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Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
Published on: December 9, 2016
Resistance to paclitaxel is associated with a variant of the gene BCL2 in multiple tumor types
Rotem Ben-Hamo1,2,3, Alona Zilberberg1, Helit Cohen1
11The Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, Ramat-Gan, 52900 Israel.
Abstract:
Paclitaxel, the most commonly used form of chemotherapy, is utilized in curative protocols in different types of cancer. The response to treatment differs among patients. Biological interpretation of a mechanism to explain this personalized response is still unavailable. Since paclitaxel is known to target BCL2 and TUBB1, we used pan-cancer genomic data from hundreds of patients to show that a single-nucleotide variant in the BCL2 sequence can predict a patient's response to paclitaxel. Here, we show a connection between this BCL2 genomic variant, its transcript structure, and protein abundance. We demonstrate these findings in silico, in vitro, in formalin-fixed paraffin-embedded (FFPE) tissue, and in patient lymphocytes. We show that tumors with the specific variant are more resistant to paclitaxel. We also show that tumor and normal cells with the variant express higher levels of BCL2 protein, a phenomenon that we validated in an independent cohort of patients. Our results indicate BCL2 sequence variations as determinants of chemotherapy resistance. The knowledge of individual BCL2 genomic sequences prior to the choice of chemotherapy may improve patient survival. The current work also demonstrates the benefit of community-wide, integrative omics data sources combined with in-lab experimentation and validation sets.
Insights
A specific BCL2 gene variant predicts patient response to paclitaxel chemotherapy. This genetic marker influences BCL2 protein levels, impacting chemotherapy resistance and potentially improving patient survival outcomes.
Area of Science:
- Genomics
- Cancer Biology
- Pharmacogenomics
Background:
- Paclitaxel is a widely used chemotherapy drug for various cancers.
- Individual patient responses to paclitaxel vary significantly.
- The underlying biological mechanisms for personalized response remain unclear.
Purpose of the Study:
- To identify genetic markers predicting paclitaxel response.
- To investigate the link between BCL2 gene variants, BCL2 protein levels, and paclitaxel efficacy.
- To explore the potential of BCL2 genotyping for personalized cancer treatment.
Main Methods:
- Analysis of pan-cancer genomic data from hundreds of patients.
- In silico, in vitro, and ex vivo validation using FFPE tissues and patient lymphocytes.
- Correlation of BCL2 single-nucleotide variants with BCL2 transcript structure and protein abundance.
Main Results:
- A specific BCL2 single-nucleotide variant was identified as a predictor of paclitaxel response.
- Tumors with this variant exhibited increased resistance to paclitaxel.
- Cells with the variant showed higher BCL2 protein expression, validated in an independent cohort.
Conclusions:
- BCL2 sequence variations are key determinants of chemotherapy resistance.
- Genotyping BCL2 may optimize chemotherapy selection and improve patient survival.
- Integrative omics data and experimental validation are crucial for understanding personalized medicine.
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