Cargando…

Data-Independent Acquisition Mass Spectrometry Analysis of FFPE Rectal Cancer Samples Offers In-Depth Proteomics Characterization of the Response to Neoadjuvant Chemoradiotherapy

Locally advanced rectal cancer (LARC) presents a challenge in identifying molecular markers linked to the response to neoadjuvant chemoradiotherapy (nCRT). This study aimed to utilize a sensitive proteomic method, data-independent mass spectrometry (DIA-MS), to extensively analyze the LARC proteome,...

Descripción completa

Detalles Bibliográficos
Autores principales: Stanojevic, Aleksandra, Samiotaki, Martina, Lygirou, Vasiliki, Marinkovic, Mladen, Nikolic, Vladimir, Stojanovic-Rundic, Suzana, Jankovic, Radmila, Vlahou, Antonia, Panayotou, George, Fijneman, Remond J. A., Castellví-Bel, Sergi, Zoidakis, Jerome, Cavic, Milena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10607861/
https://www.ncbi.nlm.nih.gov/pubmed/37895091
http://dx.doi.org/10.3390/ijms242015412
_version_ 1785127643065090048
author Stanojevic, Aleksandra
Samiotaki, Martina
Lygirou, Vasiliki
Marinkovic, Mladen
Nikolic, Vladimir
Stojanovic-Rundic, Suzana
Jankovic, Radmila
Vlahou, Antonia
Panayotou, George
Fijneman, Remond J. A.
Castellví-Bel, Sergi
Zoidakis, Jerome
Cavic, Milena
author_facet Stanojevic, Aleksandra
Samiotaki, Martina
Lygirou, Vasiliki
Marinkovic, Mladen
Nikolic, Vladimir
Stojanovic-Rundic, Suzana
Jankovic, Radmila
Vlahou, Antonia
Panayotou, George
Fijneman, Remond J. A.
Castellví-Bel, Sergi
Zoidakis, Jerome
Cavic, Milena
author_sort Stanojevic, Aleksandra
collection PubMed
description Locally advanced rectal cancer (LARC) presents a challenge in identifying molecular markers linked to the response to neoadjuvant chemoradiotherapy (nCRT). This study aimed to utilize a sensitive proteomic method, data-independent mass spectrometry (DIA-MS), to extensively analyze the LARC proteome, seeking individuals with favorable initial responses suitable for a watch-and-wait approach. This research addresses the unmet need to understand the response to treatment, potentially guiding personalized strategies for LARC patients. Post-treatment assessment included MRI scans and proctoscopy. This research involved 97 LARC patients treated with intense chemoradiotherapy, comprising radiation and chemotherapy. Out of 97 LARC included in this study, we selected 20 samples with the most different responses to nCRT for proteome profiling (responders vs. non-responders). This proteomic approach shows extensive proteome coverage in LARC samples. The analysis identified a significant number of proteins compared to a prior study. A total of 915 proteins exhibited differential expression between the two groups, with certain signaling pathways associated with response mechanisms, while top candidates had good predictive potential. Proteins encoded by genes SMPDL3A, PCTP, LGMN, SYNJ2, NHLRC3, GLB1, and RAB43 showed high predictive potential of unfavorable treatment outcome, while RPA2, SARNP, PCBP2, SF3B2, HNRNPF, RBBP4, MAGOHB, DUT, ERG28, and BUB3 were good predictive biomarkers of favorable treatment outcome. The identified proteins and related biological processes provide promising insights that could enhance the management and care of LARC patients.
format Online
Article
Text
id pubmed-10607861
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-106078612023-10-28 Data-Independent Acquisition Mass Spectrometry Analysis of FFPE Rectal Cancer Samples Offers In-Depth Proteomics Characterization of the Response to Neoadjuvant Chemoradiotherapy Stanojevic, Aleksandra Samiotaki, Martina Lygirou, Vasiliki Marinkovic, Mladen Nikolic, Vladimir Stojanovic-Rundic, Suzana Jankovic, Radmila Vlahou, Antonia Panayotou, George Fijneman, Remond J. A. Castellví-Bel, Sergi Zoidakis, Jerome Cavic, Milena Int J Mol Sci Article Locally advanced rectal cancer (LARC) presents a challenge in identifying molecular markers linked to the response to neoadjuvant chemoradiotherapy (nCRT). This study aimed to utilize a sensitive proteomic method, data-independent mass spectrometry (DIA-MS), to extensively analyze the LARC proteome, seeking individuals with favorable initial responses suitable for a watch-and-wait approach. This research addresses the unmet need to understand the response to treatment, potentially guiding personalized strategies for LARC patients. Post-treatment assessment included MRI scans and proctoscopy. This research involved 97 LARC patients treated with intense chemoradiotherapy, comprising radiation and chemotherapy. Out of 97 LARC included in this study, we selected 20 samples with the most different responses to nCRT for proteome profiling (responders vs. non-responders). This proteomic approach shows extensive proteome coverage in LARC samples. The analysis identified a significant number of proteins compared to a prior study. A total of 915 proteins exhibited differential expression between the two groups, with certain signaling pathways associated with response mechanisms, while top candidates had good predictive potential. Proteins encoded by genes SMPDL3A, PCTP, LGMN, SYNJ2, NHLRC3, GLB1, and RAB43 showed high predictive potential of unfavorable treatment outcome, while RPA2, SARNP, PCBP2, SF3B2, HNRNPF, RBBP4, MAGOHB, DUT, ERG28, and BUB3 were good predictive biomarkers of favorable treatment outcome. The identified proteins and related biological processes provide promising insights that could enhance the management and care of LARC patients. MDPI 2023-10-21 /pmc/articles/PMC10607861/ /pubmed/37895091 http://dx.doi.org/10.3390/ijms242015412 Text en © 2023 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
Stanojevic, Aleksandra
Samiotaki, Martina
Lygirou, Vasiliki
Marinkovic, Mladen
Nikolic, Vladimir
Stojanovic-Rundic, Suzana
Jankovic, Radmila
Vlahou, Antonia
Panayotou, George
Fijneman, Remond J. A.
Castellví-Bel, Sergi
Zoidakis, Jerome
Cavic, Milena
Data-Independent Acquisition Mass Spectrometry Analysis of FFPE Rectal Cancer Samples Offers In-Depth Proteomics Characterization of the Response to Neoadjuvant Chemoradiotherapy
title Data-Independent Acquisition Mass Spectrometry Analysis of FFPE Rectal Cancer Samples Offers In-Depth Proteomics Characterization of the Response to Neoadjuvant Chemoradiotherapy
title_full Data-Independent Acquisition Mass Spectrometry Analysis of FFPE Rectal Cancer Samples Offers In-Depth Proteomics Characterization of the Response to Neoadjuvant Chemoradiotherapy
title_fullStr Data-Independent Acquisition Mass Spectrometry Analysis of FFPE Rectal Cancer Samples Offers In-Depth Proteomics Characterization of the Response to Neoadjuvant Chemoradiotherapy
title_full_unstemmed Data-Independent Acquisition Mass Spectrometry Analysis of FFPE Rectal Cancer Samples Offers In-Depth Proteomics Characterization of the Response to Neoadjuvant Chemoradiotherapy
title_short Data-Independent Acquisition Mass Spectrometry Analysis of FFPE Rectal Cancer Samples Offers In-Depth Proteomics Characterization of the Response to Neoadjuvant Chemoradiotherapy
title_sort data-independent acquisition mass spectrometry analysis of ffpe rectal cancer samples offers in-depth proteomics characterization of the response to neoadjuvant chemoradiotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10607861/
https://www.ncbi.nlm.nih.gov/pubmed/37895091
http://dx.doi.org/10.3390/ijms242015412
work_keys_str_mv AT stanojevicaleksandra dataindependentacquisitionmassspectrometryanalysisofffperectalcancersamplesoffersindepthproteomicscharacterizationoftheresponsetoneoadjuvantchemoradiotherapy
AT samiotakimartina dataindependentacquisitionmassspectrometryanalysisofffperectalcancersamplesoffersindepthproteomicscharacterizationoftheresponsetoneoadjuvantchemoradiotherapy
AT lygirouvasiliki dataindependentacquisitionmassspectrometryanalysisofffperectalcancersamplesoffersindepthproteomicscharacterizationoftheresponsetoneoadjuvantchemoradiotherapy
AT marinkovicmladen dataindependentacquisitionmassspectrometryanalysisofffperectalcancersamplesoffersindepthproteomicscharacterizationoftheresponsetoneoadjuvantchemoradiotherapy
AT nikolicvladimir dataindependentacquisitionmassspectrometryanalysisofffperectalcancersamplesoffersindepthproteomicscharacterizationoftheresponsetoneoadjuvantchemoradiotherapy
AT stojanovicrundicsuzana dataindependentacquisitionmassspectrometryanalysisofffperectalcancersamplesoffersindepthproteomicscharacterizationoftheresponsetoneoadjuvantchemoradiotherapy
AT jankovicradmila dataindependentacquisitionmassspectrometryanalysisofffperectalcancersamplesoffersindepthproteomicscharacterizationoftheresponsetoneoadjuvantchemoradiotherapy
AT vlahouantonia dataindependentacquisitionmassspectrometryanalysisofffperectalcancersamplesoffersindepthproteomicscharacterizationoftheresponsetoneoadjuvantchemoradiotherapy
AT panayotougeorge dataindependentacquisitionmassspectrometryanalysisofffperectalcancersamplesoffersindepthproteomicscharacterizationoftheresponsetoneoadjuvantchemoradiotherapy
AT fijnemanremondja dataindependentacquisitionmassspectrometryanalysisofffperectalcancersamplesoffersindepthproteomicscharacterizationoftheresponsetoneoadjuvantchemoradiotherapy
AT castellvibelsergi dataindependentacquisitionmassspectrometryanalysisofffperectalcancersamplesoffersindepthproteomicscharacterizationoftheresponsetoneoadjuvantchemoradiotherapy
AT zoidakisjerome dataindependentacquisitionmassspectrometryanalysisofffperectalcancersamplesoffersindepthproteomicscharacterizationoftheresponsetoneoadjuvantchemoradiotherapy
AT cavicmilena dataindependentacquisitionmassspectrometryanalysisofffperectalcancersamplesoffersindepthproteomicscharacterizationoftheresponsetoneoadjuvantchemoradiotherapy