Related Experiment Video
Updated: Jul 16, 2025
07:41
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
9.0K
Survivin expression as a prognostic marker for breast cancer
Patricia Quidute1, Ricardo Quidute1, Matheus Moreira Perez1
1Centro Universitário Faculdade de Medicina do ABC, Laboratório de Análises Clínicas - Santo André (SP), Brazil.
Revista Da Associacao Medica Brasileira (1992)
|September 20, 2023
Summary
Survivin gene expression is elevated in estrogen receptor-negative breast cancer patients. This finding suggests survivin may serve as a valuable prognostic biomarker for early breast cancer diagnosis and treatment strategies.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Breast cancer development is rapid, necessitating novel biomarkers for early detection.
- Survivin is crucial for tumor cell apoptosis evasion.
- Understanding survivin's role can improve diagnostic and prognostic capabilities.
Purpose of the Study:
- To investigate survivin gene expression in breast tumor samples.
- To correlate survivin expression with patient clinical characteristics.
- To evaluate survivin as a potential prognostic marker in breast cancer.
Main Methods:
- Cross-sectional study involving 100 paraffin-embedded breast tumor samples.
- Quantitative polymerase chain reaction (qPCR) used to assess survivin gene expression.
- Patient data included age, diagnosis, and receptor status.
Main Results:
- Survivin expression was significantly associated with the absence of estrogen and progesterone receptors (p=0.027 and p>0.0005, respectively).
- Higher survivin gene expression was observed in patients lacking estrogen and progesterone receptor expression.
Conclusions:
- Elevated survivin expression is linked to estrogen receptor-negative breast cancer.
- Survivin may function as an additional prognostic tool for breast cancer patients.
- Further research can explore survivin's utility in personalized breast cancer therapy.
More Related Videos
Related Concept Videos
01:21Cancer Survival Analysis
381
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
381
02:07Tumor Progression
6.4K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.4K
01:05Cancer-Critical Genes II: Tumor Suppressor Genes
7.5K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
7.5K
01:15Assumptions of Survival Analysis
153
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
153
03:03mTOR Signaling and Cancer Progression
3.8K
The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
The mTOR pathway or the...
The mTOR pathway or the...
3.8K
01:18Survival Curves
194
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
194