The Clinical Features of Recurrent Endometrial Cancer in Japan: Chemotherapy Instead of Radiotherapy as Postoperative Adjuvant Treatment

Iwase, Haruko; Furukawa, S; Hirasawa, Takeshi; Asai, Satoshi; Ohara, Tatsuru; Hosonuma, Shinji; Endo, Shuichi; Tazo, Yuki; Sato, Hidetaka; Takada, Toshio; Arai, Masahide; Ikeda, Masae; Shida, Masako; Yoshioka, Nozomu; Tozawa-Ono, Akiko; Suzuki, Nao; Mikami, Mikio; Onda, Takashi

doi:10.1097/igc.0000000000001346

Cited by 10 publications

(7 citation statements)

References 25 publications

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“…Currently, the conventional treatment of EC is mainly surgery, radiotherapy, and chemotherapy. 7 Unfortunately, the 5-year overall survival rate of EC with advanced stage is only 15% to 17%. 8 Therefore, it is urgently necessary to seek out reliable diagnostic and prognostic biomarkers and novel treatment strategies for EC.…”

Section: Introductionmentioning

confidence: 99%

“…Obesity, age, and late menopause have been proposed as several risk factors for EC, 5,6 but the specific mechanism that causes the disease is still not clear. Currently, the conventional treatment of EC is mainly surgery, radiotherapy, and chemotherapy 7 . Unfortunately, the 5‐year overall survival rate of EC with advanced stage is only 15% to 17% 8 .…”

Section: Introductionmentioning

confidence: 99%

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Identification of biomarkers correlated with diagnosis and prognosis of endometrial cancer using bioinformatics analysis

Zhao

Jiang

et al. 2020

J of Cellular Biochemistry

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Endometrial cancer (EC) is one of the most common malignancies in the female genital system, characterized by high mortality and recurrence rates. This study attempted to screen key genes and potential prognostic biomarkers for EC using bioinformatics analysis. Twenty-seven normal endometrial tissues and 135 EC samples were collected from four Gene Expression Omnibus (GEO) databases, then we identified the differentially expressed genes (DEGs) and conducted downstream analyses. Moreover, we screened hub genes by constructing a protein-protein interaction (PPI) network. Finally, we assessed the prognostic values and molecular mechanism of the potential prognostic genes using the Kaplan-Meier curve and Gene Set Enrichment Analysis (GSEA). As a result, 28 upregulated and 94 downregulated genes were determined after gene integration of these four GEO data sets. Gene Ontology analysis indicated that DEGs were mainly involved in transcriptional regulation and cell proliferation. The Kyoto Encyclopedia of Gene and Genome pathway analysis primarily related to transcriptional misregulation and apoptosis. Moreover, the PPI analysis revealed 10 hub genes (JUN, UBE2I, GATA2, WT1, PIAS1, FOXL2, RUNXI, EZR, TCF4, and NR2F2) with a high degree of connectivity, among them, the expression tendency of nine genes except UBE2I were consistent with messenger RNA level from The Cancer Genome Atlas data. Furthermore, only FOXL2, TCF4, and NR2F2 were significantly correlated with prognosis of EC patients, and their low expression associated biological pathways were enriched in the cell cycle and fatty acid metabolism. In conclusion, this study identified three key genes as biomarkers and potential therapeutic targets of EC on the basis of integrated bioinformatics analysis. The findings will improve our comprehension of the molecular mechanisms underlying the pathogenesis and prognosis of EC.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identification of biomarkers correlated with diagnosis and prognosis of endometrial cancer using bioinformatics analysis

Zhao

Jiang

et al. 2020

J of Cellular Biochemistry

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“…Its morbidity and mortality have presented an ascending trend in the last few years, and it is reported that it occurs over a wide range of age groups from young individuals to elderly women 1,2. Surgery, chemotherapy, and radiotherapy have been considered as effective treatments for EC 3,4. Alternatively, an increasing number of investigators have focused more attention on exploring and elaborating the pathogenic mechanisms of development and progression of EC 5.…”

Section: Introductionmentioning

confidence: 99%

<p>TRIB3 suppresses proliferation and invasion and promotes apoptosis of endometrial cancer cells by regulating the AKT signaling pathway</p>

Liu

et al. 2019

OTT

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Objective The aim of this study was to examine the effect of TRIB3 on proliferation, apoptosis, and migration of endometrial cancer (EC) cells and explore the relationship between TRIB3 and AKT signaling pathway in EC progression. Methods Immunohistochemical analysis was performed to measure the expression level of TRIB3 in normal endometrium tissues and EC tissues. Overexpression and shRNA knockdown techniques were applied by transfecting EC cells (ISK and AN3CA), and the effect of TRIB3 on EC cell biological behaviors was evaluated. Cell Counting Kit-8 and colony formation assays were utilized to investigate EC cell proliferation ability, and flow cytometry was performed to assess the apoptosis of EC cells. Moreover, the migration and invasion of EC cells were detected by transwell assay, and the levels of MMP-2 and MMP-9 were measured by ELISA. Additionally, Western blot analysis was carried out to determine the levels of AKT and p-AKT. Results The expression level of TRIB3 was higher in EC than normal endometrium tissues, and its overexpression promoted apoptosis and suppressed proliferation of EC cells. Furthermore, TRIB3 retarded the migration and invasion of EC cells and decreased the levels of MMP-2 and MMP-9. Conversely, TRIB3 inhibition enhanced the expression levels of MMP-2 and MMP-9, and proliferation and migration of EC cells but suppressed their apoptosis. Similarly, TRIB3 overexpression reduced while its knockdown increased the level of p-AKT. Conclusion TRIB3 inhibited proliferation and migration and promoted apoptosis of EC cells probably through regulating AKT signaling pathway.

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“…Moreover, Erkilinç et al, (2018) reported that the presence of adenomyosis was associated with higher overall survival (HR = 0.20; 95% CI, 0.03-0.68). A possible explanation for these results is that most participants in our study received adjuvant treatment, which can reduce tumor recurrence (Eggink et al, 2017;Iwase et al, 2018;Qu et al, 2018). In this study, patients received adjuvant treatment about 66% of all patients.…”

Section: Discussionmentioning

confidence: 83%

Impact of Coexisting Uterine Adenomyosis on the Survival Outcome of Patients with Endometrial Cancer: A Retrospective Cohort Study

Boonlak

Aue-aungkul

Kietpeerakool

et al. 2019

Asian Pac J Cancer Prev

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Objective:To determine the effects of uterine adenomyosis on endometrial cancerrecurrence rates. Methods: This retrospective cohort study reviewed all consecutive patients diagnosed with endometrial cancerwho underwent total hysterectomy-based surgical staging at Srinagarind Hospital between January, 2010 and January, 2016. The patientswere divided into two groups:a uterine adenomyosisgroup and a non-adenomyosis group. Patient demographics, type of surgery, histopathology, stage of endometrial cancer, adjuvant treatment, and survival outcomes were compared. Results: A total 350 patients were enrolled, with 132 (37.71%) in the adenomyosis group and 218 (62.29%) in the nonadenomyosis group. Deep myometrial invasion and lymphovascular space invasion (LVSI) were more commonly found among patients who had no adenomyosis compared to those with adenomyosis(52.8% vs 39.4%, P=0.02 and 53.2% vs. 38.6%, P=0.01). There were no significant differences in terms of five-year recurrence-free survival (HR=1.47; 95%CI 0.88-2.44) and five-year overall survival (HR=0.81; 95%CI 0.43-1.53) between the two comparison groups. Conclusion: Coexisting uterine adenomyosis in endometrial cancer wasassociated withdeep myometrial invasion and LVSI but did not have significant impact on survival.

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The Clinical Features of Recurrent Endometrial Cancer in Japan: Chemotherapy Instead of Radiotherapy as Postoperative Adjuvant Treatment

Cited by 10 publications

References 25 publications

Identification of biomarkers correlated with diagnosis and prognosis of endometrial cancer using bioinformatics analysis

Identification of biomarkers correlated with diagnosis and prognosis of endometrial cancer using bioinformatics analysis

<p>TRIB3 suppresses proliferation and invasion and promotes apoptosis of endometrial cancer cells by regulating the AKT signaling pathway</p>

Impact of Coexisting Uterine Adenomyosis on the Survival Outcome of Patients with Endometrial Cancer: A Retrospective Cohort Study

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