Evidence map›Paper›PMID 38127300›Full record

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

Objective Analysis and Clinical Significance of the Spatial Tumor-Infiltrating Lymphocyte Patterns in Non-Small Cell Lung Cancer.

Miguel Lopez de Rodas, Yvonne Wang, Gang Peng, Jianlei Gu, Mari Mino-Kenudson, Jonathan W Riess, Vamsidhar Velcheti, Matthew Hellmann, Justin F Gainor, Hongyu Zhao and 1 more

Open access · greenAbstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  8. Closer proximity of pre-treatment CD4Translational lung cancer research · 2025
    Article
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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

11 authors at 7 institutions in 1 country.

Miguel Lopez de Rodas *Department of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0002-6062-4064
Yvonne WangDepartment of Biostatistics, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-4946-1062
Gang PengDepartment of Biostatistics, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-0307-9351
Jianlei GuDepartment of Biostatistics, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0002-9337-5017
Mari Mino-KenudsonDepartment of Pathology, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-9092-2265
Jonathan W RiessUC Davis Comprehensive Cancer Center, Sacramento, California.ORCID 0000-0001-7370-7304
Vamsidhar VelchetiDepartment of Hematology and Oncology, NYU Langone Health, New York, New York.ORCID 0000-0002-6589-0759
Matthew HellmannDepartment of Medicine, Weill Cornell Medical College, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-2670-9777
Justin F GainorDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0001-8697-4081
Hongyu ZhaoDepartment of Biostatistics, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-1195-9607
Kurt A SchalperDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0001-5692-4833
Yale University · USComprehensive Blood & Cancer Center · USHarvard University · USMassachusetts General Hospital · USMemorial Sloan Kettering Cancer Center · USNYU Langone Health · USUniversity of Indianapolis · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
Yale SPORE in Lung Cancer (YSILC): The Biology and Personalized Treatment of Lung CancerP50CA196530 · NCI · YALE UNIVERSITY · PI Kurt A Schalper · 2015 to 2026
$31.1M
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
Understanding the role and clinical potential of dominant immune suppressive myeloid-cell responses in human cancerR01CA262377 · NCI · YALE UNIVERSITY · PI SCHALPER, KURT A · 2021 to 2025
$1.9M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA093373NCI NIH HHS P50 CA196530NCI NIH HHS R01 CA262377NCI NIH HHS R37 CA245154
6 · The paper itself

Abstract

purposeThe spatial arrangement of lymphocytes in the tumor bed (e.g., immune infiltrated, immune excluded, immune desert) is expected to reflect distinct immune evasion mechanisms and to associate with immunotherapy outcomes. However, data supporting these associations are scant and limited by the lack of a clear definition for lymphocyte infiltration patterns and the subjective nature of pathology-based approaches. EXPERIMENTAL

designWe used multiplexed immunofluorescence to study major tumor-infiltrating lymphocyte (TIL) subsets with single-cell resolution in baseline whole-tissue section samples from NSCLC patients treated with immune checkpoint inhibitors (ICI). The spatial TIL patterns were analyzed using a qualitative pathologist-based approach, and an objective analysis of TIL density ratios in tumor/stromal tissues. The association of spatial patterns with outcomes was studied for different TIL markers.

resultsThe analysis of CD8+ TIL patterns using qualitative assessment identified prominent limitations including the presence of a broad spectrum of phenotypes within most tumors and limited association with outcomes. The utilization of an objective method to classify NSCLCs showed the existence of at least three subgroups with partial overlap with those defined using visual patterns. Using this strategy, a subset of cases with "immune excluded-like" tumors showed prominently worse outcomes, suggesting reduced sensitivity to ICI; however, these results need to be validated. The analysis for other TIL subsets showed different results, underscoring the relevance of the marker selected for spatial TIL pattern evaluation and opportunities for market integration.

conclusionsOur results identified major challenges associated with the qualitative spatial TIL pattern evaluation. We devised a novel objective strategy to overcome some of these limitations that has strong biomarker potential.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsClinical RelevanceHumansHypesthesiaLymphocytes, Tumor-Infiltrating

Identifiers

PMID38127300
PMCPMC10922461
OpenAlexW4390061591

What OpenQuestion holds

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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.