Evidence map›Paper›PMID 29987406›Full record

ReviewMammalian genome : official journal of the International Mammalian Genome Society2018

Manipulating the tumor microenvironment by adoptive cell transfer of CAR T-cells.

Kavitha Gowrishankar, Lucy Birtwistle, Kenneth Micklethwaite

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.4field-weighted citation impact, top 8% of its field
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

21 citing papers in PubMed, 41 citations in OpenAlex.

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  18. CARs of the future.American journal of hematology · 2019
    Review
  19. Article
  20. Introduction to Mammalian Genome special issue: inflammation and immunity in cancer.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Article
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 at 2 institutions in 1 country.

Kavitha GowrishankarWestmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia. kavitha.gowrishankar@sydney.edu.au.
Lucy BirtwistleWestmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia.
Kenneth MicklethwaiteWestmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia.
Westmead Institute for Medical Research · AUWestmead Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T-cells expressing synthetic chimeric antigen receptors (CARs) have revolutionized immuno-oncology and highlighted the use of adoptive cell transfer, for the treatment of cancer. The phenomenal clinical success obtained in the treatment of hematological malignancies with CAR T-cells has not been reproduced in the treatment of solid tumors, mainly due to the suppressive and hostile tumor microenvironment (TME). This review will address the immunosuppressive features of the TME, which include the stroma, cytokine and chemokine milieu, suppressive regulatory cells and hypoxic conditions, which can all pose formidable barriers for the effective anti-tumor function of CAR T-cells. Some of the novel next generation CARs that have been developed and tested against the TME, will be discussed, to highlight the status of current research in CAR T-cell therapy for solid tumors.

Indexed as

AnimalsAntigens, NeoplasmHumansImmunotherapy, AdoptiveNeoplasmsReceptors, Chimeric AntigenT-LymphocytesTumor MicroenvironmentAntigens, NeoplasmReceptors, Chimeric Antigen

Identifiers

PMID29987406
OpenAlexW2817795204

What OpenQuestion holds

Textmetadata
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.