Related Experiment Video
Updated: Sep 5, 2025
miRNA Expression Analyses in Prostate Cancer Clinical Tissues
Published on: September 8, 2015
Can we use Ki67 expression to predict prostate cancer aggressiveness?
Ronaldo Maia1, Gabriel Arantes Dos Santos2,3, Sabrina Reis2,4,5
1- Hospital Alemão Oswaldo Cruz, Center for Robotic Surgery - São Paulo - SP - Brasil.
Ki67 protein and mRNA levels indicate prostate cancer aggressiveness. High Ki67 expression correlates with higher ISUP scores, advanced stage, recurrence, and metastasis, highlighting its role as a predictive biomarker.
Area of Science:
- Oncology
- Molecular Pathology
Background:
- There is a need for biomarkers to differentiate indolent from aggressive prostate cancer.
- Ki67 is a known proliferation marker implicated in various cancer aggressiveness.
Purpose of the Study:
- To investigate the correlation between Ki67 expression and prostate cancer aggressiveness.
- To analyze Ki67 mRNA and protein levels in relation to clinical outcomes.
Main Methods:
- Ki67 mRNA levels were quantified using TCGA data (492 tumor, 52 control samples).
- Ki67 protein expression was assessed via immunohistochemistry on 94 prostate cancer biopsies.
Main Results:
- Ki67 mRNA upregulation correlated with cancer tissue and poorer disease-free survival.
- Protein upregulation was linked to increased ISUP score, cancer stage, biochemical recurrence, and metastasis.
- Ki67 expression independently predicted biochemical recurrence and metastasis, with high expression increasing recurrence likelihood.
Conclusions:
- Ki67 upregulation is significantly associated with prostate cancer aggressiveness.
- Ki67 serves as a valuable biomarker for predicting disease progression and recurrence in prostate cancer.
More Related Videos
08:05Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
Published on: June 10, 2025
07:41Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019