Cargando…

Risk score for non-small cell lung cancer patients starting checkpoint inhibitor treatment

BACKGROUND: Prognosis of metastatic non-small cell lung cancer significantly improved with the availability of checkpoint inhibitors (anti-PD-1/PD-L1). Unfortunately, reliable biomarkers to predict treatment benefit are lacking. PATIENTS AND METHODS: We prospectively collected clinical and laborator...

Descripción completa

Detalles Bibliográficos
Autores principales: Diem, Stefan, Fässler, Mirjam, Hasan Ali, Omar, Siano, Marco, Niederer, Rebekka, Berner, Fiamma, Roux, Guillaume-Alexandre, Ackermann, Christoph Jakob, Schmid, Sabine, Güsewell, Sabine, Früh, Martin, Flatz, Lukas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6234997/
https://www.ncbi.nlm.nih.gov/pubmed/30519101
http://dx.doi.org/10.2147/CMAR.S179767
_version_ 1783370809440468992
author Diem, Stefan
Fässler, Mirjam
Hasan Ali, Omar
Siano, Marco
Niederer, Rebekka
Berner, Fiamma
Roux, Guillaume-Alexandre
Ackermann, Christoph Jakob
Schmid, Sabine
Güsewell, Sabine
Früh, Martin
Flatz, Lukas
author_facet Diem, Stefan
Fässler, Mirjam
Hasan Ali, Omar
Siano, Marco
Niederer, Rebekka
Berner, Fiamma
Roux, Guillaume-Alexandre
Ackermann, Christoph Jakob
Schmid, Sabine
Güsewell, Sabine
Früh, Martin
Flatz, Lukas
author_sort Diem, Stefan
collection PubMed
description BACKGROUND: Prognosis of metastatic non-small cell lung cancer significantly improved with the availability of checkpoint inhibitors (anti-PD-1/PD-L1). Unfortunately, reliable biomarkers to predict treatment benefit are lacking. PATIENTS AND METHODS: We prospectively collected clinical and laboratory data of 56 non-small cell lung cancer patients treated with a checkpoint inhibitor. The aim was to identify baseline parameters correlating with worse outcome and to create a risk score that enabled to stratify patients into different risk groups. As inflammation is known to promote tumor growth, we focused on inflammation markers in the blood. Disease control (DC) was defined as complete response, partial response, and stable disease on CT scan according to RECIST 1.1. RESULTS: Half of the patients achieved DC. Four parameters differed significantly between the DC group and the no disease control group: Eastern Cooperative Oncology Group performance status (P=0.009), number of organs with metastases (P=0.001), lactate dehydrogenase (P=0.029), and ferritin (P=0.005). A risk score defined as the number of these parameters (0= no risk factor) exceeding a threshold (Eastern Cooperative Oncology Group performance status ≥2, number of organs with metastases ≥4, lactate dehydrogenase ≥262U/L, and ferritin ≥241 µg/L) was associated with overall survival and progression-free survival. Overall survival at 6 and 12 months is as follows: Scores 0–1: 95% and 95%; Score 2: 67% and ≤33%; Scores 3–4: 15% and 0%. Progression-free survival at 6 and 12 months is as follows: Scores 0–1: 81% and 50%; Score 2: 25% and ≤25%; Scores 3–4: 0% and 0%. CONCLUSION: We propose an easy-to-apply risk score categorizing patients into different risk groups before treatment start with a PD-1/PD-L1 antibody.
format Online
Article
Text
id pubmed-6234997
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Dove Medical Press
record_format MEDLINE/PubMed
spelling pubmed-62349972018-12-05 Risk score for non-small cell lung cancer patients starting checkpoint inhibitor treatment Diem, Stefan Fässler, Mirjam Hasan Ali, Omar Siano, Marco Niederer, Rebekka Berner, Fiamma Roux, Guillaume-Alexandre Ackermann, Christoph Jakob Schmid, Sabine Güsewell, Sabine Früh, Martin Flatz, Lukas Cancer Manag Res Original Research BACKGROUND: Prognosis of metastatic non-small cell lung cancer significantly improved with the availability of checkpoint inhibitors (anti-PD-1/PD-L1). Unfortunately, reliable biomarkers to predict treatment benefit are lacking. PATIENTS AND METHODS: We prospectively collected clinical and laboratory data of 56 non-small cell lung cancer patients treated with a checkpoint inhibitor. The aim was to identify baseline parameters correlating with worse outcome and to create a risk score that enabled to stratify patients into different risk groups. As inflammation is known to promote tumor growth, we focused on inflammation markers in the blood. Disease control (DC) was defined as complete response, partial response, and stable disease on CT scan according to RECIST 1.1. RESULTS: Half of the patients achieved DC. Four parameters differed significantly between the DC group and the no disease control group: Eastern Cooperative Oncology Group performance status (P=0.009), number of organs with metastases (P=0.001), lactate dehydrogenase (P=0.029), and ferritin (P=0.005). A risk score defined as the number of these parameters (0= no risk factor) exceeding a threshold (Eastern Cooperative Oncology Group performance status ≥2, number of organs with metastases ≥4, lactate dehydrogenase ≥262U/L, and ferritin ≥241 µg/L) was associated with overall survival and progression-free survival. Overall survival at 6 and 12 months is as follows: Scores 0–1: 95% and 95%; Score 2: 67% and ≤33%; Scores 3–4: 15% and 0%. Progression-free survival at 6 and 12 months is as follows: Scores 0–1: 81% and 50%; Score 2: 25% and ≤25%; Scores 3–4: 0% and 0%. CONCLUSION: We propose an easy-to-apply risk score categorizing patients into different risk groups before treatment start with a PD-1/PD-L1 antibody. Dove Medical Press 2018-11-08 /pmc/articles/PMC6234997/ /pubmed/30519101 http://dx.doi.org/10.2147/CMAR.S179767 Text en © 2018 Diem et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Diem, Stefan
Fässler, Mirjam
Hasan Ali, Omar
Siano, Marco
Niederer, Rebekka
Berner, Fiamma
Roux, Guillaume-Alexandre
Ackermann, Christoph Jakob
Schmid, Sabine
Güsewell, Sabine
Früh, Martin
Flatz, Lukas
Risk score for non-small cell lung cancer patients starting checkpoint inhibitor treatment
title Risk score for non-small cell lung cancer patients starting checkpoint inhibitor treatment
title_full Risk score for non-small cell lung cancer patients starting checkpoint inhibitor treatment
title_fullStr Risk score for non-small cell lung cancer patients starting checkpoint inhibitor treatment
title_full_unstemmed Risk score for non-small cell lung cancer patients starting checkpoint inhibitor treatment
title_short Risk score for non-small cell lung cancer patients starting checkpoint inhibitor treatment
title_sort risk score for non-small cell lung cancer patients starting checkpoint inhibitor treatment
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6234997/
https://www.ncbi.nlm.nih.gov/pubmed/30519101
http://dx.doi.org/10.2147/CMAR.S179767
work_keys_str_mv AT diemstefan riskscorefornonsmallcelllungcancerpatientsstartingcheckpointinhibitortreatment
AT fasslermirjam riskscorefornonsmallcelllungcancerpatientsstartingcheckpointinhibitortreatment
AT hasanaliomar riskscorefornonsmallcelllungcancerpatientsstartingcheckpointinhibitortreatment
AT sianomarco riskscorefornonsmallcelllungcancerpatientsstartingcheckpointinhibitortreatment
AT niedererrebekka riskscorefornonsmallcelllungcancerpatientsstartingcheckpointinhibitortreatment
AT bernerfiamma riskscorefornonsmallcelllungcancerpatientsstartingcheckpointinhibitortreatment
AT rouxguillaumealexandre riskscorefornonsmallcelllungcancerpatientsstartingcheckpointinhibitortreatment
AT ackermannchristophjakob riskscorefornonsmallcelllungcancerpatientsstartingcheckpointinhibitortreatment
AT schmidsabine riskscorefornonsmallcelllungcancerpatientsstartingcheckpointinhibitortreatment
AT gusewellsabine riskscorefornonsmallcelllungcancerpatientsstartingcheckpointinhibitortreatment
AT fruhmartin riskscorefornonsmallcelllungcancerpatientsstartingcheckpointinhibitortreatment
AT flatzlukas riskscorefornonsmallcelllungcancerpatientsstartingcheckpointinhibitortreatment