Evidence map›Paper›PMID 38476335›Full record

ArticleMolecular and clinical oncology2024

Clinical predictors of response to single‑agent immune checkpoint inhibitors in chemotherapy‑pretreated non‑small cell lung cancer.

Aram A Musaelyan, Fedor V Moiseyenko, Tancholpon E Emileva, Ani P Oganesyan, Karina A Oganyan, Magaripa A Urtenova, Svetlana V Odintsova, Ivan V Chistyakov, Alexey M Degtyarev, Andrey L Akopov and 2 more

Abstract read
In one paragraph

Article in Molecular and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Overview on biomarkers for immune oncology drugs.Exploration of targeted anti-tumor therapy · 2025
    Review
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.

Aram A MusaelyanDepartment of Clinical Oncology, Pavlov First Saint Petersburg State Medical University, Saint Petersburg 197022, Russia.
Fedor V MoiseyenkoN.P. Napalkov City Cancer Center, Ministry of Public Health of The Russian Federation, Saint Petersburg 197758, Russia.
Tancholpon E EmilevaDepartment of Clinical Oncology, Pavlov First Saint Petersburg State Medical University, Saint Petersburg 197022, Russia.
Ani P OganesyanN.P. Napalkov City Cancer Center, Ministry of Public Health of The Russian Federation, Saint Petersburg 197758, Russia.
Karina A OganyanDepartment of Clinical Oncology, Pavlov First Saint Petersburg State Medical University, Saint Petersburg 197022, Russia.
Magaripa A UrtenovaDepartment of Clinical Oncology, Pavlov First Saint Petersburg State Medical University, Saint Petersburg 197022, Russia.
Svetlana V OdintsovaDepartment of Clinical Oncology, Pavlov First Saint Petersburg State Medical University, Saint Petersburg 197022, Russia.
Ivan V ChistyakovDepartment of Clinical Oncology, Pavlov First Saint Petersburg State Medical University, Saint Petersburg 197022, Russia.
Alexey M DegtyarevSochi Cancer City Hospital No. 2, Sochi 354057, Russia.
Andrey L AkopovDepartment of Clinical Oncology, Pavlov First Saint Petersburg State Medical University, Saint Petersburg 197022, Russia.
Evgeny N ImyanitovResearch Institute of Medical Primatology, Sochi 354376, Russia.
Sergey V OrlovDepartment of Clinical Oncology, Pavlov First Saint Petersburg State Medical University, Saint Petersburg 197022, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-agent immune checkpoint inhibitors (ICIs) are the standard option for chemotherapy-pretreated metastatic non-small cell lung cancer (NSCLC), however only a subset of patients responds to this treatment. The present study aimed at the development of a tool for personalized prediction of the efficacy of ICIs. The study included 181 epidermal growth factor receptor/anaplastic lymphoma kinase-negative patients with metastatic NSCLC receiving single-agent ICI in the second or later line of therapy. For the comparison, a total of 63 metastatic patients with NSCLC treated by chemotherapy were also analyzed. Multivariate analysis revealed that Eastern Cooperative Oncology Group performance status (ECOG PS) ≥2, never-smoking status and the baseline neutrophil-to-lymphocyte ratio (NLR) ≥4.3 were associated with reduced progression-free survival (PFS) and overall survival (OS) [ECOG PS: Hazard ratio (HR)=2.09; P=0.028 and HR=2.02; P=0.035, respectively; never-smoking: HR=3.53; P=0.007 and HR=1.80; P=0.004, respectively; NLR ≥4.3: HR=4.34; P<0.0001 and HR=4.89; P<0.0001 respectively]. Patients with an NLR <4.3, who had a favorable ECOG PS (0-1) and smoking history in the past, derived the utmost benefit from ICI [n=77; objective response rate (ORR)=35%; PFS and OS: 17.1 and 33.7 months, respectively]. The worst efficacy of ICI was observed in patients who had an NLR ≥4.3 coupled with poor ECOG PS and/or never-smoking status (n=38; ORR=8%; PFS=3.2 months and OS=7.2 months). The remaining patients belonged to the group with intermediate outcomes (n=66; ORR=17%; PFS and OS: 4.3 and 12.2 months, respectively). While combination of these factors was highly predictive for ICIs, it was not associated with outcomes of chemotherapy treatment. Easily available characteristics of the patients allow for highly accurate predictions of outcomes of single-agent ICI therapy in chemotherapy-pretreated NSCLC.

Indexed as

ECOGimmune checkpoint inhibitorsneutrophil-to-lymphocyte rationon-small cell lung cancerperipheral blood biomarkersmoking

Identifiers

PMID38476335
PMCPMC10928663

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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.