Evidence map›Paper›PMID 37995426›Full record

ArticleESMO open2023

Circulating pre-treatment T-cell receptor repertoire as a predictive biomarker in advanced or metastatic non-small-cell lung cancer patients treated with pembrolizumab alone or in combination with chemotherapy.

A Abed, A B Beasley, A L Reid, N Law, L Calapre, M Millward, J Lo, E S Gray

Abstract read
In one paragraph

Article in ESMO open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

8 authors.

A AbedCentre for Precision Health, Edith Cowan University, Joondalup; School of Medical and Health Sciences, Edith Cowan University, Joondalup; School of Medicine, University of Western Australia, Crawley. Electronic address: afaf.abed@health.wa.gov.au.
A B BeasleyCentre for Precision Health, Edith Cowan University, Joondalup; School of Medical and Health Sciences, Edith Cowan University, Joondalup.
A L ReidCentre for Precision Health, Edith Cowan University, Joondalup; School of Medical and Health Sciences, Edith Cowan University, Joondalup.
N LawDepartment of Medical Oncology, Sir Charles Gairdner Hospital, Nedlands.
L CalapreCentre for Precision Health, Edith Cowan University, Joondalup; School of Medical and Health Sciences, Edith Cowan University, Joondalup.
M MillwardSchool of Medicine, University of Western Australia, Crawley.
J LoSchool of Science, Edith Cowan University, Joondalup, Australia.
E S GrayCentre for Precision Health, Edith Cowan University, Joondalup; School of Medical and Health Sciences, Edith Cowan University, Joondalup. Electronic address: e.gray@ecu.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe circulating T-cell receptor (TCR) repertoire is a dynamic representation of overall immune responses in an individual. MATERIALS AND

methodsWe prospectively collected baseline blood from patients treated with first-line pembrolizumab monotherapy or in combination with chemotherapy. TCR repertoire metrics were correlated with clinical benefit rate (CBR), progression-free survival (PFS), overall survival (OS) and immune-related adverse events (irAEs). We built a logistic regression classifier by fitting all four TCR-β repertoire metrics to the immune checkpoint inhibitor (ICI) CBR data. In the subsequent receiver operating characteristic (ROC) analysis of the resulting logistic regression model probabilities, the best cut-off value was selected to maximise sensitivity to predict CBR to ICI.

resultsWe observed an association between reduced number of unique clones and CBR among patients treated with pembrolizumab monotherapy (cohort 1) [risk ratio = 2.86, 95% confidence interval (CI) 1.04-8.73, P = 0.039]. For patients treated with pembrolizumab plus chemotherapy (cohort 2), increased number of unique clones [hazard ratio (HR) = 2.96, 95% CI 1.28-6.88, P = 0.012] and Shannon diversity (HR = 2.73, 95% CI 1.08-6.87, P = 0.033), and reduced evenness (HR = 0.43, 95% CI 0.21-0.90, P = 0.025) and convergence (HR = 0.41, 95% CI 0.19-0.90, P = 0.027) were associated with improved PFS, while only an increased number of unique clones (HR = 4.62, 95% CI 1.52-14.02, P = 0.007) were associated with improved OS. Logistic regression models combining the TCR repertoire metrics improved the prediction of CBR (cohorts 1 and 2) and were strongly associated with PFS (cohort 1, HR = 0.38, 95% CI 0.19-0.78, P = 0.009) and OS (cohort 2, HR = 0.20, 95% CI 0.05-0.76, P < 0.0001). Reduced TCR conversion was associated with increased frequency of irAEs needing systemic steroid treatment.

conclusionCombined pre-treatment circulating TCR metrics might serve as a predictive biomarker for clinical outcomes among patients with advanced non-small-cell lung cancer treated with pembrolizumab alone or in combination with chemotherapy.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAntibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsBiomarkersHumansReceptors, Antigen, T-CellAntibodies, Monoclonal, HumanizedBiomarkerspembrolizumabReceptors, Antigen, T-Cellbiomarkerschemotherapyimmunotherapynon-small-cell lung cancerT-cell receptor repertoire

Identifiers

PMID37995426
PMCPMC10774950

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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.