ArticleMolecular & cellular proteomics : MCP2011
A serum protein profile predictive of the resistance to neoadjuvant chemotherapy in advanced breast cancers.
Article in Molecular & cellular proteomics : MCP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 45 citations in OpenAlex.
- Fibrinogen Alpha Chain as a Potential Serum Biomarker for Predicting Response to Cisplatin and Gemcitabine Doublet Chemotherapy in Lung Adenocarcinoma: Integrative Transcriptome and Proteome Analyses.International journal of molecular sciences · 2025Article
- Breast cancer in the era of integrating "Omics" approaches.Oncogenesis · 2022Review
- Correlation Between Immune-Related Genes and Tumor-Infiltrating Immune Cells With the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer.Frontiers in genetics · 2022Article
- Integrated Transcriptomic Analysis Revealed Hub Genes and Pathways Involved in Sorafenib Resistance in Hepatocellular Carcinoma.Pathology oncology research : POR · 2021Article
- Predictors of Neoadjuvant Chemotherapy Response in Breast Cancer: A Review.OncoTargets and therapy · 2020Review
- The Medicinal Plant PairFrontiers in pharmacology · 2019Article
- OLFM4, LY6D and S100A7 as potent markers for distant metastasis in estrogen receptor-positive breast carcinoma.Cancer science · 2018Article
- Identification of key pathways and biomarkers in sorafenib-resistant hepatocellular carcinoma using bioinformatics analysis.Experimental and therapeutic medicine · 2018Article
- Splicing of platelet resident pre-mRNAs upon activation by physiological stimuli results in functionally relevant proteome modifications.Scientific reports · 2018Article
- Characterization of developmental defects in the forebrain resulting from hyperactivated mTOR signaling by integrative analysis of transcriptomic and proteomic data.Scientific reports · 2017Article
- Comprehensive Proteome Profiling of Platelet Identified a Protein Profile Predictive of Responses to An Antiplatelet Agent Sarpogrelate.Molecular & cellular proteomics : MCP · 2016Article
- S100A9 and ORM1 serve as predictors of therapeutic response and prognostic factors in advanced extranodal NK/T cell lymphoma patients treated with pegaspargase/gemcitabine.Scientific reports · 2016Article
- New Method for Joint Network Analysis Reveals Common and Different Coexpression Patterns among Genes and Proteins in Breast Cancer.Journal of proteome research · 2016Article
- Network-Based Protein Biomarker Discovery Platforms.Genomics & informatics · 2016Review
- Development of Diagnostic Biomarkers for Detecting Diabetic Retinopathy at Early Stages Using Quantitative Proteomics.Journal of diabetes research · 2016Article
- Two of Them Do It Better: Novel Serum Biomarkers Improve Autoimmune Hepatitis Diagnosis.PloS one · 2015Article
- A protein profile of visceral adipose tissues linked to early pathogenesis of type 2 diabetes mellitus.Molecular & cellular proteomics : MCP · 2014Article
- Eureka-DMA: an easy-to-operate graphical user interface for fast comprehensive investigation and analysis of DNA microarray data.BMC bioinformatics · 2014Article
- Metabolomics coupled with proteomics advancing drug discovery toward more agile development of targeted combination therapies.Molecular & cellular proteomics : MCP · 2013Article
- Tools for label-free peptide quantification.Molecular & cellular proteomics : MCP · 2013Review
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 3 countries.
Funding
Abstract
Prediction of the responses to neoadjuvant chemotherapy (NACT) can improve the treatment of patients with advanced breast cancer. Genes and proteins predictive of chemoresistance have been extensively studied in breast cancer tissues. However, noninvasive serum biomarkers capable of such prediction have been rarely exploited. Here, we performed profiling of N-glycosylated proteins in serum from fifteen advanced breast cancer patients (ten patients sensitive to and five patients resistant to NACT) to discover serum biomarkers of chemoresistance using a label-free liquid chromatography-tandem MS method. By performing a series of statistical analyses of the proteomic data, we selected thirteen biomarker candidates and tested their differential serum levels by Western blotting in 13 independent samples (eight patients sensitive to and five patients resistant to NACT). Among the candidates, we then selected the final set of six potential serum biomarkers (AHSG, APOB, C3, C9, CP, and ORM1) whose differential expression was confirmed in the independent samples. Finally, we demonstrated that a multivariate classification model using the six proteins could predict responses to NACT and further predict relapse-free survival of patients. In summary, global N-glycoproteome profile in serum revealed a protein pattern predictive of the responses to NACT, which can be further validated in large clinical studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.