Evidence map›Paper›PMID 30505710›Full record

ReviewTranslational lung cancer research2018

Methods of measurement for tumor mutational burden in tumor tissue.

Bárbara Meléndez, Claude Van Campenhout, Sandrine Rorive, Myriam Remmelink, Isabelle Salmon, Nicky D'Haene

Open access · hybridAbstract readReview
In one paragraph

Review in Translational lung cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
153citing papers in PubMed, 4 pooled it
10.3field-weighted citation impact, top 1% 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

153 citing papers in PubMed, 4 syntheses or guidelines pooled it, 243 citations in OpenAlex.

  1. Guideline
  2. Pooled it
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  4. Imaging of tumour response to immunotherapy.European radiology experimental · 2020
    Pooled it
  5. Trial
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93 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

6 authors at 1 institution in 1 country.

Bárbara MeléndezDepartment of Pathology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.
Claude Van CampenhoutDepartment of Pathology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.
Sandrine RoriveDepartment of Pathology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.
Myriam RemmelinkDepartment of Pathology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.
Isabelle SalmonDepartment of Pathology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.
Nicky D'HaeneDepartment of Pathology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.
Université Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapies based on immune checkpoint inhibitors are emerging as an innovative treatment for different types of advanced cancers. While the utility of immune checkpoint inhibitors has been clearly demonstrated, the response rate is highly variable across individuals. Due to the cost and toxicity of these immunotherapies, a critical challenge in this field is the identification of predictive biomarkers to discriminate which patients may respond to immunotherapy. Recently, a high tumor mutational burden (TMB) has been identified as a genetic signature that is associated with a favorable outcome for immune checkpoint inhibitor therapy. The TMB is defined as the total number of nonsynonymous mutations per coding area of a tumor genome. Initially, it was determined using whole exome sequencing, but due to the high costs and long turnaround time of this method, targeted panel sequencing is currently being explored to measure TMB. In the near future, TMB evaluation may play an important role in immuno-oncology, but its implementation in a routine setting involves robust analytical and clinical validation. Standardization is also needed in order to make informed decisions about patients. This review presents the methodologies employed for determining TMB and discusses the factors that may have an impact on its measurement.

Indexed as

gene panelsmethodsTumor mutational burden (TMB)whole-exome sequencing (WES)

Identifiers

PMID30505710
PMCPMC6249625
OpenAlexW2890023109

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.