Patient characteristics.

<p>Patient characteristics.</p

Effects of siRNA knockdown of <i>PPP2R4</i>.

<p>(a) Real-time polymerase chain reaction and western blot analysis of cancer cells transfected with <i>PPP2R4</i>-specific siRNA and control siRNA. (b) WST-8 assay using cancer cell lines transfected with the <i>PPP2R4</i> siRNA and control siRNA. (c) Caspase 3/7 activity in the cancer cell lines transfected with the <i>PPP2R4</i> siRNA and control siRNA. (d) Western blot analysis of cell signaling changes in endometrial cancer cells transfected with the PPP2R4 siRNA and control siRNA. The expression levels of phospho-extracellular signal-regulated kinase 1/2 (ERK1/2), ERK1/2, phospho-protein kinase B (AKT), AKT, phosphor-ribosomal protein S6 (rpS6), rpS6, phospho-glycogen synthase kinase-3 beta (GSK3β), GSK3β, and cyclin D1 in cancer cells transfected with the siRNAs are shown. Columns and error bars represent the mean ± the standard error of the mean for at least three independent experiments.</p

Flowchart of patients.

<p>¹ This study is registered with UMIN000004852. The results of this study are published in <i>Cancer 2014;120(19)</i>:<i>2986–95</i>.</p

Complete hydatidiform moles are composed of paternal chromosomes and maternal mitochondria

<p>Mitochondrial DNA (mtDNA) and genomic DNA are produced in separate subcellular compartments. Human mtDNA is transmitted via maternal transmission in general. Complete hydatidiform moles (CHMs) represent major trophoblastic diseases that are cytogenetically exceptional because the chromosomal genomic DNA is derived only from sperm cells, making them strikingly different from normal concepti. However, few reports have described the mtDNA-transmission pattern in hydatidiform moles. To evaluate mtDNA transmission in androgenetic CHMs, we compared the sequences of hypervariable regions in 16 trios sets of mtDNAs from maternal, paternal, and villous samples of androgenetic CHMs diagnosed by short tandem repeat-polymorphism analysis. All mtDNAs in androgenetic CHMs were maternally derived, in line with the general human inheritance pattern. Three maternal mtDNAs were heteroplasmic. The heterozygous status of maternal mtDNA was reflected in villous tissue, in which variants status was also heterozygous. CHMs are composed of paternal chromosomes and maternal mitochondria.</p

Supplemental_material_022818 - Hypoxia Induces Hypoxia-Inducible Factor 1α and Potential HIF-Responsive Gene Expression in Uterine Leiomyoma

<p>Supplemental_material_022818 for Hypoxia Induces Hypoxia-Inducible Factor 1α and Potential HIF-Responsive Gene Expression in Uterine Leiomyoma by Hiroshi Ishikawa, Linlin Xu, Kunizui Sone, Tatsuya Kobayashi, Guiwen Wang, and Makio Shozu in Reproductive Sciences</p

Kaplan-Meier plots for SqCC patients.

Log-rank p values were calculated. Abbreviations: glcm = grey level co-occurrence matrix. (DOCX)</p

Summary of MRI acquisition protocols.

ObjectivesWe investigated prospectively whether, in cervical cancer (CC) treated with concurrent chemoradiotherapy (CCRT), the Apparent diffusion coefficient (ADC) histogram and texture parameters and their change rates during treatment could predict prognosis.MethodsFifty-seven CC patients treated with CCRT at our institution were included. They underwent MRI scans up to four times during the treatment course (1st, before treatment [n = 41], 2nd, at the start of image-guided brachytherapy (IGBT) [n = 41], 3rd, in the middle of IGBT [n = 27], 4th, after treatment [n = 53]). The entire tumor was manually set as the volume of interest (VOI) manually in the axial images of the ADC map by two radiologists. A total of 107 image features (morphology features 14, histogram features 18, texture features 75) were extracted from the VOI. The recurrence prediction values of the features and their change rates were evaluated by Receiver operating characteristics (ROC) analysis. The presence or absence of local and distant recurrence within two years was set as an outcome. The intraclass correlation coefficient (ICC) was also calculated.ResultsThe change rates in kurtosis between the 1st and 3rd, and 1st and 2nd MRIs, and the change rate in grey level co-occurrence matrix_cluster shade between the 2nd and 3rd MRIs showed particularly high predictive powers (area under the ROC curve = 0.785, 0.759, and 0.750, respectively), which exceeded the predictive abilities of the parameters obtained from pre- or post-treatment MRI only. The change rate in kurtosis between the 1st and 2nd MRIs had good reliability (ICC = 0.765).ConclusionsThe change rate in ADC kurtosis between the 1st and 2nd MRIs was the most reliable parameter, enabling us to predict prognosis early in the treatment course.</div

Mean and standard deviation (SD) in the change rate of kurtosis and glcm_ClusterShade in the recurrent and non-recurrent groups.

Mean and standard deviation (SD) in the change rate of kurtosis and glcm_ClusterShade in the recurrent and non-recurrent groups.</p

Flowchart showing patient enrolment and inclusion criteria.

The numbers of MR examinations available at each time point and number of calculated change rates are shown.</p

S1 File -

ObjectivesWe investigated prospectively whether, in cervical cancer (CC) treated with concurrent chemoradiotherapy (CCRT), the Apparent diffusion coefficient (ADC) histogram and texture parameters and their change rates during treatment could predict prognosis.MethodsFifty-seven CC patients treated with CCRT at our institution were included. They underwent MRI scans up to four times during the treatment course (1st, before treatment [n = 41], 2nd, at the start of image-guided brachytherapy (IGBT) [n = 41], 3rd, in the middle of IGBT [n = 27], 4th, after treatment [n = 53]). The entire tumor was manually set as the volume of interest (VOI) manually in the axial images of the ADC map by two radiologists. A total of 107 image features (morphology features 14, histogram features 18, texture features 75) were extracted from the VOI. The recurrence prediction values of the features and their change rates were evaluated by Receiver operating characteristics (ROC) analysis. The presence or absence of local and distant recurrence within two years was set as an outcome. The intraclass correlation coefficient (ICC) was also calculated.ResultsThe change rates in kurtosis between the 1st and 3rd, and 1st and 2nd MRIs, and the change rate in grey level co-occurrence matrix_cluster shade between the 2nd and 3rd MRIs showed particularly high predictive powers (area under the ROC curve = 0.785, 0.759, and 0.750, respectively), which exceeded the predictive abilities of the parameters obtained from pre- or post-treatment MRI only. The change rate in kurtosis between the 1st and 2nd MRIs had good reliability (ICC = 0.765).ConclusionsThe change rate in ADC kurtosis between the 1st and 2nd MRIs was the most reliable parameter, enabling us to predict prognosis early in the treatment course.</div