Evidence map›Paper›PMID 35649657›Full record

ArticleJournal for immunotherapy of cancer2022

Role of tumor infiltrating lymphocytes and spatial immune heterogeneity in sensitivity to PD-1 axis blockers in non-small cell lung cancer.

Miguel Lopez de Rodas, Venkata Nagineni, Arvind Ravi, Ila J Datar, Mari Mino-Kenudson, German Corredor, Cristian Barrera, Lindsey Behlman, David L Rimm, Roy S Herbst and 6 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 1 pooled it
12.1field-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

98 citing papers in PubMed, 1 synthesis or guideline pooled it, 118 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Adaptive resistance in cancer immunotherapy.Cellular & molecular immunology · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. CD3Scientific reports · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Advancements and future trends in machine learning for lung cancer: a comprehensive bibliometric analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  18. Article
  19. Article
  20. Article

38 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

16 authors at 8 institutions in 1 country.

Miguel Lopez de RodasDepartment of Pathology and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-6062-4064
Venkata NagineniDepartment of Pathology and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.
Arvind RaviLank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
Ila J DatarDepartment of Pathology and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.
Mari Mino-KenudsonDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-9092-2265
German CorredorDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Cristian BarreraDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Lindsey BehlmanDepartment of Pathology and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.
David L RimmDepartment of Pathology and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-5820-4397
Roy S HerbstDepartment of Medical Oncology, Yale School of Medicine and Yale Cancer Center, New Haven, Connecticut, USA.
Anant MadabhushiDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0002-5741-0399
Jonathan W RiessUC Davis Comprenhensive Cancer Center, Sacramento, California, USA.
Vamsidhar VelchetiDepartment of Hematology and Oncology, NYU Langone Health, New York, New York, USA.
Matthew D Hellmann *Department of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-2670-9777
Justin Gainor *Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Kurt A Schalper *Department of Pathology and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA kurt.schalper@yale.edu.ORCID 0000-0001-5692-4833
Yale Cancer Center · USCase Western Reserve University · USMassachusetts General Hospital · USHarvard University · USLouis Stokes Cleveland VA Medical Center · USMemorial Sloan Kettering Cancer Center · USNYU Langone Health · USUniversity of California, Davis · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
ConProject-002U2CDK114886 · NIDDK · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2017 to 2021
$21.0M
Pathology CoreU54CA254566 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI GERSON, STANTON L., KIRENGA, BRUCE JAMES · 2020 to 2024
$5.0M
Oral Cavity Quantitative Histomorphometric Risk Classifier (OHbIC) in Oral Cavity Squamous Cell Carcinoma (OC-SCC)R01CA249992 · NCI · EMORY UNIVERSITY · PI LEWIS, JAMES, MADABHUSHI, ANANT · 2021 to 2025
$3.2M
Computerized histologic image predictor of cancer outcomeR01CA202752 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI FELDMAN, MICHAEL D, GANESAN, SHRIDAR · 2016 to 2020
$3.1M
Quantitative Histomorphometric Risk Classifier (QuHbIC) in HPV + Oropharyngeal CarcinomaR01CA220581 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI KOYFMAN, SHLOMO, LEWIS, JAMES · 2018 to 2023
$3.1M
Computerized Histologic Risk Predictor (CHiRP) for Early Stage Lung CancersR01CA216579 · NCI · EMORY UNIVERSITY · PI FU, PINGFU, LLOYD, MARK · 2018 to 2023
$3.1M
MR Fingerprinting and Computerized Decision Support for Prostate CancerR01CA208236 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GULANI, VIKAS, PONSKY, LEE EVAN · 2017 to 2022
$3.0M
Novel Radiomics for Predicting Response to Immunotherapy for Lung CancerR01CA257612 · NCI · EMORY UNIVERSITY · PI Anant Madabhushi, Vamsidhar Velcheti · 2021 to 2026
$2.7M
Quantitative and Spatially-Resolved Analysis of the Tumor Immune Contexture for Optimal Diagnosis and Treatment of Lung CancerR37CA245154 · NCI · YALE UNIVERSITY · PI SCHALPER, KURT A · 2020 to 2025
$2.6M
BLRD VA I01 BX004121NCATS NIH HHS UL1 TR001863NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA093373NCI NIH HHS R01 CA202752NCI NIH HHS R01 CA208236NCI NIH HHS R01 CA216579NCI NIH HHS R01 CA220581NCI NIH HHS R01 CA249992NCI NIH HHS R01 CA257612NCI NIH HHS R01 CA262377NCI NIH HHS R03 CA219603NCI NIH HHS R37 CA245154NCI NIH HHS U01 CA239055NCI NIH HHS U01 CA248226NCI NIH HHS U54 CA254566NCRR NIH HHS C06 RR012463NIBIB NIH HHS R43 EB028736NIDDK NIH HHS U2C DK114886
6 · The paper itself

Abstract

backgroundTumor infiltrating lymphocytes (TILs) reflect adaptive antitumor immune responses in cancer and are generally associated with favorable prognosis. However, the relationships between TILs subsets and their spatial arrangement with clinical benefit from immune checkpoint inhibitors (ICI) in non-small cell lung cancer (NSCLC) remains less explored.

methodsWe used multiplexed quantitative immunofluorescence panels to determine the association of major TILs subpopulations, CD8

resultsTILs were preferentially located in the stromal tissue areas surrounding tumor-cell nests and CD8

conclusionBaseline T cell density and T cell exhaustion marker expression can stratify outcomes in PD-L1 positive patients with NSCLC treated with ICI. Spatial immune heterogeneity can be measured using the RQI and is associated with survival in NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenCD8-Positive T-LymphocytesHumansLymphocytes, Tumor-InfiltratingProgrammed Cell Death 1 ReceptorB7-H1 AntigenProgrammed Cell Death 1 Receptorimmunotherapylung neoplasmslymphocytes, tumor-infiltratingprogrammed cell death 1 receptortumor biomarkers

Identifiers

PMID35649657
PMCPMC9161072
OpenAlexW4281706766

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.