Literature DB >> 34530256

Can histologic features predict neoadjuvant therapy response in rectal adenocarcinoma?

Yuho Ono1, Justin M M Cates2, Raul S Gonzalez3.   

Abstract

Current standard therapy for locally advanced rectal cancer (LARC) is neoadjuvant therapy followed by surgical resection; however, treatment response is variable among patients. This study aimed to identify histologic features that predict tumor response. This retrospective study included 105 patients with LARC, all of whom underwent biopsy followed by neoadjuvant therapy and subsequent surgical resection. Each patient's initial biopsy was evaluated for tumor grade, tumor budding, intraepithelial lymphocytes, intraepithelial neutrophils, desmoplasia, apoptosis, adjacent stromal lymphocytes, signet ring cells, mucinous features, tumoral Paneth cells, dirty necrosis, microscopic ulceration, and prominent lymphoid aggregates. These histologic features, along with patient age at diagnosis and tumor microsatellite status, were compared to tumor regression grades from the respective resection specimens. No histologic factors in tumor biopsies predictive of treatment response in post-therapy resection specimens were identified. Histologic features in pre-therapy biopsy samples of LARC do not predict subsequent response to neoadjuvant therapy. Effective and reliable methods to predict response to neoadjuvant therapy in rectal cancer remain elusive.
Copyright © 2021 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Histology; Locally advanced rectal cancer; Neoadjuvant therapy; Pathologic complete response; Prediction

Mesh:

Year:  2021        PMID: 34530256     DOI: 10.1016/j.prp.2021.153608

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  1 in total

1.  Machine Learning of Histomorphological Features Predict Response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer.

Authors:  Anqi Wang; Ruiqi Ding; Jing Zhang; Beibei Zhang; Xiaolin Huang; Haiyang Zhou
Journal:  J Gastrointest Surg       Date:  2022-08-01       Impact factor: 3.267

  1 in total

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