Submitted:
29 December 2025
Posted:
30 December 2025
Read the latest preprint version here
Abstract
Keywords:
1. Introduction
2. Methodology of Literature Review
2.1. Literature Search Strategy
2.2. Inclusion and Exclusion Criteria
2.3. Data Extraction and Synthesis
2.4. Quality and Reporting Considerations
3. Global Overview of the Top Five Most Common Cancers
4. Breast Cancer
4.1. Epidemiology
4.2. Etiology and Risk Factors
- Hormonal factors: Early menarche, late menopause, nulliparity, late age at first childbirth, and prolonged exposure to exogenous hormones are associated with elevated risk [28].
- Lifestyle factors: Obesity, physical inactivity, alcohol consumption, and high-fat diet have been consistently linked to increased breast cancer risk [29].
- Environmental exposures: Ionizing radiation, endocrine-disrupting chemicals, and urban pollution may contribute to carcinogenesis [30].
- Family history: A positive family history of breast cancer increases risk independently of known genetic mutations [27].
4.3. Molecular and Pathophysiological Mechanisms
4.4. Clinical Presentation and Diagnosis
4.5. Current Treatment Modalities
- Surgery: Lumpectomy or mastectomy remains the cornerstone of treatment [35].
- Radiotherapy: Often used postoperatively to reduce local recurrence risk [35].
- Chemotherapy: Neoadjuvant or adjuvant regimens, particularly for high-risk or triple-negative cases [36].
- Hormonal therapy: Tamoxifen, aromatase inhibitors, or ovarian suppression for hormone receptor-positive tumors [37].
- Targeted therapy: HER2-positive tumors are treated with trastuzumab, pertuzumab, and other HER2 inhibitors [38].
- Immunotherapy: Checkpoint inhibitors (e.g., pembrolizumab) show promise in TNBC [39].
4.6. Prevention Strategies
4.7. Challenges and Limitations
4.8. Future Needs and Research Directions
5. Lung Cancer
5.1. Epidemiology
5.2. Etiology and Risk Factors
- Tobacco smoking: Responsible for 85–90% of lung cancer cases in high-income countries [46]. Both active and passive smoking significantly increase risk.
- Genetic susceptibility: Rare germline mutations and polymorphisms in genes such as EGFR, TP53, and KRAS can influence individual susceptibility [49].
- Other factors: Chronic lung diseases (COPD, pulmonary fibrosis), prior radiation, and dietary deficiencies have been implicated [50].
5.3. Molecular and Pathophysiological Mechanisms
5.4. Clinical Presentation and Diagnosis
5.5. Current Treatment Modalities
- Surgery: Lobectomy or pneumonectomy is preferred for early-stage NSCLC [56].
- Radiotherapy: Stereotactic body radiotherapy (SBRT) is effective for non-surgical candidates [56].
- Chemotherapy: Platinum-based doublets are standard for advanced disease [57].
- Targeted therapy: EGFR, ALK, ROS1, BRAF, and NTRK inhibitors have improved outcomes in molecularly selected patients [58].
- Immunotherapy: Immune checkpoint inhibitors (PD-1/PD-L1 and CTLA-4 inhibitors) are increasingly used, alone or in combination with chemotherapy, especially for advanced NSCLC [59].
5.6. Prevention Strategies
5.7. Challenges and Limitations
5.8. Future Needs and Research Directions
6. Colorectal Cancer
6.1. Epidemiology
6.2. Etiology and Risk Factors
- Genetic predisposition: Approximately 5–10% of CRC cases are hereditary, with conditions such as Lynch syndrome (hereditary nonpolyposis colorectal cancer) and familial adenomatous polyposis (FAP) being significant contributors [67].
- Lifestyle factors: Diets high in red and processed meats, low fiber intake, physical inactivity, obesity, and alcohol consumption increase risk [68].
- Inflammatory bowel disease: Long-standing ulcerative colitis or Crohn’s disease is associated with elevated CRC risk [69].
6.3. Molecular and Pathophysiological Mechanisms
6.4. Clinical Presentation and Diagnosis
6.5. Current Treatment Modalities
- Surgery: Standard treatment for localized CRC; includes colectomy or proctectomy with lymph node dissection [78].
- Chemotherapy: Adjuvant chemotherapy is recommended for stage III and high-risk stage II CRC; regimens commonly include FOLFOX (5-fluorouracil, leucovorin, oxaliplatin) or CAPOX (capecitabine, oxaliplatin) [79].
- Radiotherapy: Primarily used for rectal cancer to reduce local recurrence, often in combination with chemotherapy [80].
- Targeted therapy: Anti-EGFR monoclonal antibodies (cetuximab, panitumumab) and anti-VEGF agents (bevacizumab) are used in metastatic CRC with specific molecular profiles [81].
- Immunotherapy: Checkpoint inhibitors, such as pembrolizumab and nivolumab, are effective in MSI-high tumors [82].
6.6. Prevention Strategies
6.7. Challenges and Limitations
6.8. Future Needs and Research Directions
7. Prostate Cancer
7.1. Epidemiology
7.2. Etiology and Risk Factors
- Hormonal factors: Androgens play a central role in prostate growth and cancer development; alterations in androgen receptor signaling contribute to tumorigenesis [91].
- Lifestyle factors: Diets high in red meat, obesity, and physical inactivity may modestly increase risk, though evidence is mixed [92].
7.3. Molecular and Pathophysiological Mechanisms
7.4. Clinical Presentation and Diagnosis
7.5. Current Treatment Modalities
- Active surveillance: Recommended for low-risk localized disease to avoid overtreatment [99].
- Surgery: Radical prostatectomy is standard for localized and some locally advanced cases [100].
- Radiotherapy: External beam radiotherapy or brachytherapy is used for localized and locally advanced disease [100].
- Chemotherapy: Docetaxel and cabazitaxel are used in metastatic castration-resistant prostate cancer (mCRPC) [102].
7.6. Prevention Strategies
7.7. Challenges and Limitations
7.8. Future Needs and Research Directions
8. Cervical Cancer
8.1. Epidemiology
8.2. Etiology and Risk Factors
- Early sexual debut and multiple sexual partners [110].
- Immunosuppression, including HIV infection or prolonged immunosuppressive therapy [111].
- Smoking, which promotes carcinogenesis in cervical epithelium [112].
- Long-term oral contraceptive use and high parity may increase risk modestly [113].
- Genetic susceptibility: Rare hereditary syndromes may contribute to risk [114].
8.3. Molecular and Pathophysiological Mechanisms
8.4. Clinical Presentation and Diagnosis
8.5. Current Treatment Modalities
- Surgery: Conization or radical hysterectomy for early-stage disease [119].
- Radiotherapy: External beam radiation and brachytherapy are standard for locally advanced disease [120].
- Chemotherapy: Concurrent chemoradiation with cisplatin improves survival in locally advanced cervical cancer [120].
- Targeted therapy: Bevacizumab, an anti-VEGF monoclonal antibody, improves survival in metastatic or recurrent disease [121].
- Immunotherapy: Checkpoint inhibitors (e.g., pembrolizumab) show efficacy in PD-L1 positive recurrent/metastatic cervical cancer [122].
8.6. Prevention Strategies
8.7. Challenges and Limitations
8.8. Future Needs and Research Directions
9. Comparative Analysis of the Five Cancers
9.1. Epidemiology and Global Distribution
9.2. Etiological Comparisons
9.3. Molecular and Therapeutic Insights
9.4. Screening and Prevention
9.5. Future Directions
| Cancer Type | Global Incidence (2020) | Major Causes / Risk Factors | Standard Treatments | Future Directions / Research Needs |
| Breast | 2.3 million new cases [23] | Genetic (BRCA1/2), hormonal factors, age, obesity, lifestyle [24,25,26,27,28] | Surgery, radiotherapy, chemotherapy, endocrine therapy, targeted therapy (HER2 inhibitors) [31,32,33,34,35,36,37,38,39,40] | Precision medicine, liquid biopsies, immunotherapy, early detection biomarkers, reducing disparities [41,42] |
| Lung | 2.2 million new cases [43] | Tobacco smoking, air pollution, occupational exposures, genetic mutations [46,47,48,49] | Surgery, radiotherapy, chemotherapy, targeted therapy (EGFR/ALK inhibitors), immunotherapy [56,57,58,59] | Novel targeted agents, early detection biomarkers, AI-assisted screening, global access to care [53,61,62] |
| Colorectal | 1.9 million new cases [63] | Diet, obesity, physical inactivity, hereditary syndromes (Lynch, FAP), IBD [67,68,69,70,71] | Surgery, chemotherapy (FOLFOX/CAPOX), radiotherapy (rectal), targeted therapy (anti-EGFR/VEGF), immunotherapy (MSI-high) [78,79,80,81,82] | Precision medicine, microbiome interventions, liquid biopsy, AI-assisted screening, global screening programs [73,84,85] |
| Prostate | 1.4 million new cases [86] | Age, family history, BRCA mutations, androgen signaling, lifestyle, ethnicity [89,90,91,92,93] | Active surveillance, surgery, radiotherapy, hormonal therapy (ADT), chemotherapy, targeted therapy (PARP inhibitors), immunotherapy [99,100,101,102,103,104] | Genomic profiling, targeted therapies, liquid biopsy, AI-assisted imaging, addressing disparities [96,104,106] |
| Cervical | 604,000 new cases [107] | Persistent high-risk HPV infection (16/18), immunosuppression, smoking, sexual behavior, genetics [110,111,112,113,114] |
10. Emerging Technologies and Innovations in Cancer Care
10.1. Precision Medicine and Genomic Profiling
10.2. Liquid Biopsies and Non-Invasive Diagnostics
10.3. Artificial Intelligence and Digital Health
10.4. Immunotherapy and Novel Therapeutics
10.5. Robotics and Minimally Invasive Surgery
10.6. Future Directions
11. Public Health and Policy Implications
11.1. Prevention and Risk Reduction
11.2. Screening and Early Detection
11.3. Health Systems and Access to Care
11.4. Research and Innovation Policy
11.5. Global Collaboration and Equity
12.6. Policy Recommendations
- Expanding primary prevention programs targeting lifestyle and infection-related risk factors.
- Implementing population-based screening and early detection programs.
- Enhancing healthcare infrastructure and workforce capacity for timely diagnosis and treatment.
- Supporting research and innovation through funding, regulation, and collaboration.
12. Future Perspectives
12.1. Personalized and Precision Oncology
12.2. Early Detection and Screening Innovations
12.3. Immunotherapy and Novel Therapeutics
12.4. Digital Health and AI Integration
12.5. Global Health Equity and Policy Innovation
12.6. Research and Collaborative Priorities
- Translational research to bridge laboratory discoveries and clinical application.
- Longitudinal studies to understand cancer etiology and therapy response across populations.
- Implementation science to optimize uptake of screening and preventive interventions.
13. Limitations of the Review
13.1. Scope and Selection Bias
13.2. Heterogeneity of Data Sources
13.3. Rapidly Evolving Field
13.4. Limited Patient-Level Data
13.5. Language and Accessibility Limitations
14. Discussion
14.1. Epidemiological Trends and Risk Factors
14.2. Molecular Mechanisms and Pathogenesis
14.3. Current Treatment Strategies
14.4. Emerging Technologies and Innovations
14.5. Public Health and Policy Implications
14.6. Integrating Research, Innovation, and Equity
14.7. Limitations and Challenges
15. Conclusion
Author Contributions
References
- Sung, H; Ferlay, J; Siegel, RL; Laversanne, M; Soerjomataram, I; Jemal, A; et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024, 74(1), 1–35. [Google Scholar]
- World Health Organization. Cancer. WHO Fact Sheets; WHO: Geneva, 2023. [Google Scholar]
- Bray, F; Laversanne, M; Weiderpass, E; Soerjomataram, I. The ever-increasing importance of cancer as a leading cause of premature death worldwide. Cancer. 2021, 127(16), 3029–3030. [Google Scholar] [CrossRef]
- World Cancer Report: Cancer Research for Cancer Prevention.; Wild, CP, Weiderpass, E, Stewart, BW, Eds.; IARC: Lyon, 2020. [Google Scholar]
- Plummer, M; de Martel, C; Vignat, J; Ferlay, J; Bray, F; Franceschi, S. Global burden of cancers attributable to infections in 2018. Lancet Glob Health. 2021, 9(4), e467–e474. [Google Scholar]
- Ferlay, J; Colombet, M; Soerjomataram, I; et al. Cancer statistics for the year 2020: An overview. Int J Cancer. 2021, 149(4), 778–789. [Google Scholar] [CrossRef]
- Vogelstein, B; Papadopoulos, N; Velculescu, VE; Zhou, S; Diaz, LA, Jr.; Kinzler, KW. Cancer genome landscapes. Science. 2013, 339(6127), 1546–1558. [Google Scholar] [CrossRef] [PubMed]
- Hanahan, D. Hallmarks of cancer: New dimensions. Cancer Discov. 2022, 12(1), 31–46. [Google Scholar] [CrossRef]
- Ribas, A; Wolchok, JD. Cancer immunotherapy using checkpoint blockade. Science. 2018, 359(6382), 1350–1355. [Google Scholar] [CrossRef]
- Sankaranarayanan, R; Swaminathan, R; Brenner, H; et al. Cancer survival in Africa, Asia, and Central America: A population-based study. Lancet Oncol. 2010, 11(2), 165–173. [Google Scholar] [CrossRef]
- Ginsburg, O; Bray, F; Coleman, MP; et al. The global burden of women’s cancers: A grand challenge in global health. Lancet. 2017, 389(10071), 847–860. [Google Scholar] [CrossRef]
- Green, BN; Johnson, CD; Adams, A. Writing narrative literature reviews for peer-reviewed journals: Secrets of the trade. J Chiropr Med. 2006, 5(3), 101–117. [Google Scholar] [CrossRef] [PubMed]
- Gasparyan, AY; Ayvazyan, L; Blackmore, H; Kitas, GD. Writing a narrative biomedical review: Considerations for authors, peer reviewers, and editors. Rheumatol Int. 2011, 31(11), 1409–1417. [Google Scholar] [CrossRef]
- Ferrari, R. Writing narrative style literature reviews. Med Writ. 2015, 24(4), 230–235. [Google Scholar] [CrossRef]
- Baethge, C; Goldbeck-Wood, S; Mertens, S. SANRA—A scale for the quality assessment of narrative review articles. Res Integr Peer Rev. 2019, 4, 5. [Google Scholar] [CrossRef] [PubMed]
- Sung, H; Ferlay, J; Siegel, RL; Laversanne, M; Soerjomataram, I; Jemal, A; et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024, 74(1), 1–35. [Google Scholar]
- Bray, F; Jemal, A; Grey, N; Ferlay, J; Forman, D. Global cancer transitions according to the Human Development Index (2008–2030): A population-based study. Lancet Oncol. 2012, 13(8), 790–801. [Google Scholar] [CrossRef]
- Torre, LA; Siegel, RL; Jemal, A. Lung cancer statistics. Adv Exp Med Biol. 2016, 893, 1–19. [Google Scholar] [PubMed]
- Arnold, M; Sierra, MS; Laversanne, M; Soerjomataram, I; Jemal, A; Bray, F. Global patterns and trends in colorectal cancer incidence and mortality. Gut. 2017, 66(4), 683–691. [Google Scholar] [CrossRef] [PubMed]
- Rawla, P. Epidemiology of prostate cancer. World J Oncol. 2019, 10(2), 63–89. [Google Scholar] [CrossRef]
- Arbyn, M; Weiderpass, E; Bruni, L; et al. Estimates of incidence and mortality of cervical cancer in 2018: A worldwide analysis. Lancet Glob Health. 2020, 8(2), e191–e203. [Google Scholar] [CrossRef]
- Allemani, C; Matsuda, T; Di Carlo, V; et al. Global surveillance of trends in cancer survival 2000–14 (CONCORD-3): Analysis of individual records for 37,513,025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries. Lancet. 2018, 391(10125), 1023–1075. [Google Scholar] [CrossRef]
- Sung, H; Ferlay, J; Siegel, RL; Laversanne, M; Soerjomataram, I; Jemal, A; et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024, 74(1), 1–35. [Google Scholar]
- Bray, F; Ferlay, J; Soerjomataram, I; Siegel, RL; Torre, LA; Jemal, A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018, 68(6), 394–424. [Google Scholar] [CrossRef]
- Ginsburg, O; Bray, F; Coleman, MP; et al. The global burden of women’s cancers: A grand challenge in global health. Lancet. 2017, 389(10071), 847–860. [Google Scholar] [CrossRef]
- Kuchenbaecker, KB; Hopper, JL; Barnes, DR; et al. Risks of breast, ovarian, and contralateral breast cancer for BRCA1 and BRCA2 mutation carriers. JAMA. 2017, 317(23), 2402–2416. [Google Scholar] [CrossRef]
- Mavaddat, N; Peock, S; Frost, D; et al. Cancer risks for BRCA1 and BRCA2 mutation carriers: Results from prospective analysis of EMBRACE. J Natl Cancer Inst. 2013, 105(11), 812–822. [Google Scholar] [CrossRef]
- Collaborative Group on Hormonal Factors in Breast Cancer. Breast cancer and hormonal contraceptives: Collaborative reanalysis. Lancet. 1996, 347(9017), 1713–1727.
- World Cancer Research Fund; American Institute for Cancer Research. Diet, Nutrition, Physical Activity, and Breast Cancer. Continuous Update Project Report. 2018. [Google Scholar]
- Brody, JG; Rudel, RA. Environmental pollutants and breast cancer. Environ Health Perspect. 2003, 111(8), 1007–1019. [Google Scholar] [CrossRef]
- Perou, CM; Sorlie, T; Eisen, MB; et al. Molecular portraits of human breast tumours. Nature. 2000, 406, 747–752. [Google Scholar] [CrossRef]
- Polyak, K. Heterogeneity in breast cancer. J Clin Invest. 2011, 121(10), 3786–3788. [Google Scholar] [CrossRef]
- DeNardo, DG; Ruffell, B. Macrophages as regulators of tumour immunity and immunotherapy. Nat Rev Immunol. 2019, 19(6), 369–382. [Google Scholar] [CrossRef]
- Gradishar, WJ; Anderson, BO; Balassanian, R; et al. Breast cancer, version 3.2020, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 2020, 18(4), 452–478. [Google Scholar] [CrossRef]
- Morrow, M; Harris, JR; Schnitt, SJ. Surgical management of breast cancer. N Engl J Med. 2012, 367, 203–210. [Google Scholar]
- Early Breast Cancer Trialists’ Collaborative Group (EBCTCG). Effects of chemotherapy and hormonal therapy for early breast cancer. Lancet. 2005, 365(9472), 1687–1717.
- Davies, C; Pan, H; Godwin, J; et al. Long-term effects of continuing adjuvant tamoxifen to 10 years versus stopping at 5 years after diagnosis of estrogen receptor-positive breast cancer: ATLAS trial. Lancet. 2013, 381(9869), 805–816. [Google Scholar] [CrossRef]
- Piccart-Gebhart, MJ; Procter, M; Leyland-Jones, B; et al. Trastuzumab after adjuvant chemotherapy in HER2-positive breast cancer. N Engl J Med. 2005, 353, 1659–1672. [Google Scholar] [CrossRef]
- Schmid, P; Adams, S; Rugo, HS; et al. Atezolizumab and nab-paclitaxel in advanced triple-negative breast cancer. N Engl J Med. 2018, 379, 2108–2121. [Google Scholar] [CrossRef]
- Siu, AL; U.S. Preventive Services Task Force. Screening for breast cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2016, 164(4), 279–296. [Google Scholar] [CrossRef]
- Gampenrieder, SP; Rinnerthaler, G; Greil, R. Precision medicine in breast cancer: Concepts, applications, and future perspectives. Breast Care. 2015, 10(5), 335–342. [Google Scholar]
- Esteva, A; Robicquet, A; Ramsundar, B; et al. A guide to deep learning in healthcare. Nat Med. 2019, 25, 24–29. [Google Scholar] [CrossRef]
- Torre, LA; Siegel, RL; Jemal, A. Lung cancer statistics. Adv Exp Med Biol. 2016, 893, 1–19. [Google Scholar]
- Sung, H; Ferlay, J; Siegel, RL; Laversanne, M; Soerjomataram, I; Jemal, A; et al. Global cancer statistics 2022. CA Cancer J Clin. 2024, 74(1), 1–35. [Google Scholar]
- Bray, F; Jemal, A; Grey, N; Ferlay, J; Forman, D. Global cancer transitions according to the Human Development Index (2008–2030): A population-based study. Lancet Oncol. 2012, 13(8), 790–801. [Google Scholar] [CrossRef]
- Islami, F; Torre, LA; Jemal, A. Global trends of lung cancer mortality and smoking prevalence. Nat Rev Cancer. 2015, 15, 573–584. [Google Scholar]
- Hamra, GB; Guha, N; Cohen, A; et al. Outdoor particulate matter exposure and lung cancer: A systematic review and meta-analysis. Environ Health Perspect. 2014, 122(9), 906–911. [Google Scholar] [CrossRef]
- Vineis, P; Husgafvel-Pursiainen, K. Air pollution and cancer: Biomarkers of exposure and effect. Environ Health Perspect. 2005, 113, 539–550. [Google Scholar]
- Herbst, RS; Morgensztern, D; Boshoff, C. The biology and management of non-small cell lung cancer. Nature. 2018, 553, 446–454. [Google Scholar] [CrossRef] [PubMed]
- Samet, JM; Avila-Tang, E; Boffetta, P; et al. Lung cancer in never smokers: Clinical epidemiology and environmental risk factors. Clin Cancer Res. 2009, 15(18), 5626–5645. [Google Scholar] [CrossRef] [PubMed]
- Govindan, R; Page, N; Morgensztern, D; et al. Changing epidemiology of small-cell lung cancer in the United States over the last 30 years. Cancer. 2006, 107(9), 2111–2117. [Google Scholar]
- Herbst, RS; Morgensztern, D; Boshoff, C. The biology and management of non-small cell lung cancer. Nature. 2018, 553, 446–454. [Google Scholar] [CrossRef]
- Reck, M; Rabe, KF. Precision diagnosis and treatment for advanced non-small-cell lung cancer. N Engl J Med. 2017, 377, 849–861. [Google Scholar] [CrossRef]
- Ettinger, DS; Wood, DE; Aisner, DL; et al. Non-small cell lung cancer, version 5.2021, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 2021, 19(3), 254–266. [Google Scholar] [CrossRef] [PubMed]
- Detterbeck, FC; Boffa, DJ; Tanoue, LT. The new lung cancer staging system. Chest. 2009, 136, 260–271. [Google Scholar] [CrossRef]
- National Comprehensive Cancer Network. NCCN Guidelines: Non-Small Cell Lung Cancer. Version 2.2024.
- Schiller, JH; Harrington, D; Belani, CP; et al. Comparison of four chemotherapy regimens for advanced non-small-cell lung cancer. N Engl J Med. 2002, 346, 92–98. [Google Scholar] [CrossRef] [PubMed]
- Kris, MG; Johnson, BE; Berry, LD; et al. Using multiplexed assays of oncogenic drivers in lung cancers to select targeted drugs. JAMA. 2014, 311(19), 1998–2006. [Google Scholar] [CrossRef]
- Brahmer, J; Reckamp, KL; Baas, P; et al. Nivolumab versus docetaxel in advanced squamous-cell non-small-cell lung cancer. N Engl J Med. 2015, 373, 123–135. [Google Scholar] [CrossRef] [PubMed]
- National Lung Screening Trial Research Team. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011, 365, 395–409. [Google Scholar] [CrossRef]
- Skoulidis, F; Heymach, JV. Co-occurring genomic alterations in non-small-cell lung cancer biology and therapy. Nat Rev Cancer. 2019, 19, 495–509. [Google Scholar] [CrossRef]
- He, Y; Wu, Z; Chen, Y; et al. Emerging biomarkers for lung cancer diagnosis and precision therapy. Front Oncol. 2022, 12, 876857. [Google Scholar]
- Sung, H; Ferlay, J; Siegel, RL; Laversanne, M; Soerjomataram, I; Jemal, A; et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide. CA Cancer J Clin. 2021, 71(3), 209–249. [Google Scholar]
- Arnold, M; Sierra, MS; Laversanne, M; Soerjomataram, I; Jemal, A; Bray, F. Global patterns and trends in colorectal cancer incidence and mortality. Gut. 2017, 66, 683–691. [Google Scholar] [CrossRef]
- Dekker, E; Tanis, PJ; Vleugels, JLA; Kasi, PM; Wallace, MB. Colorectal cancer. Lancet. 2019, 394, 1467–1480. [Google Scholar]
- Bailey, CE; Hu, CY; You, YN; et al. Increasing disparities in the age-related incidence of colon and rectal cancers in the United States. JAMA Surg. 2015, 150, 17–22. [Google Scholar] [CrossRef]
- Vasen, HF; Tomlinson, I; Castells, A; et al. Hereditary colorectal cancer: ESMO Clinical Practice Guidelines. Ann Oncol. 2013, 24 Suppl 6, vi73–vi80. [Google Scholar]
- World Cancer Research Fund; American Institute for Cancer Research. Diet, Nutrition, Physical Activity, and Colorectal Cancer. 2018. [Google Scholar]
- Jess, T; Rungoe, C; Peyrin-Biroulet, L. Risk of colorectal cancer in patients with ulcerative colitis: A meta-analysis of population-based cohort studies. Clin Gastroenterol Hepatol. 2012, 10, 639–645. [Google Scholar] [CrossRef]
- Murphy, N; Norat, T; Ferrari, P; et al. Lifestyle and dietary environmental factors in colorectal cancer prevention. Curr Opin Gastroenterol. 2019, 35, 43–49. [Google Scholar]
- Tilg, H; Adolph, TE; Gerner, RR; Moschen, AR. The intestinal microbiota in colorectal cancer. Cancer Cell. 2018, 33, 954–964. [Google Scholar]
- Fearon, ER; Vogelstein, B. A genetic model for colorectal tumorigenesis. Cell. 1990, 61, 759–767. [Google Scholar] [PubMed]
- Guinney, J; Dienstmann, R; Wang, X; et al. The consensus molecular subtypes of colorectal cancer. Nat Med. 2015, 21, 1350–1356. [Google Scholar] [CrossRef] [PubMed]
- Boland, CR; Goel, A. Microsatellite instability in colorectal cancer. Gastroenterology. 2010, 138, 2073–2087. [Google Scholar] [CrossRef]
- Kinzler, KW; Vogelstein, B. Lessons from hereditary colorectal cancer. Cell. 1996, 87, 159–170. [Google Scholar]
- Rex, DK; Boland, CR; Dominitz, JA; et al. Colorectal cancer screening: Recommendations for physicians and patients from the US Multi-Society Task Force. Am J Gastroenterol. 2017, 112, 1016–1030. [Google Scholar] [CrossRef]
- Edge, SB; Compton, CC. The American Joint Committee on Cancer: The 7th edition of the AJCC cancer staging manual and the future of TNM. Ann Surg Oncol. 2010, 17, 1471–1474. [Google Scholar] [CrossRef]
- Sauer, R; Liersch, T; Merkel, S; et al. Preoperative versus postoperative chemoradiotherapy for locally advanced rectal cancer. N Engl J Med. 2004, 351, 1731–1740. [Google Scholar] [CrossRef]
- André, T; Boni, C; Mounedji-Boudiaf, L; et al. Oxaliplatin, fluorouracil, and leucovorin as adjuvant treatment for colon cancer. N Engl J Med. 2004, 350, 2343–2351. [Google Scholar] [CrossRef]
- Bosset, JF; Calais, G; Mineur, L; et al. Chemotherapy with preoperative radiotherapy in rectal cancer. N Engl J Med. 2006, 355, 1114–1123. [Google Scholar] [CrossRef] [PubMed]
- Van Cutsem, E; Cervantes, A; Nordlinger, B; Arnold, D. Metastatic colorectal cancer: ESMO Clinical Practice Guidelines. Ann Oncol. 2014, 25 Suppl 3, iii1–iii9. [Google Scholar] [CrossRef]
- Le, DT; Durham, JN; Smith, KN; et al. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science. 2017, 357, 409–413. [Google Scholar] [CrossRef]
- Rex, DK; Boland, CR; Dominitz, JA; et al. Colorectal cancer screening: Recommendations from the US Multi-Society Task Force. Am J Gastroenterol. 2017, 112, 1016–1030. [Google Scholar] [CrossRef]
- Dienstmann, R; Vermeulen, L; Guinney, J; et al. Consensus molecular subtypes and precision medicine in colorectal cancer. Nat Rev Gastroenterol Hepatol. 2017, 14, 485–495. [Google Scholar] [CrossRef] [PubMed]
- Ahuja, N; Bhanot, N; Sachdeva, A. Emerging biomarkers and AI-based approaches for colorectal cancer early detection. Front Oncol. 2022, 12, 927319. [Google Scholar]
- Sung, H; Ferlay, J; Siegel, RL; et al. Global cancer statistics 2020. CA Cancer J Clin. 2021, 71, 209–249. [Google Scholar]
- Rawla, P. Epidemiology of prostate cancer. World J Oncol. 2019, 10(2), 63–89. [Google Scholar] [CrossRef]
- Siegel, RL; Miller, KD; Jemal, A. Cancer statistics, 2020. CA Cancer J Clin. 2020, 70, 7–30. [Google Scholar] [CrossRef] [PubMed]
- Kuchenbaecker, KB; Hopper, JL; Barnes, DR; et al. Risks of prostate and other cancers for BRCA1 and BRCA2 mutation carriers. J Clin Oncol. 2017, 35, 170–182. [Google Scholar]
- Ewing, CM; Ray, AM; Lange, EM; et al. Germline mutations in HOXB13 and prostate-cancer risk. N Engl J Med. 2012, 366, 141–149. [Google Scholar] [CrossRef]
- Feldman, BJ; Feldman, D. The development of androgen-independent prostate cancer. Nat Rev Cancer. 2001, 1, 34–45. [Google Scholar] [CrossRef]
- World Cancer Research Fund; American Institute for Cancer Research. Diet, Nutrition, Physical Activity, and Prostate Cancer. 2018. [Google Scholar]
- Rebbeck, TR; Devesa, SS; Chang, BL; et al. Global patterns of prostate cancer incidence, aggressiveness, and mortality in men of African descent. Prostate Cancer. 2013, 2013, 560857. [Google Scholar] [CrossRef]
- Robinson, D; Van Allen, EM; Wu, YM; et al. Integrative clinical genomics of advanced prostate cancer. Cell. 2015, 161, 1215–1228. [Google Scholar] [CrossRef]
- Cancer Genome Atlas Research Network. The molecular taxonomy of primary prostate cancer. Cell. 2015, 163, 1011–1025. [Google Scholar] [CrossRef]
- Beltran, H; Prandi, D; Mosquera, JM; et al. Divergent clonal evolution of castration-resistant neuroendocrine prostate cancer. Nat Med. 2016, 22, 298–305. [Google Scholar] [CrossRef]
- Mottet, N; van den Bergh, RCN; Briers, E; et al. EAU-EANM-ESTRO-ESUR-SIOG Guidelines on Prostate Cancer. Eur Urol. 2021, 79, 243–262. [Google Scholar] [CrossRef]
- Carter, HB; Albertsen, PC; Barry, MJ; et al. Early detection of prostate cancer: AUA guideline. J Urol. 2013, 190, 419–426. [Google Scholar] [CrossRef]
- Hamdy, FC; Donovan, JL; Lane, JA; et al. 10-year outcomes after monitoring, surgery, or radiotherapy for localized prostate cancer. N Engl J Med. 2016, 375, 1415–1424. [Google Scholar] [CrossRef]
- Mottet, N; van den Bergh, RCN; Briers, E; et al. EAU Guidelines on Prostate Cancer. Eur Urol. 2021, 79, 243–262. [Google Scholar] [CrossRef]
- Ryan, CJ; Smith, MR; de Bono, JS; et al. Abiraterone in metastatic prostate cancer without previous chemotherapy. N Engl J Med. 2013, 368, 138–148. [Google Scholar] [CrossRef]
- de Bono, J; Logothetis, CJ; Molina, A; et al. Abiraterone and increased survival in metastatic prostate cancer. N Engl J Med. 2011, 364, 1995–2005. [Google Scholar] [CrossRef] [PubMed]
- Mateo, J; Carreira, S; Sandhu, S; et al. DNA-repair defects and olaparib in metastatic prostate cancer. N Engl J Med. 2015, 373, 1697–1708. [Google Scholar] [CrossRef] [PubMed]
- Kantoff, PW; Higano, CS; Shore, ND; et al. Sipuleucel-T immunotherapy for castration-resistant prostate cancer. N Engl J Med. 2010, 363, 411–422. [Google Scholar] [CrossRef]
- Fenton, JJ; Weyrich, MS; Durbin, S; et al. Prostate-specific antigen–based screening for prostate cancer: Evidence report and systematic review. JAMA. 2018, 319, 1914–1931. [Google Scholar] [CrossRef] [PubMed]
- Wyatt, AW; Gleave, ME. Targeting the androgen receptor pathway in prostate cancer: Mechanisms of resistance and new therapeutic approaches. Endocr Relat Cancer. 2015, 22, R243–R258. [Google Scholar]
- Sung, H; Ferlay, J; Siegel, RL; Laversanne, M; Soerjomataram, I; Jemal, A; et al. Global cancer statistics 2020. CA Cancer J Clin. 2021, 71, 209–249. [Google Scholar]
- Arbyn, M; Weiderpass, E; Bruni, L; et al. Estimates of incidence and mortality of cervical cancer in 2018: A worldwide analysis. Lancet Glob Health. 2020, 8, e191–e203. [Google Scholar] [CrossRef]
- World Health Organization. Cervical cancer. 2021. Available online: https://www.who.int/news-room/fact-sheets/detail/cervical-cancer.
- Walboomers, JM; Jacobs, MV; Manos, MM; et al. Human papillomavirus is a necessary cause of invasive cervical cancer worldwide. J Pathol. 1999, 189, 12–19. [Google Scholar] [CrossRef]
- Clifford, GM; Goncalves, MA; Franceschi, S. Human papillomavirus types among women infected with HIV: A meta-analysis. AIDS. 2006, 20, 2337–2344. [Google Scholar] [CrossRef]
- Castellsagué, X; Muñoz, N. Chapter 3: Cofactors in human papillomavirus carcinogenesis—Role of parity, oral contraceptives, and tobacco smoking. J Natl Cancer Inst Monogr. 2003, 31, 20–28. [Google Scholar] [CrossRef]
- Smith, JS; Green, J; de Gonzalez, AB; et al. Cervical cancer and hormonal contraceptives: Collaborative reanalysis of individual data for 16,573 women with cervical cancer. Lancet. 2003, 361, 1159–1167. [Google Scholar] [CrossRef]
- Cancer Genome Atlas Research Network. Integrated genomic and molecular characterization of cervical cancer. Nature. 2017, 543, 378–384. [Google Scholar] [CrossRef] [PubMed]
- Moody, CA; Laimins, LA. Human papillomavirus oncoproteins: Pathways to transformation. Nat Rev Cancer. 2010, 10, 550–560. [Google Scholar] [CrossRef] [PubMed]
- Schiffman, M; Castle, PE; Jeronimo, J; et al. Human papillomavirus and cervical cancer. Lancet. 2007, 370, 890–907. [Google Scholar] [CrossRef] [PubMed]
- Koh, WJ; Abu-Rustum, NR; Bean, S; et al. Cervical cancer, version 3.2020, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 2020, 18, 660–687. [Google Scholar]
- Bhatla, N; Berek, JS; Cuello Fredes, M; et al. Revised FIGO staging for carcinoma of the cervix. Int J Gynaecol Obstet. 2019, 145, 129–135. [Google Scholar] [CrossRef] [PubMed]
- Covens, A; Rosen, B; Murphy, J; et al. Radical hysterectomy for cervical cancer: Surgical techniques and outcomes. Gynecol Oncol. 2002, 85, 139–145. [Google Scholar]
- Chemoradiotherapy for cervical cancer: The role of concurrent cisplatin. N Engl J Med. 1999, 340, 1144–1153. [CrossRef]
- Tewari, KS; Sill, MW; Long, HJ; et al. Improved survival with bevacizumab in advanced cervical cancer. N Engl J Med. 2014, 370, 734–743. [Google Scholar] [CrossRef]
- Chung, HC; Ros, W; Delord, JP; et al. Efficacy and safety of pembrolizumab in PD-L1–positive cervical cancer: Results from KEYNOTE-158. J Clin Oncol. 2019, 37, 1470–1478. [Google Scholar] [CrossRef]
- Garland, SM; Kjaer, SK; Muñoz, N; et al. Impact and effectiveness of the quadrivalent HPV vaccine: A systematic review. Lancet Infect Dis. 2016, 16, 983–996. [Google Scholar]
- Einstein, MH; Kadish, AS; Burk, RD. HPV therapeutic vaccines: Current status and future directions. Gynecol Oncol. 2020, 157, 715–723. [Google Scholar]
- Wentzensen, N; Clarke, MA; Brewer, NT. Biomarkers for cervical cancer screening. Lancet Oncol. 2019, 20, e573–e586. [Google Scholar] [CrossRef]
- Rosell, R; Carcereny, E; Gervais, R; et al. Erlotinib in lung cancer with EGFR mutations. N Engl J Med. 2009, 361, 947–957. [Google Scholar]
- Slamon, DJ; Leyland-Jones, B; Shak, S; et al. Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer. N Engl J Med. 2001, 344, 783–792. [Google Scholar] [CrossRef]
- Mateo, J; Carreira, S; Sandhu, S; et al. DNA-repair defects and olaparib in metastatic prostate cancer. N Engl J Med. 2015, 373, 1697–1708. [Google Scholar]
- Garraway, LA; Verweij, J; Ballman, KV. Precision oncology: An overview. J Clin Oncol. 2013, 31, 1803–1810. [Google Scholar] [PubMed]
- Wan, JCM; Massie, C; Garcia-Corbacho, J; et al. Liquid biopsies come of age: Towards implementation of circulating tumour DNA. Nat Rev Cancer. 2017, 17, 223–238. [Google Scholar]
- Alix-Panabières, C; Pantel, K. Clinical applications of circulating tumor cells and circulating tumor DNA as liquid biopsy. Cancer Discov. 2016, 6, 479–491. [Google Scholar] [CrossRef]
- Bettegowda, C; Sausen, M; Leary, RJ; et al. Detection of circulating tumor DNA in early- and late-stage human malignancies. Sci Transl Med. 2014, 6, 224ra24. [Google Scholar]
- McKinney, SM; Sieniek, M; Godbole, V; et al. International evaluation of an AI system for breast cancer screening. Nature. 2020, 577, 89–94. [Google Scholar]
- Urban, G; Tripathi, P; Alkayali, T; et al. Deep learning for real-time detection of polyps in colonoscopy. Gastroenterology. 2018, 155, 1069–1078. [Google Scholar] [CrossRef]
- Esteva, A; Robicquet, A; Ramsundar, B; et al. A guide to deep learning in healthcare. Nat Med. 2019, 25, 24–29. [Google Scholar] [PubMed]
- Keesara, S; Jonas, A; Schulman, K. COVID-19 and health care’s digital revolution. N Engl J Med. 2020, 382, e82. [Google Scholar] [PubMed]
- Topalian, SL; Hodi, FS; Brahmer, JR; et al. Safety, activity, and immune correlates of anti–PD-1 antibody in cancer. N Engl J Med. 2012, 366, 2443–2454. [Google Scholar]
- Maude, SL; Frey, N; Shaw, PA; et al. Chimeric antigen receptor T cells for sustained remissions in leukemia. N Engl J Med. 2014, 371, 1507–1517. [Google Scholar] [CrossRef]
- Emens, LA. Breast cancer immunotherapy: Facts and hopes. Clin Cancer Res. 2018, 24, 511–520. [Google Scholar] [CrossRef]
- Tewari, A; Peabody, JO; Hsu, TS; et al. Positive surgical margin and perioperative outcomes in robotic vs open radical prostatectomy. J Urol. 2012, 188, 2191–2197. [Google Scholar]
- Nam, JH; Kim, JH; Kim, KH; et al. Robot-assisted laparoscopic radical hysterectomy for early-stage cervical cancer. Lancet Oncol. 2012, 13, 174–180. [Google Scholar]
- Lacy, AM; García-Valdecasas, JC; Delgado, S; et al. Laparoscopy-assisted colectomy vs open colectomy for treatment of non-metastatic colon cancer: A randomized trial. Lancet. 2002, 359, 2224–2229. [Google Scholar] [CrossRef] [PubMed]
- Hasin, Y; Seldin, M; Lusis, A. Multi-omics approaches to disease. Genome Biol. 2017, 18, 83. [Google Scholar] [CrossRef]
- Topol, EJ. High-performance medicine: The convergence of human and artificial intelligence. Nat Med. 2019, 25, 44–56. [Google Scholar] [CrossRef]
- Sharma, P; Allison, JP. The future of immune checkpoint therapy. Science. 2015, 348, 56–61. [Google Scholar] [CrossRef]
- Brisson, M; Kim, JJ; Canfell, K; et al. Impact of HPV vaccination and screening on cervical cancer elimination: A comparative modeling study. Lancet. 2020, 395, 575–590. [Google Scholar] [CrossRef]
- Jha, P; Ramasundarahettige, C; Landsman, V; et al. 21st-century hazards of smoking and benefits of cessation in the United States. N Engl J Med. 2013, 368, 341–350. [Google Scholar] [CrossRef] [PubMed]
- Wild, CP; Weiderpass, E; Stewart, BW. World Cancer Report: Cancer Research for Cancer Prevention; IARC: Lyon, 2020. [Google Scholar]
- Allemani, C; Matsuda, T; Di Carlo, V; et al. Global surveillance of trends in cancer survival 2000–2014 (CONCORD-3): Analysis of individual records for 37,513,025 patients. Lancet. 2018, 391, 1023–1075. [Google Scholar]
- Sullivan, R; Alatise, OI; Anderson, BO; et al. Global cancer surgery: Delivering safe, affordable, and timely cancer surgery. Lancet Oncol. 2015, 16, 1193–1224. [Google Scholar] [CrossRef]
- Collins, FS; Varmus, H. A new initiative on precision medicine. N Engl J Med. 2015, 372, 793–795. [Google Scholar] [CrossRef]
- Hasin, Y; Seldin, M; Lusis, A. Multi-omics approaches to disease. Genome Biol. 2017, 18, 83. [Google Scholar] [CrossRef]
- Topol, EJ. High-performance medicine: The convergence of human and artificial intelligence. Nat Med. 2019, 25, 44–56. [Google Scholar] [CrossRef]
- Ribas, A; Wolchok, JD. Cancer immunotherapy using checkpoint blockade. Science. 2018, 359, 1350–1355. [Google Scholar] [CrossRef]
- Ioannidis, JP. Why most published research findings are false. PLoS Med. 2005, 2, e124. [Google Scholar] [CrossRef]
- Rothwell, PM. Factors that can affect the external validity of randomized controlled trials. PLoS Clin Trials. 2006, 1, e9. [Google Scholar] [CrossRef]
- Egger, M; Smith, GD; Phillips, AN. Meta-analysis: Principles and procedures. BMJ. 1997, 315, 1533–1537. [Google Scholar] [CrossRef]
- Bray, F; Laversanne, M; Weiderpass, E; Soerjomataram, I. The ever-increasing importance of cancer as a leading cause of premature death worldwide. Cancer Epidemiol. 2021, 71, 101842. [Google Scholar]
- Sung, H; Ferlay, J; Siegel, RL; et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide. CA Cancer J Clin. 2021, 71, 209–249. [Google Scholar]
- World Health Organization. Global strategy to accelerate the elimination of cervical cancer. 2020. [Google Scholar]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).