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Predictive Role of Biopsy Based Biomarkers for Radiotherapy Treatment in Rectal Cancer

Background and Purpose: Radiation therapy has long been contemplated as an important mode in the treatment of rectal cancer. However, there are few ideal tools available for clinicians to make a radiotherapy decision at the time of diagnosis for rectal cancer. The purpose of this study was to assess...

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Autores principales: Wen, Yugang, Zhao, Senlin, Holmqvist, Annica, Hahn-Stromberg, Victoria, Adell, Gunnar, Holmlund, Birgitta, Pathak, Surajit, Peng, Zhihai, Sun, Xiao-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712120/
https://www.ncbi.nlm.nih.gov/pubmed/33066317
http://dx.doi.org/10.3390/jpm10040168
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author Wen, Yugang
Zhao, Senlin
Holmqvist, Annica
Hahn-Stromberg, Victoria
Adell, Gunnar
Holmlund, Birgitta
Pathak, Surajit
Peng, Zhihai
Sun, Xiao-Feng
author_facet Wen, Yugang
Zhao, Senlin
Holmqvist, Annica
Hahn-Stromberg, Victoria
Adell, Gunnar
Holmlund, Birgitta
Pathak, Surajit
Peng, Zhihai
Sun, Xiao-Feng
author_sort Wen, Yugang
collection PubMed
description Background and Purpose: Radiation therapy has long been contemplated as an important mode in the treatment of rectal cancer. However, there are few ideal tools available for clinicians to make a radiotherapy decision at the time of diagnosis for rectal cancer. The purpose of this study was to assess whether biomarkers expressed in the biopsy could help to choose the suitable therapy and provide predictive and/or prognostic information. Experimental Design: In total, 30 biomarkers were analyzed in 219 biopsy samples before treatment to discover the possibility of using them as an indicator for radiotherapy selection, diagnosis, survival and recurrence. Results: Twenty-two biomarkers (COX2-RT, COX2-NonRT, etc.; 36.67%) had diagnostic value. For survival, four biomarkers (NFKBP65, p130, PINCH and PPAR) were significant in regulating gene promoter activity and overall survival, while four had a trend (AEG1, LOX, SATB1 and SIRT6). Three biomarkers (COX2, PINCH and WRAP53) correlated with disease-free survival, while eight had a trend (AEG1, COX2, Ki67, LOX, NFKBP65, PPAR and SATB1). Four biomarkers (COX2-RT, NFKBP65cyto-RT, P130cyto-NonRT and PPARcyto-RT) were independent prognostic factors for recurrence. NFKBP65 and SIRT6 were significantly correlated with lymph node metastasis regardless of radiation. Patients with high AEG1, LOX, NFKBP65, PPAR and SATB1 had or showed a positive trend for better survival after radiotherapy, while those with positive PINCH and WRAP53 expression would not benefit from radiotherapy. Conclusions: AEG1, LOX, NFKBP65cyto, PPAR and SATB1 could be used as indicators for choosing radiotherapy. COX2-RT, COX2-NonRT and some other biomarkers may provide additional help for diagnosis.
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spelling pubmed-77121202020-12-04 Predictive Role of Biopsy Based Biomarkers for Radiotherapy Treatment in Rectal Cancer Wen, Yugang Zhao, Senlin Holmqvist, Annica Hahn-Stromberg, Victoria Adell, Gunnar Holmlund, Birgitta Pathak, Surajit Peng, Zhihai Sun, Xiao-Feng J Pers Med Article Background and Purpose: Radiation therapy has long been contemplated as an important mode in the treatment of rectal cancer. However, there are few ideal tools available for clinicians to make a radiotherapy decision at the time of diagnosis for rectal cancer. The purpose of this study was to assess whether biomarkers expressed in the biopsy could help to choose the suitable therapy and provide predictive and/or prognostic information. Experimental Design: In total, 30 biomarkers were analyzed in 219 biopsy samples before treatment to discover the possibility of using them as an indicator for radiotherapy selection, diagnosis, survival and recurrence. Results: Twenty-two biomarkers (COX2-RT, COX2-NonRT, etc.; 36.67%) had diagnostic value. For survival, four biomarkers (NFKBP65, p130, PINCH and PPAR) were significant in regulating gene promoter activity and overall survival, while four had a trend (AEG1, LOX, SATB1 and SIRT6). Three biomarkers (COX2, PINCH and WRAP53) correlated with disease-free survival, while eight had a trend (AEG1, COX2, Ki67, LOX, NFKBP65, PPAR and SATB1). Four biomarkers (COX2-RT, NFKBP65cyto-RT, P130cyto-NonRT and PPARcyto-RT) were independent prognostic factors for recurrence. NFKBP65 and SIRT6 were significantly correlated with lymph node metastasis regardless of radiation. Patients with high AEG1, LOX, NFKBP65, PPAR and SATB1 had or showed a positive trend for better survival after radiotherapy, while those with positive PINCH and WRAP53 expression would not benefit from radiotherapy. Conclusions: AEG1, LOX, NFKBP65cyto, PPAR and SATB1 could be used as indicators for choosing radiotherapy. COX2-RT, COX2-NonRT and some other biomarkers may provide additional help for diagnosis. MDPI 2020-10-13 /pmc/articles/PMC7712120/ /pubmed/33066317 http://dx.doi.org/10.3390/jpm10040168 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wen, Yugang
Zhao, Senlin
Holmqvist, Annica
Hahn-Stromberg, Victoria
Adell, Gunnar
Holmlund, Birgitta
Pathak, Surajit
Peng, Zhihai
Sun, Xiao-Feng
Predictive Role of Biopsy Based Biomarkers for Radiotherapy Treatment in Rectal Cancer
title Predictive Role of Biopsy Based Biomarkers for Radiotherapy Treatment in Rectal Cancer
title_full Predictive Role of Biopsy Based Biomarkers for Radiotherapy Treatment in Rectal Cancer
title_fullStr Predictive Role of Biopsy Based Biomarkers for Radiotherapy Treatment in Rectal Cancer
title_full_unstemmed Predictive Role of Biopsy Based Biomarkers for Radiotherapy Treatment in Rectal Cancer
title_short Predictive Role of Biopsy Based Biomarkers for Radiotherapy Treatment in Rectal Cancer
title_sort predictive role of biopsy based biomarkers for radiotherapy treatment in rectal cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712120/
https://www.ncbi.nlm.nih.gov/pubmed/33066317
http://dx.doi.org/10.3390/jpm10040168
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