Evidence map›Paper›PMID 27834354›Full record

ReviewCancer gene therapy2017

Gene-expression profiling to predict responsiveness to immunotherapy.

N B Jamieson, A V Maker

Abstract readReview
In one paragraph

Review in Cancer gene therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

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  11. The Multi-Dimensional Biomarker Landscape in Cancer Immunotherapy.International journal of molecular sciences · 2022
    Review
  12. Transcriptomic Determinants of Response to Pembrolizumab Monotherapy across Solid Tumor Types.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
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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

2 authors.

N B JamiesonWolfson Wohl Cancer Research Centre, Institute of Cancer Sciences and the Academic Unit of Surgery, School of Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, Scotland.
A V MakerDepartment of Surgery, Division of Surgical Oncology; Department of Microbiology and Immunology, University of Illinois at Chicago, Chicago, IL, USA.

Funding

Enhancing anti-tumor immune responses in colon cancer metastasesK08CA190855 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MAKER, AJAY V. · 2014 to 2018
$909k
NCI NIH HHS K08 CA190855
6 · The paper itself

Abstract

Recent clinical successes with immunotherapy have resulted in expanding indications for cancer therapy. To enhance antitumor immune responses, and to better choose specific strategies matched to patient and tumor characteristics, genomic-driven precision immunotherapy will be necessary. Herein, we explore the role that tumor gene-expression profiling (GEP) may have in the prediction of an immunotherapeutic response. Genetic markers associated with response to immunotherapy are addressed as they pertain to the tumor genomic landscape, the extent of DNA damage, tumor mutational load and tumor-specific neoantigens. Furthermore, genetic markers associated with resistance to checkpoint blockade and relapse are reviewed. Finally, the utility of GEP to identify new tumor types for immunotherapy and implications for combinatorial strategies are summarized.

Indexed as

Biomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticImmunotherapyAnimalsAntigens, NeoplasmCombined Modality TherapyDNA DamageDrug Resistance, NeoplasmGenetic MarkersGenomicsHumansMolecular Targeted TherapyMutationNeoplasmsPrognosisAntigens, NeoplasmBiomarkers, TumorGenetic Markers

Identifiers

PMID27834354
PMCPMC5386795

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.