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Poster Display session

382P - Landscape of genomic alterations in chemoradiation resistant cervical cancer patients using whole-genome sequencing

Date

07 Dec 2024

Session

Poster Display session

Presenters

Prashant Kumar

Citation

Annals of Oncology (2024) 35 (suppl_4): S1544-S1553. 10.1016/annonc/annonc1691

Authors

P. Kumar1, R. Chauhan2, V. Trivedi3, E. Dhawale4, J. Sambath5, I. A George6, S.S. Manda7, R.S. Kommu8, M. Singh2, R. Venkataramanan9

Author affiliations

  • 1 Chief Scientific Officer, Karkinos Healthcare Pvt. Ltd., 400705 - Navi Mumbai/IN
  • 2 Oncology, MCSRC - Mahavir Cancer Sansthan and Research Centre, 801505 - Patna/IN
  • 3 Radiation Oncology, MCSRC - Mahavir Cancer Sansthan and Research Centre, 801505 - Patna/IN
  • 4 Gynaecology, VedantaaHospital & Research Centre, 401606 - Mumbai/IN
  • 5 Research, IOB - Institute of Bioinformatics, 560066 - Bangalore/IN
  • 6 Proteomics, Institute of Bioinformatics, 560066 - Bangalore/IN
  • 7 Research, Karkinos Healthcare Pvt. Ltd., 400705 - Mumbai/IN
  • 8 Chief Technology Officer, Karkinos Healthcare Pvt. Ltd., 400705 - Mumbai/IN
  • 9 Ceo, Karkinos Healthcare Pvt. Ltd., 400705 - Navi Mumbai/IN

Resources

This content is available to ESMO members and event participants.

Abstract 382P

Background

Cervical cancer is the second most common cancer among women in India, with 80% of cases diagnosed at advanced stages. Despite the standard treatment of concurrent pelvic radiotherapy and chemotherapy (CCRT), 30%-40% of patients experience treatment failure. The genomic factors contributing to CCRT resistance are not well understood. This study aims to uncover genomic alterations associated to CCRT responses in cervical cancer.

Methods

We collected 36 fresh tissue biopsies and 5 ml of blood from stage IIIB cervical cancer patients (19 responders and 17 non-responders). Genomic DNA was extracted and sequenced using the Novaseq 6000 platform, achieving 30x-50x coverage. The data was analyzed for single nucleotide variants, copy number alterations, and mutational signatures.

Results

Our study identified several highly mutated genes in cervical cancer, including EPPK1 (27%), MACF1 (27%), and KMT2D (27%), along with known significant genes like PIK3CA, FBXW7, KMT2C, ARID1A, and STK11. Mutation spectrum analysis showed a high C>T transition and C>G transversion rate, aligning with previous studies and a prevalent APOBEC mutagenesis pattern. Copy number alterations revealed amplifications in 7p, 9p, 11q, and 19p region, which include genes like EGFR, CD274, BRCA, and AKT2. Comparative analysis of genomic alterations between chemoradiation-resistant and sensitive patients revealed mutations in genes associated with DNA repair, and Wnt-beta catenin signaling pathways, exclusively in the non-responder group. Notably, complex genomic rearrangements were identified in 25% of non-responders, indicating a significant genomic instability in this group.

Conclusions

This study is an initial effort to map the genomic landscape of cervical cancer in India, revealing genetic factors linked to CCRT response, which may guide personalized and targeted therapies.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

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