Evidence map›Paper›PMID 32206555›Full record

ArticleTranslational lung cancer research2020

Tumor mutation burden derived from small next generation sequencing targeted gene panel as an initial screening method.

Yuan Tang, Yuli Li, Weiya Wang, Analyn Lizaso, Ting Hou, Lili Jiang, Meijuan Huang

Abstract read
In one paragraph

Article in Translational lung cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

13 citing papers in PubMed.

  1. Article
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  3. Reply to: "Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
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  9. The combination of gene hyperamplification and PD-L1 expression as a biomarker for the clinical benefit of tislelizumab in gastric/gastroesophageal junction adenocarcinoma.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2022
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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

7 authors.

Yuan TangDepartment of Pathology, West China Hospital, Chengdu 610041, China.
Yuli LiDepartment of Pathology, West China Hospital, Chengdu 610041, China.
Weiya WangDepartment of Pathology, West China Hospital, Chengdu 610041, China.
Analyn LizasoBurning Rock Biotech, Guangzhou 510300, China.
Ting HouBurning Rock Biotech, Guangzhou 510300, China.
Lili JiangDepartment of Pathology, West China Hospital, Chengdu 610041, China.
Meijuan HuangDepartment of Thoracic Oncology, West China Hospital, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the increasing use of immune checkpoint inhibitors, tumor mutation burden (TMB) assessment is now routinely included in reports generated from targeted sequencing with large gene panels; however, not all patients require comprehensive profiling with large panels. Our study aims to explore the feasibility of using a small 56-gene panel as a screening method for TMB prediction.

methodsTMB from 406 non-small cell lung cancer (NSCLC) patients was estimated using a large 520-gene panel simulated with the prospective TMB status for the small panel. This information was then used to determine the optimal cut-off. An independent cohort of 30 NSCLC patients was sequenced with both panels to confirm the cut-off value.

resultsBy comparing sensitivity, specificity, and positive predictive value (PPV), the cut-off was set up as 10 mutations/megabase, yielding 81.4% specificity, 83.6% sensitivity, and 62.4% PPV. Further validation with an independent cohort sequenced with both panels using the same cut-off achieved 95.7% sensitivity, 71.4% specificity and 91.7% PPV. The decreasing trend of sensitivity with the increasing trend of both specificity and PPV with a concomitant increase in the cut-off for the small panel suggests that TMB is overestimated but highly unlikely to yield false-positive results. Hence, patients with low TMB (<10) can be reliably stratified from patients with high TMB (≥10).

conclusionsThe small panel, more cost-effective, can be used as a screening method to screen for patients with low TMB, while patients with TMB ≥10 are recommended for further validation with a larger panel.

Indexed as

Non-small cell lung cancer (NSCLC)small gene panelTMB in NSCLCtumor mutation burden (TMB)

Identifiers

PMID32206555
PMCPMC7082297

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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.