Cancers (Jun 2021)

Dissection of <i>PIK3CA</i> Aberration for Cervical Adenocarcinoma Outcomes

  • Tony K. H. Chung,
  • Graeme Doran,
  • Tak-Hong Cheung,
  • So-Fan Yim,
  • Mei-Yung Yu,
  • Michael J. Worley,
  • Kevin M. Elias,
  • Aaron R. Thorner,
  • Chandra Sekhar Pedamallu,
  • Akinyemi I. Ojesina,
  • Kei-Man Lau,
  • Matthew D. Ducar,
  • Raymond R. Y. Wong,
  • Vivian W. Wang,
  • Anwesha Nag,
  • Bruce M. Wollison,
  • Audrey Dalgarno,
  • Jacqueline H. S. Lee,
  • Suet-Ying Yeung,
  • Lo Wong,
  • Neil S. Horowitz,
  • Michelle R. Davis,
  • Shuk-On A. Leung,
  • Yi Mu,
  • Samuel C. Mok,
  • Paul K. S. Chan,
  • Michael S. Lawrence,
  • Christopher P. Crum,
  • Rossa W. K. Chiu,
  • Ross S. Berkowitz,
  • Yick-Fu Wong

DOI
https://doi.org/10.3390/cancers13133218
Journal volume & issue
Vol. 13, no. 13
p. 3218

Abstract

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Personalized treatment of genetically stratified subgroups has the potential to improve outcomes in many malignant tumors. This study distills clinically meaningful prognostic/predictive genomic marker for cervical adenocarcinoma using signature genomic aberrations and single-point nonsynonymous mutation-specific droplet digital PCR (ddPCR). Mutations in PIK3CA E542K, E545K, or H1047R were detected in 41.7% of tumors. PIK3CA mutation detected in the patient’s circulating DNA collected before treatment or during follow-up was significantly associated with decreased progression-free survival or overall survival. PIK3CA mutation in the circulating DNA during follow-up after treatment predicted recurrence with 100% sensitivity and 64.29% specificity. It is the first indication of the predictive power of PIK3CA mutations in cervical adenocarcinoma. The work contributes to the development of liquid biopsies for follow up surveillance and a possibility of tailoring management of this particular women’s cancer.

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