Clinical Significance of Screening Differential Metabolites in Ovarian Cancer Tissue and Ascites by LC/MS

Tumor cells not only show a vigorous metabolic state, but also reflect the disease progression and prognosis from their metabolites. To judge the progress and prognosis of ovarian cancer is generally based on the formation of ascites, or whether there is ascites recurrence during chemotherapy after ovarian cancer surgery. To explore the relationship between the production of ascites and ovarian cancer tissue, metabolomics was used to screen differential metabolites in this study. The significant markers leading to ascites formation and chemoresistance were screened by analyzing their correlation with the formation of ascites in ovarian cancer and the clinical indicators of patients, and then provided a theoretical basis. The results revealed that nine differential metabolites were screened out from 37 ovarian cancer tissues and their ascites, among which seven differential metabolites were screened from 22 self-paired samples. Sebacic acid and 20-COOH-leukotriene E4 were negatively correlated with the high expression of serum CA125. Carnosine was positively correlated with the high expression of serum uric acid. Hexadecanoic acid was negatively correlated with the high expression of serum γ-GGT and HBDH. 20a,22b-Dihydroxycholesterol was positively correlated with serum alkaline phosphatase and γ-GGT. In the chemotherapy-sensitive and chemotherapy-resistant ovarian cancer tissues, the differential metabolite dihydrothymine was significantly reduced in the chemotherapy-resistant group. In the ascites supernatant of the drug-resistant group, the differential metabolites, 1,25-dihydroxyvitamins D3-26, 23-lactonel and hexadecanoic acid were also significantly reduced. The results indicated that the nine differential metabolites could reflect the prognosis and the extent of liver and kidney damage in patients with ovarian cancer. Three differential metabolites with low expression in the drug-resistant group were proposed as new markers of chemotherapy efficacy in ovarian cancer patients with ascites.

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Expression of CUE domain containing 2 protein in serous ovarian cancer tissue: predicting disease-free and overall survival of patients

Journal of International Medical Research ◽

10.1177/0300060520954770 ◽

2020 ◽

Vol 48 (9) ◽

pp. 030006052095477

Author(s):

Hu Lingyun ◽

Li Ailing ◽

Li Yali ◽

You Yanqin ◽

Ning Jing

Keyword(s):

Ovarian Cancer ◽

Tumor Stage ◽

Cancer Tissue ◽

Serous Ovarian Cancer ◽

Ovarian Cancer Tissue ◽

Gynecology And Obstetrics ◽

Cancer Tissues ◽

Disease Free ◽

Cue Domain

Objective The aim of this study was to predict disease-free (DFS) and overall (OS) survival of cancer patients through expression of CUE domain containing 2 (CUEDC2) protein. Methods In this retrospective study, we investigated CUEDC2 expression in 75 serous ovarian cancer tissues and 34 tubal fimbria tissues by immunohistochemistry. Chemoresistance was analyzed using clinical follow-up data. Results CUEDC2 expression scores were 1.35 ± 0.60, 1.54 ± 0.57, 1.78 ± 0.71, and 2.13 ± 0.27 for International Federation of Gynecology and Obstetrics (FIGO) stages I, II, III, and IV tissues, respectively, indicating that CUEDC2 expression increased with stage and that scores differed between patients with early and advanced cancers. We found no differences in CUEDC2 expression for tissues with low, medium, and high differentiation. CUEDC2 expression was unrelated to patient age, pathological grade, or presence or absence of lymph node metastasis, but was related to tumor stage. For CUEDC2-positive patients, median DFS and OS survival were 32.6 and 54.3 months, respectively. For CUEDC2-negative patients, median DFS and OS were 51.9 and 63.5 months, respectively. Expression of CUEDC2 was correlated with DFS but not OS. Conclusion CUEDC2 is highly expressed in ovarian cancer tissues and is related to tumor stage and DFS.

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Optimization of aptamer selection on an automated microfluidic system with cancer tissues

Lab on a Chip ◽

10.1039/d0lc01333a ◽

2021 ◽

Vol 21 (4) ◽

pp. 725-734

Author(s):

Cheng-Sheng Lin ◽

Yi-Cheng Tsai ◽

Keng-Fu Hsu ◽

Gwo-Bin Lee

Keyword(s):

Ovarian Cancer ◽

High Specificity ◽

Microfluidic System ◽

Cancer Tissue ◽

Tissue Samples ◽

Ovarian Cancer Tissue ◽

Aptamer Selection ◽

Cancer Tissues

Optimization of aptamer selection using tissue samples has been carried out on an automated microfluidic system and one screened aptamer exhibited high specificity and affinity towards ovarian cancer tissue.

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Identification of Novel Biomarkers and Candidate Drug in Ovarian Cancer

Journal of Personalized Medicine ◽

10.3390/jpm11040316 ◽

2021 ◽

Vol 11 (4) ◽

pp. 316

Author(s):

Chia-Jung Li ◽

Li-Te Lin ◽

Pei-Yi Chu ◽

An-Jen Chiang ◽

Hsiao-Wen Tsai ◽

...

Keyword(s):

Ovarian Cancer ◽

Ovarian Tissue ◽

High Expression ◽

Cancer Tissue ◽

Ovarian Cancer Tissue ◽

Kaplan Meier ◽

Candidate Drug ◽

Therapeutic Value ◽

Novel Biomarkers ◽

Low Expression

This paper investigates the expression of the CREB1 gene in ovarian cancer (OV) by deeply excavating the gene information in the multiple databases and the mechanism thereof. In short, we found that the expression of the CREB1 gene in ovarian cancer tissue was significantly higher than that of normal ovarian tissue. Kaplan–Meier survival analysis showed that the overall survival was significantly shorter in patients with high expression of the CREB1 gene than those in patients with low expression of the CREB1 gene, and the prognosis of patients with low expression of the CREB1 gene was better. The CREB1 gene may play a role in the occurrence and development of ovarian cancer by regulating the process of protein. Based on differentially expressed genes, 20 small-molecule drugs that potentially target CREB1 with abnormal expression in OV were obtained from the CMap database. Among these compounds, we found that naloxone has the greatest therapeutic value for OV. The high expression of the CREB1 gene may be an indicator of poor prognosis in ovarian cancer patients. Targeting CREB1 may be a potential tool for the diagnosis and treatment of OV.

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Evaluation of the expression of the immunosuppressive enzyme – indoleamine 2,3-dioxygenase in ovarian cancer tissue

Menopausal Review ◽

10.5114/pm.2013.36587 ◽

2013 ◽

Vol 3 ◽

pp. 223-227

Author(s):

Ewelina Rogala ◽

Aldona Nowicka ◽

Wiesława Bednarek ◽

Bartłomiej Barczyński ◽

Wanda Piekarczyk ◽

...

Keyword(s):

Ovarian Cancer ◽

Cancer Tissue ◽

Ovarian Cancer Tissue ◽

Indoleamine 2,3 Dioxygenase

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Proteomic Analysis of Laser Microdissected Ovarian Cancer Tissue with SELDI-TOF MS

Methods in Molecular Biology - Laser Capture Microdissection ◽

10.1007/978-1-61779-163-5_12 ◽

2011 ◽

pp. 155-163 ◽

Cited By ~ 9

Author(s):

Isabelle Cadron ◽

Toon Van Gorp ◽

Philippe Moerman ◽

Etienne Waelkens ◽

Ignace Vergote

Keyword(s):

Ovarian Cancer ◽

Proteomic Analysis ◽

Cancer Tissue ◽

Ovarian Cancer Tissue ◽

Tof Ms

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The feasibility of storing ovarian tumor cells on databasing paper: establishing a library of ovarian cancer DNA

International Journal of Gynecological Cancer ◽

10.1111/j.1525-1438.2006.00755.x ◽

2007 ◽

Vol 17 (1) ◽

pp. 94-100 ◽

Cited By ~ 8

Author(s):

K. Galaal ◽

M. Meirovitz ◽

R. Hussain ◽

L. Allcroft ◽

N. Sullivan ◽

...

Keyword(s):

Ovarian Cancer ◽

Cell Suspension ◽

Direct Sequencing ◽

Genetic Material ◽

Cell Number ◽

Pcr Analysis ◽

Tissue Banks ◽

Cancer Tissue ◽

Ovarian Cancer Tissue ◽

The Stability

The purpose of this study was to assess the feasibility of establishing a library of ovarian cancer nucleic acids using paper matrix by: 1) confirming the stability of DNA stored on paper matrix over a prolonged period of time, 2) determining the amount of genetic material required for storage, and 3) establishing the stability of RNA. Tumor tissue from 66 patients with ovarian cancer was collected intraoperatively, frozen, and dissociated with collagenase and trypsin. A cell suspension was then prepared and spotted onto the paper. The numbers of cells that were stored on the paper were counted using a hemocytometer. The cell suspension was serially diluted and spotted on the paper matrix until the minimum cell number that can be stored and produce a PCR product was determined. PCR, STR genotyping and direct sequencing were performed on tissue stored on the paper matrix. FTA® paper was used as RNA template, and RT PCR converted the RNA to cDNA. Ten to 50 mg of ovarian cancer tissue was stored on FTA® paper. We stored 7 × 104 cells on ISOcode® paper and 18 × 104 cells on FTA® and obtained extractable DNA. PCR analysis on cards with DNA stored 18 months ago enabled us to establish the stability of DNA after storage. RNA was stable for 6 months when stored on FTA® cards. Since genetic material is extractable from the paper matrices after passage of time, it could be a suitable medium for the storage of genetic material in cancer tissue banks.

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The Clinicopathological Significance and Prognostic Value of Obg-Like Atpase 1 (OLA1) in Gastric Cancer

10.21203/rs.3.rs-362393/v1 ◽

2021 ◽

Author(s):

Juan Wang ◽

Zihan Zheng ◽

Qinghua Cao ◽

Xiufen Liu ◽

Zhiqing Wang

Keyword(s):

Gastric Cancer ◽

Overall Survival ◽

Cancer Patients ◽

Prognostic Value ◽

Biological Significance ◽

High Expression ◽

Cancer Tissue ◽

Cox Regression Analysis ◽

Gastric Cancer Patients ◽

Cancer Tissues

Abstract Backgroud Obg-like ATPase 1 (OLA1) is a member of the Obg family of P-loop NTPases and has recently been detected in several human cancer cells. However, its expression type and clinical relevance in gastric cancer remains unclear. Methods In the present study, 2 datasets downloaded from the open Gene Expression Omnibus database were used to evaluate the mRNA level of OLA1 in gastric cancer. Quantitative Reverse Transcription PCR further validated the mRNA expression in gastric cancer tissues. Immunohistochemistry was performed on gastric cancer tissue microarray to assess OLA1 protein expression type, prognostic value, biological significance and its association with Snail in 334 patients of gastric cancer. The prognostic value of combination of OLA1 and Snail has been evaluated. Results The results showed that OLA1 mRNA and protein were elevated in gastric cancer tissues. High expression of OLA1 was significantly associated with aggressive features, such as tumor size, lymph node metastasis and TNM stage (P = 0.0146, P = 0.0037, P < 0.001, respectively). Moreover, high levels of OLA1 predicted worse overall survival. Multivariate Cox regression analysis indicated that high expression of OLA1 was an independent prognostic factor for poor overall survival (hazard ratio, 0.573; 95% confidence interval, 0.376–0.872; P = 0.009). Additionally, OLA1 expression was positively correlated with Snail, and combination of them revealed improved prognostic accuracy for gastric cancer patients. Conclusions Our results suggested that OLA1 high expression was considered as an independent factor for the prediction of unfavorable prognosis in gastric cancer patients, and we believe that OLA1 could serve as a biomarker of poor prognosis and a novel target in treating gastric cancers.

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