Volume : 09, Issue : 10, October – 2022

Title:

85.THE RISK OF COLORECTAL CANCER IN PATIENTS WITH TYPE 2 DIABETES: ASSOCIATIONS WITH TREATMENT STAGE AND OBESITY
‬

Authors :

Talha Bin Awan, Rana Waleed Khan, Muhammad Hamza Anjum Akhtar

Abstract :

Aim: Colorectal risk of colon cancer in type 2 diabetic patients: correlations between treatment session and obesity. To evaluate the risk of cardiovascular diseases linked associated type 2 diabetes to that of a nondiabetic control group, as well as to investigate other correlations among stages of treatment and term of obesity also colorectal cancer danger.
Methods: Inside the Clinical Practice Research Datalink, researchers performed observed population-based prospective research (from May 2021–April 2022). Altogether individuals (17 years) having at least one medication for an anti-diabetic medicine (n = 305,045) were matched (1:1) by birth year, gender, in addition rehearsal to the control group that did not have diabetes. The relative risk ratios for colorectal cancer related to type 2 diabetes reported calculated using Cox proportional hazards models. Colorectal cancer correlations between treatment phases and persistence of obesity (BMI 32 kg/m2) have been evaluated in the diabetic population.
RESULTS: The diabetic research team had 2,762 instances of colorectal cancer after one average follow-up of 5.6 years. Type 2 diabetes has been linked to an elevated chance of developing colorectal cancer by 1.4 times (HR 1.27 [96% CI 1.19-1.34]). There was no correlation between treatment phases and diabetes individuals. Followed by periods of obesity that were linked to a higher likelihood of colorectal cancer. Individuals who had a history of obesity for 5-9 years (HR 1.18 [1.07-1.35]) and more than 9 years had a substantially higher chance of developing colorectal cancer (1.29 [1.12–1.48]).
Conclusion: TDM type-2 is linked to the slightly higher chance of developing colorectal cancer. Obesity has been linked to a greater likelihood of diabetes amongst diabetic individuals who had been obese for four years or more.
Keywords: Risk of Colorectal Cancer, Type 2 Diabetes, Obesity.

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References:

1. Siegel RL, Miller KD. Cancer statistics. CA Cancer J Clin. 2019;69:7–34. https://doi.org/10.3322/caac.21551.
2. The National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines in Oncology, Rectal Cancer. Version 3.2021, <https://www.nccn.org/professionals/physician_gls/pdf/rectal.pdf> (2021).
3. The National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines in Oncology, Colon Cancer. Version 2.2021, <https://www.nccn.org/professionals/physician_gls/pdf/colon.pdfc> ( 2021).
4. ESMO consensus guidelines for the management of patients with metastatic colorectal cancer, <https://www.annalsofoncology.org/article/S0923-7534(19)34754-4/pdf> (2016).
5. Chibaudel B, et al. Therapeutic strategy in unresectable metastatic colorectal cancer: an updated review. CA Cancer J Clin. 2015;7:153–69. https://doi.org/10.1177/1758834015572343.
6. Brahmer J, et al. Nivolumab versus docetaxel in advanced squamous-cell non-small-cell lung cancer. N Engl J Med. 2015;373:123–35. https://doi.org/10.1056/NEJMoa1504627.
7. Robert C, et al. Ipilimumab plus dacarbazine for previously untreated metastatic melanoma. N Engl J Med. 2011;364:2517–26. https://doi.org/10.1056/NEJMoa1104621.
8. Wolchok JD, et al. CheckMate 067: 6.5-year outcomes in patients (pts) with advanced melanoma. J Clin Oncol. 2021;39:9506–9506. https://doi.org/10.1200/JCO.2021.39.15_suppl.9506
9. Antonia SJ, et al. Durvalumab after chemoradiotherapy in stage III non-small-cell lung cancer. N Engl J Med. 2017;377:1919–29. https://doi.org/10.1056/NEJMoa1709937.
10. Le DT, Durham JN. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science. 2017;357:409–13. https://doi.org/10.1126/science.aan6733.
11. Benatti P, et al. Microsatellite instability and colorectal cancer prognosis. Clin Cancer Res. 2005;11:8332–40. https://doi.org/10.1158/1078-0432.ccr-05-1030.
12. Venderbosch S, et al. Mismatch repair status and BRAF mutation status in metastatic colorectal cancer patients: a pooled analysis of the CAIRO, CAIRO2, COIN, and FOCUS studies. Clin Cancer Res. 2014;20:5322–30. https://doi.org/10.1158/1078-0432.ccr-14-0332.
13. André T, et al. Adjuvant Fluorouracil, leucovorin, and oxaliplatin in stage II to III colon cancer: updated 10-year survival and outcomes according to BRAF mutation and mismatch repair status of the MOSAIC study. J Clin Oncol. 2015;33:4176–87. https://doi.org/10.1200/jco.2015.63.4238.
14. Stadler ZK, et al. Reliable detection of mismatch repair deficiency in colorectal cancers using mutational load in next-generation sequencing panels. J Clin Oncol. 2016;34:2141–7. https://doi.org/10.1200/jco.2015.65.1067.
15. The Cancer Genome Atlas Network. Comprehensive molecular characterization of human colon and rectal cancer. Nature. 2012;487:330–7. https://doi.org/10.1038/nature11252.
16. Maby P, et al. Correlation between density of CD8+ T-cell infiltrate in microsatellite unstable colorectal cancers and frameshift mutations: a rationale for personalized immunotherapy. Can Res. 2015;75:3446–55. https://doi.org/10.1158/0008-5472.can-14-3051.
17. Marisa L, et al. The balance between cytotoxic T-cell lymphocytes and immune checkpoint expression in the prognosis of colon tumors. J Natl Cancer Inst. 2018. https://doi.org/10.1093/jnci/djx136.
18. Llosa NJ, et al. The vigorous immune microenvironment of microsatellite instable colon cancer is balanced by multiple counter-inhibitory checkpoints. Cancer Discov. 2015;5:43–51. https://doi.org/10.1158/2159-8290.cd-14-0863.
19. Marabelle A, et al. Association of tumour mutational burden with outcomes in patients with advanced solid tumours treated with pembrolizumab: prospective biomarker analysis of the multicohort, open-label, phase 2 KEYNOTE-158 study. Lancet Oncol. 2020;21:1353–65. https://doi.org/10.1016/s1470-2045(20)30445-9.
20. Samstein RM, Lee CH, Shoushtari AN. Tumor mutational load predicts survival after immunotherapy across multiple cancer types. Nat Genet. 2019;51:202–6. https://doi.org/10.1038/s41588-018-0312-8.
21. Cristescu R. Pan-tumor genomic biomarkers for PD-1 checkpoint blockade-based immunotherapy. Nat Genet. 2018. https://doi.org/10.1126/science.aar3593.
22. Loboda A, et al. Pembrolizumab for the treatment of non-small-cell lung cancer. Science (New York, NY). 2015;372:2018–28. https://doi.org/10.1056/NEJMoa1501824.