preparation-mitochondria-from-ovarian-cancer-tissues-control-ovarian

Preparation of Mitochondria from Ovarian Cancer Tissues and Control Ovarian Tissues for Quantitative Proteomics Analysis

Ovarian cancer is a common gynecologic cancer with high mortality but unclear molecular mechanism. Most ovarian cancers are diagnosed in the advanced ...

Central South University

To investigate the value of indocyanine green retention rate at 15 minutes (ICG R15) on postoperative day 3 combined with standard remnant liver volume (SRLV) in predicting the occurrence of liver dysfunction after hepatectomyin hepatocellular carcinoma (HCC).  Methods: The clinical data of 61 HCC patients undergone hepatectomy in Xiangya Hospital of Central South University from January 2015 to February 2016 were collected and analyzed. The patients were divided into 2 groups: a normal liver function group (n=40) and a liver dysfunction group (n=21). Univariate analysis was used to evaluate the risk factors for postoperative liver dysfunction. Logistic regression was used to assess the independent risk factors for postoperative liver dysfunction, and the regression equation between independent risk factors and postoperative liver dysfunction was established. The receiver operating characteristic (ROC) curve was used to examine the regression equation and compare the value difference in predicting postoperative liver dysfunction between single and combined independent risk factors.  Results: Postoperative liver dysfunction occurred in 21 of the 61 patients, with an incidence rate at 34.4%. There was no significant difference in the time of operation, time of hepatic portal occlusion, volume of tumor and volume of resected liver between the 2 groups (all P>0.05), but there were significant differences in the ICG R15 on postoperative day 3, intraoperative blood loss and SRLV between the 2 groups (all P<0.05). The ICG R15 on postoperative day 3, intraoperative blood loss, SRLV were the risk factors for postoperative liver dysfunction. Logistic regression analysis showed ICG R15 on postoperative day 3 and SRLV were the independent risk factors for postoperative liver dysfunction, and the regression equation between independent risk factors and postoperative liver dysfunction was as follows: logit(P)=1.277+0.140×ICG R15 on postoperative day 3-5.125×SRLV. The area under the ROC curve of ICG R15 on postoperative day 3 combined with SRLV was more than that of single ICG R15 and single SRLV.  Conclusion: ICG R15 on postoperative day 3 and SRLV are the independent risk factors for postoperative liver dysfunction. The regression equation, which is established by combination of ICG R15 with SRLV, can predict the occurrence of postoperative liver dysfunction. The accuracy of ICG R15 on postoperative day 3 combined with SRLV is better than that of single ICG R15 or single SRLV.

[Value of postoperative indocyanine green retention rate at 15 minutes combined with standard remnant liver volume in predicting liver dysfunction after hepatectomy].

Mitochondria play important roles in growth, signal transduction, division, tumorigenesis and energy metabolism in epithelial ovarian carcinomas (EOCs) without an effective biomarker. To investigate the proteomic profile of EOC mitochondrial proteins, a 6-plex isobaric tag for relative and absolute quantification (iTRAQ) proteomics was used to identify mitochondrial expressed proteins (mtEPs) in EOCs relative to controls, followed by an integrative analysis of the identified mtEPs and the Cancer Genome Atlas (TCGA) data from 419 patients. A total of 5115 quantified proteins were identified from purified mitochondrial samples, and 262 proteins were significantly related to overall survival in EOC patients. Furthermore, 63 proteins were identified as potential biomarkers for the development of an EOC, and our findings were consistent with previous reports on a certain extent. Pathway network analysis identified 70 signaling pathways. Interestingly, the results demonstrated that cancer cells exhibited an increased dependence on mitophagy, such as peroxisome, phagosome, lysosome, valine, leucine and isoleucine degradation and fatty acid degradation pathways, which might play an important role in EOC invasion and metastasis. Five proteins (GLDC, PCK2, IDH2, CPT2 and HMGCS2) located in the mitochondrion and enriched pathways were selected for further analysis in an EOC cell line and tissues, and the results confirmed reliability of iTRAQ proteomics. These findings provide a large-scale mitochondrial proteomic profiling with quantitative information, a certain number of potential protein biomarkers and a novel vision in the mitophagy bio-mechanism of a human ovarian carcinoma.

Quantitative analysis of the mitochondrial proteome in human ovarian carcinomas.

This data article presents a differentially mitochondrial proteomic dataset in human ovarian cancer tissues relative to control tissues. The mitochondrial samples were prepared from human ovarian cancer and control ovary tissues, and were digested with trypsin. The tryptic peptides from ovarian cancer and control mitochondrial samples were labeled by isobaric tags for relative and absolute quantification (iTRAQ) reagents, followed by strong-cation exchange (SCX) chromatography, liquid chromatography (LC)-tandem mass spectrometry (MS/MS), and bioinformatic analysis. This data article is related to a published article (Li et al., 2018) [1].

Article	Year
[Value of postoperative indocyanine green retention rate at 15 minutes combined with standard remnant liver volume in predicting liver dysfunction after hepatectomy]. Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences\| PubMed ID: 28690219	2017
Quantitative analysis of the mitochondrial proteome in human ovarian carcinomas. Endocrine-related cancer\| PubMed ID: 29997262	2018
The differentially mitochondrial proteomic dataset in human ovarian cancer relative to control tissues. Data in brief\| PubMed ID: 30186894	2018

Huanni Li

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