Submitted:
09 October 2024
Posted:
09 October 2024
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Eikenboom EL, van der Werf-‘t Lam AS, Rodríguez-Girondo M, Van Asperen CJ, Dinjens WNM, Hofstra RMW, Van Leerdam ME, Morreau H, Spaander MCW, Wagner A, Nielsen M. Universal Immunohistochemistry for Lynch Syndrome: A Systematic Review and Meta-analysis of 58,580 Colorectal Carcinomas. Clin Gastroenterol Hepatol 2022, 20, e496–e507. [Google Scholar] [CrossRef] [PubMed]
- Cervantes B, André T, Cohen R. Deficient mismatch repair/microsatellite unstable colorectal cancer: therapeutic advances and questions. Ther Adv Med Oncol 2024, 16, 17588359231170473. [Google Scholar] [CrossRef] [PubMed]
- Mendonça Gorgulho C, Krishnamurthy A, Lanzi A, Galon J, Housseau F, Kaneno R, Lotze MT. Gutting it Out: Developing Effective Immunotherapies for Patients With Colorectal Cancer. J Immunother 2021, 44, 49–62. [Google Scholar] [CrossRef] [PubMed]
- Samowitz WS, Curtin K, Lin HH, Robertson MA, Schaffer D, Nichols M, Gruenthal K, Leppert MF, Slattery ML. The colon cancer burden of genetically defined hereditary nonpolyposis colon cancer. Gastroenterology 2001, 121, 830–8. [Google Scholar] [CrossRef] [PubMed]
- Mahmoud, NN. Colorectal Cancer: Preoperative Evaluation and Staging. Surg Oncol Clin N Am 2022, 31, 127–141. [Google Scholar] [CrossRef] [PubMed]
- Haron NH, Mohamad Hanif EA, Abdul Manaf MR, Yaakub JA, Harun R, Mohamed R, Mohamed Rose I. Microsatellite Instability and Altered Expressions of MLH1 and MSH2 in Gastric Cancer. Asian Pac J Cancer Prev 2019, 20, 509–517. [Google Scholar] [CrossRef] [PubMed]
- Aiyer KTS, Doeleman T, Ryan NA, Nielsen M, Crosbie EJ, Smit VTHBM, Morreau H, Goeman JJ, Bosse T. Validity of a two-antibody testing algorithm for mismatch repair deficiency testing in cancer; a systematic literature review and meta-analysis. Mod Pathol 2022, 35, 1775–1783. [Google Scholar] [CrossRef] [PubMed]
- Luchini C, Bibeau F, Ligtenberg MJL, Singh N, Nottegar A, Bosse T, Miller R, Riaz N, Douillard JY, Andre F, Scarpa A. ESMO recommendations on microsatellite instability testing for immunotherapy in cancer, and its relationship with PD-1/PD-L1 expression and tumour mutational burden: a systematic review-based approach. Ann Oncol 2019, 30, 1232–1243. [Google Scholar] [CrossRef] [PubMed]
- Colon and Rectum Biomarker Reporting, College of American Pathologists. Available at: https://documents.cap.org/protocols/ColoRectal.Bmk_1.3.0.0.REL_CAPCP.pdf?_gl=1*20ehoq*_ga*MjEzMzc5MzcxMi4xNjkyODk0MDIy*_ga_97ZFJSQQ0X*MTY5Mjg5NDAyMS4xLjAuMTY5Mjg5NDAyOS4wLjAuMA. Access verified august 2023.
- Hanley JA, McNeil BJ. The meaning and use of the area under a Receiver Operating Characteristic (ROC) curve. Radiology 1982, 143, 29–36. [Google Scholar] [CrossRef] [PubMed]
- Eso Y, Shimizu T, Takeda H, Takai A, Marusawa H. Microsatellite instability and immune checkpoint inhibitors: Toward precision medicine against gastrointestinal and hepatobiliary cancers. J Gastroenterol 2020, 55, 15–26. [Google Scholar] [CrossRef] [PubMed]
- Lee CT, Chow NH, Chen YL, Ho CL, Yeh YM, Lin SC, Lin PC, Lin BW, Chu CA, Tsai HW, Lee JC. Clinicopathological features of mismatch repair protein expression patterns in colorectal cancer. Pathol Res Pract 2021, 217, 153288. [Google Scholar] [CrossRef] [PubMed]
- Chen L, Chen G, Zheng X, Chen Y. Expression status of four mismatch repair proteins in patients with colorectal cancer: clinical significance in 1238 cases. Int J Clin Exp Pathol 2019, 12, 3685–3699. [Google Scholar]
- Battaglin F, Naseem M, Lenz HJ, Salem ME. Microsatellite instability in colorectal cancer: overview of its clinical significance and novel perspectives. Clin Adv Hematol Oncol 2018, 16, 735–745. [Google Scholar]
- Martínez-Roca A, Giner-Calabuig M, Murcia O, Castillejo A, Soto JL, García-Heredia A, Jover R. Lynch-like Syndrome: Potential Mechanisms and Management. Cancers (Basel) 2022, 14, 1115. [Google Scholar] [CrossRef] [PubMed]
- Cheah PL, Looi LM, Horton S. Cost Analysis of Operating an Anatomic Pathology Laboratory in a Middle-Income Country. Am J Clin Pathol 2017, 149, 1–7. [Google Scholar]
- Neil A, Pfeffer S, Burnett L, BiPAC. Benchmarking in pathology: developing a benchmarking complexity unit and associated key performance indicators. Pathology 2013, 45, 66–70. [Google Scholar]


| Parameter | Four-antibody test, % (95% confidence interval) |
Two-antibody test, % (95% confidence interval) |
|---|---|---|
| Correctly diagnosed patients | 98.02 (94.58-99.36) | 96.53 (92.70-98.47) |
| Sensibility | 95.35 (82.94-99.19) | 90.70 (76.95-96.98) |
| Specificity | 98.74 (95.06-99.78) | 98.11 (94.15-99.51) |
| Positive predictive value | 95.35 (82.94-99.19) | 92.86 (79.45-98.14) |
| Negative predictive value | 98.74 (95.06-99.78) | 97.50 (93.32-99.20) |
| Positive likelihood ratio | 75.80 (19.09-300.94) | 48.07 (15.61-148.06) |
| Negative likelihood ratio | 0.05 (0.01-0.18) | 0.09 (15.61-148.06) |
| Area under the curve (AUC)* | 0.970 (.933-1.000) | 0.944 (.892-.996) |
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