Utility of molecular subtypes and genetic alterations for evaluating clinical outcomes in 1029 patients with endometrial cancer.


Journal

British journal of cancer
ISSN: 1532-1827
Titre abrégé: Br J Cancer
Pays: England
ID NLM: 0370635

Informations de publication

Date de publication:
04 2023
Historique:
received: 06 08 2022
accepted: 06 02 2023
revised: 03 02 2023
medline: 5 4 2023
pubmed: 17 2 2023
entrez: 16 2 2023
Statut: ppublish

Résumé

We investigated the utility of a molecular classifier tool and genetic alterations for predicting prognosis in Japanese patients with endometrial cancer. A total of 1029 patients with endometrial cancer from two independent cohorts were classified into four molecular subtype groups. The primary and secondary endpoints were relapse-free survival (RFS) and overall survival (OS), respectively. Among the 265 patients who underwent initial surgery, classified according to immunohistochemistry, patients with DNA polymerase epsilon exonuclease domain mutation had an excellent prognosis (RFS and OS), patients with no specific molecular profile (NSMP) and mismatch repair protein deficiency had an intermediate prognosis, and those with protein 53 abnormal expression (p53abn) had the worst prognosis (P < 0.001). In the NSMP group, mutant KRAS and wild-type ARID1A were associated with significantly poorer 5-year RFS (41.2%) than other genomic characteristics (P < 0.001). The distribution of the subtypes differed significantly between patients with recurrence/progression and classified by sequencing (n = 764) and patients who underwent initial surgery (P < 0.001). Among patients with recurrence/progression, 51.4% had the opportunity to receive molecular targeted therapy. A molecular classifier is a useful tool for determining prognosis and eligibility for molecularly targeted therapy in patients with endometrial cancer.

Sections du résumé

BACKGROUND
We investigated the utility of a molecular classifier tool and genetic alterations for predicting prognosis in Japanese patients with endometrial cancer.
METHODS
A total of 1029 patients with endometrial cancer from two independent cohorts were classified into four molecular subtype groups. The primary and secondary endpoints were relapse-free survival (RFS) and overall survival (OS), respectively.
RESULTS
Among the 265 patients who underwent initial surgery, classified according to immunohistochemistry, patients with DNA polymerase epsilon exonuclease domain mutation had an excellent prognosis (RFS and OS), patients with no specific molecular profile (NSMP) and mismatch repair protein deficiency had an intermediate prognosis, and those with protein 53 abnormal expression (p53abn) had the worst prognosis (P < 0.001). In the NSMP group, mutant KRAS and wild-type ARID1A were associated with significantly poorer 5-year RFS (41.2%) than other genomic characteristics (P < 0.001). The distribution of the subtypes differed significantly between patients with recurrence/progression and classified by sequencing (n = 764) and patients who underwent initial surgery (P < 0.001). Among patients with recurrence/progression, 51.4% had the opportunity to receive molecular targeted therapy.
CONCLUSIONS
A molecular classifier is a useful tool for determining prognosis and eligibility for molecularly targeted therapy in patients with endometrial cancer.

Identifiants

pubmed: 36797358
doi: 10.1038/s41416-023-02203-3
pii: 10.1038/s41416-023-02203-3
pmc: PMC10070437
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1582-1591

Informations de copyright

© 2023. The Author(s).

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Auteurs

Yuka Asami (Y)

Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, 142-8555, Japan.

Mayumi Kobayashi Kato (M)

Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
Department of Gynecology, National Cancer Center Hospital, Tokyo, 104-0045, Japan.

Kengo Hiranuma (K)

Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, 113-8421, Japan.

Maiko Matsuda (M)

Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.

Yoko Shimada (Y)

Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.

Mitsuya Ishikawa (M)

Department of Gynecology, National Cancer Center Hospital, Tokyo, 104-0045, Japan.

Takafumi Koyama (T)

Department of Experimental Therapeutics, National Cancer Center Hospital, Tokyo, 104-0045, Japan.

Masaaki Komatsu (M)

Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, 103-0027, Japan.

Ryuji Hamamoto (R)

Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, 103-0027, Japan.

Minoru Nagashima (M)

Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, 142-8555, Japan.

Yasuhisa Terao (Y)

Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, 113-8421, Japan.

Atsuo Itakura (A)

Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, 113-8421, Japan.

Takashi Kohno (T)

Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.

Akihiko Sekizawa (A)

Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, 142-8555, Japan.

Koji Matsumoto (K)

Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, 142-8555, Japan.

Tomoyasu Kato (T)

Department of Gynecology, National Cancer Center Hospital, Tokyo, 104-0045, Japan.

Kouya Shiraishi (K)

Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan. kshirais@ncc.go.jp.

Hiroshi Yoshida (H)

Department of Diagnostic Pathology, National Cancer Center Hospital, 104-0045, Tokyo, Japan. hiroyosh@ncc.go.jp.

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