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PXD057759-1

PXD057759 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomics and peptidomics of breast cancer subtypes
DescriptionIn our study, we applied high-throughput mass spectrometry, bioinformatic, and machine learning approaches to investigate the proteome, including noncoding RNA (ncRNA)–derived micropeptides, of different breast cancer subtypes. In total, 19 tumor and 18 paired nontumor samples were used to obtain the proteome and peptidome. Among these, 5 samples were classified as LABC (plus 5 paired nontumor samples), 4 as LBBC (HER2−) (plus 4 paired nontumor samples), 4 as HER2+ breast cancer (plus 3 paired nontumor samples), and 6 as TNBC (plus 6 paired nontumor samples). We identified that each subtype depends on different protein expression patterns to sustain its malignancy,and also alterations in pathways and processes that can be associated with each subtype and its biological and clinical behaviors. Regarding subtype biomarkers, our panels achieved performances with at least 75% of sensibility and 92% of specificity. In the validation cohort, the panels obtained acceptable to outstanding performances (AUC = 0.740 to 1.00). We identified 58 peptides expressed on breast tissue, including 27 differentially expressed MPs in tumor compared with nontumor samples and MPs exhibiting tumor or subtype specificity. These peptides presented physicochemical features compatible with the canonical proteome and were predicted to influence the tumor immune environment and participate in cell communication, metabolism, and signaling processes. In addition, some MPs presented potential as anticancer, antiinflammatory, and antiangiogenic molecules.
HostingRepositoryPRIDE
AnnounceDate2024-11-12
AnnouncementXMLSubmission_2024-11-12_04:33:26.881.xml
DigitalObjectIdentifierhttps://dx.doi.org/10.6019/PXD057759
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterMichel Batista
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListiodoacetamide derivatized residue
InstrumentOrbitrap Fusion Lumos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-11-11 13:13:50ID requested
12024-11-12 04:33:28announced
Publication List
Azevedo ALK, Gomig THB, Batista M, Marchini FK, Spautz CC, Rabinovich I, Sebasti, ã, o APM, Oliveira JC, Gradia DF, Cavalli IJ, Ribeiro EMSF, High-throughput proteomics of breast cancer subtypes: Biological characterization and multiple candidate biomarker panels to patients' stratification. J Proteomics, 285():104955(2023) [pubmed]
10.1016/J.LABINV.2024.102150;
10.1016/j.jprot.2023.104955;
10.1016/j.labinv.2024.102150;
10.6019/PXD057759;
de Azevedo ALK, Gomig THB, Batista M, de Oliveira JC, Cavalli IJ, Gradia DF, Ribeiro EMSF, Peptidomics and Machine Learning-based Evaluation of Noncoding RNA-Derived Micropeptides in Breast Cancer: Expression Patterns and Functional/Therapeutic Insights. Lab Invest, 104(12):102150(2024) [pubmed]
Keyword List
submitter keyword: Human, breast cancer, peptidomics, proteomics, LC-MS/MS
Contact List
Enilze Maria de Souza Fonseca Ribeiro
contact affiliationGenetics Post-Graduation Program, Genetics Department, Federal University of Paraná, Curitiba, Brazil
contact emaileribeiro@ufpr.br
lab head
Michel Batista
contact affiliationFiocruz
contact emailbatista.mic@gmail.com
dataset submitter
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Dataset FTP location
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