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Background: In 2018, the International Federation of Gynecology and Obstetrics (FIGO) revised its cervical cancer staging system to enhance clinical relevance, notably by categorizing lymph node metastases (LNM) as an independent stage IIIC. This multicenter study evaluates the prognostic implications of the FIGO 2018 classification within a Japanese cohort.

Methods: This study included 1468 patients with cervical cancer.

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Anticancer effect of the antirheumatic drug leflunomide on oral squamous cell carcinoma by the inhibition of tumor angiogenesis.

Discov Oncol

January 2025

Department of Oral and Maxillofacial Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima, 734-8553, Japan.

Objectives: Leflunomide (LEF) is a conventional synthetic disease-modifying antirheumatic drug and suppresses T-cell proliferation and activity by inhibiting pyrimidine synthesis using dihydroorotase dehydrogenase (DHODH); however, several studies have demonstrated that LEF possesses anticancer and antiangiogenic effects in some malignant tumors. Therefore, we investigated the anticancer and antiangiogenic effects of LEF on oral squamous cell carcinoma (OSCC).

Methods: To evaluate the inhibitory effect of LEF on OSCC, cell proliferation and wound-healing assays using human OSCC cell lines were performed.

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Objectives: The present systematic review aimed to evaluate if cortical bone perforation is effective in enhancing periodontal surgery and guided bone regeneration (GBR) in humans.

Materials And Methods: Electronic search was performed in PubMed, Scopus and Cochrane CENTRAL up to October 31st, 2023. Grey literature was also searched.

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Rationale And Objectives: This study aimed to develop a predictive model for peritoneal metastasis (PM) in ovarian cancer using a combination radiomics and clinical biomarkers to improve diagnostic accuracy.

Patients And Methods: This retrospective cohort study of 619 ovarian cancer patients involved demographic data, radiomics, O-RADS standardized description, clinical biomarkers, and histological findings. Radiomics features were extracted using 3D Slicer and Pyradiomics, with selective feature extraction using Least Absolute Shrinkage and Selection Operator regression.

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Background: In uncertain cases of coeliac disease (CD), gluten challenge (GC) may be necessary to confirm or exclude the diagnosis. However, data on diagnostic outcomes after GC are limited.

Aims: We aimed to evaluate outcomes after GC in patients with unconfirmed CD who had already started a gluten-free diet (GFD), and identify predictors of a confirmed diagnosis.

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