Evidence map›Paper›PMID 29970158›Full record

ReviewJournal for immunotherapy of cancer2018

Tumor matrix remodeling and novel immunotherapies: the promise of matrix-derived immune biomarkers.

Muhammad Umair Mushtaq, Athanasios Papadas, Adam Pagenkopf, Evan Flietner, Zachary Morrow, Sibgha Gull Chaudhary, Fotis Asimakopoulos

Abstract readReview
In one paragraph

Review in Journal for immunotherapy of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing 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

93 citing papers in PubMed.

  1. Review
  2. Article
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  8. Review
  9. Article
  10. Targeting Matrix Metalloproteinases and Their Inhibitors in Melanoma.International journal of molecular sciences · 2024
    Review
  11. Article
  12. Cold and hot tumors: from molecular mechanisms to targeted therapy.Signal transduction and targeted therapy · 2024
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review

33 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

7 authors.

Muhammad Umair MushtaqDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Athanasios PapadasDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Adam PagenkopfDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Evan FlietnerDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Zachary MorrowDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Sibgha Gull ChaudharyDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Fotis AsimakopoulosDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. fasimako@medicine.wisc.edu.ORCID 0000-0002-5099-1696

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in our understanding of the dynamics of cellular cross-talk have highlighted the significance of host-versus-tumor effect that can be harnessed with immune therapies. Tumors exploit immune checkpoints to evade adaptive immune responses. Cancer immunotherapy has witnessed a revolution in the past decade with the development of immune checkpoint inhibitors (ICIs), monoclonal antibodies against cytotoxic T lymphocyte antigen 4 (CTLA-4) and programmed cell death protein 1 (PD-1) or their ligands, such as PD1 ligand 1 (PD-L1). ICIs have been reported to have activity against a broad range of tumor types, in both solid organ and hematologic malignancy contexts. However, less than one-third of the patients achieve a durable and meaningful treatment response. Expression of immune checkpoint ligands (e.g., PD-L1), mutational burden and tumor-infiltrating lymphocytes are currently used as biomarkers for predicting response to ICIs. However, they do not reliably predict which patients will benefit from these therapies. There is dire need to discover novel biomarkers to predict treatment efficacy and to identify areas for development of combination strategies to improve response rates. Emerging evidence suggests key roles of tumor extracellular matrix (ECM) components and their proteolytic remodeling products in regulating each step of the cancer-immunity cycle. Here we review tumor matrix dynamics and matrix remodeling in context of anti-tumor immune responses and immunotherapy and propose the exploration of matrix-based biomarkers to identify candidates for immune therapy.

Indexed as

Biomarkers, TumorAdaptive ImmunityAntineoplastic Agents, ImmunologicalCancer-Associated FibroblastsExtracellular MatrixHumansImmunity, InnateImmunomodulationImmunotherapyNeoplasmsPrognosisProteolysisStromal CellsTreatment OutcomeTumor MicroenvironmentAntineoplastic Agents, ImmunologicalBiomarkers, TumorAdaptive immune responseImmune biomarkersImmune checkpoint inhibitorsImmunotherapyMatrix remodelingTumor microenvironment

Identifiers

PMID29970158
PMCPMC6029413

What OpenQuestion holds

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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.