Literature DB >> 30935775

Tumor Heterogeneity as a Predictor of Response to Neoadjuvant Chemotherapy in Locally Advanced Rectal Cancer.

Alissa Greenbaum1, David R Martin2, Thèrése Bocklage3, Ji-Hyun Lee4, Scott A Ness5, Ashwani Rajput6.   

Abstract

BACKGROUND: Neoadjuvant chemoradiotherapy (nCRT) is the standard of care for locally advanced adenocarcinoma of the rectum, but it is currently unknown which patients have disease that will respond. This study tested the correlation between response to nCRT and intratumoral heterogeneity using next-generation sequencing assays. PATIENTS AND METHODS: DNA was extracted from formalin-fixed, paraffin-embedded biopsy samples from a cohort of patients with locally advanced rectal adenocarcinoma (T3/4 or N1/2 disease) who received nCRT. High read-depth sequencing of > 400 cancer-relevant genes was performed. Tumor mutations and variant allele frequencies were used to calculate mutant-allele tumor heterogeneity (MATH) scores as measures of intratumoral heterogeneity. Response to nCRT was pathologically scored after surgical resection.
RESULTS: Biopsy samples from 21 patient tumors were analyzed. Eight patients had disease noted to have complete response, 2 moderate, 4 minimal, and 7 poor. Higher MATH scores correlated with poorer response to treatment, demonstrating significantly increased tumor heterogeneity compared to complete response (P = .039).
CONCLUSION: The application of MATH scores as a measure of tumor heterogeneity may provide a useful biomarker for treatment response in locally advanced rectal cancer.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Colorectal cancer; Personalized medicine; Targeted sequencing; Translational research

Mesh:

Substances:

Year:  2019        PMID: 30935775      PMCID: PMC6556409          DOI: 10.1016/j.clcc.2019.02.003

Source DB:  PubMed          Journal:  Clin Colorectal Cancer        ISSN: 1533-0028            Impact factor:   4.481


  29 in total

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Journal:  N Engl J Med       Date:  2004-10-21       Impact factor: 91.245

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Authors:  Cornelis J A Punt; Miriam Koopman; Louis Vermeulen
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Authors:  Raymond H Mak; Ellen P McCarthy; Prajnan Das; Theodore S Hong; Harvey J Mamon; Karen E Hoffman
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-10-18       Impact factor: 7.038

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6.  MATH, a novel measure of intratumor genetic heterogeneity, is high in poor-outcome classes of head and neck squamous cell carcinoma.

Authors:  Edmund A Mroz; James W Rocco
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10.  High Intra- and Inter-Tumoral Heterogeneity of RAS Mutations in Colorectal Cancer.

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Journal:  Int J Mol Sci       Date:  2016-12-01       Impact factor: 5.923

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Journal:  Eur Radiol       Date:  2021-02-10       Impact factor: 5.315

2.  Value of combined multiparametric MRI and FDG-PET/CT to identify well-responding rectal cancer patients before the start of neoadjuvant chemoradiation.

Authors:  Niels W Schurink; Lisa A Min; Maaike Berbee; Wouter van Elmpt; Joost J M van Griethuysen; Frans C H Bakers; Sander Roberti; Simon R van Kranen; Max J Lahaye; Monique Maas; Geerard L Beets; Regina G H Beets-Tan; Doenja M J Lambregts
Journal:  Eur Radiol       Date:  2020-02-07       Impact factor: 5.315

3.  Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study.

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Review 5.  Use of Single-Cell -Omic Technologies to Study the Gastrointestinal Tract and Diseases, From Single Cell Identities to Patient Features.

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6.  Development and validation of MRI-based deep learning models for prediction of microsatellite instability in rectal cancer.

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7.  Preoperative prediction of perineural invasion with multi-modality radiomics in rectal cancer.

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Review 8.  Role of MRI‑based radiomics in locally advanced rectal cancer (Review).

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9.  Intra-Tumoral Genomic Heterogeneity in Rectal Cancer: Mutational Status Is Dependent on Preoperative Biopsy Depth and Location.

Authors:  Floris A Vuijk; Carlijn van de Water; Shannon Lent-van Vliet; Maxime J M van der Valk; Femke Simmer; Cornelis J H van de Velde; Alexander L Vahrmeijer; Iris D Nagtegaal; Denise E Hilling
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  9 in total

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