Publications by authors named "Noriomi Matsumura"
Aim: Pregnant women are at increased risk for severe illness associated with coronavirus disease 2019 (COVID-19) compared to nonpregnant women. The aim of this multicenter prospective study was to assess the current COVID-19 vaccination status of pregnant women in the southern Osaka district and to compare their antibody titers with those of nonpregnant women.
Methods: Serum antibody titers of anti-NCP antibodies (antibodies against the SARS-CoV-2 nucleocapsid) and anti-RBD antibodies (the receptor binding domain of the S1 subunit of the spike protein) were evaluated in 753 pregnant women at 34-35 weeks of gestation from October 2021 to March 2022.
Article Synopsis
- A study at Kindai University Hospital evaluated the usefulness of autologous blood donation for patients with placental malposition over ten years, focusing on its effectiveness in avoiding allogeneic blood transfusions.
- Of the 52 patients reviewed, only 9.6% successfully avoided using donated blood from another person, while complications occurred in 15% of donations, although no lasting effects were noted.
- A systematic review found no scientific evidence supporting the benefit of autologous blood transfusion for this condition, leading to the conclusion that such donations offer minimal advantage.
Article Synopsis
- The study aimed to assess the effectiveness and safety of robot-assisted radical hysterectomy (RARH) in treating cervical cancer, comparing it to traditional surgical methods.
- A total of 100 patients underwent RARH, achieving a high success rate with minimal blood loss and low recurrence rates after 2 years.
- Results showed strong oncological outcomes, with RARH yielding excellent recurrence-free survival (RFS) and overall survival (OS) rates, suggesting its viability as a surgical option for cervical cancer.
Article Synopsis
- There is a significant challenge in diagnosing ovarian high-grade endometrioid carcinoma (HGEC) and high-grade serous carcinoma (HGSC) due to their similar histopathological features, leading to variability among observers.
- A study analyzed a variety of ovarian cancer samples using advanced sequencing and clustering techniques, identifying four distinct tumor groups with different characteristics and survival outcomes.
- The findings suggest that a specific subset of tumors, termed "HGEC-type," shows favorable prognosis and endometrial differentiation, which may often be misclassified as HGSCs, indicating a need for improved diagnostic strategies.
Article Synopsis
- This study developed an AI-based algorithm to classify four subtypes of high-grade serous carcinoma (HGSC) with better accuracy than human assessors, using deep learning techniques on images from cancer datasets.
- The algorithm achieved high mean accuracies of 0.933, 0.910, and 0.862 across three different cohorts (TCGA, JGOG3022A1, and Kindai/Kyoto), demonstrating its reliability in subtype classification.
- An analysis of survival rates indicated that the mesenchymal transition (MT) group had a worse prognosis compared to non-MT, confirming the importance of AI in predicting clinical outcomes alongside traditional factors like stage and age.
Article Synopsis
- Ovarian clear cell carcinoma (OCCC) arises from benign endometriotic cysts and is characterized by poor treatment outcomes, particularly in advanced stages due to resistance to standard therapies and oxidative stress.
- This study found that OCCC cells are resistant to ferroptosis (a type of cell death linked to iron and oxidative stress) even though they experience oxidative stress, indicating a unique survival mechanism.
- The research suggests that activating the YAP1 protein, which is regulated by ZDHHC7, may enhance ferroptosis in OCCC cells, highlighting a potential new approach for treating this aggressive cancer.
Aim: Quality of care is important to reduce disease progression, and improve both survival and quality of life. The Japan Society of Gynecologic Oncology has published treatment guidelines to promote standardized high-quality care for ovarian cancer in Japan. We developed quality indicators based on the guideline recommendations and used them on large datasets of health service use to examine the quality of ovarian cancer care.
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- * The study created two convolutional neural network models to effectively detect and assess the location and density of TILs, revealing that higher intraepithelial TIL densities correlate with better patient survival outcomes.
- * Patients were grouped into three immunophenotypes based on TIL density, with the "immune-desert" group showing the poorest prognosis, highlighting the potential for using TIL assessments in personalized ovarian cancer treatments.
Background: In Japan, comprehensive cancer statistics data have been collected through national cancer registries, but these data are rarely summarized and reported in research articles.
Methods: Here, we compiled the national registry data on malignant tumors originating from gynecologic organs (ovary, corpus uteri, cervix uteri) in Japan.
Results: The number of new patients in 2019 was 13,380, 17,880, and 10,879, respectively, and the number of deaths in 2021 was 5081, 2741, and 2894, respectively.
Article Synopsis
- Large cancer cell line databases are important for drug discovery, but the link between homologous recombination deficiency (HRD) and drug sensitivity is uncertain.
- This study analyzed molecular profiles and drug response data, finding no positive correlation between BRCA1/2 mutations, HRD scores, and sensitivity to platinum drugs or PARP inhibitors; instead, higher HRD scores indicated resistance.
- The results, consistent across various cancer cell types, suggest that existing cell line data may not accurately represent how HRD impacts drug response in actual clinical tumors, pointing out the need to be cautious when using these models in research.
Introduction: Maintenance therapy with bevacizumab and the poly (ADP-ribose) polymerase (PARP) inhibitors olaparib and niraparib after first-line treatment of advanced ovarian cancer has been approved. However, it is not clear which one should be used for which patients.
Areas Covered: This paper presents a detailed analysis of data from phase 3 trials in ovarian cancer evaluating bevacizumab (ICON7, GOG-0218), olaparib (SOLO1, PAOLA-1), and niraparib (PRIMA, PRIME).
Drug-induced interstitial lung disease (DIILD) is one of the most common and important adverse drug reactions. Still, the details of the clinical presentation of DIILD caused by poly (adenosine diphosphate-ribose) polymerase (PARP) inhibitors are unknown. A 73-year-old Japanese woman was started on niraparib maintenance therapy after radical surgery and adjuvant chemotherapy for high-grade serous carcinoma originating from the fallopian tube.
View Article and Find Full Text PDFThe first prophylactic vaccine against human papillomavirus (HPV) 16 and HPV18 was licensed in Japan in 2009. HPV vaccine effectiveness against high-grade cervical lesions has been demonstrated among young Japanese women, but evidence of its effects on invasive cervical cancer (ICC) is lacking. Using data from two different cancer registries, we compared recent trends of new ICC cases by age group using Poisson regression analysis.
View Article and Find Full Text PDFTo the best of our knowledge, the present study is the first to elucidate the significance of cytology and high-risk human papillomavirus (hrHPV) status in different age groups for the detection of cervical intraepithelial neoplasia (CIN)2, CIN3 and squamous cell carcinoma (SCC). There were 12 combinations based on cytology and hrHPV status [cytology: Atypical squamous cells (ASC) of undetermined significance, low-grade squamous intraepithelial lesion, ASC not excluding high-grade squamous intraepithelial lesion (HSIL) and HSIL; hrHPV status: HPV16/18-positive (16/18+), hrHPV positive for subtypes other than 16/18 (others+) and hrHPV-negative (hrHPV-)]. All patients were categorized into four groups based on age (18-29, 30-39, 40-49 and ≥50 years).
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