Evidence map›Paper›PMID 36650021›Full record

ArticleJournal for immunotherapy of cancer2023

Durable responders in advanced NSCLC with elevated TMB and treated with 1L immune checkpoint inhibitor: a real-world outcomes analysis.

Richard S P Huang, David P Carbone, Gerald Li, Alexa Schrock, Ryon P Graf, Liangliang Zhang, Karthikeyan Murugesan, Jeffrey S Ross, Khaled Tolba, Jacob Sands and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 29 citations in OpenAlex.

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  17. Identifying patients who benefit more from perioperative immunotherapy combinations for resectable non-small cell lung cancer based on clinical and molecular characteristics: a meta-analysis of randomized clinical trials.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

12 authors at 5 institutions in 1 country.

Richard S P HuangFoundation Medicine Inc, Cambridge, Massachusetts, USA rhuang@foundationmedicine.com.ORCID 0000-0001-8395-5168
David P CarboneThe Ohio State University and the Pelotonia Institute for Immune Oncology, Columbus, Ohio, USA.
Gerald LiFoundation Medicine Inc, Cambridge, Massachusetts, USA.ORCID 0000-0002-5617-6262
Alexa SchrockFoundation Medicine Inc, Cambridge, Massachusetts, USA.
Ryon P GrafFoundation Medicine Inc, Cambridge, Massachusetts, USA.ORCID 0000-0002-8065-4148
Liangliang ZhangFoundation Medicine Inc, Cambridge, Massachusetts, USA.
Karthikeyan MurugesanFoundation Medicine Inc, Cambridge, Massachusetts, USA.ORCID 0000-0002-2275-1126
Jeffrey S RossFoundation Medicine Inc, Cambridge, Massachusetts, USA.
Khaled TolbaFoundation Medicine Inc, Cambridge, Massachusetts, USA.
Jacob SandsDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Geoffrey R OxnardFoundation Medicine Inc, Cambridge, Massachusetts, USA.
David SpigelSarah Cannon Research Institute and Tennessee Oncology, Nashville, Tennessee, USA.
Foundation Medicine (United States)Dana-Farber Cancer Institute · USSarah Cannon · USSUNY Upstate Medical University · USThe Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor patients with advanced non-small cell lung carcinoma (NSCLC), immune checkpoint inhibitor (ICPI) and chemotherapy (chemo) ICPI represent two distinct first-line standard-of-care regimens without clear and established biomarkers to inform the optimal choice for individual patients. Here, we examined the complementary roles of tumor mutational burden (TMB) and programmed death ligand-1 (PD-L1) immunohistochemistry (IHC) to inform first-line therapy using a large real-world (rw) data set. MATERIALS AND

methodsThe study included patients with NSCLC from an rw de-identified clinico-genomic database. All patients underwent genomic testing using Foundation Medicine's tissue comprehensive genomic profiling assay and PD-L1 IHC assay scored for tumor cell staining (TS).

resultsOf 2165 patients included in the analysis, 150 exhibited durable benefit from first-line ICPI regimens (these patients were enriched for PD-L1 TS ≥50, non-squamous histology, and TMB ≥20 mutations/megabase (muts/Mb)). Comparing low TMB (<10 muts/Mb), high TMB (10-19 muts/Mb), and very high TMB (≥20 muts/Mb) receiving ICPI alone, we observed a stepwise increase in median rwPFS (real world-progression free survival) (6.5, 7.5, 17.2 months) and rwOS (real world-overall survival) (10.1, 11.8, 26.9 months) as TMB increased. In the low PD-L1 (TS <50%) cohort, TMB <20 muts/Mb showed a more favorable rwPFS (HR: 0.56 (95% CI: 0.40 to 0.79)) and rwOS (HR 0.74 (95% CI: 0.58 to 0.96)) on chemoICPI when compared with ICPI alone while the point estimate in rwPFS favored monoICPI in the TMB ≥20 muts/Mb cohort, the CI is wide and does not reach statistical significance (HR: 1.68 (95% CI: 0.52 to 5.48)).

conclusionThis study provides evidence that higher TMB cut-offs, such as 20 muts/Mb, can identify patients with prolonged benefit from ICPI. TMB ≥20 muts/Mb is a potential biomarker that may identify patients in whom an ICPI without chemo could be considered, even in the setting of lower PD-L1 levels. Prospective validation of these findings could increase access to chemo-sparing regimens for the first-line treatment of advanced NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenBiomarkers, TumorHumansImmune Checkpoint InhibitorsMutationB7-H1 AntigenBiomarkers, TumorImmune Checkpoint InhibitorsImmunotherapyLung NeoplasmsTumor Biomarkers

Identifiers

PMID36650021
PMCPMC9853253
OpenAlexW4317207526

What OpenQuestion holds

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LicenceCC BY-NC
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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.