AI Article Synopsis

  • The study focused on how detecting micrometastasis in sentinel lymph nodes can enhance outcomes in breast cancer follow-ups.
  • Researchers analyzed 50 tumor samples to identify gene expressions using quantitative-PCR and tracked recurrence to distant organs.
  • They found a significant difference in gene expression between normal and cancer samples, linking these markers to the tumor’s stage and grade, suggesting potential for predicting patient outcomes based on a novel gene signature.

Article Abstract

Sentinel lymph node (SLN) micrometstasis detection improves outcome for breast cancer follow up procedure. The aim of the present study was to identify gene profiles that accurately predicted the outcome of breast cancer patients. Fifty tumor sample from breast cancer patients were analyzed for the expression of 3 genes using quantitative-PCR. Also clinical verification for recurrence to distant organs was performed. Three gene signature were confirmed based on tumor's stage, grade, ER status, using conditional logistic regression. Based on this findings, the negative reported lymph nodes for metastasis, had micro metastasis in significant values. There was a significant difference between normal and cancer samples in 3 gene expression marker and also there was meaningful relationship between three gene expression with tumor's grade, stage according to progression of tumor. A novel gene expression signature predictive of micro metastatic patients was evaluated. In this assessment, relationship between this gene with tumor's features   that finding clear role for these genes with tumor's outcome, needs to be established.

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