Evidence map›Paper›PMID 36860308›Full record

ArticleFrontiers in oncology2023

Predicting survival of NSCLC patients treated with immune checkpoint inhibitors: Impact and timing of immune-related adverse events and prior tyrosine kinase inhibitor therapy.

Michael R Sayer, Isa Mambetsariev, Kun-Han Lu, Chi Wah Wong, Ashley Duche, Richard Beuttler, Jeremy Fricke, Rebecca Pharoan, Leonidas Arvanitis, Zahra Eftekhari and 5 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Observational
  8. Review
  9. 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

15 authors.

Michael R SayerDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Isa MambetsarievDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, United States.
Kun-Han LuDepartment of Applied AI and Data Science, City of Hope National Medical Center, Duarte, CA, United States.
Chi Wah WongDepartment of Applied AI and Data Science, City of Hope National Medical Center, Duarte, CA, United States.
Ashley DucheDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Richard BeuttlerDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Jeremy FrickeDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, United States.
Rebecca PharoanDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, United States.
Leonidas ArvanitisDepartment of Pathology, City of Hope National Medical Center, Duarte, CA, United States.
Zahra EftekhariDepartment of Applied AI and Data Science, City of Hope National Medical Center, Duarte, CA, United States.
Arya AminiDepartment of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, United States.
Marianna KoczywasDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, United States.
Erminia MassarelliDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, United States.
Moom Rahman RoosanDepartment of Pharmacy Practice, Chapman University School of Pharmacy, Irvine, CA, United States.
Ravi SalgiaDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Immune checkpoint inhibitors (ICIs) produce a broad spectrum of immune-related adverse events (irAEs) affecting various organ systems. While ICIs are established as a therapeutic option in non-small cell lung cancer (NSCLC) treatment, most patients receiving ICI relapse. Additionally, the role of ICIs on survival in patients receiving prior targeted tyrosine kinase inhibitor (TKI) therapy has not been well-defined. Objective: To investigate the impact of irAEs, the relative time of occurrence, and prior TKI therapy to predict clinical outcomes in NSCLC patients treated with ICIs. Methods: A single center retrospective cohort study identified 354 adult patients with NSCLC receiving ICI therapy between 2014 and 2018. Survival analysis utilized overall survival (OS) and real-world progression free survival (rwPFS) outcomes. Model performance matrices for predicting 1-year OS and 6-month rwPFS using linear regression baseline, optimal, and machine learning modeling approaches. Results: Patients experiencing an irAE were found to have a significantly longer OS and rwPFS compared to patients who did not (median OS 25.1 vs. 11.1 months; hazard ratio [HR] 0.51, confidence interval [CI] 0.39- 0.68, P-value <0.001, median rwPFS 5.7 months vs. 2.3; HR 0.52, CI 0.41- 0.66, P-value <0.001, respectively). Patients who received TKI therapy before initiation of ICI experienced significantly shorter OS than patients without prior TKI therapy (median OS 7.6 months vs. 18.5 months; P-value < 0.01). After adjusting for other variables, irAEs and prior TKI therapy significantly impacted OS and rwPFS. Lastly, the performances of models implementing logistic regression and machine learning approaches were comparable in predicting 1-year OS and 6-month rwPFS. Conclusion: The occurrence of irAEs, the timing of the events, and prior TKI therapy were significant predictors of survival in NSCLC patients on ICI therapy. Therefore, our study supports future prospective studies to investigate the impact of irAEs, and sequence of therapy on the survival of NSCLC patients taking ICIs.

Indexed as

immune-related adverse eventsimmunotherapymachine learningnon-small cell lung cancersurvival analysistyrosine kinase inhibitors (TKI)

Identifiers

PMID36860308
PMCPMC9968834

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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.