Literature DB >> 27797973

Integrative Systemic and Local Metabolomics with Impact on Survival in High-Grade Serous Ovarian Cancer.

Anna Bachmayr-Heyda1, Stefanie Aust1, Katharina Auer1, Samuel M Meier2, Klaus G Schmetterer3, Sabine Dekan4, Christopher Gerner2, Dietmar Pils5.   

Abstract

Purpose: Cancer metabolism is characterized by alterations including aerobic glycolysis, oxidative phosphorylation, and need of fuels and building blocks.Experimental Design: Targeted metabolomics of preoperative and follow-up sera, ascites, and tumor tissues, RNA sequencing of isolated tumor cells, local and systemic chemokine, and local immune cell infiltration data from up to 65 high-grade serous ovarian cancer patients and 62 healthy controls were correlated to overall survival and integrated in a Systems Medicine manner.
Results: Forty-three mainly (poly)unsaturated glycerophospholipids and four essential amino acids (citrulline) were significantly reduced in patients with short compared with long survival and healthy controls. The glycerophospholipid fingerprint is identical to the fingerprint from isolated (very) low-density lipoproteins (vLDL), indicating that the source of glycerophospholipids consumed by tumors is (v)LDL. A glycerophospholipid-score (HR, 0.46; P = 0.007) and a 100-gene signature (HR, 0.65; P = 0.004) confirmed the independent impact on survival in training (n = 65) and validation (n = 165) cohorts. High concentrations of LDLs and glycerophospholipids were independently predictors for favorable survival. Patients with low glycerophospholipids presented with more systemic inflammation (C-reactive protein and fibrinogen negatively and albumin positively correlated) but less adaptive immune cell tumor infiltration (lower tumor and immune cell PD-L1 expression), less oxygenic respiration and increased triglyceride biosynthesis in tumor cells, and lower histone expressions, correlating with higher numbers of expressed genes and more transcriptional noise, a putative neo-pluripotent tumor cell phenotype.Conclusions: Low serum phospholipids and essential amino acids are correlated with worse outcome in ovarian cancer, accompanied by a specific tumor cell phenotype. Clin Cancer Res; 23(8); 2081-92. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 27797973     DOI: 10.1158/1078-0432.CCR-16-1647

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  23 in total

1.  A Network Pharmacology-Based Analysis of Multi-Target, Multi-Pathway, Multi-Compound Treatment for Ovarian Serous Cystadenocarcinoma.

Authors:  Dan-Dan Xiong; Yue Qin; Wen-Qing Xu; Rong-Quan He; Hua-Yu Wu; Dan-Min Wei; Jing-Jing Zeng; Yi-Wu Dang; Gang Chen
Journal:  Clin Drug Investig       Date:  2018-10       Impact factor: 2.859

Review 2.  Application of metabolomics in sarcoma: From biomarkers to therapeutic targets.

Authors:  Li Min; Edwin Choy; Chongqi Tu; Francis Hornicek; Zhenfeng Duan
Journal:  Crit Rev Oncol Hematol       Date:  2017-05-13       Impact factor: 6.312

3.  Proteomics and metabolomics identify molecular mechanisms of aging potentially predisposing for chronic lymphocytic leukemia.

Authors:  Rupert L Mayer; Josef D Schwarzmeier; Marlene C Gerner; Andrea Bileck; Johanna C Mader; Samuel M Meier-Menches; Samuel M Gerner; Klaus G Schmetterer; Tobias Pukrop; Albrecht Reichle; Astrid Slany; Christopher Gerner
Journal:  Mol Cell Proteomics       Date:  2017-12-01       Impact factor: 5.911

4.  Usefulness of Amino Acid Profiling in Ovarian Cancer Screening with Special Emphasis on Their Role in Cancerogenesis.

Authors:  Szymon Plewa; Agnieszka Horała; Paweł Dereziński; Agnieszka Klupczynska; Ewa Nowak-Markwitz; Jan Matysiak; Zenon J Kokot
Journal:  Int J Mol Sci       Date:  2017-12-16       Impact factor: 5.923

5.  Absence of PD-L1 on tumor cells is associated with reduced MHC I expression and PD-L1 expression increases in recurrent serous ovarian cancer.

Authors:  Stefanie Aust; Sophie Felix; Katharina Auer; Anna Bachmayr-Heyda; Lukas Kenner; Sabine Dekan; Samuel M Meier; Christopher Gerner; Christoph Grimm; Dietmar Pils
Journal:  Sci Rep       Date:  2017-03-07       Impact factor: 4.379

6.  Identification of Metabolomic Biomarkers for Endometrial Cancer and Its Recurrence after Surgery in Postmenopausal Women.

Authors:  Yannick Audet-Delage; Lyne Villeneuve; Jean Grégoire; Marie Plante; Chantal Guillemette
Journal:  Front Endocrinol (Lausanne)       Date:  2018-03-12       Impact factor: 5.555

7.  Identification and functional analyses of differentially expressed metabolites in early stage endometrial carcinoma.

Authors:  Kun Shi; Qiong Wang; Yao Su; Xingcui Xuan; Yaqiong Liu; Weiwei Chen; Yuanmin Qian; Gendie E Lash
Journal:  Cancer Sci       Date:  2018-03-25       Impact factor: 6.716

8.  Assessment of Significant Pathway Signaling and Prognostic Value of GNG11 in Ovarian Serous Cystadenocarcinoma.

Authors:  Ming-Min Jiang; Fan Zhao; Tao-Tao Lou
Journal:  Int J Gen Med       Date:  2021-06-03

9.  High-grade ovarian serous carcinoma patients exhibit profound alterations in lipid metabolism.

Authors:  Elena Ioana Braicu; Silvia Darb-Esfahani; Wolfgang D Schmitt; Kaisa M Koistinen; Laura Heiskanen; Päivi Pöhö; Jan Budczies; Marc Kuhberg; Manfred Dietel; Christian Frezza; Carsten Denkert; Jalid Sehouli; Mika Hilvo
Journal:  Oncotarget       Date:  2017-10-26

Review 10.  Reprogramming of Mesothelial-Mesenchymal Transition in Chronic Peritoneal Diseases by Estrogen Receptor Modulation and TGF-β1 Inhibition.

Authors:  Robert B Wilson; Rami Archid; Marc A Reymond
Journal:  Int J Mol Sci       Date:  2020-06-10       Impact factor: 5.923

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