Evidence map›Paper›PMID 36230726›Full record

ReviewCancers2022

Current Immune Checkpoint Inhibitor Genetic Biomarker Exploration in Gastrointestinal Tumors.

Jane E Rogers, Kohei Yamashita, Matheus Sewastjanow Silva, Jaffer A Ajani

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

4 authors at 1 institution in 1 country.

Jane E RogersU.T. M.D. Anderson Cancer Center Pharmacy Clinical Programs, Houston, TX 77030, USA.
Kohei YamashitaU.T. M.D. Anderson Cancer Center Department of Gastrointestinal Medical Oncology, Houston, TX 77030, USA.ORCID 0000-0001-8790-9265
Matheus Sewastjanow SilvaU.T. M.D. Anderson Cancer Center Department of Gastrointestinal Medical Oncology, Houston, TX 77030, USA.ORCID 0000-0003-4804-1891
Jaffer A AjaniU.T. M.D. Anderson Cancer Center Department of Gastrointestinal Medical Oncology, Houston, TX 77030, USA.
The University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors have revolutionized cancer management. Some patients with gastrointestinal (GI) tract malignancy have experienced remarkable results. Here, in our review, we discuss predictive/prognostic GI tumor biomarkers that appear to correlate with benefits with this strategy. Remarkable progress has been made in certain subsets of patients including the potential for solid tumor patients to avoid local therapies such as radiation and/or surgery (organ preservation), which come with acute and chronic risks that have historically been the only curable strategies for these GI tumors. These results provide new and exciting strategies for solid tumor management. Unfortunately, immune checkpoint inhibitors can correlate with biomarkers, but benefits occur in a small subset of patients with GI malignancies. Most frequently, immune checkpoint inhibitors fail to induce response in GI malignancies due to the "cold" tumor microenvironment that protects cancer. Translational strategies are needed to develop effective combination strategies and novel biomarkers to overcome the intrinsic resistance.

Indexed as

gastrointestinal neoplasmsimmune checkpoint inhibitormicrosatellite-instability-high/deficient mismatch repairprogrammed-death-1programmed death-ligand-1

Identifiers

PMID36230726
PMCPMC9563283
OpenAlexW4303614341

What OpenQuestion holds

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LicenceCC BY
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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.