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Immunohistochemistry and Radiomic Features for Survival Prediction in Small Cell Lung Cancer

Background: The aim of the study was to evaluate the role of different immunohistochemical and radiomics features in patients with small cell lung cancer (SCLC). Methods: Consecutive patients with histologically proven SCLC with limited (n = 47, 48%) or extensive disease (n = 51, 52%) treated with r...

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Autores principales: Gkika, Eleni, Benndorf, Matthias, Oerther, Benedict, Mohammad, Farid, Beitinger, Susanne, Adebahr, Sonja, Carles, Montserrat, Schimek-Jasch, Tanja, Zamboglou, Constantinos, Frye, Björn C., Bamberg, Fabian, Waller, Cornelius F., Werner, Martin, Grosu, Anca L., Nestle, Ursula, Kayser, Gian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438800/
https://www.ncbi.nlm.nih.gov/pubmed/32903606
http://dx.doi.org/10.3389/fonc.2020.01161
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author Gkika, Eleni
Benndorf, Matthias
Oerther, Benedict
Mohammad, Farid
Beitinger, Susanne
Adebahr, Sonja
Carles, Montserrat
Schimek-Jasch, Tanja
Zamboglou, Constantinos
Frye, Björn C.
Bamberg, Fabian
Waller, Cornelius F.
Werner, Martin
Grosu, Anca L.
Nestle, Ursula
Kayser, Gian
author_facet Gkika, Eleni
Benndorf, Matthias
Oerther, Benedict
Mohammad, Farid
Beitinger, Susanne
Adebahr, Sonja
Carles, Montserrat
Schimek-Jasch, Tanja
Zamboglou, Constantinos
Frye, Björn C.
Bamberg, Fabian
Waller, Cornelius F.
Werner, Martin
Grosu, Anca L.
Nestle, Ursula
Kayser, Gian
author_sort Gkika, Eleni
collection PubMed
description Background: The aim of the study was to evaluate the role of different immunohistochemical and radiomics features in patients with small cell lung cancer (SCLC). Methods: Consecutive patients with histologically proven SCLC with limited (n = 47, 48%) or extensive disease (n = 51, 52%) treated with radiotherapy and chemotherapy at our department were included in the analysis. The expression of different immunohistochemical markers from the initial tissue biopsy, such as CD56, CD44, chromogranin A, synaptophysin, TTF-1, GLUT-1, Hif-1 a, PD-1, and PD-L1, and MIB-1/KI-67 as well as LDH und NSE from the initial blood sample were evaluated. H-scores were additionally generated for CD44, Hif-1a, and GLUT-1. A total of 72 computer tomography (CT) radiomics texture features from a homogenous subgroup (n = 31) of patients were correlated with the immunohistochemistry, the survival (OS), and the progression-free survival (PFS). Results: The median OS, calculated from diagnosis, was 21 months for patients with limited disease and 13 months for patients with extensive disease. The expression of synaptophysin correlated with a better OS (HR 0.546 95% CI 0.308–0.966, p = 0.03). The expression of TTF-1 (HR 0.286, 95% CI: 0.117–0.698, p = 0.006) and a lower GLUT-1 H-score (median = 50, HR: 0.511, 95% CI: 0.260–1.003, p = 0.05) correlated with a better PFS. Patients without chromogranin A expression had a higher risk for developing cerebral metastases (p = 0.02) and patients with PD 1 expression were at risk for developing metastases (p = 0.02). Our radiomics analysis did not reveal a single texture feature that correlated highly with OS or PFS. Correlation coefficients ranged between −0.48 and 0.39 for OS and between −0.46 and 0.38 for PFS. Conclusions: The role of synaptophysin should be further evaluated as synaptophysin-negative patients might profit from treatment intensification. We report an, at most, moderate correlation of radiomics features with overall and progression free survival and no correlation with the expression of different immunohistochemical markers.
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spelling pubmed-74388002020-09-03 Immunohistochemistry and Radiomic Features for Survival Prediction in Small Cell Lung Cancer Gkika, Eleni Benndorf, Matthias Oerther, Benedict Mohammad, Farid Beitinger, Susanne Adebahr, Sonja Carles, Montserrat Schimek-Jasch, Tanja Zamboglou, Constantinos Frye, Björn C. Bamberg, Fabian Waller, Cornelius F. Werner, Martin Grosu, Anca L. Nestle, Ursula Kayser, Gian Front Oncol Oncology Background: The aim of the study was to evaluate the role of different immunohistochemical and radiomics features in patients with small cell lung cancer (SCLC). Methods: Consecutive patients with histologically proven SCLC with limited (n = 47, 48%) or extensive disease (n = 51, 52%) treated with radiotherapy and chemotherapy at our department were included in the analysis. The expression of different immunohistochemical markers from the initial tissue biopsy, such as CD56, CD44, chromogranin A, synaptophysin, TTF-1, GLUT-1, Hif-1 a, PD-1, and PD-L1, and MIB-1/KI-67 as well as LDH und NSE from the initial blood sample were evaluated. H-scores were additionally generated for CD44, Hif-1a, and GLUT-1. A total of 72 computer tomography (CT) radiomics texture features from a homogenous subgroup (n = 31) of patients were correlated with the immunohistochemistry, the survival (OS), and the progression-free survival (PFS). Results: The median OS, calculated from diagnosis, was 21 months for patients with limited disease and 13 months for patients with extensive disease. The expression of synaptophysin correlated with a better OS (HR 0.546 95% CI 0.308–0.966, p = 0.03). The expression of TTF-1 (HR 0.286, 95% CI: 0.117–0.698, p = 0.006) and a lower GLUT-1 H-score (median = 50, HR: 0.511, 95% CI: 0.260–1.003, p = 0.05) correlated with a better PFS. Patients without chromogranin A expression had a higher risk for developing cerebral metastases (p = 0.02) and patients with PD 1 expression were at risk for developing metastases (p = 0.02). Our radiomics analysis did not reveal a single texture feature that correlated highly with OS or PFS. Correlation coefficients ranged between −0.48 and 0.39 for OS and between −0.46 and 0.38 for PFS. Conclusions: The role of synaptophysin should be further evaluated as synaptophysin-negative patients might profit from treatment intensification. We report an, at most, moderate correlation of radiomics features with overall and progression free survival and no correlation with the expression of different immunohistochemical markers. Frontiers Media S.A. 2020-08-12 /pmc/articles/PMC7438800/ /pubmed/32903606 http://dx.doi.org/10.3389/fonc.2020.01161 Text en Copyright © 2020 Gkika, Benndorf, Oerther, Mohammad, Beitinger, Adebahr, Carles, Schimek-Jasch, Zamboglou, Frye, Bamberg, Waller, Werner, Grosu, Nestle and Kayser. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Gkika, Eleni
Benndorf, Matthias
Oerther, Benedict
Mohammad, Farid
Beitinger, Susanne
Adebahr, Sonja
Carles, Montserrat
Schimek-Jasch, Tanja
Zamboglou, Constantinos
Frye, Björn C.
Bamberg, Fabian
Waller, Cornelius F.
Werner, Martin
Grosu, Anca L.
Nestle, Ursula
Kayser, Gian
Immunohistochemistry and Radiomic Features for Survival Prediction in Small Cell Lung Cancer
title Immunohistochemistry and Radiomic Features for Survival Prediction in Small Cell Lung Cancer
title_full Immunohistochemistry and Radiomic Features for Survival Prediction in Small Cell Lung Cancer
title_fullStr Immunohistochemistry and Radiomic Features for Survival Prediction in Small Cell Lung Cancer
title_full_unstemmed Immunohistochemistry and Radiomic Features for Survival Prediction in Small Cell Lung Cancer
title_short Immunohistochemistry and Radiomic Features for Survival Prediction in Small Cell Lung Cancer
title_sort immunohistochemistry and radiomic features for survival prediction in small cell lung cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438800/
https://www.ncbi.nlm.nih.gov/pubmed/32903606
http://dx.doi.org/10.3389/fonc.2020.01161
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