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Article Open Access

Identification of an energy metabolism‑related gene signature in ovarian cancer prognosis

  • Authors:
    • Lei Wang
    • Xiuqin Li
  • View Affiliations / Copyright

    Affiliations: Department of Obstetrics and Gynecology, ShengJing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China
    Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 1755-1770
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    Published online on: March 17, 2020
       https://doi.org/10.3892/or.2020.7548
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Abstract

Changes in energy metabolism may be potential biomarkers and therapeutic targets for cancer as they frequently occur within cancer cells. However, basic cancer research has failed to reach a consistent conclusion on the function(s) of mitochondria in energy metabolism. The significance of energy metabolism in the prognosis of ovarian cancer remains unclear; thus, there remains an urgent need to systematically analyze the characteristics and clinical value of energy metabolism in ovarian cancer. Based on gene expression patterns, the present study aimed to analyze energy metabolism‑associated characteristics to evaluate the prognosis of patients with ovarian cancer. A total of 39 energy metabolism‑related genes significantly associated with prognosis were obtained, and three molecular subtypes were identified by nonnegative matrix factorization clustering, among which the C1 subtype was associated with poor clinical outcomes of ovarian cancer. The immune response was enhanced in the tumor microenvironment. A total of 888 differentially expressed genes were identified in C1 compared with the other subtypes, and the results of the pathway enrichment analysis demonstrated that they were enriched in the ‘PI3K‑Akt signaling pathway’, ‘cAMP signaling pathway’, ‘ECM‑receptor interaction’ and other pathways associated with the development and progression of tumors. Finally, eight characteristic genes (tolloid‑like 1 gene, type XVI collagen, prostaglandin F2α, cartilage intermediate layer protein 2, kinesin family member 26b, interferon inducible protein 27, growth arrest‑specific gene 1 and chemokine receptor 7) were obtained through LASSO feature selection; and a number of them have been demonstrated to be associated with ovarian cancer progression. In addition, Cox regression analysis was performed to establish an 8‑gene signature, which was determined to be an independent prognostic factor for patients with ovarian cancer and could stratify sample risk in the training, test and external validation datasets (P<0.01; AUC >0.8). Gene Set Enrichment Analysis results revealed that the 8‑gene signature was involved in important biological processes and pathways of ovarian cancer. In conclusion, the present study established an 8‑gene signature associated with metabolic genes, which may provide new insights into the effects of energy metabolism on ovarian cancer. The 8‑gene signature may serve as an independent prognostic factor for ovarian cancer patients.
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View References

1 

Gansler T, Ganz PA, Grant M, Greene FL, Johnstone P, Mahoney M, Newman LA, Oh WK, Thomas CR Jr, Thun MJ, et al: Sixty years of CA: A cancer journal for clinicians. CA Cancer J Clin. 60:345–350. 2010. View Article : Google Scholar : PubMed/NCBI

2 

Coward JI, Middleton K and Murphy F: New perspectives on targeted therapy in ovarian cancer. Int J Womens Health. 7:189–203. 2015. View Article : Google Scholar : PubMed/NCBI

3 

Cannistra SA: Cancer of the ovary. N Engl J Med. 351:2519–2529. 2004. View Article : Google Scholar : PubMed/NCBI

4 

Kreienbring K, Franz A, Richter R, Dragun D, Heidecke H, Müller D, Mentze M, Dechend R, Sehouli J and Braicu EI: The role of PAR1 autoantibodies in patients with primary epithelial ovarian cancer. Anticancer Res. 38:3619–3625. 2018. View Article : Google Scholar : PubMed/NCBI

5 

du Bois A, Reuss A, Pujade-Lauraine E, Harter P, Ray-Coquard I and Pfisterer J: Role of surgical outcome as prognostic factor in advanced epithelial ovarian cancer: A combined exploratory analysis of 3 prospectively randomized phase 3 multicenter trials: By the Arbeitsgemeinschaft Gynaekologische Onkologie Studiengruppe Ovarialkarzinom (AGO-OVAR) and the Groupe d'Investigateurs Nationaux Pour les Etudes des Cancers de l'Ovaire (GINECO). Cancer. 115:1234–1244. 2009. View Article : Google Scholar : PubMed/NCBI

6 

Ozols RF, Bundy BN, Greer BE, Fowler JM, Clarke-Pearson D, Burger RA, Mannel RS, DeGeest K, Hartenbach EM and Baergen R; Gynecologic Oncology Group, : Phase III trial of carboplatin and paclitaxel compared with cisplatin and paclitaxel in patients with optimally resected stage III ovarian cancer: A Gynecologic Oncology Group study. J Clin Oncol. 21:3194–3200. 2003. View Article : Google Scholar : PubMed/NCBI

7 

Derlatka P, Sienko J, Grabowska-Derlatka L, Palczewski P, Danska-Bidzinska A, Bidzinski M and Czajkowski K: Results of optimal debulking surgery with bowel resection in patients with advanced ovarian cancer. World J Surg Oncol. 14:582016. View Article : Google Scholar : PubMed/NCBI

8 

Bristow RE, Tomacruz RS, Armstrong DK, Trimble EL and Montz FJ: Survival effect of maximal cytoreductive surgery for advanced ovarian carcinoma during the platinum era: A meta-analysis. J Clin Oncol. 20:1248–1259. 2002. View Article : Google Scholar : PubMed/NCBI

9 

Dressman HK, Berchuck A, Chan G, Zhai J, Bild A, Sayer R, Cragun J, Clarke J, Whitaker RS, Li L, et al: An integrated genomic-based approach to individualized treatment of patients with advanced-stage ovarian cancer. J Clin Oncol. 25:517–525. 2007. View Article : Google Scholar : PubMed/NCBI

10 

Cramer DW, Harlow BL, Willett WC, Welch WR, Bell DA, Scully RE, Ng WG and Knapp RC: Galactose consumption and metabolism in relation to the risk of ovarian cancer. Lancet. 2:66–71. 1989. View Article : Google Scholar : PubMed/NCBI

11 

Webb PM, Bain CJ, Purdie DM, Harvey PW and Green A: Milk consumption, galactose metabolism and ovarian cancer (Australia). Cancer Causes Control. 9:637–644. 1998. View Article : Google Scholar : PubMed/NCBI

12 

Nieman KM, Kenny HA, Penicka CV, Ladanyi A, Buell-Gutbrod R, Zillhardt MR, Romero IL, Carey MS, Mills GB, Hotamisligil GS, et al: Adipocytes promote ovarian cancer metastasis and provide energy for rapid tumor growth. Nat Med. 17:1498–1503. 2011. View Article : Google Scholar : PubMed/NCBI

13 

Warburg O: On the origin of cancer cells. Science. 123:309–314. 1956. View Article : Google Scholar : PubMed/NCBI

14 

Gambhir SS: Molecular imaging of cancer with positron emission tomography. Nat Rev Cancer. 2:683–693. 2002. View Article : Google Scholar : PubMed/NCBI

15 

Lunt SY and Vander Heiden MG: Aerobic glycolysis: Meeting the metabolic requirements of cell proliferation. Annu Rev Cell Dev Biol. 27:441–464. 2011. View Article : Google Scholar : PubMed/NCBI

16 

Schornack PA and Gillies RJ: Contributions of cell metabolism and H+ diffusion to the acidic pH of tumors. Neoplasia. 5:135–145. 2003. View Article : Google Scholar : PubMed/NCBI

17 

Smallbone K, Gavaghan DJ, Gatenby RA and Maini PK: The role of acidity in solid tumour growth and invasion. J Theor Biol. 235:476–484. 2005. View Article : Google Scholar : PubMed/NCBI

18 

Fumarola C, Petronini PG and Alfieri R: Impairing energy metabolism in solid tumors through agents targeting oncogenic signaling pathways. Biochem Pharmacol. 151:114–125. 2018. View Article : Google Scholar : PubMed/NCBI

19 

Sonveaux P, Végran F, Schroeder T, Wergin MC, Verrax J, Rabbani ZN, De Saedeleer CJ, Kennedy KM, Diepart C, Jordan BF, et al: Targeting lactate-fueled respiration selectively kills hypoxic tumor cells in mice. J Clin Invest. 118:3930–3942. 2008.PubMed/NCBI

20 

Whitaker-Menezes D, Martinez-Outschoorn UE, Flomenberg N, Birbe RC, Witkiewicz AK, Howell A, Pavlides S, Tsirigos A, Ertel A, Pestell RG, et al: Hyperactivation of oxidative mitochondrial metabolism in epithelial cancer cells in situ: Visualizing the therapeutic effects of metformin in tumor tissue. Cell Cycle. 10:4047–4064. 2011. View Article : Google Scholar : PubMed/NCBI

21 

Faubert B, Li KY, Cai L, Hensley CT, Kim J, Zacharias LG, Yang C, Do QN, Doucette S, Burguete D, et al: Lactate metabolism in human lung tumors. Cell. 171:358–371.e9. 2017. View Article : Google Scholar : PubMed/NCBI

22 

Bonuccelli G, Tsirigos A, Whitaker-Menezes D, Pavlides S, Pestell RG, Chiavarina B, Frank PG, Flomenberg N, Howell A, Martinez-Outschoorn UE, et al: Ketones and lactate ‘fuel’ tumor growth and metastasis: Evidence that epithelial cancer cells use oxidative mitochondrial metabolism. Cell Cycle. 9:3506–3514. 2010. View Article : Google Scholar : PubMed/NCBI

23 

Le A, Lane AN, Hamaker M, Bose S, Gouw A, Barbi J, Tsukamoto T, Rojas CJ, Slusher BS, Zhang H, et al: Glucose-independent glutamine metabolism via TCA cycling for proliferation and survival in B cells. Cell Metab. 15:110–121. 2012. View Article : Google Scholar : PubMed/NCBI

24 

Prudkov PN: Mental effort and fatigue as consequences of monotony. Behav Brain Sci. 36:702–703; discussion 707–726. 2013. View Article : Google Scholar : PubMed/NCBI

25 

Wu F, Zhao Z, Chai RC, Liu YQ, Li GZ, Jiang HY and Jiang T: Prognostic power of a lipid metabolism gene panel for diffuse gliomas. J Cell Mol Med. 23:7741–7748. 2019. View Article : Google Scholar : PubMed/NCBI

26 

Zhou Z, Huang R, Chai R, Zhou X, Hu Z, Wang W, Chen B, Deng L, Liu Y and Wu F: Identification of an energy metabolism-related signature associated with clinical prognosis in diffuse glioma. Aging (Albany NY). 10:3185–3209. 2018. View Article : Google Scholar : PubMed/NCBI

27 

Liu YQ, Chai RC, Wang YZ, Wang Z, Liu X, Wu F and Jiang T: Amino acid metabolism-related gene expression-based risk signature can better predict overall survival for glioma. Cancer Sci. 110:321–333. 2019. View Article : Google Scholar : PubMed/NCBI

28 

Ma B, Jiang H, Wen D, Hu J, Han L, Liu W, Xu W, Shi X, Wei W, Liao T, et al: Transcriptome analyses identify a metabolic gene signature indicative of dedifferentiation of papillary thyroid cancer. J Clin Endocrinol Metab. 104:3713–3725. 2019. View Article : Google Scholar : PubMed/NCBI

29 

Luo X, Yu H, Song Y and Sun T: Integration of metabolomic and transcriptomic data reveals metabolic pathway alteration in breast cancer and impact of related signature on survival. J Cell Physiol. 234:13021–13031. 2019. View Article : Google Scholar : PubMed/NCBI

30 

Liu GM, Xie WX, Zhang CY and Xu JW: Identification of a four-gene metabolic signature predicting overall survival for hepatocellular carcinoma. J Cell Physiol. 235:1624–1636. 2020. View Article : Google Scholar : PubMed/NCBI

31 

Gentric G, Kieffer Y, Mieulet V, Goundiam O, Bonneau C, Nemati F, Hurbain I, Raposo G, Popova T, Stern MH, et al: PML-regulated mitochondrial metabolism enhances chemosensitivity in human ovarian cancers. Cell Metab. 29:156–173.e10. 2019. View Article : Google Scholar : PubMed/NCBI

32 

Fabregat A, Jupe S, Matthews L, Sidiropoulos K, Gillespie M, Garapati P, Haw R, Jassal B, Korninger F, May B, et al: The reactome pathway knowledgebase. Nucleic Acids Res. 46:D649–D655. 2018. View Article : Google Scholar : PubMed/NCBI

33 

Gautier L, Cope L, Bolstad BM and Irizarry RA: Affy-analysis of Affymetrix GeneChip data at the probe level. Bioinformatics. 20:307–315. 2004. View Article : Google Scholar : PubMed/NCBI

34 

Guo JC, Wu Y, Chen Y, Pan F, Wu ZY, Zhang JS, Wu JY, Xu XE, Zhao JM, Li EM, et al: Protein-coding genes combined with long noncoding RNA as a novel transcriptome molecular staging model to predict the survival of patients with esophageal squamous cell carcinoma. Cancer Commun (Lond). 38:42018. View Article : Google Scholar : PubMed/NCBI

35 

Mirzal A: Nonparametric tikhonov regularized NMF and its application in cancer clustering. IEEE/ACM Trans Comput Biol Bioinform. 11:1208–1217. 2014. View Article : Google Scholar : PubMed/NCBI

36 

Yu N, Gao YL, Liu JX, Shang J, Zhu R and Dai LY: Co-differential gene selection and clustering based on graph regularized multi-view NMF in cancer genomic data. Genes (Basel). 9:E5862018. View Article : Google Scholar : PubMed/NCBI

37 

Ye C, Toyoda K and Ohtsuki T: Blind source separation on non-contact heartbeat detection by non-negative matrix factorization algorithms. IEEE Trans Biomed Eng. 67:482–494. 2019. View Article : Google Scholar : PubMed/NCBI

38 

Li B, Severson E, Pignon JC, Zhao H, Li T, Novak J, Jiang P, Shen H, Aster JC, Rodig S, et al: Comprehensive analyses of tumor immunity: Implications for cancer immunotherapy. Genome Biol. 17:1742016. View Article : Google Scholar : PubMed/NCBI

39 

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

40 

Hänzelmann S, Castelo R and Guinney J: GSVA: Gene set variation analysis for microarray and RNA-seq data. BMC Bioinformatics. 14:72013. View Article : Google Scholar : PubMed/NCBI

41 

Yu G, Wang LG, Han Y and He QY: clusterProfiler: An R package for comparing biological themes among gene clusters. OMICS. 16:284–287. 2012. View Article : Google Scholar : PubMed/NCBI

42 

Kostareli E, Hielscher T, Zucknick M, Baboci L, Wichmann G, Holzinger D, Mücke O, Pawlita M, Del Mistro A, Boscolo-Rizzo P, et al: Gene promoter methylation signature predicts survival of head and neck squamous cell carcinoma patients. Epigenetics. 11:61–73. 2016. View Article : Google Scholar : PubMed/NCBI

43 

Zhang JX, Song W, Chen ZH, Wei JH, Liao YJ, Lei J, Hu M, Chen GZ, Liao B, Lu J, et al: Prognostic and predictive value of a microRNA signature in stage II colon cancer: A microRNA expression analysis. Lancet Oncol. 14:1295–1306. 2013. View Article : Google Scholar : PubMed/NCBI

44 

Papaemmanuil E, Gerstung M, Malcovati L, Tauro S, Gundem G, Van Loo P, Yoon CJ, Ellis P, Wedge DC, Pellagatti A, et al: Clinical and biological implications of driver mutations in myelodysplastic syndromes. Blood. 122:3616–3627; quiz 3699. 2013. View Article : Google Scholar : PubMed/NCBI

45 

Yuan Y, Van Allen EM, Omberg L, Wagle N, Amin-Mansour A, Sokolov A, Byers LA, Xu Y, Hess KR, Diao L, et al: Assessing the clinical utility of cancer genomic and proteomic data across tumor types. Nat Biotechnol. 32:644–652. 2014. View Article : Google Scholar : PubMed/NCBI

46 

Friedman J, Hastie T and Tibshirani R: Regularization paths for generalized linear models via coordinate descent. J Stat Softw. 33:1–22. 2010. View Article : Google Scholar : PubMed/NCBI

47 

Subramanian A, Kuehn H, Gould J, Tamayo P and Mesirov JP: GSEA-P: A desktop application for gene set enrichment analysis. Bioinformatics. 23:3251–3253. 2007. View Article : Google Scholar : PubMed/NCBI

48 

Liberzon A, Subramanian A, Pinchback R, Thorvaldsdóttir H, Tamayo P and Mesirov JP: Molecular signatures database (MSigDB) 3.0. Bioinformatics. 27:1739–1740. 2011. View Article : Google Scholar : PubMed/NCBI

49 

Zhou J, Yi Y, Wang C, Su C and Luo Y: Identification of a 3-mRNA signature as a novel potential prognostic biomarker in patients with ovarian serous cystadenocarcinoma in G2 and G3. Oncol Lett. 18:3545–3552. 2019.PubMed/NCBI

50 

Wang Q, Lu Z, Ma J, Zhang Q, Wang N, Qian L, Zhang J, Chen C and Lu B: Six-mRNA risk score system and nomogram constructed for patients with ovarian cancer. Oncol Lett. 18:1235–1245. 2019.PubMed/NCBI

51 

An Y, Bi F, You Y, Liu X and Yang Q: Development of a novel autophagy-related prognostic signature for serous ovarian cancer. J Cancer. 9:4058–4071. 2018. View Article : Google Scholar : PubMed/NCBI

52 

Wang R, Ye XH, Zhao XL, Liu JL and Zhang CY: Development of a five-gene signature as a novel prognostic marker in ovarian cancer. Neoplasma. 66:343–349. 2019. View Article : Google Scholar : PubMed/NCBI

53 

Verhaak RG, Tamayo P, Yang JY, Hubbard D, Zhang H, Creighton CJ, Fereday S, Lawrence M, Carter SL, Mermel CH, et al: Prognostically relevant gene signatures of high-grade serous ovarian carcinoma. J Clin Invest. 123:517–525. 2013.PubMed/NCBI

54 

Yoshihara K, Tajima A, Komata D, Yamamoto T, Kodama S, Fujiwara H, Suzuki M, Onishi Y, Hatae M, Sueyoshi K, et al: Gene expression profiling of advanced-stage serous ovarian cancers distinguishes novel subclasses and implicates ZEB2 in tumor progression and prognosis. Cancer Sci. 100:1421–1428. 2009. View Article : Google Scholar : PubMed/NCBI

55 

Anderson KS, Cramer DW, Sibani S, Wallstrom G, Wong J, Park J, Qiu J, Vitonis A and LaBaer J: Autoantibody signature for the serologic detection of ovarian cancer. J Proteome Res. 14:578–586. 2015. View Article : Google Scholar : PubMed/NCBI

56 

Yang X, Zhang L and Xie L: Upregulation of KIF26B, cell migration and proliferation of human ovarian cancer cell lines in vitro, and patient outcomes from human bioinformatic analysis. Med Sci Moni. 24:3863–3872. 2018. View Article : Google Scholar

57 

Li S, Xie Y, Zhang W, Gao J, Wang M, Zheng G, Yin X, Xia H and Tao X: Interferon alpha-inducible protein 27 promotes epithelial-mesenchymal transition and induces ovarian tumorigenicity and stemness. J Surg Res. 193:255–264. 2015. View Article : Google Scholar : PubMed/NCBI

58 

Joshi A, Dai L, Liu Y, Lee J, Ghahhari NM, Segala G, Beebe K, Jenkins LM, Lyons GC, Bernasconi L, et al: The mitochondrial HSP90 paralog TRAP1 forms an OXPHOS-regulated tetramer and is involved in mitochondrial metabolic homeostasis. BMC Biol. 18:102020. View Article : Google Scholar : PubMed/NCBI

59 

Valle-Mendiola A and Soto-Cruz I: Energy metabolism in cancer: The roles of STAT3 and STAT5 in the regulation of metabolism-related genes. Cancers (Basel). 12:E1242020. View Article : Google Scholar : PubMed/NCBI

60 

Meng N, Glorieux C, Zhang Y, Liang L, Zeng P, Lu W and Huang P: Oncogenic K-ras induces mitochondrial OPA3 expression to promote energy metabolism in pancreatic cancer cells. Cancers (Basel). 12:E652019. View Article : Google Scholar : PubMed/NCBI

61 

Ha JH, Radhakrishnan R, Jayaraman M, Yan M, Ward JD, Fung KM, Moxley K, Sood AK, Isidoro C, Mukherjee P, et al: LPA induces metabolic reprogramming in ovarian cancer via a pseudohypoxic response. Cancer Res. 78:1923–1934. 2018. View Article : Google Scholar : PubMed/NCBI

62 

Cateau X, Simon P and Noël JC: Stromal expression of matrix metalloproteinase 2 in cancer-associated fibroblasts is strongly related to human epidermal growth factor receptor 2 status in invasive breast carcinoma. Mol Clin Oncol. 4:375–378. 2016. View Article : Google Scholar : PubMed/NCBI

63 

Thurnher M, Gruenbacher G and Nussbaumer O: Regulation of mevalonate metabolism in cancer and immune cells. Biochim Biophys Acta. 1831:1009–1015. 2013. View Article : Google Scholar : PubMed/NCBI

64 

Ghesquière B, Wong BW, Kuchnio A and Carmeliet P: Metabolism of stromal and immune cells in health and disease. Nature. 511:167–176. 2014. View Article : Google Scholar : PubMed/NCBI

65 

Becker JC, Andersen MH, Schrama D and Thor Straten P: Immune-suppressive properties of the tumor microenvironment. Cancer Immunol Immunother. 62:1137–1148. 2013. View Article : Google Scholar : PubMed/NCBI

66 

Colombo I, Garg S, Danesh A, Bruce J, Shaw P, Tan Q, Quevedo R, Braunstein M, Oza AM, Pugh T and Lheureux S: Heterogeneous alteration of the ERBB3-MYC axis associated with MEK inhibitor resistance in a KRAS-mutated low-grade serous ovarian cancer patient. Cold Spring Harb Mol Case Stud. 5:a0043412019. View Article : Google Scholar : PubMed/NCBI

67 

Llovet JM, Ricci S, Mazzaferro V, Hilgard P, Gane E, Blanc JF, de Oliveira AC, Santoro A, Raoul JL, Forner A, et al: Sorafenib in advanced hepatocellular carcinoma. N Engl J Med. 359:378–390. 2008. View Article : Google Scholar : PubMed/NCBI

68 

Cheng AL, Kang YK, Chen Z, Tsao CJ, Qin S, Kim JS, Luo R, Feng J, Ye S, Yang TS, et al: Efficacy and safety of sorafenib in patients in the Asia-Pacific region with advanced hepatocellular carcinoma: A phase III randomised, double-blind, placebo-controlled trial. Lancet Oncol. 10:25–34. 2009. View Article : Google Scholar : PubMed/NCBI

69 

Wang Y: Comment on ‘Circular RNAs and their emerging roles as diagnostic and prognostic biomarkers in ovarian cancer,’. Cancer Lett. 2020 Jan 2; 473 (2020) 139–147. Cancer Lett. 475:12020. View Article : Google Scholar : PubMed/NCBI

70 

Martin de la Fuente L, Westbom-Fremer S, Arildsen NS, Hartman L, Malander S, Kannisto P, Måsbäck A and Hedenfalk I: PD-1/PD-L1 expression and tumor-infiltrating lymphocytes are prognostically favorable in advanced high-grade serous ovarian carcinoma. Virchows Arch. Jan 24–2020.(Epub ahead of print). View Article : Google Scholar : PubMed/NCBI

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Copy and paste a formatted citation
Spandidos Publications style
Wang L and Li X: Identification of an energy metabolism‑related gene signature in ovarian cancer prognosis. Oncol Rep 43: 1755-1770, 2020.
APA
Wang, L., & Li, X. (2020). Identification of an energy metabolism‑related gene signature in ovarian cancer prognosis. Oncology Reports, 43, 1755-1770. https://doi.org/10.3892/or.2020.7548
MLA
Wang, L., Li, X."Identification of an energy metabolism‑related gene signature in ovarian cancer prognosis". Oncology Reports 43.6 (2020): 1755-1770.
Chicago
Wang, L., Li, X."Identification of an energy metabolism‑related gene signature in ovarian cancer prognosis". Oncology Reports 43, no. 6 (2020): 1755-1770. https://doi.org/10.3892/or.2020.7548
Copy and paste a formatted citation
x
Spandidos Publications style
Wang L and Li X: Identification of an energy metabolism‑related gene signature in ovarian cancer prognosis. Oncol Rep 43: 1755-1770, 2020.
APA
Wang, L., & Li, X. (2020). Identification of an energy metabolism‑related gene signature in ovarian cancer prognosis. Oncology Reports, 43, 1755-1770. https://doi.org/10.3892/or.2020.7548
MLA
Wang, L., Li, X."Identification of an energy metabolism‑related gene signature in ovarian cancer prognosis". Oncology Reports 43.6 (2020): 1755-1770.
Chicago
Wang, L., Li, X."Identification of an energy metabolism‑related gene signature in ovarian cancer prognosis". Oncology Reports 43, no. 6 (2020): 1755-1770. https://doi.org/10.3892/or.2020.7548
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