Topotecan in a Real-World Small-Cell Lung Cancer Cohort: Prognostic Biomarkers Improve Selection of Patients for Second-Line Treatment.

SCLC chemotherapy prognostic markers topotecan

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
19 Jul 2024
Historique:
received: 02 06 2024
revised: 15 07 2024
accepted: 18 07 2024
medline: 27 7 2024
pubmed: 27 7 2024
entrez: 27 7 2024
Statut: epublish

Résumé

Small-cell lung cancer (SCLC) is a highly aggressive tumor, and overall survival (OS) remains poor despite intensive efforts to develop new treatment strategies. In second line, topotecan is the only approved drug, with a median OS of 5.9 months. However, real-world SCLC patients are often in worse condition and harbor more comorbidities than study populations. Therefore, the real-world performance of topotecan may differ from that seen in studies. Here, we analyzed outcomes of SCLC patients receiving topotecan and identified predictive and prognostic markers. We retrospectively analyzed 44 consecutive SCLC patients receiving topotecan between 2015 and 2022. We analyzed baseline characteristics (age, ECOG-PS, topotecan cycles, and dosage) and pre-treatment blood values (LDH, CRP, sodium) as well as prognostic scores (neutrophil/lymphocyte ratio (NLR), thrombocyte/lymphocyte ratio (TLR), Glasgow Prognostic Score, prognostic nutritional score, systemic inflammation index (SII), and the prognostic index) extracted from electronic patients' charts to identify predictive and prognostic markers. In our cohort, mPFS and mOS were only 1.9 and 5.6 months, respectively. Gender, ECOG-PS, active brain metastases, NLR, GPS, PNI, and SII significantly influenced PFS and OS in univariate analysis. ECOG-PS ( The efficacy of topotecan in SCLC real-world patients is poor, indicating that many patients were treated without any benefit. Easy-to-obtain markers can predict response and treatment efficacy and should therefore be validated in larger cohorts to identify patients who are more likely to benefit from topotecan.

Sections du résumé

BACKGROUND BACKGROUND
Small-cell lung cancer (SCLC) is a highly aggressive tumor, and overall survival (OS) remains poor despite intensive efforts to develop new treatment strategies. In second line, topotecan is the only approved drug, with a median OS of 5.9 months. However, real-world SCLC patients are often in worse condition and harbor more comorbidities than study populations. Therefore, the real-world performance of topotecan may differ from that seen in studies. Here, we analyzed outcomes of SCLC patients receiving topotecan and identified predictive and prognostic markers.
PATIENTS AND METHODS METHODS
We retrospectively analyzed 44 consecutive SCLC patients receiving topotecan between 2015 and 2022. We analyzed baseline characteristics (age, ECOG-PS, topotecan cycles, and dosage) and pre-treatment blood values (LDH, CRP, sodium) as well as prognostic scores (neutrophil/lymphocyte ratio (NLR), thrombocyte/lymphocyte ratio (TLR), Glasgow Prognostic Score, prognostic nutritional score, systemic inflammation index (SII), and the prognostic index) extracted from electronic patients' charts to identify predictive and prognostic markers.
RESULTS RESULTS
In our cohort, mPFS and mOS were only 1.9 and 5.6 months, respectively. Gender, ECOG-PS, active brain metastases, NLR, GPS, PNI, and SII significantly influenced PFS and OS in univariate analysis. ECOG-PS (
CONCLUSIONS CONCLUSIONS
The efficacy of topotecan in SCLC real-world patients is poor, indicating that many patients were treated without any benefit. Easy-to-obtain markers can predict response and treatment efficacy and should therefore be validated in larger cohorts to identify patients who are more likely to benefit from topotecan.

Identifiants

pubmed: 39061709
pii: diagnostics14141572
doi: 10.3390/diagnostics14141572
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Laura Lambrecht (L)

Department of Medicine V, University Hospital, LMU Munich, 81337 Munich, Germany.
Comprehensive Pneumology Center (CPC), Member of the German Center for Lung Research (DZL), University of Munich (LMU), 81337 Munich, Germany.

Paola Arnold (P)

Department of Medicine V, University Hospital, LMU Munich, 81337 Munich, Germany.
Comprehensive Pneumology Center (CPC), Member of the German Center for Lung Research (DZL), University of Munich (LMU), 81337 Munich, Germany.

Jürgen Behr (J)

Department of Medicine V, University Hospital, LMU Munich, 81337 Munich, Germany.
Comprehensive Pneumology Center (CPC), Member of the German Center for Lung Research (DZL), University of Munich (LMU), 81337 Munich, Germany.

Pontus Mertsch (P)

Department of Medicine V, University Hospital, LMU Munich, 81337 Munich, Germany.
Comprehensive Pneumology Center (CPC), Member of the German Center for Lung Research (DZL), University of Munich (LMU), 81337 Munich, Germany.

Amanda Tufman (A)

Department of Medicine V, University Hospital, LMU Munich, 81337 Munich, Germany.
Comprehensive Pneumology Center (CPC), Member of the German Center for Lung Research (DZL), University of Munich (LMU), 81337 Munich, Germany.

Diego Kauffmann-Guerrero (D)

Department of Medicine V, University Hospital, LMU Munich, 81337 Munich, Germany.
Comprehensive Pneumology Center (CPC), Member of the German Center for Lung Research (DZL), University of Munich (LMU), 81337 Munich, Germany.

Classifications MeSH