TPX2 overexpression promotes sensitivity to dasatinib in breast cancer by activating YAP transcriptional signaling.
Carlos MarugánNatalia Sanz-GómezBeatriz OrtigosaAna Monfort-VengutCristina BertinettiAna TeijoMarta GonzálezAlicia Alonso de la VegaMaría José LallenaGema Moreno-BuenoGuillermo de CárcerPublished in: Molecular oncology (2024)
Chromosomal instability (CIN) is a hallmark of cancer aggressiveness, providing genetic plasticity and tumor heterogeneity that allows the tumor to evolve and adapt to stress conditions. CIN is considered a cancer therapeutic biomarker because healthy cells do not exhibit CIN. Despite recent efforts to identify therapeutic strategies related to CIN, the results obtained have been very limited. CIN is characterized by a genetic signature where a collection of genes, mostly mitotic regulators, are overexpressed in CIN-positive tumors, providing aggressiveness and poor prognosis. We attempted to identify new therapeutic strategies related to CIN genes by performing a drug screen, using cells that individually express CIN-associated genes in an inducible manner. We find that the overexpression of targeting protein for Xklp2 (TPX2) enhances sensitivity to the proto-oncogene c-Src (SRC) inhibitor dasatinib due to activation of the Yes-associated protein 1 (YAP) pathway. Furthermore, using breast cancer data from The Cancer Genome Atlas (TCGA) and a cohort of cancer-derived patient samples, we find that both TPX2 overexpression and YAP activation are present in a significant percentage of cancer tumor samples and are associated with poor prognosis; therefore, they are putative biomarkers for selection for dasatinib therapy.
Keyphrases
- poor prognosis
- papillary thyroid
- genome wide
- long non coding rna
- squamous cell
- transcription factor
- cell proliferation
- induced apoptosis
- gene expression
- childhood cancer
- emergency department
- lymph node metastasis
- dna methylation
- signaling pathway
- copy number
- drug delivery
- cell cycle arrest
- machine learning
- small molecule
- cell death
- big data
- young adults
- cell cycle
- bone marrow
- chronic myeloid leukemia
- high throughput
- case report
- bioinformatics analysis
- pi k akt
- drug induced