Evidence map›Paper›PMID 36253762›Full record

ReviewJournal of biomedical science2022

Tumor microenvironment: barrier or opportunity towards effective cancer therapy.

Aadhya Tiwari, Rakesh Trivedi, Shiaw-Yih Lin

Abstract readReview
In one paragraph

Review in Journal of biomedical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 233 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
233citing papers in PubMed, 1 pooled it
–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

233 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Interaction of HIF-1a with various cell death pathways in tumor immune microenvironment (TIME).Apoptosis : an international journal on programmed cell death · 2026
    Pooled it
  2. Trial
  3. Review
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  5. Translational Theranostics in Glioblastoma: FAPI-46 as a Precision Medicine Tool.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  6. Epigenetic insights and innovations for overcoming barriers in CAR-T cell therapy for cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  7. Melatonin in lung cancer: integrating molecular mechanisms, tumor microenvironment regulation, apoptotic signaling, and therapeutic opportunities.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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173 more citing papers are in PubMed but not listed here.

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

3 authors.

Aadhya Tiwari *Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. atiwari3@mdanderson.org.ORCID http://orcid.org/0000-0002-0779-3010
Rakesh Trivedi *Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Shiaw-Yih LinDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. sylin@mdanderson.org.

Funding

Signature-guided therapy for mismatch repair defective cancersR01CA218287 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIN, SHIAW-YIH · 2017 to 2021
$1.9M
NCI NIH HHS R01 CA218287
6 · The paper itself

Abstract

Tumor microenvironment (TME) is a specialized ecosystem of host components, designed by tumor cells for successful development and metastasis of tumor. With the advent of 3D culture and advanced bioinformatic methodologies, it is now possible to study TME's individual components and their interplay at higher resolution. Deeper understanding of the immune cell's diversity, stromal constituents, repertoire profiling, neoantigen prediction of TMEs has provided the opportunity to explore the spatial and temporal regulation of immune therapeutic interventions. The variation of TME composition among patients plays an important role in determining responders and non-responders towards cancer immunotherapy. Therefore, there could be a possibility of reprogramming of TME components to overcome the widely prevailing issue of immunotherapeutic resistance. The focus of the present review is to understand the complexity of TME and comprehending future perspective of its components as potential therapeutic targets. The later part of the review describes the sophisticated 3D models emerging as valuable means to study TME components and an extensive account of advanced bioinformatic tools to profile TME components and predict neoantigens. Overall, this review provides a comprehensive account of the current knowledge available to target TME.

Indexed as

EcosystemNeoplasmsHumansImmunotherapyTumor Microenvironment3D modelsCancer immunotherapyCAR-T/NK therapyCheckpoint inhibitorsSpecialized microenvironmentTME profilingTumor microenvironment

Identifiers

PMID36253762
PMCPMC9575280

What OpenQuestion 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 OpenQuestion graph.