PIK3CA mutation and CNV status and post-chemoradiotherapy survival in patients with cervical cancer.


Journal

Gynecologic oncology
ISSN: 1095-6859
Titre abrégé: Gynecol Oncol
Pays: United States
ID NLM: 0365304

Informations de publication

Date de publication:
09 2020
Historique:
received: 30 04 2020
accepted: 25 06 2020
pubmed: 13 7 2020
medline: 16 4 2021
entrez: 13 7 2020
Statut: ppublish

Résumé

This study aimed to describe the prognostic value of PI3K/AKT pathway mutations in a large cohort of patients with cervical cancer. Patients with pre-treatment archival specimens, diagnosed with FIGO stages IB-IVA cervical cancer between 1998 and 2014 and treated with radical, curative intent chemoradiotherapy (CRT) at a single center were identified. Mutational status was determined by next generation sequencing and PIK3CA copy number (CNV) was assessed by digital PCR. 190 patients with available pre-treatment tumor specimens were identified. Median OS and PFS were 57.4 and 46.0 months, respectively. A total of 161 tumors were successfully sequenced; 60 (37.3%) had PI3K/AKT pathway mutations, with 50 (30.1%) having PIK3CA hotspot mutations. PIK3CA CNV gain was noted in 79 (59.2%) of the 154 successfully analyzed. On univariate analysis, PIK3CA mutation was associated with poor OS (HR 1.73; 95% CI: 1.03-2.92; p = .037) but not PFS (HR 1.38; 0.84-2.28; p = .204). Absence of any PI3K/AKT pathway mutation was associated with improved OS (HR 1.68; 1.01-2.81; p = .046) but not PFS (HR 1.50; 0.93-2.43; p = .202). Associations were not maintained when adjusting for clinical factors. On univariate analysis, PIK3CA mutation positive, CNV normal tumors were associated with poorer OS (HR 2.55; 1.18-5.50; p = .017) and trend to worse PFS (HR 1.87; 0.90-3.83; p = .094) when compared to those with CNV gain and wildtype PIK3CA. PI3K/AKT pathway mutations are common in cervical cancer. Consideration of PIK3CA mutational status with CNV status may be important in predicting outcome in cervical cancer patients.

Identifiants

pubmed: 32653099
pii: S0090-8258(20)32332-5
doi: 10.1016/j.ygyno.2020.06.506
pii:
doi:

Substances chimiques

Class I Phosphatidylinositol 3-Kinases EC 2.7.1.137
PIK3CA protein, human EC 2.7.1.137
Proto-Oncogene Proteins c-akt EC 2.7.11.1

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

776-784

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors have no conflicts of interest to declare.

Auteurs

Kevin Martell (K)

Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

John B McIntyre (JB)

Precision Oncology Hub, Tom Baker Cancer Centre, Department of Oncology, University of Calgary, Calgary, AB, Canada.

Elizabeth N Kornaga (EN)

Precision Oncology Hub, Tom Baker Cancer Centre, Department of Oncology, University of Calgary, Calgary, AB, Canada.

Angela M Y Chan (AMY)

Precision Oncology Hub, Tom Baker Cancer Centre, Department of Oncology, University of Calgary, Calgary, AB, Canada.

Tien Phan (T)

Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

Martin Köbel (M)

Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada.

Emeka K Enwere (EK)

Precision Oncology Hub, Tom Baker Cancer Centre, Department of Oncology, University of Calgary, Calgary, AB, Canada.

Michelle L Dean (ML)

Precision Oncology Hub, Tom Baker Cancer Centre, Department of Oncology, University of Calgary, Calgary, AB, Canada.

Prafull Ghatage (P)

Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

Susan P Lees-Miller (SP)

Department of Biochemistry and Molecular Biology, Oncology and Biological Sciences, University of Calgary, Calgary, AB, Canada.

Corinne M Doll (CM)

Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. Electronic address: corinne.doll@ahs.ca.

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Classifications MeSH