Evidence map›Paper›PMID 35852792›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2022

PD-1T TILs as a Predictive Biomarker for Clinical Benefit to PD-1 Blockade in Patients with Advanced NSCLC.

Karlijn Hummelink, Vincent van der Noort, Mirte Muller, Robert D Schouten, Ferry Lalezari, Dennis Peters, Willemijn S M E Theelen, Viktor H Koelzer, Kirsten D Mertz, Alfred Zippelius and 8 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Combinatorial Delivery of Low-Dose Radiotherapy and Immunotherapy to Patients with Immune-Excluded Tumors Enhances CD8+ T-cell Functionality.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  8. PD-1Biomarker research · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Karlijn HummelinkDepartment of Pathology, Division of Diagnostic Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0003-4371-8904
Vincent van der NoortDepartment of Biometrics, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-4910-4535
Mirte MullerDepartment of Thoracic Oncology, Division of Medical Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-7594-946X
Robert D SchoutenDepartment of Thoracic Oncology, Division of Medical Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-7014-470X
Ferry LalezariDepartment of Radiology, Division of Diagnostic Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-1777-3259
Dennis PetersCore Facility Molecular Pathology and Biobanking, Division of Molecular Pathology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0003-2931-3097
Willemijn S M E TheelenDepartment of Thoracic Oncology, Division of Medical Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0001-9772-0511
Viktor H KoelzerDepartment of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0001-9206-4885
Kirsten D MertzInstitute of Pathology, Cantonal Hospital Baselland, Liestal, Switzerland.ORCID 0000-0002-3074-6925
Alfred ZippeliusDepartment of Biomedicine, University Hospital Basel, Basel, Switzerland.ORCID 0000-0003-1933-8178
Michel M van den HeuvelDepartment of Thoracic Oncology, Division of Medical Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-6372-2153
Annegien BroeksCore Facility Molecular Pathology and Biobanking, Division of Molecular Pathology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-8699-5058
John B A G HaanenDivision of Molecular Oncology and Immunology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0001-5884-7704
Ton N SchumacherDivision of Molecular Oncology and Immunology, the Netherlands Cancer Institute, Oncode Institute, Amsterdam, the Netherlands.ORCID 0000-0003-0517-8804
Gerrit A MeijerDepartment of Pathology, Division of Diagnostic Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0003-0330-3130
Egbert F SmitDepartment of Thoracic Oncology, Division of Medical Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-7329-6995
Kim Monkhorst *Department of Pathology, Division of Diagnostic Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-8690-3811
Daniela S Thommen *Division of Molecular Oncology and Immunology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID 0000-0002-7431-2854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDurable clinical benefit to PD-1 blockade in non-small cell lung cancer (NSCLC) is currently limited to a small fraction of patients, underlining the need for predictive biomarkers. We recently identified a tumor-reactive tumor-infiltrating T lymphocyte (TIL) pool, termed PD-1T TILs, with predictive potential in NSCLC. Here, we examined PD-1T TILs as biomarker in NSCLC. EXPERIMENTAL

designPD-1T TILs were digitally quantified in 120 baseline samples from advanced NSCLC patients treated with PD-1 blockade. Primary outcome was disease control (DC) at 6 months. Secondary outcomes were DC at 12 months and survival. Exploratory analyses addressed the impact of lesion-specific responses, tissue sample properties, and combination with other biomarkers on the predictive value of PD-1T TILs.

resultsPD-1T TILs as a biomarker reached 77% sensitivity and 67% specificity at 6 months, and 93% and 65% at 12 months, respectively. Particularly, a patient group without clinical benefit was reliably identified, indicated by a high negative predictive value (NPV) (88% at 6 months, 98% at 12 months). High PD-1T TILs related to significantly longer progression-free (HR 0.39, 95% CI, 0.24-0.63, P < 0.0001) and overall survival (HR 0.46, 95% CI, 0.28-0.76, P < 0.01). Predictive performance was increased when lesion-specific responses and samples obtained immediately before treatment were assessed. Notably, the predictive performance of PD-1T TILs was superior to PD-L1 and tertiary lymphoid structures in the same cohort.

conclusionsThis study established PD-1T TILs as predictive biomarker for clinical benefit to PD-1 blockade in patients with advanced NSCLC. Most importantly, the high NPV demonstrates an accurate identification of a patient group without benefit. See related commentary by Anagnostou and Luke, p. 4835.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenBiomarkers, TumorCD8-Positive T-LymphocytesHumansLymphocytes, Tumor-InfiltratingPredictive Value of TestsPrognosisProgrammed Cell Death 1 ReceptorB7-H1 AntigenBiomarkers, TumorProgrammed Cell Death 1 Receptor

Identifiers

PMID35852792
PMCPMC9762332

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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.