Imoto I: Claudin-6 is a single prognostic marker and functions as a tumor-promoting gene in a subgroup of intestinal type gastric cancer. Gastric Cancer. 23:403–417. 2020. View Article : Google Scholar : PubMed/NCBI

69 

Łukaszewicz-Zając M and Mroczko B: Claudins-promising biomarkers for selected gastrointestinal (GI) malignancies? Cancers (Basel). 16:1522023. View Article : Google Scholar : PubMed/NCBI

70 

Simon AG, Lyu SI, Laible M, Wöll S, Türeci Ö, Şahin U, Alakus H, Fahrig L, Zander T, Buettner R, et al: The tight junction protein claudin 6 is a potential target for patient-individualized treatment in esophageal and gastric adenocarcinoma and is associated with poor prognosis. J Transl Med. 21:5522023. View Article : Google Scholar : PubMed/NCBI

71 

Torres-Martínez AC, Gallardo-Vera JF, Lara-Holguin AN, Montaño LF and Rendón-Huerta EP: Claudin-6 enhances cell invasiveness through claudin-1 in AGS human adenocarcinoma gastric cancer cells. Exp Cell Res. 350:226–235. 2017. View Article : Google Scholar : PubMed/NCBI

72 

Thaler R, Rumpler M, Spitzer S, Klaushofer K and Varga F: Mospd1, a new player in mesenchymal versus epidermal cell differentiation. J Cell Physiol. 226:2505–2515. 2011. View Article : Google Scholar : PubMed/NCBI

73 

Imoto Y, Raychaudhuri S, Ma Y, Fenske P, Sandoval E, Itoh K, Blumrich EM, Matsubayashi HT, Mamer L, Zarebidaki F, et al: Dynamin is primed at endocytic sites for ultrafast endocytosis. Neuron. 110:2815–2835.e13. 2022. View Article : Google Scholar : PubMed/NCBI

74 

Meng J: Distinct functions of dynamin isoforms in tumorigenesis and their potential as therapeutic targets in cancer. Oncotarget. 8:41701–41716. 2017. View Article : Google Scholar : PubMed/NCBI

75 

Thorsell AG, Persson C, Voevodskaya N, Busam RD, Hammarström M, Gräslund S, Gräslund A and Hallberg BM: Structural and biophysical characterization of human myo-inositol oxygenase. J Biol Chem. 283:15209–15216. 2008. View Article : Google Scholar : PubMed/NCBI

76 

Meng L, Gao J, Mo W, Wang B, Shen H, Cao W, Ding M, Diao W, Chen W, Zhang Q, et al: MIOX inhibits autophagy to regulate the ROS-driven inhibition of STAT3/c-Myc-mediated epithelial-mesenchymal transition in clear cell renal cell carcinoma. Redox Biol. 68:1029562023. View Article : Google Scholar : PubMed/NCBI

77 

Yang L, Li C, Qin Y, Zhang G, Zhao B, Wang Z, Huang Y and Yang Y: A Novel Prognostic model based on ferroptosis-related gene signature for bladder cancer. Front Oncol. 11:6860442021. View Article : Google Scholar : PubMed/NCBI

78 

Liu W, Xiang J, Wu X, Wei S, Huang H, Xiao Y, Zhai B and Wang T: Transcriptome profiles reveal a 12-signature metabolic prediction model and a novel role of myo-inositol oxygenase in the progression of prostate cancer. Front Oncol. 12:8998612022. View Article : Google Scholar : PubMed/NCBI

79 

Xu Z, Zhang S, Nian F and Xu S: Identification of a glycolysis-related gene signature associated with clinical outcome for patients with lung squamous cell carcinoma. Cancer Med. 10:4017–4029. 2021. View Article : Google Scholar : PubMed/NCBI

80 

Cengiz B, Yumrutas O, Bozgeyik E, Borazan E, Igci YZ, Bozgeyik I and Oztuzcu S: Differential expression of the UGT1A family of genes in stomach cancer tissues. Tumor Biol. 36:5831–5837. 2015. View Article : Google Scholar

81 

Pang SW, Lahiri C, Poh CL and Tan KO: PNMA family: Protein interaction network and cell signalling pathways implicated in cancer and apoptosis. Cell Signal. 45:54–62. 2018. View Article : Google Scholar : PubMed/NCBI

82 

Lee YH, Pang SW, Poh CL and Tan KO: Distinct functional domains of PNMA5 mediate protein-protein interaction, nuclear localization, and apoptosis signaling in human cancer cells. J Cancer Res Clin Oncol. 142:1967–1977. 2016. View Article : Google Scholar : PubMed/NCBI

83 

Lin J, Zhang X, Meng F, Zeng F, Liu W and He X: PNMA5 accelerated cellular proliferation, invasion and migration in colorectal cancer. Am J Transl Res. 4:2231–2243. 2022.PubMed/NCBI

84 

Cabarcas S and Schramm L: RNA polymerase III trans-cription in cancer: The BRF2 connection. Mol Cancer. 10:472011. View Article : Google Scholar : PubMed/NCBI

85 

Kang M, Lu S, Chong PK, Yeoh KG and Lim YP: Comparative proteomic profiling of extracellular proteins between normal and gastric cancer cells. Curr Cancer Drug Targets. 16:442–454. 2016. View Article : Google Scholar : PubMed/NCBI

86 

Zhang Y, Wu H, Yang F, Ning J, Li M, Zhao C, Zhong S, Gu K and Wang H: Prognostic value of the expression of DNA repair-related biomarkers mediated by alcohol in gastric cancer patients. Am J Pathol. 188:367–377. 2018. View Article : Google Scholar : PubMed/NCBI

87 

Welch MD, DePace AH, Verma S, Iwamatsu A and Mitchison TJ: The human Arp2/3 complex is composed of evolutionarily conserved subunits and is localized to cellular regions of dynamic actin filament assembly. J Cell Biol. 138:375–384. 1997. View Article : Google Scholar : PubMed/NCBI

88 

Yoo Y, Wu X and Guan JL: A novel role of the actin-nucleating Arp2/3 complex in the regulation of RNA polymerase II-dependent transcription. J Biol Chem. 282:7616–7623. 2007. View Article : Google Scholar : PubMed/NCBI

89 

Lee GE, Kim JH, Taylor M and Muller MT: DNA methyltransferase 1-associated protein (DMAP1) is a co-repressor that stimulates DNA methylation globally and locally at sites of double strand break repair. J Biol Chem. 285:37630–37640. 2010. View Article : Google Scholar : PubMed/NCBI

90 

Li B, Zhu J and Meng L: High expression of ACTL8 is poor prognosis and accelerates cell progression in head and neck squamous cell carcinoma. Mol Med Rep. 19:877–884. 2019.PubMed/NCBI

91 

Han Q, Sun ML, Liu WS, Zhao HS, Jiang LY, Yu ZJ and Wei MJ: Upregulated expression of ACTL8 contributes to invasion and metastasis and indicates poor prognosis in colorectal cancer. Onco Targets Ther. 12:1749–1763. 2019. View Article : Google Scholar : PubMed/NCBI

92 

Mantilla MJ, Chaves JJ, Ochoa-Vera M, Africano F, Parra-Medina R and Tovar-Fierro G: Clinical characteristics of early-onset gastric cancer. A study in a Colombian population. Rev Gastroenterol Peru. 43:236–241. 2023. View Article : Google Scholar : PubMed/NCBI

93 

Liu H, Li Z, Zhang Q, Li Q, Zhong H, Wang Y, Yang H, Li H, Wang X, Li K, et al: Multi-institutional development and validation of a nomogram to predict prognosis of early-onset gastric cancer patients. Front Immunol. 13:10071762022. View Article : Google Scholar : PubMed/NCBI

94 

Umeyama K, Sowa M, Kamino K, Kato Y and Satake K: Gastric carcinoma in young adults in Japan. Anticancer Res. 2:283–286. 1982.PubMed/NCBI

95 

LaPelusa M, Shen C, Gillaspie EA, Cann C, Lambright E, Chakravarthy AB, Gibson MK and Eng C: Variation in treatment patterns of patients with early-onset gastric cancer. Cancers (Basel). 14:36332022. View Article : Google Scholar : PubMed/NCBI

96 

Setia N, Wang CX, Lager A, Maron S, Shroff S, Arndt N, Peterson B, Kupfer SS, Ma C, Misdraji J, et al: Morphologic and molecular analysis of early-onset gastric cancer. Cancer. 127:103–114. 2021. View Article : Google Scholar : PubMed/NCBI

97 

Mun DG, Bhin J, Kim S, Kim H, Jung JH, Jung Y, Jang YE, Park JM, Kim H, Jung Y, et al: Proteogenomic characterization of human early-onset gastric cancer. Cancer Cell. 35:111–124.e10. 2019. View Article : Google Scholar : PubMed/NCBI

98 

Ma Z, Liu X, Paul ME, Chen M, Zheng P and Chen H: Comparative investigation of early-onset gastric cancer. Oncol Lett. 21:3742021. View Article : Google Scholar : PubMed/NCBI

99 

Skierucha M, Milne AN, Offerhaus GJ, Polkowski WP, Maciejewski R and Sitarz R: Molecular alterations in gastric cancer with special reference to the early-onset subtype. World J Gastroenterol. 22:2460–2474. 2016. View Article : Google Scholar : PubMed/NCBI

100 

Gao F, Li M, Xiang R, Zhou X, Zhu L and Zhai Y: Expression of CLDN6 in tissues of gastric cancer patients: Association with clinical pathology and prognosis. Oncol Lett. 17:4621–4625. 2019.PubMed/NCBI

101 

Wu LH, Wang XX, Wang Y, Wei J, Liang ZR, Yan X and Wang J: Construction and validation of a prognosis signature based on the immune microenvironment in gastric cancer. Front Surg. 10:10882922023. View Article : Google Scholar : PubMed/NCBI

102 

Ajani JA, D'Amico TA, Bentrem DJ, Chao J, Cooke D, Corvera C, Das P, Enzinger PC, Enzler T, Fanta P, et al: Gastric cancer, version 2.2022, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 20:167–192. 2022. View Article : Google Scholar : PubMed/NCBI

103 

Lordick F, Carneiro F, Cascinu S, Fleitas T, Haustermans K, Piessen G, Vogel A and Smyth EC; ESMO Guidelines Committee. Electronic address, : simpleclinicalguidelines@esmo.org: Gastric cancer: ESMO clinical practice guideline for diagnosis, treatment and follow-up. Ann Oncol. 33:1005–1020. 2022. View Article : Google Scholar : PubMed/NCBI

104 

Gao S, Li J, Wang W, Wang Y, Shan Y and Tan H: Rabdosia rubescens (Hemsl.) H. Hara: A potent anti-tumor herbal remedy-Botany, phytochemistry, and clinical applications and insights. J Ethnopharmacol. 340:1192002025. View Article : Google Scholar : PubMed/NCBI

105 

Gao S, Shan Y, Wang Y, Wang W, Li J and Tan H: Polysaccharides from Lonicera japonica Thunb.: Extraction, purification, structural features and biological activities-A review. Int J Biol Macromol. 281:1364722024. View Article : Google Scholar : PubMed/NCBI

106 

Gao S, Gang J, Yu M, Xin G and Tan H: Computational analysis for identification of early diagnostic biomarkers and prognostic biomarkers of liver cancer based on GEO and TCGA databases and studies on pathways and biological functions affecting the survival time of liver cancer. BMC Cancer. 21:7912021. View Article : Google Scholar : PubMed/NCBI

Related Articles

  • Abstract
  • View
  • Download
  • Twitter
Copy and paste a formatted citation
Spandidos Publications style
Gómez‑Valenzuela F, Silva I, Retamal IN, García‑Bloj B, De Mayo Glasser T, Muñoz‑Medel M, Gómez A, San Martín C, Sánchez C, Pinto F, Pinto F, et al: Comprehensive <em>in‑silico</em> molecular analysis of early‑onset gastric cancer identifies novel genes implicated in disease characterization and progression (Review). Oncol Rep 54: 98, 2025.
APA
Gómez‑Valenzuela, F., Silva, I., Retamal, I.N., García‑Bloj, B., De Mayo Glasser, T., Muñoz‑Medel, M. ... Garrido, M. (2025). Comprehensive <em>in‑silico</em> molecular analysis of early‑onset gastric cancer identifies novel genes implicated in disease characterization and progression (Review). Oncology Reports, 54, 98. https://doi.org/10.3892/or.2025.8931
MLA
Gómez‑Valenzuela, F., Silva, I., Retamal, I. N., García‑Bloj, B., De Mayo Glasser, T., Muñoz‑Medel, M., Gómez, A., San Martín, C., Sánchez, C., Pinto, F., Aravena, P., Sabioncello, A. C., Garrido Villanueva, M., Sigler Chávez, F., Corvalán, I., Barrios, H., Erpel, J. M., Manque, P. A., Godoy, J. A., Garrido, M."Comprehensive <em>in‑silico</em> molecular analysis of early‑onset gastric cancer identifies novel genes implicated in disease characterization and progression (Review)". Oncology Reports 54.2 (2025): 98.
Chicago
Gómez‑Valenzuela, F., Silva, I., Retamal, I. N., García‑Bloj, B., De Mayo Glasser, T., Muñoz‑Medel, M., Gómez, A., San Martín, C., Sánchez, C., Pinto, F., Aravena, P., Sabioncello, A. C., Garrido Villanueva, M., Sigler Chávez, F., Corvalán, I., Barrios, H., Erpel, J. M., Manque, P. A., Godoy, J. A., Garrido, M."Comprehensive <em>in‑silico</em> molecular analysis of early‑onset gastric cancer identifies novel genes implicated in disease characterization and progression (Review)". Oncology Reports 54, no. 2 (2025): 98. https://doi.org/10.3892/or.2025.8931
Copy and paste a formatted citation
x
Spandidos Publications style
Gómez‑Valenzuela F, Silva I, Retamal IN, García‑Bloj B, De Mayo Glasser T, Muñoz‑Medel M, Gómez A, San Martín C, Sánchez C, Pinto F, Pinto F, et al: Comprehensive <em>in‑silico</em> molecular analysis of early‑onset gastric cancer identifies novel genes implicated in disease characterization and progression (Review). Oncol Rep 54: 98, 2025.
APA
Gómez‑Valenzuela, F., Silva, I., Retamal, I.N., García‑Bloj, B., De Mayo Glasser, T., Muñoz‑Medel, M. ... Garrido, M. (2025). Comprehensive <em>in‑silico</em> molecular analysis of early‑onset gastric cancer identifies novel genes implicated in disease characterization and progression (Review). Oncology Reports, 54, 98. https://doi.org/10.3892/or.2025.8931
MLA
Gómez‑Valenzuela, F., Silva, I., Retamal, I. N., García‑Bloj, B., De Mayo Glasser, T., Muñoz‑Medel, M., Gómez, A., San Martín, C., Sánchez, C., Pinto, F., Aravena, P., Sabioncello, A. C., Garrido Villanueva, M., Sigler Chávez, F., Corvalán, I., Barrios, H., Erpel, J. M., Manque, P. A., Godoy, J. A., Garrido, M."Comprehensive <em>in‑silico</em> molecular analysis of early‑onset gastric cancer identifies novel genes implicated in disease characterization and progression (Review)". Oncology Reports 54.2 (2025): 98.
Chicago
Gómez‑Valenzuela, F., Silva, I., Retamal, I. N., García‑Bloj, B., De Mayo Glasser, T., Muñoz‑Medel, M., Gómez, A., San Martín, C., Sánchez, C., Pinto, F., Aravena, P., Sabioncello, A. C., Garrido Villanueva, M., Sigler Chávez, F., Corvalán, I., Barrios, H., Erpel, J. M., Manque, P. A., Godoy, J. A., Garrido, M."Comprehensive <em>in‑silico</em> molecular analysis of early‑onset gastric cancer identifies novel genes implicated in disease characterization and progression (Review)". Oncology Reports 54, no. 2 (2025): 98. https://doi.org/10.3892/or.2025.8931
Follow us
  • Twitter
  • LinkedIn
  • Facebook
About
  • Spandidos Publications
  • Careers
  • Cookie Policy
  • Privacy Policy
How can we help?
  • Help
  • Live Chat
  • Contact
  • Email to our Support Team