Evidence map›Paper›PMID 41958668›Full record

ReviewFrontiers in immunology2026

Multidimensional tumor heterogeneity and its role in therapeutic resistance.

Nida Mubin, Mohammed Alnukhali, Nayab Ahmad, James Joseph Driscoll, Anis Ahmad

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Integrating multi-omics data for next-generation cancer research and precision medicine.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. 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

5 authors.

Nida Mubin *Division of Hematology Oncology, Case Western Reserve University School of Medicine, Cleveland, OH, United States.
Mohammed Alnukhali *Department of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, Miami, FL, United States.
Nayab AhmadDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, Miami, FL, United States.
James Joseph DriscollDivision of Hematology Oncology, Case Western Reserve University School of Medicine, Cleveland, OH, United States.
Anis AhmadDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Sylvester Comprehensive Cancer Center, Miami, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor heterogeneity is a fundamental driver of therapeutic resistance across solid malignancies, arising from genetic, epigenetic, phenotypic, spatial, temporal, and microenvironmental diversity. In tumors developing at mucosal barrier sites, these heterogeneous features are further shaped by the unique immunological context of mucosal tissues, where immune tolerance, chronic inflammation, and continuous antigen exposure create permissive environments for immune escape and adaptive resistance. Accumulating evidence indicates that myeloid cell plasticity, including functional diversification of granulocytes, macrophages, monocytes, and dendritic cells, represents a critical interface between tumor-intrinsic heterogeneity and mucosal immune regulation. These myeloid populations contribute to spatially organized immunosuppressive niches, altered antigen processing and presentation, and therapy-induced immune remodeling, collectively influencing responses to chemotherapy, targeted therapy, and immunotherapy. Advances in single-cell sequencing, spatial transcriptomics, multiplex imaging, and liquid biopsy technologies, coupled with artificial intelligence-enabled analytics, have enabled high-resolution mapping of heterogeneous tumor immune landscapes and revealed convergent resistance mechanisms driven by clonal selection, phenotypic plasticity, microenvironmental buffering, and myeloid-mediated immune suppression. In this review, we synthesize mechanistic and clinical evidence across major cancer types, including colorectal and lung cancers as archetypal mucosal tumors, along with broader examples from breast cancer, melanoma, and immunotherapy-treated malignancies. We highlight how heterogeneous cellular states and immune niches influence clinical outcomes. Finally, we discuss emerging translational strategies to overcome resistance, including rational combination regimens, epigenetic and metabolic targeting, adaptive therapy, myeloid reprogramming approaches, and real-time biomarker monitoring. These approaches aim to restore effective anti-tumor immunity while accounting for the unique constraints of mucosal barrier tissue.

Indexed as

Drug Resistance, NeoplasmNeoplasmsAnimalsHumansImmunotherapyTumor Microenvironmentcancer stem cellsclonal evolutionliquid biopsymyeloid cell plasticityspatial transcriptomicstherapeutic resistancetumor heterogeneitytumor microenvironment

Identifiers

PMID41958668
PMCPMC13057294

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.