In:
Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 41, No. 16_suppl ( 2023-06-01), p. e17505-e17505
Kurzfassung:
e17505 Background: Cisplatin based concurrent chemoradiation therapy (CCRT) has been recognized as the standard treatment for locally advanced cervical cancer. Although patients treated with CCRT have better chances of survival and prognosis, over 30–40% of patients do not achieve a complete response and may develop locoregional recurrence. Hence predictive biomarkers-based treatment selection of right cohort could be a strong approach for personalized treatment. Therapy resistance occur due to multifactorial events and targeting key molecules involved in treatment resistance could combat treatment resistance. Herein, we profiled both the global proteomic and phosphoproteomic landscape of the concurrent chemotherapy resistant cervical cancer to identify potential predictive biomarkers as well as therapeutic targets. Methods: We employed mass spectrometry based global proteomic and phosphoproteomic strategies to identify proteomic signature and dysregulated kinase involved in CCRT resistance. The biopsy tissue samples were collected before the start of the therapy and the protein was extracted, digested from each sample and labelled with 10 plex TMT (Tandem Mass Tags). The pooled peptides were fractionated by basic pH liquid chromatography analyzed on Orbitrap-Fusion-Tribrid mass spectrometer (ThermoFisher Scientific). For the phosphoproteomic experiment, the peptides were enriched using IMAC based phosphopeptide enrichment method. Liquid chromatography-mass spectrometry/ experiments together with thorough bioinformatics analysis were carried out to characterize the global proteome and phosphoproteome. Results: Analysis of protein expression and phosphorylation led to the identification of dysregulated protein expression and phosphorylation between treatment sensitive and resistant patient cohorts. Further analysis and validation experiment revealed the potential of differentially expressed protein syntaxin 3 (STX3) as a predictive biomarker for treatment resistance. Phosphoproteomic analysis revealed the enrichment of DNA repair pathway in treatment-resistant cohort and the phosphorylation of the proteins involved in DNA repair such as SMC1A, HMGN1, MGMT, DDB2, MSH6 are dysregulated between the cohort suggesting role of DNA repair pathway in the treatment resistance. Kinase-substrate enrichment analysis revealed the activation of kinases such as CSNK2A1, PRKDC, PLK1, NEK2 and ATM in non-responders. Conclusions: We have identified an accurate and reliable biomarker STX3 to predict CCRT resistance in cervical cancer. Further, the phosphoproteomic profiling revealed dysregulation of DNA repair pathways which may be involved in treatment resistance. Targeting the activated kinases such as CSNK2A1, PRKDC, PLK1, NEK2 and ATM could combat treatment resistance in cervical cancer patients.
Materialart:
Online-Ressource
ISSN:
0732-183X
,
1527-7755
DOI:
10.1200/JCO.2023.41.16_suppl.e17505
Sprache:
Englisch
Verlag:
American Society of Clinical Oncology (ASCO)
Publikationsdatum:
2023
ZDB Id:
2005181-5
