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PXD027878

PXD027878 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleIntra-tumor heterogeneity revealed by mass spectrometry im-aging is associated with the prognosis of breast cancer
DescriptionIntra-tumor heterogeneity (ITH) results from coexistence of genetically distinct cancer cell (sub)populations, their phenotypic plasticity, and the presence of heterotypic components of the tumor microenvironment (TME). Here we addressed potential association between phenotypic ITH revealed by mass spectrometry imaging (MSI) and the prognosis of breast cancer. Tissue specimens resected from 59 patients treated radically due to the locally advanced HER2-positive invasive ductal carcinoma were included in the study. After on-tissue trypsin digestion of cellu-lar proteins, peptide maps of all cancer regions (about 380,000 spectra in total) were segmented by an unsupervised approach to reveal their intrinsic heterogeneity. A high degree of similarity between spectra was observed, which indicated relative homogeneity of cancer regions. How-ever, when the number and diversity of the detected clusters of spectra were analyzed, differ-ences between patient groups were observed. It is noteworthy that a higher degree of heteroge-neity was found in tumors from patients who remained disease-free during a 5-year follow-up (n=38) compared to tumors from patients with progressive disease (distant metastases detected during follow-up, n=21). Interestingly, such differences were not observed between patients with different status of regional lymph nodes, cancer grade, or expression of estrogen receptor at the time of the primary treatment. Subsequently, spectral components with different abundance in cancer regions were detected in patients with different outcomes, and their hypothetical identity was established by assignment to measured masses of tryptic peptides identified in correspond-ing tissue lysates. Such differentiating components were associated with proteins involved in immune regulation and hemostasis. We postulate that a higher heterogeneity of tumors with a better prognosis could reflect the presence of heterotypic components including the microvas-culature and infiltrating immune cells, that facilitated response to treatment.
HostingRepositoryPRIDE
AnnounceDate2022-02-17
AnnouncementXMLSubmission_2022-02-17_05:45:23.893.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterMonika Pietrowska
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListmonohydroxylated residue; iodoacetamide derivatized residue
Instrumentultraflex
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-08-11 22:19:57ID requested
12022-02-17 05:45:25announced
Publication List
Gawin M, Kurczyk A, Niemiec J, Stanek-Widera A, Grela-Wojewoda A, Adamczyk A, Biskup-Fru, ż, y, ń, ska M, Pola, ń, ska J, Wid, ł, ak P, Intra-Tumor Heterogeneity Revealed by Mass Spectrometry Imaging Is Associated with the Prognosis of Breast Cancer. Cancers (Basel), 13(17):(2021) [pubmed]
Keyword List
submitter keyword: HER2-positive breast cancer
intra-tumor heterogeneity
mass spectrometry imaging
prognosis
long-term outcome
tumor microenvironment
Contact List
Piotr Widłak
contact affiliationMaria Skłodowska-Curie National Research Institute of Oncology Gliwice Branch, Gliwice, Poland
contact emailpiotr.widlak@io.gliwice.pl
lab head
Monika Pietrowska
contact affiliationMaria Sklodowska-Curie National Research Institute of Oncology
contact emailmonika.pietrowska@io.gliwice.pl
dataset submitter
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Dataset FTP location
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