Evidence map›Paper›PMID 31898519›Full record

ArticleRadiation oncology (London, England)2020

Prognostic value of PD-L1 expression on tumor cells combined with CD8+ TIL density in patients with locally advanced non-small cell lung cancer treated with concurrent chemoradiotherapy.

Kathrin Gennen, Lukas Käsmann, Julian Taugner, Chukwuka Eze, Monika Karin, Olarn Roengvoraphoj, Jens Neumann, Amanda Tufman, Michael Orth, Simone Reu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.6field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 40 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Kathrin GennenDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Lukas KäsmannDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany. LKaesmann@gmail.com.ORCID http://orcid.org/0000-0001-6260-5249
Julian TaugnerDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Chukwuka EzeDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Monika KarinDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Olarn RoengvoraphojDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Jens NeumannInstitute of Pathology, Faculty of Medicine, LMU, Munich, Germany.
Amanda TufmanComprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany.
Michael OrthDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Simone ReuDepartment of Pathology, University Hospital Wuerzburg, Wuerzburg, Germany.
Claus BelkaDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Farkhad ManapovDepartment of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
LMU Klinikum · DEGerman Cancer Research Center · DEUniversitätsklinikum Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimmmune checkpoint inhibition (CPI) has an increasing impact in the multimodal treatment of locally advanced non-small cell lung cancer (LA-NSCLC). Increasing evidence suggests treatment outcome depending on tumor cell PD-L1 expression. The purpose of this retrospective study was to investigate the prognostic value of PD-L1 expression on tumor cells in combination with CD8+ tumor stroma-infiltrating lymphocyte (TIL) density in inoperable LA-NSCLC treated with concurrent chemoradiotherapy (CRT). PATIENTS AND

methodWe retrospectively assessed clinical characteristics and initial tumor biopsy samples of 31 inoperable LA-NSCLC patients treated with concurrent CRT. Prognostic impact of tumor cell PD-L1 expression (0% versus ≥1%) and CD8+ TIL density (0-40% vs. 41-100%) for local control, progression-free (PFS) and overall survival (OS) as well as correlations with clinicopathological features were evaluated.

resultsMedian OS was 14 months (range: 3-167 months). The OS rates at 1- and 2 years were 68 and 20%. Local control of the entire cohort at 1 and 2 years were 74 and 61%. Median PFS, 1-year and 2-year PFS were 13 ± 1.4 months, 58 and 19%. PD-L1 expression < 1% on tumor cells was associated with improved OS, PFS and local control in patients treated with concurrent CRT. Univariate analysis showed a trend towards improved OS and local control in patients with low CD8+ TIL density. Evaluation of Tumor Immunity in the MicroEnvironment (TIME) appears to be an independent prognostic factor for local control, PFS and OS. The longest and shortest OS were achieved in patients with type I (PD-L1

conclusionAssessment of PD-L1 expression on tumor cells in combination with CD8+ TIL density can be a predictive biomarker in patients with inoperable LA-NSCLC treated with concurrent CRT.

Indexed as

ChemoradiotherapyAgedB7-H1 AntigenCarcinoma, Non-Small-Cell LungCD8-Positive T-LymphocytesFemaleHumansLung NeoplasmsLymphocytes, Tumor-InfiltratingMaleMiddle AgedPrognosisRetrospective StudiesTumor MicroenvironmentB7-H1 AntigenCD274 protein, humanCheckpoint inhibitionChemoradiotherapyPDL1Prognostic factorsTILs

Identifiers

PMID31898519
PMCPMC6941268
OpenAlexW2998567181

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.