A5065047108- Cancer, Lipids, and Metabolism
- Peroxisome Proliferator-Activated Receptors
- Cancer, Hypoxia, and Metabolism
- Metabolomics and Mass Spectrometry Studies
- Lipid metabolism and biosynthesis
- Surgical Simulation and Training
- BRCA gene mutations in cancer
- Health and Medical Research Impacts
- Quantum, superfluid, helium dynamics
- Immune Cell Function and Interaction
- Fluid Dynamics Simulations and Interactions
- Cancer Genomics and Diagnostics
- Concrete Corrosion and Durability
- Concrete Properties and Behavior
- Economic and Financial Impacts of Cancer
- Earthquake and Tsunami Effects
- Structural Engineering and Vibration Analysis
- Minimally Invasive Surgical Techniques
- Concrete and Cement Materials Research
- Railway Engineering and Dynamics
- Quantum Electrodynamics and Casimir Effect
- Pelvic and Acetabular Injuries
- Ethics in Clinical Research
- Cancer-related Molecular Pathways
- Quantum Mechanics and Applications
Keio University
2023-2024
Japan Clinical Cancer Research Organization
2024
Rikkyo University
2017
Findings from clinical trials have led to advancement of care for patients with gynecologic malignancies. However, restrictive inclusion into has been widely criticized inadequate representation the real-world population. Ideally, enrolled in should represent a broader population enhance external validity and facilitate translation outcomes across all relevant groups. Specifically, there systematic lack data underrepresented groups, many studies failing report or differentiate study...
Abstract Stearoyl-CoA desaturase 1 (SCD1) is an attractive target for cancer therapy. However, the clinical efficacy of SCD1 inhibitor monotherapy limited. There thus a need to elucidate mechanisms resistance inhibition and develop new therapeutic strategies combination In this study, we investigated molecular by which cells acquire endoplasmic reticulum (ER) stress-dependent cell death induced inhibition. inhibitor-sensitive -resistant were treated with inhibitors in vitro, accumulated...
Abstract Objectives: The initial learning curve is a barrier to introducing robotic surgery. Evidence regarding appropriate simulation programs that allow for smooth introduction of gynecological surgery remains limited. Materials and Methods: We retrospectively analyzed 149 patients who underwent gynecologic diseases. Before their first procedure, the surgeons completed training program. Assistant also programs, including setup procedures manipulation arm. Results: mean (± standard...
Ovarian cancer has a poor prognosis and is difficult to detect in early stages. Therefore, developing new diagnostic markers for early-stage ovarian critical. Here, we developed marker on the basis of fatty acid metabolism characteristics cells. The expression various metabolizing enzymes such as stearoyl-CoA desaturase 1 (SCD1) was altered tissue compared with that normal tissue. Changes enzymes, particularly SCD1, tissues were found alter concentrations multiple free acids (FFA) serum. We...
The composition dependence of gravitational constant $G$ is measured at the millimeter scale to test weak equivalence principle, which may be violated short range through new Yukawa interactions such as dilaton exchange force. A torsion balance on a turning table with two identical tungsten targets surrounded by different attractor materials (copper and aluminum) used measure torque means digital measurements position sensor. Values ratios $\tilde{G}_{Al-W}/\tilde{G}_{Cu-W} -1$...
<p>Serum FFA levels in patients with ovarian cancer and healthy donors. The of 18 FFAs (shown <a href="#tbl2" target="_blank">Table 2</a>) were measured by GC-MS the serum donors (<i>n</i> = 30) stage I to IV 41). <b>A,</b> Heat map average values for FFAs. Comparison n-7 n-9 (<b>B</b>) n-3 n-6 (<b>C</b>) fatty acid metabolic pathways. color arrows indicates higher or lower expression mRNA encoding lipid-metabolizing enzymes...
<p>Development of the stage I/II ovarian cancer detection model using serum FFAs levels. Diagnostic performance diagnostic index FA18:1 and FA20:0 in discovery (<b>A</b>) validation (<b>B</b>) sets. Left: Comparison between healthy donor (HD) patients with (Ov Pt). Right: ROC analysis. Threshold was set by calculating Youden analysis set. <b>C,</b> cross-validation method applied to complete dataset. <b>D,</b> CA125 on (left) (right)...
<p>Supplemental table S1. Characteristics of participants in the discovery set and validation set.</p>
<p>Supplemental figure S3. Diagnostic potential of levels 11 free fatty acids in patients with all stages ovarian cancer. ROC analysis serum increased (A) and decreased (B) values cancer compared healthy controls.</p>
<p>Supplemental figure S3. Diagnostic potential of levels 11 free fatty acids in patients with all stages ovarian cancer. ROC analysis serum increased (A) and decreased (B) values cancer compared healthy controls.</p>
<p>Supplemental figure S5. Correlation between serum free fatty acid levels and BMI in patients with early-stage ovarian cancer. Analysis of the correlation ability to diagnose stage I II cancer patients, shown Figure 5A B.</p>
<p>Supplemental figure S5. Correlation between serum free fatty acid levels and BMI in patients with early-stage ovarian cancer. Analysis of the correlation ability to diagnose stage I II cancer patients, shown Figure 5A B.</p>
<p>Correlation between SCD1 gene expression in tumor tissue and serum levels of SCD1-related FFAs patients with ovarian cancer. <b>A,</b> Comparison 18 cancer healthy donors, summarized volcano plots. –log<sub>10</sub> (<i>P</i> value) greater than 1.3 were considered significant. Correlation fatty acid ratios, FA16:1/FA16:0 (<b>B</b>) FA18:1/18:0 (<b>C</b>), representing activity, using paired samples (<i>n</i> =...
<p>Supplemental table S2. Characteristics of DI (FA18:1, FA20:0) and (CA125) in the discovery set validation set. Threshold was by calculating Youden’s index ROC analysis using FA20:0): -0.7531, (CA125): -0.018.</p>
<p>Supplemental table S2. Characteristics of DI (FA18:1, FA20:0) and (CA125) in the discovery set validation set. Threshold was by calculating Youden’s index ROC analysis using FA20:0): -0.7531, (CA125): -0.018.</p>
<div><p>Ovarian cancer has a poor prognosis and is difficult to detect in early stages. Therefore, developing new diagnostic markers for early-stage ovarian critical. Here, we developed marker on the basis of fatty acid metabolism characteristics cells. The expression various metabolizing enzymes such as stearoyl-CoA desaturase 1 (SCD1) was altered tissue compared with that normal tissue. Changes enzymes, particularly SCD1, tissues were found alter concentrations multiple free...
<p>Supplemental figure S1. Expression of fatty acid metabolizing enzymes in ovarian cancer tissue among clinical stages, related to Figure 1. Comparison gene expression 11 tissues stage I (n=17), II (n=6), and III (n=9). n.s., not significant.</p>
<p>Correlation between SCD1 gene expression in tumor tissue and serum levels of SCD1-related FFAs patients with ovarian cancer. <b>A,</b> Comparison 18 cancer healthy donors, summarized volcano plots. –log<sub>10</sub> (<i>P</i> value) greater than 1.3 were considered significant. Correlation fatty acid ratios, FA16:1/FA16:0 (<b>B</b>) FA18:1/18:0 (<b>C</b>), representing activity, using paired samples (<i>n</i> =...
<p>Serum FFA levels in patients with ovarian cancer and healthy donors. The of 18 FFAs (shown <a href="#tbl2" target="_blank">Table 2</a>) were measured by GC-MS the serum donors (<i>n</i> = 30) stage I to IV 41). <b>A,</b> Heat map average values for FFAs. Comparison n-7 n-9 (<b>B</b>) n-3 n-6 (<b>C</b>) fatty acid metabolic pathways. color arrows indicates higher or lower expression mRNA encoding lipid-metabolizing enzymes...
<p>Supplemental figure S2. Expression of fatty acid metabolizing enzymes in ovarian cancer tissue among histologic types, related to Figure 1. Comparison gene expression 11 tissues serous (n=8), clear cell (n=14) and endometrioid + mucinous others (E+M+O) (n=10). n.s., not significant.</p>
<p>Serum FFA levels are useful as early diagnostic markers for ovarian cancer. <b>A,</b> Comparison of serum in healthy donors (HD; <i>n</i> = 30) and patients with stage I/II (<i>n</i> III/IV 11) <b>B,</b> ROC curves detecting early-stage cancer using FFAs from A. *, <i>P</i> < 0.05; **, 0.01; ***, 0.001; ****, 0.0001.</p>
<p>Gene expression of fatty acid metabolizing enzymes in ovarian tumor tissue and normal tissue. Gene (ACC1, FASN, SCD1, FADS1, FADS2, ELOVL1–6) tissues (<i>n</i> = 9) (OV) 32) were measured by qRT-PCR. <b>A,</b> Heat map the 11 each sample. <b>B,</b> Principal component analysis patterns enzymes. <b>C–E,</b> Comparison levels Enzymes with higher (<b>C</b>), lower (<b>D</b>), unchanged are shown...