Evidence map›Paper›PMID 36636414›Full record

ArticleTranslational lung cancer research2022

SP142 evaluation contributes to the prediction of immune checkpoint inhibitor efficacy in non-small cell lung cancer with high PD-L1 expression assessed by 22C3.

Kenji Nakahama, Masahiko Osawa, Motohiro Izumi, Naoki Yoshimoto, Akira Sugimoto, Hiroaki Nagamine, Koichi Ogawa, Yoshiya Matsumoto, Kenji Sawa, Yoko Tani and 5 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

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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

15 authors.

Kenji NakahamaDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan.
Masahiko OsawaDepartment of Diagnostic Pathology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Motohiro IzumiDepartment of Pulmonary Medicine, Bell land General Hospital, Sakai, Japan.
Naoki YoshimotoDepartment of Pulmonary Medicine, Ishikiriseiki Hospital, Higashiosaka, Japan.
Akira SugimotoDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Hiroaki NagamineDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Koichi OgawaDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Yoshiya MatsumotoDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Kenji SawaDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Yoko TaniDepartment of Clinical Oncology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Hiroyasu KanedaDepartment of Clinical Oncology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Shigeki MitsuokaDepartment of Clinical Oncology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Tetsuya WatanabeDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Kazuhisa AsaiDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Tomoya KawaguchiDepartment of Respiratory Medicine, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It remains unclear whether assessing programmed death-ligand 1 (PD-L1) expression by SP142 plus 22C3 adds value for predicting the response to immunotherapy in non-small cell lung cancer (NSCLC). Methods: This retrospective multicenter study included patients with advanced NSCLC treated with immune-checkpoint inhibitors. We constructed tissue microarrays (TMAs) and performed immunohistochemical staining with 22C3 and SP142 assays. We denoted the PD-L1 tumor proportion score (TPS) obtained from clinical medical records based on 22C3 staining as "22C3 (C)" and that obtained with 22C3 staining using our TMA as "22C3 (TMA)". SP142 staining was evaluated in both tumor cells and immune cells. We assessed the concordance between each PD-L1 assessment method and analyzed the objective response rate (ORR), progression-free survival (PFS) and overall survival (OS) based on the PD-L1 expression level determined using the 22C3 and SP142 assays. Results: In total, 288 patients were included. Among those with 22C3 (TMA) ≥50%, 60% of patients showed SP142 TC3 or IC3; among patients with 22C3 (C) <1%, 9% and 18% exhibited 22C3 (TMA) ≥1% and SP142 TC1/2/3 or IC1/2/3, respectively. Among patients with 22C3 (C) ≥50% treated with immune-checkpoint inhibitor monotherapy, the SP142 TC1/2/3 or IC1/2/3 group showed significantly better ORR, PFS and OS than the SP142 TC0 and IC0 group (54% Conclusions: SP142 evaluation contributes to the prediction of immune-checkpoint inhibitor efficacy in NSCLC with high PD-L1 expression assessed by 22C3.

Indexed as

22C3Non-small cell lung cancer (NSCLC)programmed death-ligand 1 (PD-L1)SP142tissue microarray (TMA)

Identifiers

PMID36636414
PMCPMC9830255

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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.