Evidence map›Paper›PMID 41126128›Full record

ArticleBMC cancer2025

Molecular predictors of treatment resistance and recurrence following neoadjuvant therapy in rectal cancer.

Fengyuan Huang, M Chandler McLeod, Regina K Irwin, Mary Smithson, Min Gao, Karin M Hardiman, Zechen Chong

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Fengyuan HuangDepartment of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
M Chandler McLeodDepartment of Surgery, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Regina K IrwinDepartment of Surgery, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Mary SmithsonDepartment of Surgery, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Min GaoDepartment of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
Karin M HardimanDepartment of Surgery, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35233, USA. khardiman@uabmc.edu.
Zechen ChongDepartment of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA. zchong@uabmc.edu.

Funding

UAB-HudsonAlpha Genomic Medicine Training ProgramT32HG008961 · NHGRI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Gregory Michael Cooper, Marguerite R Irvin · 2016 to 2026
$2.5M
A novel, transferable sialylation-mediated mechanism of chemoradioresistance in GI cancerR01CA265981 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Karin Marie Hardiman · 2022 to 2026
$1.9M
Intra-tumor Heterogeneity in Colorectal Cancer Progression and Treatment ResponseK08CA190645 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HARDIMAN, KARIN MARIE · 2016 to 2019
$700k
NCI NIH HHS K08 CA190645NCI NIH HHS L30 CA189003NCI NIH HHS R01 CA265981NCI NIH HHS R01CA265981NHGRI NIH HHS T32 HG008961NIGMS NIH HHS 5R35GM138212
6 · The paper itself

Abstract

Neoadjuvant chemoradiotherapy (nCRT) is the standard treatment for locally advanced rectal cancer, but only 20–40% of patients completely respond to this treatment. Pre-treatment predictors of response are understudied. To define the molecular features that are associated with response to nCRT, we compared genomic and transcriptomic data from 318 pre-treatment biopsies of microsatellite stable rectal cancers from our own data and from publicly available data. We found that patients with a complete response have decreased risk of both local recurrence and future metastasis. We identified multiple differences in DNA mutations and transcripts between complete and incomplete responders. Different genes contained significantly co-occurring and mutually exclusive mutations between CR and ICR tumors. In addition, complete responders had lower expression of genes enriched with multiple mechanisms of DNA repair indicating that defective DNA repair may be associated with complete response to nCRT. We developed a logistic regression model adjusted for tumor size, stage, and age to determine the relationship co-occurring mutations and tumor complete response and found that the number of certain co-occurring mutations to be highly predictive of CR. When we assessed for predictors of recurrence in incomplete responder tumors, abnormal cell–cell interaction and increased cancer associated fibroblasts were associated with recurrence. Additionally, gene expression analysis identified a subset of immune hot tumors with worse outcomes and upregulation of immune checkpoint proteins. These data provide additional understanding of the molecular features associated with response to nCRT and the underlying molecular differences in responders and non-responders.

Indexed as

Biomarkers, TumorDrug Resistance, NeoplasmNeoadjuvant TherapyNeoplasm Recurrence, LocalRectal NeoplasmsAgedFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedMutationPathologic Complete ResponsePrognosisTranscriptomeBiomarkers, TumorGenomic and transcriptomic characteristicsNeoadjuvant therapyRectal cancer

Identifiers

PMID41126128
PMCPMC12542088

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.