Characteristics, Effect of Histological Grade and Localization on the Prognosis of Colorectal Cancer. A retrospective Study.
AJTES Vol 6, No 2, July 2022
Cuadari E et al - Characteristics, Effects of Histological Grade and Localization on the Prognosis of Colorectal Cancer. A Retrospective Study.

Keywords

colorectal cancer
histological grade
disease-free survival.

How to Cite

Çuedari, E., Ikonomi, M., Pema (Kristo), A., & Tarifa, D. (2022). Characteristics, Effect of Histological Grade and Localization on the Prognosis of Colorectal Cancer. A retrospective Study. Albanian Journal of Trauma and Emergency Surgery, 6(2), 1033-1042. https://doi.org/10.32391/ajtes.v6i2.282

Abstract

Background: Colorectal cancer is the third most deadly cancer and the fourth most frequent in the world according to GLOBOCAN 2018. The number of new cases is growing up, which may also be related to lifestyle. Many studies have shown a difference in the number of males and females, correlation of localization, stage, and grade with prognosis.

Material and Methods: In our study were included operated cases with colorectal cancer in University Hospital Center “Mother Theresa” during the period from January 1, 2016, to December 31, 2017.

In our study, the total number of patients enrolled is 334. In the end was evaluated the correlation between histological grade, stage, and localization with prognosis.

Results: From the study resulted that males were affected more than females by colorectal cancer.

The average age of diagnosis of colorectal cancer is 63.9 (±12.4) years. Moderately differentiated adenocarcinoma, histological grade II and pathological stage pT3N0Mx after TNM are predominant.

The commonest localization is the rectum. Disease-free survival is better in stages I and IIa than in other stages, least favorable in poorly differentiated adenocarcinoma.

Conclusion: In Albania, patients diagnosed with CRC showed a low survival rate specific to cancer.

The type of histology, the stage of cancer, the level of CEA at diagnosis, and the type of treatment a patient received significantly determine the mortality rate.

Therefore, cancer screening programs can help to detect the disease at an early stage and initiate timely available treatments in order to extend the life expectancy of CRC patients.

https://doi.org/10.32391/ajtes.v6i2.282
Cuadari E et al - Characteristics, Effects of Histological Grade and Localization on the Prognosis of Colorectal Cancer. A Retrospective Study.

References

Fitzmaurice C., Allen C., Barber R.M., Barregard L., Bhutta Z.A., Brenner H. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 32 cancer groups, 1990 to 2015: a systematic analysis for the global burden of disease study. JAMA Oncol. 2017;3(4):524–548. Epub 2016/12/06.PubMed PMID: 27918777; PubMed Central PMCID: PMCPMC6103527. [PMC free article] [PubMed] [Google Scholar]

International Agency for Research on Cancer. Organization WH . 2020. Globocan. Cancer Fact Sheets, Global; p. 2020. [Google Scholar]

McCormack V.A., Boffetta P. Today's lifestyles, tomorrow's cancers: trends in lifestyle risk factors for cancer in low- and middle-income countries. Ann. Oncol. 2011;22(11):2349–2357. [PubMed] [Google Scholar]

Freddie Bray Isabelle S. Disease Control Priorities, Third Edition (Volume 3): Cancer. Disease Control Priorities. The World Bank; 2015. The changing global burden of cancer: transitions in human development and implications for cancer prevention and control; pp. 23–44. [Google Scholar]

Mallath M.K., Taylor D.G., Badwe R.A., Rath G.K., Shanta V., Pramesh C.S. The growing burden of cancer in India: epidemiology and social context. Lancet Oncol. 2014;15(6):e205–e212. [PubMed] [Google Scholar]

Popkin B.M., Adair L.S., Ng S.W. Global nutrition transition and the pandemic of obesity in developing countries. Nutr. Rev. 2012;70(1):3–21. [PMC free article] [PubMed] [Google Scholar]

Marsela Sina, Ilir Akshija, Skerdi Prifti, Adea Koçollari, Dorina Osmanaj, Altin Hysa Epidemiological Data on Colorectal Cancer in Albania, Epidemiological Data on Colorectal Cancer in Albania Vol. 49(2018): p. 10-17.

Tong GJ, Zhang GY, Liu J, Zheng ZZ, Chen Y, Niu PP, Xu XT. Comparison of the eighth version of the American Joint Committee on Cancer manual to the seventh version for colorectal cancer: A retrospective review of our data. World J Clin Oncol. 2018 Nov 10;9(7):148-161. doi: 10.5306/wjco.v9.i7.148. PMID: 30425940; PMCID: PMC6230917.

Trichopoulou A, Lagiou P, Kuper H, Trichopoulos D. Cancer and Mediterranean dietary traditions. Cancer Epidemiol Biomarkers Prev. 2000 Sep;9(9):869-73. PMID: 11008902.

Manxhuka-Kerliu S, Telaku S, Ahmetaj H, Baruti A, Loxha S, Kerliu A. Colorectal cancer: prognostic values. Bosn J Basic Med Sci. 2009 Feb;9(1):19-24. doi: 10.17305/bjbms.2009.2851. PMID: 19284390; PMCID: PMC5645542.

Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424. [PubMed] [Google Scholar] [Ref list]

Altobelli E, D'Aloisio F, Angeletti PM. Colorectal cancer screening in countries of European Council outside of the EU-28. World J Gastroenterol. 2016 May 28;22(20):4946-57. doi: 10.3748/wjg.v22.i20.4946. PMID: 27239121; PMCID: PMC4873887.

Ferlay J, Ervik M, Lam F, et al. Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer; 2018. Available from: http://gco.iarc.fr/today/data/factsheets/cancers/10_8_9-Colorectum-fact-sheet.pdf, accessed 02 November 2018. [Google Scholar] [Ref list]

Widdison A.L., Barnett S.W., Betambeau N. The impact of age on outcome after surgery for colorectal adenocarcinoma. Ann. R. Coll. Surg. Engl. 2011;93(6):445–450. [PMC free article] [PubMed] [Google Scholar] [Ref list]

Teng A., Lee D.Y., Cai J., Patel S.S., Bilchik A.J., Goldfarb M.R. Patterns and outcomes of colorectal cancer in adolescents and young adults. J Surg Res [Internet] 2016;205(1):19–27. doi: 10.1016/j.jss.2016.05.036. Available from: [PubMed] [CrossRef] [Google Scholar] [Ref list]

Howlader, N., Noone, A.M., Krapcho. M., et al. (2017) SEER Cancer Statistics Review, 1975-2014. National Cancer Institute, Bethesda, MD.

https://seer.cancer.gov/csr/1975_2014

Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database: Incidence – SEER 18 Regs Research Data with Delay-Adjustment, Malignant Only, Nov 2015 Sub (2000-2013) - Linked To County Attributes – Total U.S., 1969-2014 Counties, National Cancer Institute, DCCPS, Surveillance Research Program, Surveillance Systems Branch, released April 2016., 2016.

Zahir Ahmed S, Cirocchi N, Saxton E, Brown MK. Incidence of age migration of colorectal cancer in younger population: Retrospective single centred-population based cohort study. Ann Med Surg (Lond). 2021 Dec 29;74:103214. doi: 10.1016/j.amsu.2021.103214. PMID: 35127063; PMCID: PMC8792069.

Virostko J, Capasso A, Yankeelov TE, Goodgame B. Recent trends in the age at diagnosis of colorectal cancer in the US National Cancer Data Base, 2004-2015. Cancer. 2019 Nov 1;125(21):3828-3835. doi: 10.1002/cncr.32347. Epub 2019 Jul 22. PMID: 31328273; PMCID: PMC6788938.

Ferlay J SI, Ervik M, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin DM, Forman D, Bray, F. GLOBOCAN 2012 v1.0, Cancer Incidence and Mortality Worldwide: IARC CancerBase No. 11 [Internet] Lyon, France: International Agency for Research on Cancer; 2013. [Google Scholar] [Ref list]

Tamakoshi A, Nakamura K, Ukawa S, Okada E, Hirata M, Nagai A, Matsuda K, Kamatani Y, Muto K, Kiyohara Y, Yamagata Z, Ninomiya T, Kubo M, Nakamura Y; BioBank Japan Cooperative Hospital Group. Characteristics and prognosis of Japanese colorectal cancer patients: The BioBank Japan Project. J Epidemiol. 2017 Mar;27(3S):S36-S42. doi: 10.1016/j.je.2016.12.004. Epub 2017 Feb 15. Erratum in: J Epidemiol. 2017 Aug;27(8):398-399. PMID: 28214186; PMCID: PMC5350596.

Stewart SL, Wike JM, Kato I, Lewis DR, Michaud F. A population-based study of colorectal cancer histology in the United States, 1998-2001. Cancer. 2006 Sep 1;107(5 Suppl):1128-41. doi: 10.1002/cncr.22010. PMID: 16802325.

Kim SE, Paik HY, Yoon H, Lee JE, Kim N, Sung MK. Sex- and gender-specific disparities in colorectal cancer risk. World J Gastroenterol. 2015 May 7;21(17):5167-75. doi: 10.3748/wjg.v21.i17.5167. PMID: 25954090; PMCID: PMC4419057.

Moore, Kevin J.; Sussman, Daniel A.; Koru-Sengul, Tulay; Age-Specific Risk Factors for Advanced Stage Colorectal Cancer, 1981–2013, Prev Chronic Dis. 15. URL: https://stacks.cdc.gov/view/cdc/58953

Cheung WY, Shi Q, O'Connell M, Cassidy J, Blanke CD, Kerr DJ, Meyers J, Van Cutsem E, Alberts SR, Yothers G, Sargent DJ; ACCENT Collaborative Group. The predictive and prognostic value of sex in early-stage colon cancer: a pooled analysis of 33,345 patients from the ACCENT database. Clin Colorectal Cancer. 2013 Sep;12(3):179-87. doi: 10.1016/j.clcc.2013.04.004. Epub 2013 Jun 27. PMID: 23810482; PMCID: PMC3760214.

Cassia B Wang, Amit Merchea, Faisal Shahjehan, Dorin Colibaseanu, Jordan Cochuyt, Zhuo Li, and Pashtoon Murtaza Kasi Journal of Clinical Oncology 2018 36:15_suppl, e15651-e15651 DOI: 10.1200/JCO.2018.36.15_suppl.e15651

Alnimer Y, Ghamrawi R, Aburahma A, Salah S, Rios-Bedoya C, Katato K. Factors associated with short recurrence-free survival in completely resected colon cancer. J Community Hosp Intern Med Perspect. 2017 Dec 14;7(6):341-346. doi: 10.1080/20009666.2017.1407210. PMID: 29296245; PMCID: PMC5738643.

Trabelsi M, Farah F, Zouari B, Jaafoura MH, Kharrat M. An Immunoscore System Based On CD3+ And CD8+ Infiltrating Lymphocytes Densities To Predict The Outcome Of Patients With Colorectal Adenocarcinoma. Onco Targets Ther. 2019 Oct 21;12: 8663-8673. doi: 10.2147/OTT.S211048. PMID: 31695425; PMCID: PMC6814319.

Saha S, Shaik M, Johnston G, Saha SK, Berbiglia L, Hicks M, Gernand J, Grewal S, Arora M, Wiese D. Tumor size predicts long-term survival in colon cancer: an analysis of the National Cancer Data Base. Am J Surg. 2015 Mar;209(3):570-4. doi: 10.1016/j.amjsurg.2014.12.008. Epub 2014 Dec 23. PMID: 25601557.

Greene FL, Stewart AK, Norton HJ. A new TNM staging strategy for node-positive (stage III) colon cancer: an analysis of 50,042 patients. Ann Surg. 2002 Oct;236(4):416-21; discussion 421. doi: 10.1097/00000658-200210000-00003. PMID: 12368669; PMCID: PMC1422595.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.