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Plasma Proteome Signature to Predict the Outcome of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy

SIMPLE SUMMARY: The prognostic impact of plasma protein biomarkers in breast cancer patients treated with neoadjuvant chemotherapy (NCT) was evaluated using a proteomics approach. Three biomarkers were identified among differentially expressed proteins. The plasma concentration of APOC3 was higher i...

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Autores principales: Gwark, Sungchan, Ahn, Hee-Sung, Yeom, Jeonghun, Yu, Jiyoung, Oh, Yumi, Jeong, Jae Ho, Ahn, Jin-Hee, Jung, Kyung Hae, Kim, Sung-Bae, Lee, Hee Jin, Gong, Gyungyub, Lee, Sae Byul, Chung, Il Yong, Kim, Hee Jeong, Ko, Beom Seok, Lee, Jong Won, Son, Byung Ho, Ahn, Sei Hyun, Kim, Kyunggon, Kim, Jisun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699627/
https://www.ncbi.nlm.nih.gov/pubmed/34944885
http://dx.doi.org/10.3390/cancers13246267
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author Gwark, Sungchan
Ahn, Hee-Sung
Yeom, Jeonghun
Yu, Jiyoung
Oh, Yumi
Jeong, Jae Ho
Ahn, Jin-Hee
Jung, Kyung Hae
Kim, Sung-Bae
Lee, Hee Jin
Gong, Gyungyub
Lee, Sae Byul
Chung, Il Yong
Kim, Hee Jeong
Ko, Beom Seok
Lee, Jong Won
Son, Byung Ho
Ahn, Sei Hyun
Kim, Kyunggon
Kim, Jisun
author_facet Gwark, Sungchan
Ahn, Hee-Sung
Yeom, Jeonghun
Yu, Jiyoung
Oh, Yumi
Jeong, Jae Ho
Ahn, Jin-Hee
Jung, Kyung Hae
Kim, Sung-Bae
Lee, Hee Jin
Gong, Gyungyub
Lee, Sae Byul
Chung, Il Yong
Kim, Hee Jeong
Ko, Beom Seok
Lee, Jong Won
Son, Byung Ho
Ahn, Sei Hyun
Kim, Kyunggon
Kim, Jisun
author_sort Gwark, Sungchan
collection PubMed
description SIMPLE SUMMARY: The prognostic impact of plasma protein biomarkers in breast cancer patients treated with neoadjuvant chemotherapy (NCT) was evaluated using a proteomics approach. Three biomarkers were identified among differentially expressed proteins. The plasma concentration of APOC3 was higher in the pathological complete response (pCR) group, whereas MBL2, ENG, and P4HB were upregulated in the non-pCR group. Univariate survival analysis was performed to identify protein biomarkers that could classify patients into low- and high-risk groups. The results showed that MBL2 and P4HB were statistically significantly associated with disease-free survival (log-rank test p < 0.05); P4HB was statistically significantly associated with overall survival (log-rank test p < 0.05), whereas MBL2 was statistically significantly associated with distant metastasis-free survival (log-rank test p < 0.05). The results demonstrated that protein markers from non-invasive liquid biopsy sampling correlate with pCR and survival in breast cancer patients receiving NCT. Further investigation of these protein markers may help clarify their role in predicting prognosis and thus their therapeutic potential for preventing metastasis. ABSTRACT: The plasma proteome of 51 non-metastatic breast cancer patients receiving neoadjuvant chemotherapy (NCT) was prospectively analyzed by high-resolution mass spectrometry coupled with nano-flow liquid chromatography using blood drawn at the time of diagnosis. Plasma proteins were identified as potential biomarkers, and their correlation with clinicopathological variables and survival outcomes was analyzed. Of 51 patients, 20 (39.2%) were HR+/HER2-, five (9.8%) were HR+/HER2+, five (9.8%) were HER2+, and 21 (41.2%) were triple-negative subtype. During a median follow-up of 52.0 months, there were 15 relapses (29.4%) and eight deaths (15.7%). Four potential biomarkers were identified among differentially expressed proteins: APOC3 had higher plasma concentrations in the pathological complete response (pCR) group, whereas MBL2, ENG, and P4HB were higher in the non-pCR group. Proteins statistically significantly associated with survival and capable of differentiating low- and high-risk groups were MBL2 and P4HB for disease-free survival, P4HB for overall survival, and MBL2 for distant metastasis-free survival (DMFS). In the multivariate analysis, only MBL2 was a consistent risk factor for DMFS (HR: 9.65, 95% CI 2.10–44.31). The results demonstrate that the proteomes from non-invasive sampling correlate with pCR and survival in breast cancer patients receiving NCT. Further investigation may clarify the role of these proteins in predicting prognosis and thus their therapeutic potential for the prevention of recurrence.
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spelling pubmed-86996272021-12-24 Plasma Proteome Signature to Predict the Outcome of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy Gwark, Sungchan Ahn, Hee-Sung Yeom, Jeonghun Yu, Jiyoung Oh, Yumi Jeong, Jae Ho Ahn, Jin-Hee Jung, Kyung Hae Kim, Sung-Bae Lee, Hee Jin Gong, Gyungyub Lee, Sae Byul Chung, Il Yong Kim, Hee Jeong Ko, Beom Seok Lee, Jong Won Son, Byung Ho Ahn, Sei Hyun Kim, Kyunggon Kim, Jisun Cancers (Basel) Article SIMPLE SUMMARY: The prognostic impact of plasma protein biomarkers in breast cancer patients treated with neoadjuvant chemotherapy (NCT) was evaluated using a proteomics approach. Three biomarkers were identified among differentially expressed proteins. The plasma concentration of APOC3 was higher in the pathological complete response (pCR) group, whereas MBL2, ENG, and P4HB were upregulated in the non-pCR group. Univariate survival analysis was performed to identify protein biomarkers that could classify patients into low- and high-risk groups. The results showed that MBL2 and P4HB were statistically significantly associated with disease-free survival (log-rank test p < 0.05); P4HB was statistically significantly associated with overall survival (log-rank test p < 0.05), whereas MBL2 was statistically significantly associated with distant metastasis-free survival (log-rank test p < 0.05). The results demonstrated that protein markers from non-invasive liquid biopsy sampling correlate with pCR and survival in breast cancer patients receiving NCT. Further investigation of these protein markers may help clarify their role in predicting prognosis and thus their therapeutic potential for preventing metastasis. ABSTRACT: The plasma proteome of 51 non-metastatic breast cancer patients receiving neoadjuvant chemotherapy (NCT) was prospectively analyzed by high-resolution mass spectrometry coupled with nano-flow liquid chromatography using blood drawn at the time of diagnosis. Plasma proteins were identified as potential biomarkers, and their correlation with clinicopathological variables and survival outcomes was analyzed. Of 51 patients, 20 (39.2%) were HR+/HER2-, five (9.8%) were HR+/HER2+, five (9.8%) were HER2+, and 21 (41.2%) were triple-negative subtype. During a median follow-up of 52.0 months, there were 15 relapses (29.4%) and eight deaths (15.7%). Four potential biomarkers were identified among differentially expressed proteins: APOC3 had higher plasma concentrations in the pathological complete response (pCR) group, whereas MBL2, ENG, and P4HB were higher in the non-pCR group. Proteins statistically significantly associated with survival and capable of differentiating low- and high-risk groups were MBL2 and P4HB for disease-free survival, P4HB for overall survival, and MBL2 for distant metastasis-free survival (DMFS). In the multivariate analysis, only MBL2 was a consistent risk factor for DMFS (HR: 9.65, 95% CI 2.10–44.31). The results demonstrate that the proteomes from non-invasive sampling correlate with pCR and survival in breast cancer patients receiving NCT. Further investigation may clarify the role of these proteins in predicting prognosis and thus their therapeutic potential for the prevention of recurrence. MDPI 2021-12-14 /pmc/articles/PMC8699627/ /pubmed/34944885 http://dx.doi.org/10.3390/cancers13246267 Text en © 2021 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
Gwark, Sungchan
Ahn, Hee-Sung
Yeom, Jeonghun
Yu, Jiyoung
Oh, Yumi
Jeong, Jae Ho
Ahn, Jin-Hee
Jung, Kyung Hae
Kim, Sung-Bae
Lee, Hee Jin
Gong, Gyungyub
Lee, Sae Byul
Chung, Il Yong
Kim, Hee Jeong
Ko, Beom Seok
Lee, Jong Won
Son, Byung Ho
Ahn, Sei Hyun
Kim, Kyunggon
Kim, Jisun
Plasma Proteome Signature to Predict the Outcome of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy
title Plasma Proteome Signature to Predict the Outcome of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy
title_full Plasma Proteome Signature to Predict the Outcome of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy
title_fullStr Plasma Proteome Signature to Predict the Outcome of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy
title_full_unstemmed Plasma Proteome Signature to Predict the Outcome of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy
title_short Plasma Proteome Signature to Predict the Outcome of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy
title_sort plasma proteome signature to predict the outcome of breast cancer patients receiving neoadjuvant chemotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699627/
https://www.ncbi.nlm.nih.gov/pubmed/34944885
http://dx.doi.org/10.3390/cancers13246267
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