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Identification of Novel Molecular Subgroups in Esophageal Adenocarcinoma to Predict Response to Neo-Adjuvant Therapies

SIMPLE SUMMARY: Gene expression of esophageal adenocarcinoma is highly heterogeneous. In general, these cancers have poor prognosis and unpredictable responses to chemo- and radiotherapy. Investigating expression profiles from RNA from pre-treatment biopsies are highly attractive to investigate the...

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Autores principales: Hoefnagel, Sanne J. M., Koemans, Willem J., Khan, Hina N., Koster, Jan, Meijer, Sybren L., van Dieren, Jolanda M., Kodach, Liudmila L., van Sandick, Johanna W., Calpe, Silvia, del Sancho-Serra, Carmen M., Correia, Ana C. P., Van Berge Henegouwen, Mark I., Gisbertz, Suzanne S., Hulshof, Maarten C. C. M., Mattioli, Sandro, Spaander, Manon C. W., Krishnadath, Kausilia K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496882/
https://www.ncbi.nlm.nih.gov/pubmed/36139661
http://dx.doi.org/10.3390/cancers14184498
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author Hoefnagel, Sanne J. M.
Koemans, Willem J.
Khan, Hina N.
Koster, Jan
Meijer, Sybren L.
van Dieren, Jolanda M.
Kodach, Liudmila L.
van Sandick, Johanna W.
Calpe, Silvia
del Sancho-Serra, Carmen M.
Correia, Ana C. P.
Van Berge Henegouwen, Mark I.
Gisbertz, Suzanne S.
Hulshof, Maarten C. C. M.
Mattioli, Sandro
Spaander, Manon C. W.
Krishnadath, Kausilia K.
author_facet Hoefnagel, Sanne J. M.
Koemans, Willem J.
Khan, Hina N.
Koster, Jan
Meijer, Sybren L.
van Dieren, Jolanda M.
Kodach, Liudmila L.
van Sandick, Johanna W.
Calpe, Silvia
del Sancho-Serra, Carmen M.
Correia, Ana C. P.
Van Berge Henegouwen, Mark I.
Gisbertz, Suzanne S.
Hulshof, Maarten C. C. M.
Mattioli, Sandro
Spaander, Manon C. W.
Krishnadath, Kausilia K.
author_sort Hoefnagel, Sanne J. M.
collection PubMed
description SIMPLE SUMMARY: Gene expression of esophageal adenocarcinoma is highly heterogeneous. In general, these cancers have poor prognosis and unpredictable responses to chemo- and radiotherapy. Investigating expression profiles from RNA from pre-treatment biopsies are highly attractive to investigate the existence of diverse biological groups and signatures associated with the clinical response to current treatment strategies. We identified and validated three distinct biological esophageal adenocarcinoma subgroups and identified immune signatures with association to therapy response using RNA sequencing. These findings aid in understanding biological mechanisms’ underlying response to neo-adjuvant treatment. ABSTRACT: Esophageal adenocarcinoma (EAC) is a highly aggressive cancer and its response to chemo- and radiotherapy is unpredictable. EACs are highly heterogeneous at the molecular level. The aim of this study was to perform gene expression analysis of EACs to identify distinct molecular subgroups and to investigate expression signatures in relation to treatment response. In this prospective observational study, RNA sequencing was performed on pre-treatment endoscopic EAC biopsies from a discovery cohort included between 2012 and 2017 in one Dutch Academic Center. Four additional cohorts were analyzed for validation purposes. Unsupervised clustering was performed on 107 patients to identify biological EAC subgroups. Specific cell signaling profiles were identified and evaluated with respect to predicting response to neo-adjuvant chemo(radio)therapy. We identified and validated three distinct biological EAC subgroups, characterized by (1) p38 MAPK/Toll-like receptor signaling; (2) activated immune system; and (3) impaired cell adhesion. Subgroup 1 was associated with poor response to chemo-radiotherapy. Moreover, an immune signature with activated T-cell signaling, and increased number of activated CD4 T memory cells, neutrophils and dendritic cells, and decreased M1 and M2 macrophages and plasma cells, was associated with complete histopathological response. This study provides a novel molecular classification for EACs. EAC subgroup 1 proved to be more therapy-resistant, while immune signaling was increased in patients with complete response to chemo-radiotherapy. Our findings give insight into the biology of EACs and in cellular signaling mechanisms underlying response to neo-adjuvant treatment. Future implementation of this classification will improve patient stratification and enhance the development of targeted therapies.
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spelling pubmed-94968822022-09-23 Identification of Novel Molecular Subgroups in Esophageal Adenocarcinoma to Predict Response to Neo-Adjuvant Therapies Hoefnagel, Sanne J. M. Koemans, Willem J. Khan, Hina N. Koster, Jan Meijer, Sybren L. van Dieren, Jolanda M. Kodach, Liudmila L. van Sandick, Johanna W. Calpe, Silvia del Sancho-Serra, Carmen M. Correia, Ana C. P. Van Berge Henegouwen, Mark I. Gisbertz, Suzanne S. Hulshof, Maarten C. C. M. Mattioli, Sandro Spaander, Manon C. W. Krishnadath, Kausilia K. Cancers (Basel) Article SIMPLE SUMMARY: Gene expression of esophageal adenocarcinoma is highly heterogeneous. In general, these cancers have poor prognosis and unpredictable responses to chemo- and radiotherapy. Investigating expression profiles from RNA from pre-treatment biopsies are highly attractive to investigate the existence of diverse biological groups and signatures associated with the clinical response to current treatment strategies. We identified and validated three distinct biological esophageal adenocarcinoma subgroups and identified immune signatures with association to therapy response using RNA sequencing. These findings aid in understanding biological mechanisms’ underlying response to neo-adjuvant treatment. ABSTRACT: Esophageal adenocarcinoma (EAC) is a highly aggressive cancer and its response to chemo- and radiotherapy is unpredictable. EACs are highly heterogeneous at the molecular level. The aim of this study was to perform gene expression analysis of EACs to identify distinct molecular subgroups and to investigate expression signatures in relation to treatment response. In this prospective observational study, RNA sequencing was performed on pre-treatment endoscopic EAC biopsies from a discovery cohort included between 2012 and 2017 in one Dutch Academic Center. Four additional cohorts were analyzed for validation purposes. Unsupervised clustering was performed on 107 patients to identify biological EAC subgroups. Specific cell signaling profiles were identified and evaluated with respect to predicting response to neo-adjuvant chemo(radio)therapy. We identified and validated three distinct biological EAC subgroups, characterized by (1) p38 MAPK/Toll-like receptor signaling; (2) activated immune system; and (3) impaired cell adhesion. Subgroup 1 was associated with poor response to chemo-radiotherapy. Moreover, an immune signature with activated T-cell signaling, and increased number of activated CD4 T memory cells, neutrophils and dendritic cells, and decreased M1 and M2 macrophages and plasma cells, was associated with complete histopathological response. This study provides a novel molecular classification for EACs. EAC subgroup 1 proved to be more therapy-resistant, while immune signaling was increased in patients with complete response to chemo-radiotherapy. Our findings give insight into the biology of EACs and in cellular signaling mechanisms underlying response to neo-adjuvant treatment. Future implementation of this classification will improve patient stratification and enhance the development of targeted therapies. MDPI 2022-09-16 /pmc/articles/PMC9496882/ /pubmed/36139661 http://dx.doi.org/10.3390/cancers14184498 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hoefnagel, Sanne J. M.
Koemans, Willem J.
Khan, Hina N.
Koster, Jan
Meijer, Sybren L.
van Dieren, Jolanda M.
Kodach, Liudmila L.
van Sandick, Johanna W.
Calpe, Silvia
del Sancho-Serra, Carmen M.
Correia, Ana C. P.
Van Berge Henegouwen, Mark I.
Gisbertz, Suzanne S.
Hulshof, Maarten C. C. M.
Mattioli, Sandro
Spaander, Manon C. W.
Krishnadath, Kausilia K.
Identification of Novel Molecular Subgroups in Esophageal Adenocarcinoma to Predict Response to Neo-Adjuvant Therapies
title Identification of Novel Molecular Subgroups in Esophageal Adenocarcinoma to Predict Response to Neo-Adjuvant Therapies
title_full Identification of Novel Molecular Subgroups in Esophageal Adenocarcinoma to Predict Response to Neo-Adjuvant Therapies
title_fullStr Identification of Novel Molecular Subgroups in Esophageal Adenocarcinoma to Predict Response to Neo-Adjuvant Therapies
title_full_unstemmed Identification of Novel Molecular Subgroups in Esophageal Adenocarcinoma to Predict Response to Neo-Adjuvant Therapies
title_short Identification of Novel Molecular Subgroups in Esophageal Adenocarcinoma to Predict Response to Neo-Adjuvant Therapies
title_sort identification of novel molecular subgroups in esophageal adenocarcinoma to predict response to neo-adjuvant therapies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496882/
https://www.ncbi.nlm.nih.gov/pubmed/36139661
http://dx.doi.org/10.3390/cancers14184498
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