Evidence map›Paper›PMID 37005490›Full record

ReviewCancer communications (London, England)2023

Tumor microenvironment signaling and therapeutics in cancer progression.

Anshika Goenka, Fatima Khan, Bhupender Verma, Priyanka Sinha, Crismita C Dmello, Manasi P Jogalekar, Prakash Gangadaran, Byeong-Cheol Ahn

Abstract readReview
In one paragraph

Review in Cancer communications (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 198 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
198citing 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

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

  1. Pooled it
  2. Superantigens in Cancer Immunotherapy: Mechanisms, Engineering Strategies, and Therapeutic Potential.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Review
  3. Article
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  5. Journal of gastrointestinal oncology · 2026
    Article
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138 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

8 authors.

Anshika GoenkaThe Ken & Ruth Davee Department of Neurology, The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, 60611, IL, USA.
Fatima KhanDepartment of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, 60611, IL, USA.ORCID 0000-0002-8860-0339
Bhupender VermaDepartment of Ophthalmology, Schepens Eye Research Institute, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, 02114, MA, USA.
Priyanka SinhaDepartment of Neurology, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, 02129, MA, USA.
Crismita C DmelloDepartment of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, 60611, IL, USA.
Manasi P JogalekarHelen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, 94143, CA, USA.
Prakash GangadaranBK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, Department of Biomedical Science, School of Medicine, Kyungpook National University, Daegu, 41944, South Korea.
Byeong-Cheol AhnBK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, Department of Biomedical Science, School of Medicine, Kyungpook National University, Daegu, 41944, South Korea.ORCID 0000-0001-7700-3929

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor development and metastasis are facilitated by the complex interactions between cancer cells and their microenvironment, which comprises stromal cells and extracellular matrix (ECM) components, among other factors. Stromal cells can adopt new phenotypes to promote tumor cell invasion. A deep understanding of the signaling pathways involved in cell-to-cell and cell-to-ECM interactions is needed to design effective intervention strategies that might interrupt these interactions. In this review, we describe the tumor microenvironment (TME) components and associated therapeutics. We discuss the clinical advances in the prevalent and newly discovered signaling pathways in the TME, the immune checkpoints and immunosuppressive chemokines, and currently used inhibitors targeting these pathways. These include both intrinsic and non-autonomous tumor cell signaling pathways in the TME: protein kinase C (PKC) signaling, Notch, and transforming growth factor (TGF-β) signaling, Endoplasmic Reticulum (ER) stress response, lactate signaling, Metabolic reprogramming, cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) and Siglec signaling pathways. We also discuss the recent advances in Programmed Cell Death Protein 1 (PD-1), Cytotoxic T-Lymphocyte Associated Protein 4 (CTLA4), T-cell immunoglobulin mucin-3 (TIM-3) and Lymphocyte Activating Gene 3 (LAG3) immune checkpoint inhibitors along with the C-C chemokine receptor 4 (CCR4)- C-C class chemokines 22 (CCL22)/ and 17 (CCL17), C-C chemokine receptor type 2 (CCR2)- chemokine (C-C motif) ligand 2 (CCL2), C-C chemokine receptor type 5 (CCR5)- chemokine (C-C motif) ligand 3 (CCL3) chemokine signaling axis in the TME. In addition, this review provides a holistic understanding of the TME as we discuss the three-dimensional and microfluidic models of the TME, which are believed to recapitulate the original characteristics of the patient tumor and hence may be used as a platform to study new mechanisms and screen for various anti-cancer therapies. We further discuss the systemic influences of gut microbiota in TME reprogramming and treatment response. Overall, this review provides a comprehensive analysis of the diverse and most critical signaling pathways in the TME, highlighting the associated newest and critical preclinical and clinical studies along with their underlying biology. We highlight the importance of the most recent technologies of microfluidics and lab-on-chip models for TME research and also present an overview of extrinsic factors, such as the inhabitant human microbiome, which have the potential to modulate TME biology and drug responses.

Indexed as

NeoplasmsTumor MicroenvironmentChemokinesHumansNeoplastic ProcessesReceptors, ChemokineSignal TransductionChemokinesReceptors, Chemokine3D-modelcancer therapygut microbiotaimmune signalingmetabolismsignalingtumor microenvironment

Identifiers

PMID37005490
PMCPMC10174093

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.