Evidence map›Paper›PMID 38300729›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2024

Combining Genomic Biomarkers to Guide Immunotherapy in Non-Small Cell Lung Cancer.

Joris van de Haar, Joanne M Mankor, Karlijn Hummelink, Kim Monkhorst, Egbert F Smit, Lodewyk F A Wessels, Edwin Cuppen, Joachim G J V Aerts, Emile E Voest

Open access · hybridAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  14. Translational lung cancer research · 2025
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  20. To be or low TMB (tumor mutational burden).Translational cancer research · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 1 country.

Joris van de Haar *Division of Molecular Oncology & Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0001-5899-3971
Joanne M Mankor *Department of Pulmonary Medicine, Erasmus Medical Center, Rotterdam, the Netherlands.ORCID 0000-0003-3653-9043
Karlijn HummelinkDepartment of Pathology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0003-4371-8904
Kim MonkhorstDepartment of Pathology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-8690-3811
Egbert F SmitDepartment of Pulmonary Diseases, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0000-0002-7329-6995
Lodewyk F A WesselsDivision of Molecular Carcinogenesis, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-1656-6995
Edwin Cuppen *Oncode Institute, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-0400-9542
Joachim G J V Aerts *Department of Pulmonary Medicine, Erasmus Medical Center, Rotterdam, the Netherlands.ORCID 0000-0001-6662-2951
Emile E Voest *Division of Molecular Oncology & Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0001-8249-9586
Dutch Cancer Society · NLErasmus MC · NLOncode Institute · NLCenter for Personalized Cancer Treatment · NLLeiden University Medical Center · NLUtrecht University · NL

Funding

Josephine Nefkens FoundationOncode InstituteZonMw (Netherlands Organisation for Health Research and Development) 846001002
6 · The paper itself

Abstract

purposeThe clinical value of STK11, KEAP1, and EGFR alterations for guiding immune checkpoint blockade (ICB) therapy in non-small cell lung cancer (NSCLC) remains controversial, as some patients with these proposed resistance biomarkers show durable ICB responses. More specific combinatorial biomarker approaches are urgently needed for this disease. EXPERIMENTAL

designTo develop a combinatorial biomarker strategy with increased specificity for ICB unresponsiveness in NSCLC, we performed a comprehensive analysis of 254 patients with NSCLC treated with ligand programmed death-ligand 1 (PD-L1) blockade monotherapy, including a discovery cohort of 75 patients subjected to whole-genome sequencing (WGS), and an independent validation cohort of 169 patients subjected to tumor-normal large panel sequencing. The specificity of STK11/KEAP1/EGFR alterations for ICB unresponsiveness was assessed in the contexts of a low (<10 muts/Mb) or high (≥10 muts/Mb) tumor mutational burden (TMB).

resultsIn low TMB cases, STK11/KEAP1/EGFR alterations were highly specific biomarkers for ICB resistance, with 0/15 (0.0%) and 1/34 (2.9%) biomarker-positive patients showing treatment benefit in the discovery and validation cohorts, respectively. This contrasted with high TMB cases, where 11/13 (85%) and 15/34 (44%) patients with at least one STK11/KEAP1/EGFR alteration showed durable treatment benefit in the discovery and validation cohorts, respectively. These findings were supported by analyses of progression-free survival and overall survival.

conclusionsThe unexpected ICB responses in patients carrying resistance biomarkers in STK11, KEAP1, and EGFR were almost exclusively observed in patients with a high TMB. Considering these alterations in context, the TMB offered a highly specific combinatorial biomarker strategy for limiting overtreatment in NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenBiomarkers, TumorErbB ReceptorsGenomicsHumansImmunotherapyKelch-Like ECH-Associated Protein 1LigandsMutationNF-E2-Related Factor 2B7-H1 AntigenBiomarkers, TumorErbB ReceptorsKelch-Like ECH-Associated Protein 1LigandsNF-E2-Related Factor 2

Identifiers

PMID38300729
PMCPMC10982639
OpenAlexW4391430191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.