Evidence map›Paper›PMID 39570469›Full record

ArticleDiscover oncology2024

Assessing the predictive role of platelet-lymphocyte ratio in EGFR-mutated non-small cell lung cancer patients treated with tyrosine kinase inhibitors: an analysis across TKI generations.

Ryan Cooper, Dhruv Ramaswami, Jacob S Thomas, Jorge J Nieva, Robert Hsu

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ryan CooperUniversity of Southern California Keck School of Medicine, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-5473-2392
Dhruv RamaswamiUniversity of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-9798-2877
Jacob S ThomasDepartment of Internal Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-8420-366X
Jorge J NievaDepartment of Internal Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-1605-4719
Robert HsuDepartment of Internal Medicine, Division of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA. robert.hsu@med.usc.edu.ORCID http://orcid.org/0000-0003-3957-6106

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
NCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

introductionThe predictive utility of laboratory markers in patients with non-small cell lung cancer (NSCLC) harboring EGFR mutations treated with tyrosine kinase inhibitors (TKIs) is an ongoing area of research. The predictability of the platelet-lymphocyte ratio (PLR) on survival outcomes depending on the generation of EGFR TKI is undetermined.

methods151 patients treated with EGFR TKIs in Los Angeles were grouped according to generation of TKI. Differences in progression free survival (PFS) by stratification by PLR was determined using Kaplan-Meier analysis. Differences in median change in laboratory markers by generation of TKI was analyzed using Mann-Whitney tests. Cox Hazard Regression was used to perform multivariate analysis.

resultsMedian PFS of those managed with 1st or 2nd generation TKIs was significantly lower in patients with a PLR ≥ 180 (10.5 months) compared to those with PLR < 180 (16.6 months, p = 0.0163). Median PFS was comparable in those treated with osimertinib regardless of PLR. Patients managed with osimertinib had a significant decrease in absolute lymphocyte count (ALC) at 6 weeks and in platelets at 6 weeks and 3 months compared to those managed with 1st or 2nd generation TKIs. DISCUSSION: The predictive value of PLR was more apparent in patients treated with 1st or 2nd generation TKIs compared to those treated with osimertinib. Third generation EGFR TKIs may be more efficacious in treating patients with laboratory findings previously shown to predict poor survival. The significant changes in peripheral cell counts suggest variable tumor microenvironment changes dependent on the generation of TKI received.

Identifiers

PMID39570469
PMCPMC11582238

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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.