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pmid:35599267

iTRAQ proteomics of sentinel lymph nodes for identification of extracellular matrix proteins to flag metastasis in early breast cancer.

Sheetal Pathania · Mohd Imran Khan · Sabyasachi Bandyopadhyay · Suneet Shekhar Singh · Komal Rani · Tanvi Ramesh Parashar · Jnaneshwari Jayaram · Piyush Ranjan Mishra · Anurag Srivastava · Sandeep Mathur · Smriti Hari · Perumal Vanamail · Gururao Hariprasad

Scientific reports · 2022 doi:10.1038/s41598-022-12352-9

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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iTRAQ proteomics of sentinel lymph nodes for identification of extracellular matrix proteins to flag metastasis in early breast cancer.
doi
10.1038/s41598-022-12352-9
pmid
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Sheetal Pathania
[1]
Mohd Imran Khan
[2]
Sabyasachi Bandyopadhyay
[3]
Suneet Shekhar Singh
[4]
Komal Rani
[5]
Tanvi Ramesh Parashar
[6]
Jnaneshwari Jayaram
[7]
Piyush Ranjan Mishra
[8]
Anurag Srivastava
[9]
Sandeep Mathur
[10]
Smriti Hari
[11]
Perumal Vanamail
[12]
Gururao Hariprasad
journal
Scientific reports
year
2022
abstract
Patients with early breast cancer are affected by metastasis to axillary lymph nodes. Metastasis to these nodes is crucial for staging and quality of surgery. Sentinel Lymph Node Biopsy that is currently used to assess lymph node metastasis is not effective. This necessitates identification of biomarkers that can flag metastasis. Early stage breast cancer patients were recruited. Surgical resection of breast was followed by identification of sentinel lymph nodes. Fresh frozen section biopsy was used to assign metastatic and non-metastatic sentinel lymph nodes. Discovery phase included iTRAQ proteomics coupled with mass spectrometric analysis to identify differentially expressed proteins. Data is available via ProteomeXchange with identifier PXD027668. Validation was done by bioinformatic analysis and ELISA. There were 2398 unique protein groups and 109 differentially expressed proteins comparing metastatic and non-metastatic lymph nodes. Forty nine proteins were up-regulated, and sixty proteins that were down regulated in metastatic group. Bioinformatic analysis showed ECM-receptor interaction pathways to be implicated in lymph node metastasis. ELISA confirmed up-regulation of ECM proteins in metastatic lymph nodes. ECM proteins have requisite parameters to be developed as a diagnostic tool to assess status of sentinel lymph nodes to guide surgical intervention in early breast cancer.
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There were 2398 unique protein groups and 109 differentially expressed proteins comparing metastatic and non-metastatic lymph nodes. Forty nine proteins were up-regulated, and sixty proteins that were down regulated in metastatic group.
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Bioinformatic analysis showed ECM-receptor interaction pathways to be implicated in lymph node metastasis.
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iTRAQ proteomics of sentinel lymph nodes for the identification of extra cellular matrix protein signatures that can flag metastasis in early breast cancer
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