Literature DB >> 20827732

Evaluation of changes in serum protein profiles during neoadjuvant chemotherapy in HER2-positive breast cancer using an LC-MALDI-TOF/MS procedure.

Chafika Mazouni1, Keith Baggerly, David Hawke, Spyros Tsavachidis, Fabrice André, Aman U Buzdar, Pierre-Marie Martin, Ryuji Kobayashi, Lajos Pusztai.   

Abstract

Comparison of protein profiles of sera acquired before and after preoperative chemotherapy for breast cancer may reveal tumor markers that could be used to monitor tumor response. In this study, we analyzed pre- and post-chemotherapy protein profiles of sera from 39 HER2-postive breast cancer patients (n=78 samples) who received 6 months of preoperative chemotherapy using LC-MALDI-TOF/MS technology. We detected qualitative and quantitative differences in pair-wise comparison of pre- and post chemotherapy samples that were different in patients who achieved pathological complete response (pCR, n=21) compared with those with residual disease (n=18). We identified 2329 and 3152 peaks as differentially expressed in the pre-chemotherapy samples of the responders and non-responders. Comparison of matching pre- and post-chemotherapy samples identified 34 (32 decreased, two increased) and 304 peaks (157 decreased, 147 increased) that significantly changed (p<0.01, false discovery rate ≤ 20%) after treatment in responders and non-responders, respectively. The top 11 most significantly altered peptide peaks with the greatest change in intensity were positively identified. These corresponded to eight proteins including α-2-macroglobulin, complement 3, hemopexin, and serum amyloid P in the responder group and chains C and A of apolipoprotein A-I, hemopexin precursor, complement C, and amyloid P component in the non-responding groups. All proteins decreased after therapy, except chain C apolipoprotein A and hemopexin precursor that increased. These results suggest that changes in serum protein levels occur in response to chemotherapy and these changes partly appear different in patients who are highly sensitive to chemotherapy compared with those with lesser response.

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Year:  2010        PMID: 20827732     DOI: 10.1002/pmic.201000057

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  7 in total

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Review 4.  Prediction of individual response to anticancer therapy: historical and future perspectives.

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6.  Nomogram basing pre-treatment parameters predicting early response for locally advanced rectal cancer with neoadjuvant chemotherapy alone: a subgroup efficacy analysis of FOWARC study.

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

Authors:  Sungchan Gwark; Hee-Sung Ahn; Jeonghun Yeom; Jiyoung Yu; Yumi Oh; Jae Ho Jeong; Jin-Hee Ahn; Kyung Hae Jung; Sung-Bae Kim; Hee Jin Lee; Gyungyub Gong; Sae Byul Lee; Il Yong Chung; Hee Jeong Kim; Beom Seok Ko; Jong Won Lee; Byung Ho Son; Sei Hyun Ahn; Kyunggon Kim; Jisun Kim
Journal:  Cancers (Basel)       Date:  2021-12-14       Impact factor: 6.639

  7 in total

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