ArticleMedical journal, Armed Forces India2022
Evaluating morphological features for predicting microsatellite instability status in colorectal cancer.
Article in Medical journal, Armed Forces India, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 8 citations in OpenAlex.
- Histopathologic clues to mismatch repair deficiency in colon adenocarcinoma: the role of mucinous component and intratumoral/Crohn-like immune response.BMC gastroenterology · 2026Article
- Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology.NPJ precision oncology · 2024Article
- Comparison of Microsatellite Instability With Clinicopathologic Data in Patients With Colon Adenocarcinoma.Cureus · 2024Article
- Artificial intelligence for quantifying Crohn's-like lymphoid reaction and tumor-infiltrating lymphocytes in colorectal cancer.Computational and structural biotechnology journal · 2022Article
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5 authors at 3 institutions in 1 country.
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Abstract
Background: Colorectal cancer (CRC) is one of the commonest cancers worldwide, with incidence rates in India being around 4%. It is a heterogeneous disease with multiple established prognostic factors. Ten to fifteen percent originate from microsatellite instability (MSI) pathway, characterized by defect in mismatch repair (MMR) gene. Identification of MMR defective protein is relevant for diagnosis, prognosis, and prediction. Certain clinical and histological features are known to be associated with defective MMR genes. The objectives of this study are to find the prevalence of MSI in CRC to identify features associated with MSI and assess the value of histopathology in predicting MSI. Methods: We evaluated various clinical and histological parameters for identifying prognostically favorable colon cancers in a tertiary hospital. One hundred fifty colon cancers were evaluated, and MSI status was correlated with clinicopathologic variables. Results: The prevalence of MSI in CRC was found to be 11.3%. The factors associated with MSI were tumor differentiation, stage, tumor site, tumor size, tumor-infiltrating lymphocytes, Crohn's-like lymphoid reaction, and dirty necrosis. We have defined a "P" score for prediction of MSI using the clinicohistological parameters, which could be used to select patients who are to be tested for MSI. Conclusion: Assessment of clinical and histopathological features will help in patient stratification and selection of patients for MSI testing. The evaluation is economical, reproducible, and easy to apply.
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