Evidence map›Paper›PMID 37247843›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2023

Impact of Aneuploidy and Chromosome 9p Loss on Tumor Immune Microenvironment and Immune Checkpoint Inhibitor Efficacy in NSCLC.

Joao V Alessi, Xinan Wang, Arielle Elkrief, Biagio Ricciuti, Yvonne Y Li, Hersh Gupta, Liam F Spurr, Hira Rizvi, Jia Luo, Federica Pecci and 25 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
9.0field-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

30 citing papers in PubMed, 39 citations in OpenAlex.

  1. Trial
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  7. Prevalence and Actionability of MTAP Loss in Oncogene-Driven Lung Cancer.bioRxiv : the preprint server for biology · 2026
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  8. Review
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  12. Interferon Epsilon Loss Is Elusive 9p21 Link to Immune-Cold Tumors, Resistant to Immune Checkpoint Therapy, and Endogenous CXCL9/10 Induction.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2025
    Review
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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

35 authors at 6 institutions in 1 country.

Joao V AlessiLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Xinan WangDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
Arielle ElkriefThoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Biagio RicciutiLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Yvonne Y LiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Hersh GuptaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Liam F SpurrPritzker School of Medicine, The University of Chicago, Chicago, Illinois.
Hira RizviThoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Jia LuoLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Federica PecciLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Giuseppe LambertiLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Gonzalo RecondoLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Deepti VenkatramanLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Alessandro Di FedericoLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Malini M GandhiLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Victor R VazLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Mizuki NishinoDepartment of Radiology, Brigham and Women's Hospital and Department of Imaging, Dana-Farber Cancer Institute, Boston, Massachusetts.
Lynette M ShollDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
Andrew D CherniackDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Marc LadanyiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Adam PriceMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Allison L RichardsMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Mark DonoghueMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
James LindsayData Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Bijaya SharmaImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts.
Madison M TurnerCenter for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Kathleen L PfaffCenter for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Kristen D FeltImmunoProfile, Brigham & Women's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts.
Scott J RodigDepartment of Pathology, Brigham and Women's Hospital, Boston, Massachusetts; Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Xihong LinDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
Matthew L MeyersonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts; Cancer Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Bruce E JohnsonLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
David C ChristianiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
Adam J SchoenfeldThoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Mark M AwadLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts. Electronic address: mark_awad@dfci.harvard.edu.
Dana-Farber Cancer Institute · USMemorial Sloan Kettering Cancer Center · USBrigham and Women's Hospital · USBroad Institute · USHarvard University · USUniversity of Chicago · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Rayjean J. Hung · 2017 to 2026
$23.7M
The Boston Lung Cancer Survival CohortU01CA209414 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI David C Christiani · 2017 to 2026
$12.2M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Powering whole genome sequence-based genetic discovery for common human diseases- Extended 2021-2022.U01HG009088 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIN, XIHONG, NEALE, BENJAMIN MICHAEL · 2016 to 2021
$5.1M
Predictive Modeling of the Functional and Phenotypic Impacts of Genetic VariantsU01HG012064 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Manuel Garber, XIHONG LIN · 2021 to 2026
$4.0M
Automated in vivo analysis of tumor growth rate as a guide for therapeutic decisions to advance personalized cancer treatmentR01CA203636 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI NISHINO, MIZUKI · 2017 to 2021
$2.9M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA203636NCI NIH HHS R35 CA197449NCI NIH HHS U01 CA209414NCI NIH HHS U19 CA203654NHGRI NIH HHS U01 HG009088NHGRI NIH HHS U01 HG012064
6 · The paper itself

Abstract

introductionAlthough gene-level copy number alterations have been studied as a potential biomarker of immunotherapy efficacy in NSCLC, the impact of aneuploidy burden and chromosomal arm-level events on immune checkpoint inhibitor (ICI) efficacy in NSCLC is uncertain.

methodsPatients who received programmed cell death protein 1 or programmed death-ligand 1 (PD-L1) inhibitor at two academic centers were included. Across all 22 chromosomes analyzed, an arm was considered altered if at least 70% of its territory was either gained or deleted. Among nonsquamous NSCLCs which underwent targeted next-generation sequencing, we retrospectively quantified aneuploidy using the adjusted fraction of chromosomal arm alterations (FAA), defined as the number of altered chromosome arms divided by the number of chromosome arms assessed, adjusted for tumor purity.

resultsAmong 2293 nonsquamous NSCLCs identified, the median FAA increased with more advanced cancer stage and decreased with higher PD-L1 tumor proportion score (TPS) levels (median FAA in TPS < 1%: 0.09, TPS 1%-49%: 0.08, TPS ≥ 50%: 0.05, p < 0.0001). There was a very weak correlation between FAA and tumor mutational burden when taken as continuous variables (R: 0.07, p = 0.0005). A total of 765 advanced nonsquamous NSCLCs with available FAA values were treated with ICIs. With decreasing FAA tertiles, there was a progressive improvement in objective response rate (ORR 15.1% in upper tertile versus 23.2% in middle tertile versus 28.4% in lowest tertile, p = 0.001), median progression-free survival (mPFS 2.5 versus 3.3 versus 4.1 mo, p < 0.0001), and median overall survival (mOS 12.5 versus 13.9 versus 16.4 mo, p = 0.006), respectively. In the arm-level enrichment analysis, chromosome 9p loss (OR = 0.22, Q = 0.0002) and chromosome 1q gain (OR = 0.43, Q = 0.002) were significantly enriched in ICI nonresponders after false discovery rate adjustment. Compared with NSCLCs without chromosome 9p loss (n = 452), those with 9p loss (n = 154) had a lower ORR (28.1% versus 7.8%, p < 0.0001), a shorter mPFS (4.1 versus 2.3 mo, p < 0.0001), and a shorter mOS (18.0 versus 9.6 mo, p < 0.0001) to immunotherapy. In addition, among NSCLCs with high PD-L1 expression (TPS ≥ 50%), chromosome 9p loss was associated with lower ORR (43% versus 6%, p < 0.0001), shorter mPFS (6.4 versus 2.6 mo, p = 0.0006), and shorter mOS (30.2 versus 14.3 mo, p = 0.0008) to immunotherapy compared with NSCLCs without 9p loss. In multivariable analysis, adjusting for key variables including FAA, chromosome 9p loss, but not 1q gain, retained a significant impact on ORR (hazard ratio [HR] = 0.25, p < 0.001), mPFS (HR = 1.49, p = 0.001), and mOS (HR = 1.47, p = 0.003). Multiplexed immunofluorescence and computational deconvolution of RNA sequencing data revealed that tumors with either high FAA levels or chromosome 9p loss had significantly fewer tumor-associated cytotoxic immune cells.

conclusionsNonsquamous NSCLCs with high aneuploidy and chromosome 9p loss have a distinct tumor immune microenvironment and less favorable outcomes to ICIs.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAneuploidyB7-H1 AntigenChromosome AberrationsChromosomesHumansImmune Checkpoint InhibitorsRetrospective StudiesTumor MicroenvironmentB7-H1 AntigenImmune Checkpoint InhibitorsAneuploidyChromosome 9p lossFAAImmunotherapyNon–small cell lung cancer

Identifiers

PMID37247843
PMCPMC10913104
OpenAlexW4378528212

What OpenQuestion holds

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LicenceTDM
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.