{"title":"Evaluation of Applicability of Tumor Budding and Poorly Differentiated Clusters as Additional Prognostic Markers in Colorectal Cancers.","authors":"Sagarika Sarkar, Rena Guha, Sudipta Chakrabarti","doi":"10.1055/s-0044-1788050","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Very few studies have assessed tumor budding (TB) and poorly differentiated cell clusters (PDCs) simultaneously in colorectal cancers (CRCs). The goal of this study was to establish a correlation between these two pertinent histological features and to reinforce the importance of their incorporation in routine histopathological reporting of CRC cases as a means to predict clinical outcome.</p><p><strong>Methods: </strong>Resection specimens of colorectal carcinoma were included in the study. Patients who received presurgical therapy, or refused consent were excluded. PDC and TB were evaluated in routine hematoxylin and eosin-stained histopathological sections taken from the advancing edge of the tumor. TB and PDC were reported by selecting a \"hotspot\" chosen after review of all available slides with invasive tumor. It was then followed by their correlation with other known prognostic factors.</p><p><strong>Results: </strong>Spearman's rho calculator for strength of association between TB and PDC as well as association of TB and PDC individually with known prognostic factors revealed statistical significance. Correlation of TB and PDC with histologic grade, primary tumor (pT), and regional lymph node (pN) stage was done based on one-way analysis of variance calculator, which yielded statistically significant results.</p><p><strong>Conclusion: </strong>Evaluation of these two histological parameters in the same hotspot field at the tumor invasive front plays a fundamental role in the definition of cancer aggressiveness and prediction of tumor behavior.</p>","PeriodicalId":22053,"journal":{"name":"South Asian Journal of Cancer","volume":"13 4","pages":"315-319"},"PeriodicalIF":0.8000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11888805/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"South Asian Journal of Cancer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1055/s-0044-1788050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: Very few studies have assessed tumor budding (TB) and poorly differentiated cell clusters (PDCs) simultaneously in colorectal cancers (CRCs). The goal of this study was to establish a correlation between these two pertinent histological features and to reinforce the importance of their incorporation in routine histopathological reporting of CRC cases as a means to predict clinical outcome.
Methods: Resection specimens of colorectal carcinoma were included in the study. Patients who received presurgical therapy, or refused consent were excluded. PDC and TB were evaluated in routine hematoxylin and eosin-stained histopathological sections taken from the advancing edge of the tumor. TB and PDC were reported by selecting a "hotspot" chosen after review of all available slides with invasive tumor. It was then followed by their correlation with other known prognostic factors.
Results: Spearman's rho calculator for strength of association between TB and PDC as well as association of TB and PDC individually with known prognostic factors revealed statistical significance. Correlation of TB and PDC with histologic grade, primary tumor (pT), and regional lymph node (pN) stage was done based on one-way analysis of variance calculator, which yielded statistically significant results.
Conclusion: Evaluation of these two histological parameters in the same hotspot field at the tumor invasive front plays a fundamental role in the definition of cancer aggressiveness and prediction of tumor behavior.