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E-Poster Display

850P - Genetic factors contributing to the success rate of patient-derived xenograft revealed by genomic characterization in epithelial ovarian cancer

Date

17 Sep 2020

Session

E-Poster Display

Topics

Tumour Site

Ovarian Cancer

Presenters

Ying Shan

Citation

Annals of Oncology (2020) 31 (suppl_4): S551-S589. 10.1016/annonc/annonc276

Authors

Y. Shan1, X. Peng2, S. Li1, L. Pan3, J. Ying1, C. Qiao4, S. Peng4, X. Guo2, H. Li2, W. Wang1, Y. Li1, Y. Gu3

Author affiliations

  • 1 Gynecologic Oncology, Peking Union Medical College Hospital, 100730 - Beijing/CN
  • 2 Bioinformatics Department, Precision Scientific (Beijing), Ltd., 100085 - Beijing/CN
  • 3 Ob/gyn, Peking Union Medical College Hospital, 100730 - Beijing/CN
  • 4 Beijing Idmo Co., Beijing IDMO Co., 100176 - Beijing/CN

Resources

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Abstract 850P

Background

Patient-derived xenograft (PDX) can overcome several key limitations from cancer cell line xenograft model. However, the success rate of generating a PDX is relatively low. It remains unknown about the genetic factors contributing to the success rate of PDX, especially in epithelial ovarian cancer.

Methods

We collected 38 primary tumor samples from high-grade serous ovarian cancer (HGSOC) patients and the PDX success rate was evaluated. The patients were classified into NCF (neoadjuvant chemotherapy-free, 21) and NC (neoadjuvant chemotherapy, 17) groups. All of the tumors, as well as corresponding blood samples, were subjected to whole exome sequencing (WES). Mutation calling was performed according to the criteria established by The Cancer Genome Atlas (TCGA). Significantly mutated genes (SMG), mutational signatures, tumor mutation burden (TMB), microsatellite instability (MSI), chromosome-wide loss of heterogeneity (LOH) were calculated.

Results

Significant difference of PDX success rate was noted between NCF (17 out of 21, 81%) and NC (8 out of 17, 47%) (p<0.02). Based on WES, we identify somatic driver candidates, including significantly mutated genes, TP53, RPTN and FRG1. However, there is no SMG gene enriched in NCF or NC, nor success or failed samples. We find mutations in MT-CO3 (cytochrome c oxidase III, 3 missense and 1 nonsense) significantly enriched in NC (p = 0.032). As for TMB/MSI, there is no significant difference between NCF and NC. Mutational signature analysis indicates that NCF has significantly lower Signature 26 (etiology: associated with defective DNA mismatch repair; p = 0.026), which is likely due to the chemotherapy exposure. Meanwhile, in NCF, the weight of Signature 3 (etiology: associated with failure of DNA double-strand break-repair by homologous recombination) is significantly lower in success than fail samples (p = 0.049). Compared with NC, NCF has significant higher genome-wide LOH (p = 0.014).

Conclusions

In this study, we provide evidence that HGSOC samples from patients receiving neoadjuvant chemotherapy is less likely to generate successful PDX models, which is mainly due to the defective DNA mismatch repair caused by chemotherapy drug exposure.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Chinese Academy of Medical Science.

Disclosure

All authors have declared no conflicts of interest.

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