Evidence map›Paper›PMID 41229498›Full record

ReviewFrontiers in oncology2025

Integrated molecular and microenvironmental drivers of drug resistance in gastrointestinal cancers: mechanisms, immunotherapy challenges, and precision strategies.

Heng Xu, Jiaan Lu, Jiangying Wu, Kangling Zhang, Xuancheng Zhou, Ziqi Gao, Jingqi Feng, Ziye Zhuang, Xiaolin Zhong

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

9 authors.

Heng Xu *Clinical Medical College, Southwest Medical University, Luzhou, China.
Jiaan Lu *Clinical Medical College, Southwest Medical University, Luzhou, China.
Jiangying Wu *Clinical Medical College, Southwest Medical University, Luzhou, China.
Kangling ZhangClinical Medical College, Southwest Medical University, Luzhou, China.
Xuancheng ZhouClinical Medical College, Southwest Medical University, Luzhou, China.
Ziqi GaoClinical Medical College, Southwest Medical University, Luzhou, China.
Jingqi FengClinical Medical College, Southwest Medical University, Luzhou, China.
Ziye ZhuangFirst Clinical Medical College, Guangdong Medical University, Zhanjiang, Guangdong, China.
Xiaolin ZhongDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistance to chemotherapy, targeted agents, and particularly immunotherapy remains the principal challenge in the management of gastrointestinal malignancies. This review aims to comprehensively delineate the molecular and microenvironmental drivers of resistance, with emphasis on mechanisms impacting immunotherapy response, and evaluate emerging, mechanism-guided interventions (including immunotherapeutic combinations) for precision therapy. We first examine intrinsic mechanisms-including drug-target alterations, dysregulated drug metabolism and efflux, hyperactivation of DNA damage repair pathways, and epigenetic remodeling-and extrinsic influences stemming from the tumor microenvironment and extracellular matrix remodeling. We then highlight epithelial-mesenchymal transition (EMT) as a critical nexus that integrates stromal cues with cell-intrinsic survival programs, thereby promoting drug efflux and immune evasion. Next, we discuss how single-cell and spatial omics, liquid biopsy, patient-derived organoids, and AI-enabled analytics facilitate subclone-level mapping of resistance networks and real-time tracking of clonal evolution. Finally, we review mechanism-based strategies-including KRAS G12C inhibitors, efflux-pump antagonists, apoptosis reactivators, and epigenetic/autophagy modulators-and propose an integrated, multimodal regimen leveraging immunotherapy where appropriate, informed by real-time drug sensitivity data (e.g., from liquid biopsy), dynamic biomarkers and AI-driven optimization to overcome resistance and improve patient outcomes.

Indexed as

artificial intelligence (AI)cancerdrug resistancedrug sensitivity profilingmolecular mechanismsprecision oncologytherapeutic strategiestumor microenvironment (TME)

Identifiers

PMID41229498
PMCPMC12602247

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.