Special Issue Title:

Gynecological Oncology Treatment: Recent Progress in Clinical Modalities

Deadline for manuscript submissions: 28 February 2022

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Special Issue Editor

  • Guest Editor

    Osamu Hiraike, MD, PhDE-MailWebsite

    Department of Obstetrics and Gynecology, The University of Tokyo, Tokyo, Japan

    Interests: Pathophysiology of the Human Reproduction and Ovary; Reproductive Endocrinology; Benign Gynecological Tumors; Minimally Invasive Gynecological Surgery and Endoscopy; Repair of Pelvic Floor; Breast Cancer; Endometrial Cancer

  • Guest Editor

    Kenbun Sone, PhDE-MailWebsite

    Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan

    Interests: Epigenetic Mechanism in gynecologic oncology

Special Issue Information

Dear Colleagues,


Gynecological cancer including uterine cervical cancer, endometrial cancer and ovarian cancer constitutes unique disease properties. Representative recent topics of uterine cervical cancer are real world evidence of human papilloma virus vaccine and application of minimally invasive surgery (MIS). Treatment for early-stage endometrial cancer is almost established using MIS, and laparoscopic surgery and robotic surgery exhibit pronounced development and establishment of safety of these surgeries are crucial for patients. Another focus on epidemiology of endometrial cancer is the presence of familial trait that include Lynch syndrome. Recent molecular and genetic analysis of ovarian cancer is remarkable, and adjuvant chemotherapy for ovarian cancer became completely different from those of ten years ago. Artificial intelligence (AI) modalities might extend and expand human intelligence, and diagnostic significance of AI technology is steady progressing. Another remarkable issue related to gynecological cancer is the finding of gene fusions that are thought to be driver mutations. Oncology panel is developed and is supposed to be promising candidate modality to find the suitable drugs for unusual gynecologic tumors.

In this special issue, the authors will present novel and the most recent studies with regard to the development of gynecological cancers. These include the molecular characterization of gynecological cancers, treatment strategies of various gynecological cancers, application, ingenuity and limitation of MIS, and advances of diagnostic modalities (AI and oncology panel). 

Dr. Osamu Hiraike and Dr. Kenbun Sone

Guest Editors

Keywords

Cervical Cancer;Endometrial Cancer;Ovarian Cancer;Oncology Panel;Molecular Classification;Hereditary Gynecological Cancer;Minimally Invasive Therapy;Robotic Surgery;Hysteroscopy;Artificial Intelligence Technology

Manuscript Submission Information

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Published Papers (3 papers)

Open Access Special Issue

Germline multigene panel testing in gynecological cancer

Sayaka Ueno,Akira Hirasawa

DOI: 10.22514/ejgo.2022.008

(This article belongs to the Special Issue Gynecological Oncology Treatment: Recent Progress in Clinical Modalities)

Abstract ( 3258 ) PDF (348.74 kB) ( 184 ) Full Text

Open Access Special Issue

Clinical and pathological examination of 11 cases of ovarian seromucinous tumor at our institute

Takao Yamamoto,Kenbun Sone,Ayumi Taguchi,Masako Ikemura,Harunori Honjoh,Akira Nishijima,Satoko Eguchi,Yuichiro Miyamoto,Michihiro Tanikawa,Mayuyo Uchino-Mori,Takayuki Iriyama,Tetsushi Tsuruga,Osamu Wada-Hiraike,Yutaka Osuga

DOI: 10.22514/ejgo.2022.017

(This article belongs to the Special Issue Gynecological Oncology Treatment: Recent Progress in Clinical Modalities)

Abstract ( 3252 ) PDF (3.69 MB) ( 259 ) Full Text

Open Access Special Issue

Recurrence of low-grade serous ovarian cancer successfully treated with Gemcitabine and Bevacizumab: a case report and literature review

Hanako Sato,Yasushi Kotani,Chiho Miyagawa,Tamaki Yahata,Kosuke Murakami,Hidekatsu Nakai,Tomoyuki Otani,Noriomi Matsumura

DOI: 10.22514/ejgo.2022.049

(This article belongs to the Special Issue Gynecological Oncology Treatment: Recent Progress in Clinical Modalities)

Abstract ( 4097 ) PDF (1.44 MB) ( 250 ) Full Text

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