A multi-omics approach to understand the influence of polyphenols in ovarian cancer for precision nutrition: a mini-review

References

• Abdolmaleki, A., A. Asadi, K. Gurushankar, T. Karimi Shayan, and F. Abedi Sarvestani. 2020. Importance of nano medicine and new drug therapies for cancer. Advanced Pharmaceutical Bulletin 11 (3):450–7. doi: 10.34172/apb.2021.052.
   PubMed Web of Science ®Google Scholar
• Açar, Y., and G. Akbulut. 2023. Nutritional epigenetics and phytochemicals in cancer formation. Journal of the American Nutrition Association 42 (7):700–5. doi: 10.1080/27697061.2022.2147106.
   PubMedGoogle Scholar
• Ajjarapu, S. M., A. Tiwari, G. Taj, D. B. Singh, S. Singh, and S. Kumar. 2021. Simulation studies, 3D QSAR and molecular docking on a point mutation of protein kinase B with flavonoids targeting ovarian cancer. BMC Pharmacology & Toxicology 22 (1):68. doi: 10.1186/S40360-021-00512-Y/TABLES/8.
   PubMed Web of Science ®Google Scholar
• Alharbi, R. A. 2020. Proteomics approach and techniques in identification of reliable biomarkers for diseases. Saudi Journal of Biological Sciences 27 (3):968–74. doi: 10.1016/j.sjbs.2020.01.020.
   PubMed Web of Science ®Google Scholar
• AlHilli, M. M., and V. Bae-Jump. 2020. Diet and gut microbiome interactions in gynecologic cancer. Gynecologic Oncology 159 (2):299–308. doi: 10.1016/j.ygyno.2020.08.027.
   PubMed Web of Science ®Google Scholar
• Alizadeh, M., N. Sampaio Moura, A. Schledwitz, S. A. Patil, J. Ravel, and J. Pierre Raufman. 2023. Big data in gastroenterology research. International Journal of Molecular Sciences 24 (3):2458. doi: 10.3390/IJMS24032458.
   PubMed Web of Science ®Google Scholar
• Antónia Nunes, M., Francisca Rodrigues, A. F. Vinha, R. C. Alves, and M. B. P. Oliveira. 2018. Nutrigenomics and polyphenols. In Polyphenols: Properties, recovery, and applications. Vienna, Austria, Elsevier, 103–32. doi: 10.1016/B978-0-12-813572-3.00004-X.
   Google Scholar
• Aruoma, O. I., S. Hausman-Cohen, J. Pizano, M. A. Schmidt, D. M. Minich, Y. Joffe, S. Brandhorst, S. J. Evans, and D. M. Brady. 2019. Personalized nutrition: Translating the science of nutrigenomics into practice: Proceedings from the 2018 American College of Nutrition Meeting. Journal of the American College of Nutrition 38 (4):287–301. doi: 10.1080/07315724.2019.1582980.
   PubMed Web of Science ®Google Scholar
• Babu, M., and M. Snyder. 2023. Multi-omics profiling for health. Molecular & Cellular Proteomics: MCP 22 (6):100561. doi: 10.1016/j.mcpro.2023.100561.
   PubMed Web of Science ®Google Scholar
• Bakhtin, P., E. Khabirova, I. Kuzminov, and T. Thurner. 2020. The future of food production – A text-mining approach. Technology Analysis & Strategic Management 32 (5):516–28. doi: 10.1080/09537325.2019.1674802.
   Web of Science ®Google Scholar
• Balkir, P., K. Kemahlioglu, and U. Yucel. 2021. Foodomics: A new approach in food quality and safety. Trends in Food Science & Technology 108 (February):49–57. doi: 10.1016/j.tifs.2020.11.028.
   Google Scholar
• Baranova, I., H. Kovarikova, J. Laco, I. Sedlakova, F. Vrbacky, D. Kovarik, P. Hejna, V. Palicka, and M. Chmelarova. 2020. Identification of a four-gene methylation biomarker panel in high-grade serous ovarian carcinoma. Clinical Chemistry and Laboratory Medicine 58 (8):1332–40. doi: 10.1515/cclm-2019-1319.
   PubMed Web of Science ®Google Scholar
• Barboza, J. R., F. A. N. Pereira, C. C. Vasconcelos, M. N. de Sousa Ribeiro, and A. J. O. Lopes. 2023. Molecular mechanisms of action and chemosensitization of tumor cells in ovarian cancer by phytochemicals: A narrative review on pre-clinical and clinical studies. Phytotherapy Research: PTR 37 (6):2484–512. doi: 10.1002/PTR.7842.
   PubMed Web of Science ®Google Scholar
• Barnett, B. 2023. Precision nutrition for cancer treatment. Cancer Health. https://www.cancerhealth.com/article/precision-nutrition-cancer-treatment.
   Google Scholar
• Barreira, J. C., A. Alvarez Arraibi, and I. C. Ferreira. 2019. Bioactive and functional compounds in apple pomace from juice and cider manufacturing: potential use in dermal formulations. Trends in Food Science & Technology 90 (August):76–87. doi: 10.1016/j.tifs.2019.05.014.
   Google Scholar
• Belaud, J.-P., N. Prioux, C. Vialle, and C. Sablayrolles. 2019. Big data for agri-food 4.0: Application to sustainability management for by-products supply chain. Computers in Industry 111 (October):41–50. doi: 10.1016/j.compind.2019.06.006.
   Google Scholar
• Bewicke-Copley, F., E. Arjun Kumar, G. Palladino, K. Korfi, and J. Wang. 2019. Applications and analysis of targeted genomic sequencing in cancer studies. Computational and Structural Biotechnology Journal 17 (January):1348–59. doi: 10.1016/j.csbj.2019.10.004.
   PubMedGoogle Scholar
• Bhat, S. A., and N. F. Huang. 2021. Big data and AI revolution in precision agriculture: Survey and challenges. IEEE Access 9:110209–22. doi: 10.1109/ACCESS.2021.3102227.
   Web of Science ®Google Scholar
• Bisht, D., A. Arora, and M. Sachan. 2022. Role of DNA de-methylation intermediate “5-hydroxymethylcytosine” in ovarian cancer management: A comprehensive review. s.r.l. Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie 155 (November):113674. doi: 10.1016/j.biopha.2022.113674.
   PubMedGoogle Scholar
• Borsoi, F. T., I. A. Neri-Numa, W. Q. de Oliveira, F. F. de Araújo, and G. M. Pastore. 2023. Dietary polyphenols and their relationship to the modulation of non-communicable chronic diseases and epigenetic mechanisms: A mini-review. Food Chemistry: Molecular Sciences 6 (December 2022):100155. doi: 10.1016/j.fochms.2022.100155.
   PubMedGoogle Scholar
• Bracken, C. P., H. S. Scott, and G. J. Goodall. 2016. A network-biology perspective of microRNA function and dysfunction in cancer. Nature Reviews. Genetics 17 (12):719–32. doi: 10.1038/nrg.2016.134.
   PubMed Web of Science ®Google Scholar
• Braconi, D., V. Cicaloni, O. Spiga, and A. Santucci. 2021. Personalized nutrition and omics technologies: Current status and perspectives. Food Technology Disruptions 1, 37–71. doi: 10.1016/B978-0-12-821470-1.00007-0.
   Google Scholar
• Bradbury, M., E. Borràs, J. Castellví, O. Méndez, J. Luis Sánchez-Iglesias, A. Pérez-Benavente, A. Gil-Moreno, E. Sabidó, and A. Santamaria. 2022. BRCA1 mutations in high-grade serous ovarian cancer are associated with proteomic changes in DNA repair, splicing, transcription regulation and signaling. Scientific Reports 12 (1):4445. doi: 10.1038/s41598-022-08461-0.
   PubMed Web of Science ®Google Scholar
• Braicu, C., N. Mehterov, B. Vladimirov, V. Sarafian, S. M. Nabavi, A. G. Atanasov, and I. Berindan-Neagoe. 2017. Nutrigenomics in cancer: Revisiting the effects of natural compounds. Seminars in Cancer Biology 46 (February):84–106. doi: 10.1016/j.semcancer.2017.06.011.
   PubMedGoogle Scholar
• Cardona, F., C. Andrés-Lacueva, S. Tulipani, F. J. Tinahones, and M. I. Queipo-Ortuño. 2013. Benefits of polyphenols on gut microbiota and implications in human health. The Journal of Nutritional Biochemistry 24 (8):1415–22. doi: 10.1016/J.JNUTBIO.2013.05.001.
   PubMed Web of Science ®Google Scholar
• Casado-Pelaez, M., A. Bueno-Costa, and M. Esteller. 2022. Single cell cancer epigenetics. Trends in Cancer 8 (10):820–38. doi: 10.1016/j.trecan.2022.06.005.
   PubMed Web of Science ®Google Scholar
• Casamassimi, A., A. Federico, M. Rienzo, S. Esposito, and A. Ciccodicola. 2017. Transcriptome profiling in human diseases: New advances and perspectives. International Journal of Molecular Sciences 18 (8):1652. doi: 10.3390/ijms18081652.
   PubMed Web of Science ®Google Scholar
• Cassidy, A., T. Huang, M. S. Rice, E. B. Rimm, and S. S. Tworoger. 2014. Intake of dietary flavonoids and risk of epithelial ovarian cancer. The American Journal of Clinical Nutrition 100 (5):1344–51. doi: 10.3945/AJCN.114.088708.
   PubMed Web of Science ®Google Scholar
• Chan, K. K., M. K. Siu, Y. X Jiang, J. J Wang, T. H. Leung, and H. Y. Ngan. 2018. Estrogen receptor modulators genistein, daidzein and ERB-041 inhibit cell migration, invasion, proliferation and sphere formation via modulation of FAK and PI3K/AKT signaling in ovarian cancer. Cancer Cell International 18 (1):65. doi: 10.1186/S12935-018-0559-2/FIGURES/9.
   PubMedGoogle Scholar
• Chandra, A., C. Pius, M. Nabeel, M. Nair, J. K. Vishwanatha, S. Ahmad, and R. Basha. 2019. Ovarian cancer: Current status and strategies for improving therapeutic outcomes. Cancer Medicine 8 (16):7018–31. doi: 10.1002/CAM4.2560.
   PubMed Web of Science ®Google Scholar
• Chang, X., S. Tamauchi, K. Yoshida, M. Yoshihara, A. Yokoi, Y. Shimizu, Y. Ikeda, N. Yoshikawa, T. Kiyono, Y. Yamamoto, et al. 2023. Downregulating vaccinia-related kinase 1 by luteolin suppresses ovarian cancer cell proliferation by activating the P53 signaling pathway. Gynecologic Oncology 173 (December):31–40. doi: 10.1016/j.ygyno.2023.04.003.
   PubMedGoogle Scholar
• Chaudhary, N., V. Kumar, P. Sangwan, N. Chandra Pant, A. Saxena, S. Joshi, and A. N. Yadav. 2021. Personalized nutrition and-omics. In Comprehensive Foodomics, 495–507. Elsevier. doi: 10.1016/B978-0-08-100596-5.22880-1.
   Google Scholar
• Cheasley, D., A. Nigam, M. Zethoven, S. Hunter, D. Etemadmoghadam, T. Semple, P. Allan, M. S. Carey, M. L. Fernandez, A. Dawson, et al. 2021. Genomic analysis of low-grade serous ovarian carcinoma to identify key drivers and therapeutic vulnerabilities. The Journal of Pathology 253 (1):41–54. doi: 10.1002/path.5545.
   PubMed Web of Science ®Google Scholar
• Chen, H., Tao, C. Xu, Y. W. Wang Yao, R. Zhe Zhang, L. Xu, and Q. H. Yao. 2018. From human genome and gut microbiome to personalized cancer nutrition. Journal of Nutritonal Oncology 3 (2):70–5. doi: 10.34175/jno201802004.
   Google Scholar
• Cheung, P. K., M. H. Ma, H. F. Tse, K. F. Yeung, H. F. Tsang, M. K. M. Chu, C. M. Kan, W. C. S. Cho, L. B. W. Ng, L. W. C. Chan, et al. 2019. The applications of metabolomics in the molecular diagnostics of cancer. Expert Review of Molecular Diagnostics 19 (9):785–93. Taylor & Francis: doi: 10.1080/14737159.2019.1656530.
   PubMed Web of Science ®Google Scholar
• Cipolletti, M., V. Solar Fernandez, E. Montalesi, M. Marino, and M. Fiocchetti. 2018. Beyond the antioxidant activity of dietary polyphenols in cancer: The modulation of estrogen receptors (Ers) signaling. International Journal of Molecular Sciences 19 (9):2624. doi: 10.3390/ijms19092624.
   PubMed Web of Science ®Google Scholar
• Constantiou, I. D., and J. Kallinikos. 2015. New games, new rules: Big data and the changing context of strategy. Journal of Information Technology (1):44–57. doi: 10.1057/jit.2014.17.
   Web of Science ®Google Scholar
• Dall’Asta, M., M. Barbato, G. Rocchetti, F. Rossi, L. Lucini, P. A. Marsan, and L. Colli. 2022. Nutrigenomics: An underestimated contribution to the functional role of polyphenols. Current Opinion in Food Science 47 (October):100880. doi: 10.1016/j.cofs.2022.100880.
   Google Scholar
• de Araújo, F. F., D. de Paulo Farias, I. A. Neri-Numa, and G. M. Pastore. 2021. Polyphenols and their applications: An approach in food chemistry and innovation potential. Food Chemistry 338 (February):127535. doi: 10.1016/J.FOODCHEM.2020.127535.
   PubMedGoogle Scholar
• Dhingra, A., D. Sharma, A. Kumar, S. Singh, and P. Kumar. 2022. Microbiome and development of ovarian cancer. Endocrine, Metabolic & Immune Disorders Drug Targets 22 (11):1073–90. doi: 10.2174/1871530322666220509034847.
   PubMed Web of Science ®Google Scholar
• Dikarlo, P., I. Dorst, O. Moskalenko, and M. Yateem. 2022. Precision nutrition from the view of the gut microbiome. Advances in Precision Nutrition, Personalization and Healthy Aging. Springer, Cham, 67–96. doi: 10.1007/978-3-031-10153-3_4.
   Google Scholar
• Dj Nevena, I., B. Hippe, S. Lilja, and A. G. Haslberger. 2022. Precise Nutrition and Functional Foods. Advances in Precision Nutrition, Personalization and Healthy Aging. Springer, Cham, 231–67. doi: 10.1007/978-3-031-10153-3_10.
   Google Scholar
• Du, Z.-H., F.-F. Bi, L. Wang, and Q. Yang. 2018. Next-generation sequencing unravels extensive genetic alteration in recurrent ovarian cancer and unique genetic changes in drug-resistant recurrent ovarian cancer. Molecular Genetics & Genomic Medicine 6 (4):638–47. doi: 10.1002/mgg3.414.
   PubMed Web of Science ®Google Scholar
• El-kott, A. F., Ali, A. Shati, M. Ali, A. Kahtani, and S. A. Alharbi. 2019. The apoptotic effect of resveratrol in ovarian cancer cells is associated with downregulation of galectin-3 and stimulating MiR-424-3p transcription. Journal of Food Biochemistry 43 (12):e13072. doi: 10.1111/jfbc.13072.
   PubMed Web of Science ®Google Scholar
• Elsharkawi, S. M., D. Elkaffash, P. Moez, N. El-Etreby, E. Sheta, and R. S. Z. Taleb. 2023. PCDH17 gene promoter methylation status in a cohort of egyptian women with epithelial ovarian cancer. BMC Cancer 23 (1):89. doi: 10.1186/s12885-023-10549-3.
   PubMed Web of Science ®Google Scholar
• Erben, V., G. Poschet, P. Schrotz-King, and H. Brenner. 2021. Comparing metabolomics profiles in various types of liquid biopsies among screening participants with and without advanced colorectal neoplasms. Diagnostics (Basel, Switzerland) 11 (3):561. doi: 10.3390/diagnostics11030561.
   PubMedGoogle Scholar
• Esposito, A., A. Ferraresi, A. Salwa, C. Vidoni, D. N. Dhanasekaran, and C. Isidoro. 2022. Resveratrol contrasts IL-6 Pro-growth effects and promotes autophagy-mediated cancer cell dormancy in 3D ovarian cancer: Role of MiR-1305 and of its target ARH-I. Cancers 14 (9):2142. doi: 10.3390/cancers14092142.
   PubMed Web of Science ®Google Scholar
• Fang, F., H. Cardenas, H. Huang, G. Jiang, S. M. Perkins, C. Zhang, H. N. Keer, Y. Liu, K. P. Nephew, and D. Matei. 2018. Genomic and epigenomic signatures in ovarian cancer associated with resensitization to platinum drugs. Cancer Research 78 (3):631–44. doi: 10.1158/0008-5472.CAN-17-1492.
   PubMed Web of Science ®Google Scholar
• Farhan, M. 2023. Insights on the role of polyphenols in combating cancer drug resistance. Biomedicines 11 (6):1709. doi: 10.3390/biomedicines11061709.
   PubMed Web of Science ®Google Scholar
• Felicio, P. S., R. S. Grasel, N. Campacci, A. E. de Paula, H. C. R. Galvão, G. T. Torrezan, C. S. Sabato, G. C. Fernandes, C. P. Souza, R. D. Michelli, et al. 2021. Whole-exome sequencing of non- BRCA1/BRCA2 mutation carrier cases at high-risk for hereditary breast/ovarian cancer. Human Mutation 42 (3):290–9. doi: 10.1002/humu.24158.
   PubMed Web of Science ®Google Scholar
• Ferguson, J. F., H. Allayee, R. E. Gerszten, F. Ideraabdullah, P. M. Kris-Etherton, J. M. Ordovás, E. B. Rimm, T. J. Wang, and B. J. Bennett. 2016. Nutrigenomics, the microbiome, and gene-environment interactions: New directions in cardiovascular disease research, prevention, and treatment. Circulation. Cardiovascular Genetics 9 (3)Lippincott Williams & Wilkins Hagerstown, MD::291–313. doi: 10.1161/HCG.0000000000000030.
   PubMedGoogle Scholar
• Fernandez-Jimenez, N., C. Allard, L. Bouchard, P. Perron, M. Bustamante, J. R. Bilbao, and M.-F. Hivert. 2019. Comparison of illumina 450K and EPIC arrays in placental DNA methylation. Epigenetics 14 (12):1177–82. doi: 10.1080/15592294.2019.1634975.
   PubMed Web of Science ®Google Scholar
• Francenia Santos-Sánchez, N., R. Salas-Coronado, C. Villanueva-Cañongo, and B. Hernández-Carlos. 2019. Antioxidant compounds and their antioxidant mechanism. In Antioxidants. London, UK: IntechOpen. doi: 10.5772/intechopen.85270.
   Google Scholar
• Frolinger, T., S. Sims, C. Smith, J. Wang, H. Cheng, J. Faith, L. Ho, K. Hao, and G. M. Pasinetti. 2019. The gut microbiota composition affects dietary polyphenols-mediated cognitive resilience in mice by modulating the bioavailability of phenolic acids. Scientific Reports 9 (1):3546. doi: 10.1038/s41598-019-39994-6.
   PubMedGoogle Scholar
• Gandomi, A., and M. Haider. 2015. Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management 35 (2):137–44. doi: 10.1016/j.ijinfomgt.2014.10.007.
   Web of Science ®Google Scholar
• Gaona-Luviano, P., L. A. Medina-Gaona, and K. Magaña-Pérez. 2020. Epidemiology of Ovarian cancer. Chinese Clinical Oncology 9 (4):47– doi: 10.21037/cco-20-34.
   PubMed Web of Science ®Google Scholar
• Gates, M. A., S. S. Tworoger, J. L. Hecht, I. De Vivo, B. Rosner, and S. E. Hankinson. 2007. A prospective study of dietary flavonoid intake and incidence of epithelial ovarian cancer. International Journal of Cancer 121 (10):2225–32. doi: 10.1002/IJC.22790.
   PubMed Web of Science ®Google Scholar
• Ghini, V., F. Magherini, L. Massai, L. Messori, and P. Turano. 2022. Comparative NMR metabolomics of the responses of A2780 human ovarian cancer cells to clinically established Pt-based drugs. Dalton Transactions (Cambridge, England: 2003) 51 (33):12512–23. doi: 10.1039/D2DT02068H.
   PubMed Web of Science ®Google Scholar
• Ghose, A., S. V. N. Gullapalli, N. Chohan, A. Bolina, M. Moschetta, E. Rassy, and S. Boussios. 2022. Applications of proteomics in ovarian cancer: Dawn of a new era. Proteomes 10 (2):16. doi: 10.3390/proteomes10020016.
   PubMed Web of Science ®Google Scholar
• GLOBOCAN. 2020. World Health Organization. Global Cancer Observatory.
   Google Scholar
• Govindarajan, M., C. Wohlmuth, M. Waas, M. Q. Bernardini, and T. Kislinger. 2020. High-throughput approaches for precision medicine in high-grade serous ovarian cancer. Journal of Hematology & Oncology 13 (1):134. doi: 10.1186/s13045-020-00971-6.
   PubMed Web of Science ®Google Scholar
• Grossman, R. L., A. P. Heath, V. Ferretti, H. E. Varmus, D. R. Lowy, W. A. Kibbe, and L. M. Staudt. 2016. Toward a shared vision for cancer genomic data. The New England Journal of Medicine 375 (12):1109–12. doi: 10.1056/NEJMp1607591.
   PubMed Web of Science ®Google Scholar
• Gull, N., M. R. Jones, P.-C. Peng, S. G. Coetzee, T. C. Silva, J. T. Plummer, A. L. P. Reyes, B. D. Davis, S. S. Chen, K. Lawrenson, et al. 2022. DNA methylation and transcriptomic features are preserved throughout disease recurrence and chemoresistance in high grade serous ovarian cancers. Journal of Experimental & Clinical Cancer Research: CR 41 (1):232. doi: 10.1186/s13046-022-02440-z.
   PubMed Web of Science ®Google Scholar
• Hao, N., K. E. Shearwin, and I. B. Dodd. 2017. Programmable DNA looping using engineered bivalent DCas9 complexes. Nature Communications 8 (1):1628. doi: 10.1038/s41467-017-01873-x.
   PubMedGoogle Scholar
• Hasanzad, M., N. Sarhangi, S. Ehsani Chimeh, N. Ayati, M. Afzali, F. Khatami, S. Nikfar, and H. R. Aghaei Meybodi. 2022. Precision medicine journey through omics approach. Journal of Diabetes and Metabolic Disorders 21 (1):881–8. doi: 10.1007/S40200-021-00913-0/METRICS.
   PubMed Web of Science ®Google Scholar
• Hassan, F-u., M. Saif-Ur Rehman, M. S. Khan, M. A. Ali, A. Javed, A. Nawaz, and C. Yang. 2019. Curcumin as an alternative epigenetic modulator: mechanism of action and potential effects. Frontiers in Genetics 10 (June):514. doi: 10.3389/fgene.2019.00514.
   PubMedGoogle Scholar
• Hawkins, G. M., W. C. Burkett, A. N. McCoy, H. B. Nichols, A. F. Olshan, R. Broaddus, J. D. Merker, B. Weissman, W. R. Brewster, J. Roach, et al. 2022. Differences in the Microbial Profiles of Early Stage Endometrial Cancers between Black and White Women. Gynecologic Oncology 165 (2):248–56. doi: 10.1016/j.ygyno.2022.02.021.
   PubMed Web of Science ®Google Scholar
• He, Z., S. Wu, J. Lin, A. Booth, G. O. Rankin, I. Martinez, and Y. C. Chen. 2020. Polyphenols extracted from Chinese Hickory (Carya cathayensis) promote apoptosis and inhibit proliferation through the P53-dependent intrinsic and HIF-1α-VEGF pathways in ovarian cancer cells. Applied Sciences 10 (23):8615. doi: 10.3390/app10238615.
   Google Scholar
• Heber, D. 2024. Precision nutrition and cancer. In Precision nutrition, 277–98. Los Angeles, USA: Elsevier. doi: 10.1016/B978-0-443-15315-0.00006-7.
   Google Scholar
• Hinojosa-Nogueira, D., B. Ortiz-Viso, B. Navajas-Porras, S. Pérez-Burillo, V. González-Vigil, S. P. de la Cueva, and J. Á. Rufián-Henares. 2023. Stance4Health nutritional APP: A path to personalized smart nutrition. Nutrients 15 (2):276. doi: 10.3390/nu15020276.
   PubMed Web of Science ®Google Scholar
• Hishinuma, E., M. Shimada, N. Matsukawa, D. Saigusa, B. Li, K. Kudo, K. Tsuji, S. Shigeta, H. Tokunaga, K. Kumada, et al. 2021. Wide-targeted metabolome analysis identifies potential biomarkers for prognosis prediction of epithelial ovarian cancer. Toxins 13 (7):461. doi: 10.3390/toxins13070461.
   PubMed Web of Science ®Google Scholar
• Hu, X., X. Xu, X. Zeng, R. Jin, S. Wang, H. Jiang, Y. Tang, G. Chen, J. Wei, T. Chen, et al. 2023. Gut microbiota dysbiosis promotes the development of epithelial ovarian cancer via regulating hedgehog signaling pathway. Gut Microbes 15 (1):2221093. doi: 10.1080/19490976.2023.2221093.
   PubMed Web of Science ®Google Scholar
• Hua, T., S. Kang, X.-F. Li, Y.-J. Tian, and Y. Li. 2021. DNA methylome profiling identifies novel methylated genes in epithelial ovarian cancer patients with platinum resistance. The Journal of Obstetrics and Gynaecology Research 47 (3):1031–9. doi: 10.1111/jog.14634.
   PubMed Web of Science ®Google Scholar
• Hua, X., L. Yu, R. You, Y. Yang, J. Liao, D. Chen, and L. Yu. 2016. Association among dietary flavonoids, flavonoid subclasses and ovarian cancer risk: A meta-analysis. Plos ONE 11 (3):e0151134. doi: 10.1371/journal.pone.0151134.
   PubMed Web of Science ®Google Scholar
• Huo, X., H. Sun, Q. Qian, X. Ma, P. Peng, M. Yu, Y. Zhang, J. Yang, D. Cao, T. Gui, et al. 2020. CYP27B1 downregulation: A new molecular mechanism regulating EZH2 in ovarian cancer tumorigenicity. Frontiers in Cell and Developmental Biology 8 (October):561804. doi: 10.3389/FCELL.2020.561804/BIBTEX.
   PubMedGoogle Scholar
• Imran, M., A. Insaf, N. Hasan, V. V. Sugandhi, D. Shrestha, K. R. Paudel, S. K. Jha, P. M. Hansbro, K. Dua, H. P. Devkota, et al. 2023. Exploring the remarkable chemotherapeutic potential of polyphenolic antioxidants in battling various forms of cancer. Molecules (Basel, Switzerland) 28 (8):3475. doi: 10.3390/molecules28083475.
   PubMed Web of Science ®Google Scholar
• Jabeen, A., G. Malik, J. I. Mir, and R. Rasool. 2023. Nutrigenomics: Linking food to genome. Italian Journal of Food Science 35 (1):26–40. doi: 10.15586/ijfs.v35i1.2262.
   Web of Science ®Google Scholar
• Jerković, I., Q. Szabo, F. Bantignies, and G. Cavalli. 2020. Higher-order chromosomal structures mediate genome function. Journal of Molecular Biology 432 (3):676–81. doi: 10.1016/j.jmb.2019.10.014.
   PubMed Web of Science ®Google Scholar
• Jung, N., and T.-K. Kim. 2021. Advances in higher-order chromatin architecture: The move towards 4D genome. BMB Reports 54 (5):233–45. doi: 10.5483/BMBRep.2021.54.5.035.
   PubMed Web of Science ®Google Scholar
• Jung, Y. Y., H. Y. Woo, and H.-S. Kim. 2019. Targeted genomic sequencing reveals novel TP53 In-frame deletion mutations leading to P53 overexpression in high-grade serous tubo-ovarian carcinoma. Anticancer Research 39 (6):2883–9. doi: 10.21873/anticanres.13417.
   PubMed Web of Science ®Google Scholar
• Karczewski, K. J., and M. P. Snyder. 2018. Integrative omics for health and disease. Nature Reviews. Genetics 19 (5):299–310. doi: 10.1038/nrg.2018.4.
   PubMed Web of Science ®Google Scholar
• Kelly, R., D. Aviles, C. Krisulevicz, K. Hunter, L. Krill, D. Warshal, and O. Ostrovsky. 2023. The effects of natural epigenetic therapies in 3D ovarian cancer and patient-derived tumor explants: New avenues in regulating the cancer secretome. Biomolecules 13 (7):1066. doi: 10.3390/biom13071066.
   PubMed Web of Science ®Google Scholar
• Khan, M. A., A. Hussain, M. K. Sundaram, U. Alalami, D. Gunasekera, L. Ramesh, A. Hamza, and U. Quraishi. 2015. (−)-Epigallocatechin-3-Gallate Reverses the Expression of Various Tumor-Suppressor Genes by Inhibiting DNA Methyltransferases and Histone Deacetylases in Human Cervical Cancer Cells. Oncology Reports 33 (4):1976–84. doi: 10.3892/or.2015.3802.
   PubMed Web of Science ®Google Scholar
• Khella, C. A., G. A. Mehta, R. N. Mehta, and M. L. Gatza. 2021. Recent advances in integrative multi-omics research in breast and ovarian cancer. Journal of Personalized Medicine 11 (2):149. doi: 10.3390/JPM11020149.
   PubMed Web of Science ®Google Scholar
• Kim, Y.-S., K.-C. Choi, and K.-A. Hwang. 2015. Genistein suppressed epithelial–mesenchymal transition and migration efficacies of BG-1 ovarian cancer cells activated by estrogenic chemicals via estrogen receptor pathway and downregulation of TGF-β signaling pathway. Phytomedicine: International Journal of Phytotherapy and Phytopharmacology 22 (11):993–9. doi: 10.1016/J.PHYMED.2015.08.003.
   PubMed Web of Science ®Google Scholar
• Kuzminov, I., P. Bakhtin, E. Khabirova, M. Kotsemir, and A. Lavrynenko. 2018. Mapping the radical innovations in food industry: A text mining study. SSRN Electronic Journal 1 (1):1–28. doi: 10.2139/ssrn.3143721.
   Google Scholar
• Li, N., X. Zhu, W. Nian, Y. Li, Y. Sun, G. Yuan, Z. Zhang, W. Yang, J. Xu, A. Lizaso, et al. 2022. Blood-based DNA methylation profiling for the detection of ovarian cancer. Gynecologic Oncology 167 (2):295–305. doi: 10.1016/j.ygyno.2022.07.008.
   PubMed Web of Science ®Google Scholar
• Li, Y., Y. Hu, L. Yang, J. Liu, C. Cui, M. Yang, D. Zou, L. Zhou, Q. Zhou, W. Ge, et al. 2023. Luteolin directly binds to KDM4C and attenuates ovarian cancer stemness via epigenetic suppression of PPP2CA/YAP Axis. Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie 160 (January):114350. doi: 10.1016/j.biopha.2023.114350.
   PubMedGoogle Scholar
• Lin, J.-N., V. Chia-Hsiang Lin, K.-M. Rau, P.-C. Shieh, D.-H. Kuo, J.-C. Shieh, W.-J. Chen, S.-C. Tsai, and T.-D. Way. 2010. Resveratrol modulates tumor cell proliferation and protein translation via SIRT1-dependent AMPK activation. Journal of Agricultural and Food Chemistry 58 (3):1584–92. doi: 10.1021/jf9035782.
   PubMed Web of Science ®Google Scholar
• Liu, S., and K. Zhao. 2021. The toolbox for untangling chromosome architecture in immune cells. Frontiers in Immunology 12 (April):670884. doi: 10.3389/fimmu.2021.670884.
   PubMedGoogle Scholar
• Low, C. A. 2020. Harnessing consumer smartphone and wearable sensors for clinical cancer research. NPJ Digital Medicine 3 (1):140. doi: 10.1038/s41746-020-00351-x.
   PubMed Web of Science ®Google Scholar
• Lukanović, D., B. Kobal, and K. Černe. 2022. Ovarian cancer: Treatment and resistance to pharmacotherapy. Reproductive Medicine 3 (2):127–40. doi: 10.3390/reprodmed3020011.
   Google Scholar
• Lutfi, A., M. Alrawad, A. Alsyouf, M. A. Almaiah, Al Ahmad, A. Khasawneh, Al Lutfi, A. F. Khasawneh, M. H. Alshira’h, M. Alshirah, et al. 2023. Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling. Journal of Retailing and Consumer Services 70 (January):103129. doi: 10.1016/j.jretconser.2022.103129.
   Google Scholar
• Malcomson, F. C., and J. C. Mathers. 2023. Translation of nutrigenomic research for personalised and precision nutrition for cancer prevention and for cancer survivors. Redox Biology 62 (June):102710. doi: 10.1016/j.redox.2023.102710.
   PubMedGoogle Scholar
• Manzoni, C., D. A. Kia, J. Vandrovcova, J. Hardy, N. W. Wood, P. A. Lewis, and R. Ferrari. 2018. Genome, transcriptome and proteome: The rise of omics data and their integration in biomedical sciences. Briefings in Bioinformatics 19 (2):286–302. doi: 10.1093/bib/bbw114.
   PubMed Web of Science ®Google Scholar
• Mardis, E. R. 2019. The impact of next-generation sequencing on cancer genomics: from discovery to clinic. Cold Spring Harbor Perspectives in Medicine 9 (9):1–14. doi: 10.1101/cshperspect.a036269.
   Web of Science ®Google Scholar
• Martínez-Garay, C., and N. Djouder. 2023. Dietary interventions and precision nutrition in cancer therapy. Trends in Molecular Medicine 29 (7):489–511. doi: 10.1016/j.molmed.2023.04.004.
   PubMed Web of Science ®Google Scholar
• Maurer, T., M. H. Belau, J. von Grundherr, Z. Schlemmer, S. Patra, H. Becher, K.-H. Schulz, B.-C. Zyriax, B. Schmalfeldt, and J. Chang-Claude. 2022. Randomised controlled trial testing the feasibility of an exercise and nutrition intervention for patients with ovarian cancer during and after first-line chemotherapy (BENITA-Study). BMJ Open 12 (2):e054091. doi: 10.1136/bmjopen-2021-054091.
   PubMed Web of Science ®Google Scholar
• Menyhárt, O., and B. Győrffy. 2021. Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis. Computational and Structural Biotechnology Journal 19 (January):949–60. doi: 10.1016/J.CSBJ.2021.01.009.
   PubMedGoogle Scholar
• Moore, J. B. 2019. From personalised nutrition to precision medicine: The rise of consumer genomics and digital health. The Proceedings of the Nutrition Society 79 (3):300–10. doi: 10.1017/S0029665120006977.
   Web of Science ®Google Scholar
• Morgan, S. L., N. C. Mariano, A. Bermudez, N. L. Arruda, F. Wu, Y. Luo, G. Shankar, L. Jia, H. Chen, J.-F. Hu, et al. 2017. Manipulation of nuclear architecture through CRISPR-mediated chromosomal looping. Nature Communications 8 (1):15993. doi: 10.1038/ncomms15993.
   PubMedGoogle Scholar
• Mu, J., Y. Wu, C. Jiang, L. Cai, D. Li, and J. Cao. 2022. Progress in applicability of scoring systems based on nutritional and inflammatory parameters for ovarian cancer. Frontiers in Nutrition 9 (April):809091. doi: 10.3389/fnut.2022.809091.
   PubMedGoogle Scholar
• Musker, R. 2019. Big data in agriculture and nutrition. In Agriculture for improved nutrition: Seizing the momentum, 142–53. UK: CAB International. doi: 10.1079/9781786399311.0142.
   Google Scholar
• Nagasawa, S., K. Ikeda, K. Horie-Inoue, S. Sato, A. Itakura, S. Takeda, K. Hasegawa, and S. Inoue. 2019. Systematic identification of characteristic genes of ovarian clear cell carcinoma compared with high-grade serous carcinoma based on RNA-sequencing. International Journal of Molecular Sciences 20 (18):4330. doi: 10.3390/ijms20184330.
   PubMed Web of Science ®Google Scholar
• Natanzon, Y., E. L. Goode, and J. M. Cunningham. 2018. Epigenetics in ovarian cancer. Seminars in Cancer Biology 51 (August):160–9. doi: 10.1016/J.SEMCANCER.2017.08.003.
   PubMedGoogle Scholar
• Nené, N. R., D. Reisel, A. Leimbach, D. Franchi, A. Jones, I. Evans, S. Knapp, A. Ryan, S. Ghazali, J. F. Timms, et al. 2019. Association between the cervicovaginal microbiome, BRCA1 mutation status, and risk of ovarian cancer: A case-control study. The Lancet. Oncology 20 (8):1171–82. doi: 10.1016/S1470-2045(19)30340-7.
   PubMed Web of Science ®Google Scholar
• Neri-Numa, I. A., C. B. B. Cazarin, A. L. T. G. Ruiz, B. N. Paulino, G. Molina, and G. M. Pastore. 2020. Targeting flavonoids on modulation of metabolic syndrome. Journal of Functional Foods 73 (October):104132. doi: 10.1016/j.jff.2020.104132.
   Google Scholar
• Neri Numa, I. A., and G. M. Pastore. 2020. Novel insights into prebiotic properties on human health: A review. Food Research International (Ottawa, Ont.) 131 (May):108973. doi: 10.1016/j.foodres.2019.108973.
   PubMedGoogle Scholar
• Norheim, F., I. M. F. Gjelstad, M. Hjorth, K. J. Vinknes, T. M. Langleite, T. Holen, J. Jensen, K. T. Dalen, A. S. Karlsen, A. Kielland, et al. 2012. Molecular nutrition research-the modern way of performing nutritional science. Nutrients 4 (12):1898–944. doi: 10.3390/nu4121898.
   PubMed Web of Science ®Google Scholar
• Panji, M., V. Behmard, Z. Zare, M. Malekpour, H. Nejadbiglari, S. Yavari, T. Nayerpour Dizaj, A. Safaeian, A. Bakhshi, O. Abazari, et al. 2021. Synergistic effects of green tea extract and paclitaxel in the induction of mitochondrial apoptosis in ovarian cancer cell lines. Gene 787 (October):145638. doi: 10.1016/j.gene.2021.145638.
   PubMedGoogle Scholar
• Parish, M., G. Massoud, D. Hazimeh, J. Segars, and M. S. Islam. 2023. Green tea in reproductive cancers: could treatment be as simple? Cancers 15 (3):862. doi: 10.3390/cancers15030862.
   PubMed Web of Science ®Google Scholar
• Parker, L. P., D. D. Taylor, J. Kesterson, D. S. Metzinger, and C. Gercel-Taylor. 2009. Modulation of MicroRNA associated with ovarian cancer cells by genistein. Eur. J. Gynaec. Oncol 30 (6):616–21.
   PubMed Web of Science ®Google Scholar
• Patil, P., and S. Killedar. 2021. Formulation and characterization of gallic acid and quercetin chitosan nanoparticles for sustained release in treating colorectal cancer. Journal of Drug Delivery Science and Technology 63 (June):102523. doi: 10.1016/j.jddst.2021.102523.
   Google Scholar
• Peng, P., W. Zhang, D. Cao, J. Yang, and K. Shen. 2019. The proteomic comparison of peripheral circulation-derived exosomes from the epithelial ovarian carcinoma (EOC) patients and non-EOC subjects. Translational Cancer Research 8 (2):452–65. doi: 10.21037/tcr.2019.03.06.
   PubMed Web of Science ®Google Scholar
• Pierson, W. E., P. N. Peters, M. T. Chang, L-m Chen, D. A. Quigley, A. Ashworth, and J. S. Chapman. 2020. An integrated molecular profile of endometrioid ovarian cancer. Gynecologic Oncology 157 (1):55–61. doi: 10.1016/j.ygyno.2020.02.011.
   PubMed Web of Science ®Google Scholar
• Plewa, S., A. Horała, P. Dereziński, E. Nowak-Markwitz, J. Matysiak, and Z. J. Kokot. 2019. Wide spectrum targeted metabolomics identifies potential ovarian cancer biomarkers. Life Sciences 222 (April):235–44. doi: 10.1016/j.lfs.2019.03.004.
   PubMedGoogle Scholar
• Pointner, A., and A. G. Haslberger. 2022. Personalized nutrition for healthy aging, a review. In Advances in Precision Nutrition, Personalization and Healthy Aging. Springer, Cham, 97–143. doi: 10.1007/978-3-031-10153-3_5.
   Google Scholar
• Qin, J., M. Fu, J. Wang, F. Huang, H. Liu, M. Huangfu, D. Yu, H. Liu, X. Li, X. Guan, et al. 2020. PTEN/AKT/MTOR signaling mediates anticancer effects of epigallocatechin-3-gallate in ovarian cancer. Oncology Reports 43 (6):1885–96. doi: 10.3892/or.2020.7571.
   PubMed Web of Science ®Google Scholar
• López, R., O. O. Martinez Alfredo, O. Ramos-Lopez, J. A. Martinez, and F. I. Milagro. 2022. Holistic integration of omics tools for precision nutrition in health and disease. Nutrients 14 (19):4074. doi: 10.3390/nu14194074.
   PubMed Web of Science ®Google Scholar
• Reid, B. M., and B. L. Fridley. 2020. DNA methylation in ovarian cancer susceptibility. Cancers 13 (1):108. doi: 10.3390/CANCERS13010108.
   PubMed Web of Science ®Google Scholar
• Rowland, I., G. Gibson, A. Heinken, K. Scott, J. Swann, I. Thiele, and K. Tuohy. 2018. Gut microbiota functions: metabolism of nutrients and other food components. European Journal of Nutrition 57 (1):1–24. doi: 10.1007/s00394-017-1445-8.
   PubMed Web of Science ®Google Scholar
• Rust, P., and A. G. Haslberger. 2022. Trends in personalised precision nutrition, objectives. In Advances in precision nutrition, personalization and healthy aging, 1–24. Cham: Springer International Publishing. doi: 10.1007/978-3-031-10153-3_1.
   Google Scholar
• Sarubbo, F., D. Moranta, S. Tejada, M. Jiménez, and S. Esteban. 2023. Impact of gut microbiota in brain ageing: polyphenols as beneficial modulators. Antioxidants (Basel, Switzerland) 12 (4):812. doi: 10.3390/antiox12040812.
   PubMedGoogle Scholar
• Sassi, I., S. Ouaftouh, and S. Antr. 2019. Adaptation of classical machine learning algorithms to big data context: Problems and challenges : Case study: Hidden Markov models under spark. In 2019 1st International Conference on Smart Systems and Data Science (ICSSD), 1–7. IEEE. doi: 10.1109/ICSSD47982.2019.9002857.
   Google Scholar
• Schmidt, D. R., R. Patel, D. G. Kirsch, C. A. Lewis, M. G. Vander Heiden, and J. W. Locasale. 2021. Metabolomics in cancer research and emerging applications in clinical oncology. CA: A Cancer Journal for Clinicians 71 (4):333–58. doi: 10.3322/caac.21670.
   PubMed Web of Science ®Google Scholar
• Shafabakhsh, R., and Z. Asemi. 2019. Quercetin: A natural compound for ovarian cancer treatment. Journal of Ovarian Research 12 (1):55. doi: 10.1186/s13048-019-0530-4.
   PubMedGoogle Scholar
• Sharma, R., and Y. Padwad. 2020. Perspectives of the potential implications of polyphenols in influencing the interrelationship between oxi-inflammatory stress, cellular senescence and immunosenescence during aging. Trends in Food Science & Technology 98 (April):41–52. doi: 10.1016/j.tifs.2020.02.004.
   Google Scholar
• Shih, A. J., A. Menzin, J. Whyte, J. Lovecchio, A. Liew, H. Khalili, T. Bhuiya, P. K. Gregersen, and A. T. Lee. 2018. Identification of grade and origin specific cell populations in serous epithelial ovarian cancer by single cell RNA-seq. edited by sandra orsulic. PloS One 13 (11):e0206785. doi: 10.1371/journal.pone.0206785.
   PubMed Web of Science ®Google Scholar
• Si, W., Y. Zhang, X. Li, Y. Du, and Q. Xu. 2021. Understanding the functional activity of polyphenols using omics-based approaches. Nutrients 13 (11):3953. doi: 10.3390/nu13113953.
   PubMed Web of Science ®Google Scholar
• Simopoulos, A. P. 2020. Impact of nutrigenetics and nutrigenomics on society. In Principles of nutrigenetics and nutrigenomics, 549–55. London, UK: Elsevier. doi: 10.1016/B978-0-12-804572-5.00073-2.
   Google Scholar
• Singh, V. 2023. Current challenges and future implications of exploiting the “OMICS” data into nutrigenetics and nutrigenomics for personalized diagnosis and nutrition-based care. Nutrition (Burbank, Los Angeles County, Calif.) 110:112002. doi: 10.1016/J.NUT.2023.112002.
   PubMed Web of Science ®Google Scholar
• Sonka, S. T. 2021. Digital technologies, big data, and agricultural innovation. In The innovation revolution in agriculture, 207–26. Cham: Springer International Publishing. doi: 10.1007/978-3-030-50991-0_8.
   Google Scholar
• Srivastava, R. 2023. Applications of artificial intelligence multiomics in precision oncology. Journal of Cancer Research and Clinical Oncology 149 (1):503–10. doi: 10.1007/S00432-022-04161-4/FIGURES/3.
   PubMed Web of Science ®Google Scholar
• Stewart, C., C. Ralyea, S. Lockwood, and W. B. Saunders. 2019. Ovarian cancer: An integrated review. Seminars in Oncology Nursing 35 (2):151–6. doi: 10.1016/j.soncn.2019.02.001.
   PubMed Web of Science ®Google Scholar
• Stockert, A. L., and M. Hill. 2018. Anticancer potential of dietary polyphenols. In Bioactive components, diet and medical treatment in cancer prevention, 25–50. Cham: Springer International Publishing. doi: 10.1007/978-3-319-75693-6_2.
   Google Scholar
• Subbannayya, Y., R. Di Fiore, S. A. M. Urru, and J. Calleja-Agius. 2021. The role of omics approaches to characterize molecular mechanisms of rare ovarian cancers: Recent advances and future perspectives. Biomedicines 9 (10):1481. doi: 10.3390/BIOMEDICINES9101481.
   PubMed Web of Science ®Google Scholar
• Sun, S., and H. Fang. 2021. Curcumin inhibits ovarian cancer progression by regulating circ-PLEKHM3/MiR-320a/SMG1 axis. Journal of Ovarian Research 14 (1):158. doi: 10.1186/s13048-021-00916-8.
   PubMed Web of Science ®Google Scholar
• Sung, H., J. Ferlay, R. L. Siegel, M. Laversanne, I. Soerjomataram, A. Jemal, and F. Bray. 2021. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians 71 (3):209–49. doi: 10.3322/caac.21660.
   PubMed Web of Science ®Google Scholar
• Supplitt, S., P. Karpinski, M. Sasiadek, and I. Laczmanska. 2021. Current achievements and applications of transcriptomics in personalized cancer medicine. International Journal of Molecular Sciences 22 (3):1422. doi: 10.3390/ijms22031422.
   PubMed Web of Science ®Google Scholar
• Suwinski, P., C. Ong, M. H. T. Ling, Y. M. Poh, A. M. Khan, and H. S. Ong. 2019. Advancing personalized medicine through the application of whole exome sequencing and big data analytics. Frontiers in Genetics 10:49. doi: 10.3389/fgene.2019.00049.
   PubMed Web of Science ®Google Scholar
• Talari, G., E. Cummins, C. McNamara, and J. O’Brien. 2022. State of the art review of big data and web-based decision support systems (DSS) for food safety risk assessment with respect to climate change. Trends in Food Science & Technology 126 (August):192–204. doi: 10.1016/j.tifs.2021.08.032.
   Google Scholar
• Tavsan, Z., and H. Ayar. 2019. Flavonoids showed anticancer effects on the ovarian cancer cells : Involvement of reactive oxygen species, apoptosis, cell cycle and invasion. Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie 116 (February):109004. doi: 10.1016/j.biopha.2019.109004.
   PubMedGoogle Scholar
• Tayanloo-Beik, A., M. Sarvari, M. Payab, K. Gilany, S. Alavi-Moghadam, M. Gholami, P. Goodarzi, B. Larijani, and B. Arjmand. 2020. OMICS insights into cancer histology; metabolomics and proteomics approach. Clinical Biochemistry 84 (October):13–20. doi: 10.1016/j.clinbiochem.2020.06.008.
   PubMedGoogle Scholar
• Teekaraman, D., S. Priya Elayapillai, M. Priya Viswanathan, and A. Jagadeesan. 2019. Quercetin inhibits human metastatic ovarian cancer cell growth and modulates components of the intrinsic apoptotic pathway in PA-1 cell line. Chemico-Biological Interactions 300(December). :91–100. doi: 10.1016/j.cbi.2019.01.008.
   PubMedGoogle Scholar
• Teibo, J. O., V. C. Silvestrini, A. P. Vargas, G. P. Lanfredi, and V. M. Faça. 2022. The Interplay between the transcriptomics and proteomics profiles. In Transcriptomics in health and disease, 187–208. Cham: Springer International Publishing. doi: 10.1007/978-3-030-87821-4_8.
   Google Scholar
• Tresserra-Rimbau, A., R. M. Lamuela-Raventos, and J. J. Moreno. 2018. Polyphenols, food and pharma. current knowledge and directions for future research. Biochemical Pharmacology 156 (October):186–95. doi: 10.1016/J.BCP.2018.07.050.
   PubMedGoogle Scholar
• Trisha, A. T., M. H. Shakil, S. Talukdar, K. Rovina, N. Huda, and W. Zzaman. 2022. Tea polyphenols and their preventive measures against cancer: current trends and directions. Foods (Basel, Switzerland) 11 (21):3349. doi: 10.3390/foods11213349.
   PubMed Web of Science ®Google Scholar
• Vivarelli, S., R. Salemi, S. Candido, L. Falzone, M. Santagati, S. Stefani, F. Torino, G. L. Banna, G. Tonini, and M. Libra. 2019. Gut microbiota and cancer: From pathogenesis to therapy. Cancers 11 (1):38. doi: 10.3390/cancers11010038.
   PubMed Web of Science ®Google Scholar
• Walther-António, M. R. S., J. Chen, F. Multinu, A. Hokenstad, T. J. Distad, E. H. Cheek, G. L. Keeney, D. J. Creedon, H. Nelson, A. Mariani, et al. 2016. Potential contribution of the uterine microbiome in the development of endometrial cancer. Genome Medicine 8 (1):122. doi: 10.1186/s13073-016-0368-y.
   PubMedGoogle Scholar
• Wan, M., and D. A. Bell. 2020. Analysis of genome-wide methylation using reduced representation bisulfite sequencing (RRBS) technology. In Epigenetics methods, 141–56. London, UK: Elsevier. doi: 10.1016/B978-0-12-819414-0.00008-2.
   Google Scholar
• Wang, J., D. C. Dean, F. J. Hornicek, H. Shi, and Z. Duan. 2019. RNA sequencing (RNA-Seq) and its application in ovarian cancer. Gynecologic Oncology 152 (1):194–201. doi: 10.1016/j.ygyno.2018.10.002.
   PubMed Web of Science ®Google Scholar
• Wang, X., X. Zhao, J. Zhao, T. Yang, F. Zhang, and L. Liu. 2021. Serum metabolite signatures of epithelial ovarian cancer based on targeted metabolomics. Clinica Chimica Acta; International Journal of Clinical Chemistry 518 (July):59–69. doi: 10.1016/J.CCA.2021.03.012.
   PubMedGoogle Scholar
• Wang, X., Y. Dong, Y. Zheng, and Y. Chen. 2021. Multiomics metabolic and epigenetics regulatory network in cancer: A systems biology perspective. Journal of Genetics and Genomics = Yi Chuan Xue Bao 48 (7):520–30. doi: 10.1016/j.jgg.2021.05.008.
   PubMed Web of Science ®Google Scholar
• WHO. 2022. Cancer. World Health Organization.
   Google Scholar
• Xiao, Y., M. Bi, H. Guo, and M. Li. 2022. Multi-omics approaches for biomarker discovery in early ovarian cancer diagnosis. EBioMedicine 79 (May):104001. doi: 10.1016/j.ebiom.2022.104001.
   PubMedGoogle Scholar
• Yang, S., L. Si, Y. Jia, W. Jian, Q. Yu, M. Wang, and R. Lin. 2019. Kaempferol exerts anti-proliferative effects on human ovarian cancer cells by inducing apoptosis, G0/G1 cell cycle arrest and modulation of MEK/ERK and STAT3 pathways. Journal of B.U.ON.: Official Journal of the Balkan Union of Oncology 24 (3):975–81.
   PubMed Web of Science ®Google Scholar
• Yao, S., M. Gao, Z. Wang, W. Wang, L. Zhan, and B. Wei. 2021. Upregulation of microrna-34a sensitizes ovarian cancer cells to resveratrol by targeting Bcl-2. Yonsei Medical Journal 62 (8):691–701. doi: 10.3349/ymj.2021.62.8.691.
   PubMed Web of Science ®Google Scholar
• Ye, M., Y. Lin, S. Pan, Z.-W. Wang, and X. Zhu. 2021. Applications of multi-omics approaches for exploring the molecular mechanism of ovarian carcinogenesis. Frontiers in Oncology 11 (September):745808. doi: 10.3389/fonc.2021.745808.
   PubMedGoogle Scholar
• Yi, J., S. Li, C. Wang, N. Cao, H. Qu, C. Cheng, Z. Wang, L. Wang, and L. Zhou. 2019. Potential applications of polyphenols on main NcRNAs regulations as novel therapeutic strategy for cancer. Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie 113:108703. doi: 10.1016/J.BIOPHA.2019.108703.
   PubMed Web of Science ®Google Scholar
• Zeisel, S. H. 2020. Precision (personalized) nutrition: Understanding metabolic heterogeneity. Annual Review of Food Science and Technology 11 (1):71–92. doi: 10.1146/annurev-food-032519.
   PubMedGoogle Scholar
• Zhang, W., P. Peng, X. Ou, K. Shen, and X. Wu. 2019. Ovarian cancer circulating extracelluar vesicles promote coagulation and have a potential in diagnosis: An ITRAQ based proteomic analysis. BMC Cancer 19 (1):1095. doi: 10.1186/s12885-019-6176-1.
   PubMed Web of Science ®Google Scholar
• Zhou, E., Y. Li, F. Wu, M. Guo, J. Xu, S. Wang, Q. Tan, P. Ma, S. Song, and Y. Jin. 2021. Circulating extracellular vesicles are effective biomarkers for predicting response to cancer therapy. EBioMedicine 67(May):103365. doi: 10.1016/j.ebiom.2021.103365.
   PubMedGoogle Scholar
• Zhou, L., P. Liu, B. Chen, Y. Wang, X. Wang, Maurizio, C. Internati, M. S. Wachtel, and E. E. Frezza. 2008. Silibinin restores paclitaxel sensitivity to paclitaxel-resistant human ovarian carcinoma cells. Anticancer Research 28 (2A):1119–27. https://ar.iiarjournals.org/content/28/2A/1119.short.
   PubMed Web of Science ®Google Scholar