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Utility of molecular subtypes and genetic alterations for evaluating clinical outcomes in 1029 patients with endometrial cancer.
Asami, Yuka; Kobayashi Kato, Mayumi; Hiranuma, Kengo; Matsuda, Maiko; Shimada, Yoko; Ishikawa, Mitsuya; Koyama, Takafumi; Komatsu, Masaaki; Hamamoto, Ryuji; Nagashima, Minoru; Terao, Yasuhisa; Itakura, Atsuo; Kohno, Takashi; Sekizawa, Akihiko; Matsumoto, Koji; Kato, Tomoyasu; Shiraishi, Kouya; Yoshida, Hiroshi.
Afiliação
  • Asami Y; Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
  • Kobayashi Kato M; Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, 142-8555, Japan.
  • Hiranuma K; Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
  • Matsuda M; Department of Gynecology, National Cancer Center Hospital, Tokyo, 104-0045, Japan.
  • Shimada Y; Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
  • Ishikawa M; Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, 113-8421, Japan.
  • Koyama T; Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
  • Komatsu M; Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
  • Hamamoto R; Department of Gynecology, National Cancer Center Hospital, Tokyo, 104-0045, Japan.
  • Nagashima M; Department of Experimental Therapeutics, National Cancer Center Hospital, Tokyo, 104-0045, Japan.
  • Terao Y; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
  • Itakura A; Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, 103-0027, Japan.
  • Kohno T; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
  • Sekizawa A; Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, 103-0027, Japan.
  • Matsumoto K; Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, 142-8555, Japan.
  • Kato T; Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, 113-8421, Japan.
  • Shiraishi K; Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, 113-8421, Japan.
  • Yoshida H; Division of Genome Biology, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.
Br J Cancer ; 128(8): 1582-1591, 2023 04.
Article em En | MEDLINE | ID: mdl-36797358
ABSTRACT

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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Neoplasias do Endométrio Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Neoplasias do Endométrio Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article