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Cancer metabolomics

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https://www.readbyqxmd.com/read/28811829/metabolomics-analysis-for-defining-serum-biochemical-markers-in-colorectal-cancer-patients-with-qi-deficiency-syndrome-or-yin-deficiency-syndrome
#1
Fangfang Tao, Ping Lü, Chunbo Xu, Mengmeng Zheng, Wenhong Liu, Minhe Shen, Shanming Ruan
Colorectal cancer is one of the leading causes of tumor-associated death, and traditional Chinese medicine (TCM) classifies colorectal cancer into various subtypes mainly according to the symptomatic pattern identification (ZHENG). Here, we investigated the difference in metabolic profiles of serum by comparing colorectal cancer subjects with Nondeficiency (ND), Qi deficiency (QD), and Yin deficiency (YD). The ratio of subjects with carcinoembryonic antigen (CEA) was higher in YD pattern, and the ratio of subjects with carbohydrate antigen 19-9 (CA19-9) was higher both in YD and in QD, compared with ND...
2017: Evidence-based Complementary and Alternative Medicine: ECAM
https://www.readbyqxmd.com/read/28809118/glucose-limitation-alters-glutamine-metabolism-in-muc1-overexpressing-pancreatic-cancer-cells
#2
Teklab Gebregiworgis, Vinee Purohit, Surendra K Shukla, Saber Tadros, Nina V Chaika, Jaime Abrego, Scott E Mulder, Venugopal Gunda, Pankaj K Singh, Robert Powers
Pancreatic cancer cells overexpressing MUC1 rely on aerobic glycolysis and, correspondingly, are dependent on glucose for survival. Our NMR metabolomics comparative analysis of control (S2-013.Neo) and MUC1-overexpressing (S2-013.MUC1) cells demonstrate that MUC1 reprograms glutamine metabolism upon glucose limitation. The observed alteration in glutamine metabolism under glucose limitation accompanied with a relative decrease in the proliferation of MUC1-overexpressing cells compared to steady state conditions...
August 15, 2017: Journal of Proteome Research
https://www.readbyqxmd.com/read/28808226/atr-inhibition-facilitates-targeting-of-leukemia-dependence-on-convergent-nucleotide-biosynthetic-pathways
#3
Thuc M Le, Soumya Poddar, Joseph R Capri, Evan R Abt, Woosuk Kim, Liu Wei, Nhu T Uong, Chloe M Cheng, Daniel Braas, Mina Nikanjam, Peter Rix, Daria Merkurjev, Jesse Zaretsky, Harley I Kornblum, Antoni Ribas, Harvey R Herschman, Julian Whitelegge, Kym F Faull, Timothy R Donahue, Johannes Czernin, Caius G Radu
Leukemia cells rely on two nucleotide biosynthetic pathways, de novo and salvage, to produce dNTPs for DNA replication. Here, using metabolomic, proteomic, and phosphoproteomic approaches, we show that inhibition of the replication stress sensing kinase ataxia telangiectasia and Rad3-related protein (ATR) reduces the output of both de novo and salvage pathways by regulating the activity of their respective rate-limiting enzymes, ribonucleotide reductase (RNR) and deoxycytidine kinase (dCK), via distinct molecular mechanisms...
August 14, 2017: Nature Communications
https://www.readbyqxmd.com/read/28806730/a-systems-approach-reveals-distinct-metabolic-strategies-among-the-nci-60-cancer-cell-lines
#4
Maike K Aurich, Ronan M T Fleming, Ines Thiele
The metabolic phenotype of cancer cells is reflected by the metabolites they consume and by the byproducts they release. Here, we use quantitative, extracellular metabolomic data of the NCI-60 panel and a novel computational method to generate 120 condition-specific cancer cell line metabolic models. These condition-specific cancer models used distinct metabolic strategies to generate energy and cofactors. The analysis of the models' capability to deal with environmental perturbations revealed three oxotypes, differing in the range of allowable oxygen uptake rates...
August 14, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28804556/anti-tumor-efficacy-evaluation-of-a-novel-monoclonal-antibody-targeting-neutral-amino-acid-transporter-asct2-using-patient-derived-xenograft-mouse-models-of-gastric-cancer
#5
Noriyuki Kasai, Aya Sasakawa, Kenta Hosomi, Tze Wei Poh, Bernadette Lynn Chua, Wei Peng Yong, Jimmy So, Shing Leng Chan, Richie Soong, Koji Kono, Toshihiko Ishii, Kazuya Yamano
ASC amino acid transporter 2 (ASCT2), also known as solute linked carrier family 1 member A5 (SLC1A5) is a Na+-dependent glutamine/neutral amino acid transporter. ASCT2 acts as a high-affinity transporter of L-glutamine (Gln) and has been reported to be up-regulated in a variety of cancerous tissues including stomach, liver, and kidney. In this study, we evaluated anti-tumor efficacy of a novel anti-ASCT2 humanized monoclonal antibody, KM8094, which has a neutralizing activity against glutamine uptake, as a therapeutic antibody against gastric cancer and explored clinical predictive biomarker candidates by utilizing patient-derived xenograft (PDX) mouse models...
2017: American Journal of Translational Research
https://www.readbyqxmd.com/read/28804274/non-invasive-urinary-metabolomic-profiling-discriminates-prostate-cancer-from-benign-prostatic-hyperplasia
#6
Clara Pérez-Rambla, Leonor Puchades-Carrasco, María García-Flores, José Rubio-Briones, José Antonio López-Guerrero, Antonio Pineda-Lucena
INTRODUCTION: Prostate cancer (PCa) is one of the most common malignancies in men worldwide. Serum prostate specific antigen (PSA) level has been extensively used as a biomarker to detect PCa. However, PSA is not cancer-specific and various non-malignant conditions, including benign prostatic hyperplasia (BPH), can cause a rise in PSA blood levels, thus leading to many false positive results. OBJECTIVES: In this study, we evaluated the potential of urinary metabolomic profiling for discriminating PCa from BPH...
2017: Metabolomics: Official Journal of the Metabolomic Society
https://www.readbyqxmd.com/read/28803255/panel-of-serum-metabolites-discriminates-cancer-patients-and-healthy-participants-of-lung-cancer-screening-a-pilot-study
#7
Małgorzata Roś-Mazurczyk, Anna Wojakowska, Łukasz Marczak, Krzysztof Polański, Monika Pietrowska, Joanna Polanska, Rafał Dziadziuszko, Jacek Jassem, Witold Rzyman, Piotr Widlak
INTRODUCTION: Blood biomarkers may support early diagnosis of lung cancer by enabling pre-selection of candidates for computed tomography screening or discrimination between benign and malignant screening-detected nodules. We aimed to identify features of serum metabolome distinguishing individuals with early-detected lung cancer from healthy participants of the lung cancer screening program. METHODS: Blood samples were collected in the course of a low-dose computed tomography screening program performed in the Gdansk district (Northern Poland)...
August 12, 2017: Acta Biochimica Polonica
https://www.readbyqxmd.com/read/28789930/commentary-on-an-integrated-metabolic-atlas-of-clear-cell-renal-cell-carcinoma-hakimi-aa-reznik-e-lee-ch-creighton-cj-brannon-ar-luna-a-aksoy-ba-liu-em-shen-r-lee-w-chen-y-stirdivant-sm-russo-p-chen-yb-tickoo-sk-reuter-ve-cheng-eh-sander-c-hsieh-jj-cancer-cell
#8
Byron H Lee
Dysregulated metabolism is a hallmark of cancer, manifested through alterations in metabolites. We performed metabolomic profiling on 138 matched clear cell renal cell carcinoma (ccRCC)/normal tissue pairs and found that ccRCC is characterized by broad shifts in central carbon metabolism, one-carbon metabolism, and antioxidant response. Tumor progression and metastasis were associated with metabolite increases in glutathione and cysteine/methionine metabolism pathways. We develop an analytic pipeline and visualization tool (metabolograms) to bridge the gap between TCGA transcriptomic profiling and our metabolomic data, which enables us to assemble an integrated pathway-level metabolic atlas and to demonstrate discordance between transcriptome and metabolome...
August 5, 2017: Urologic Oncology
https://www.readbyqxmd.com/read/28783331/discovery-and-synthesis-of-caracolamide-a-an-ion-channel-modulating-dichlorovinylidene-containing-phenethylamide-from-a-panamanian-marine-cyanobacterium-cf-symploca-species
#9
C Benjamin Naman, Jehad Almaliti, Lorene Armstrong, Eduardo J Caro-Díaz, Marsha L Pierce, Evgenia Glukhov, Amanda Fenner, Carmenza Spadafora, Hosana M Debonsi, Pieter C Dorrestein, Thomas F Murray, William H Gerwick
A recent untargeted metabolomics investigation into the chemical profile of 10 organic extracts from cf. Symploca spp. revealed several interesting chemical leads for further natural product drug discovery. Subsequent target-directed isolation efforts with one of these, a Panamanian marine cyanobacterium cf. Symploca sp., yielded a phenethylamide metabolite that terminates in a relatively rare gem-dichlorovinylidene moiety, caracolamide A (1), along with a known isotactic polymethoxy-1-alkene (2). Detailed NMR and HRESIMS analyses were used to determine the structures of these molecules, and compound 1 was confirmed by a three-step synthesis...
August 7, 2017: Journal of Natural Products
https://www.readbyqxmd.com/read/28777343/detection-of-four-distinct-volatile-indicators-of-colorectal-cancer-using-functionalized-titania-nanotubular-arrays
#10
Dhiman Bhattacharyya, Pankaj Kumar, Swomitra K Mohanty, York R Smith, Mano Misra
Screening of colorectal cancer is crucial for early stage diagnosis and treatment. Detection of volatile organic compounds (VOCs) of the metabolome present in exhaled breath is a promising approach to screen colorectal cancer (CRC). Various forms of volatile organic compounds (VOCs) that show the definitive signature for the different diseases including cancers are present in exhale breathe. Among all the reported CRC VOCs, cyclohexane, methylcyclohexane, 1,3-dimethyl- benzene and decanal are identified as the prominent ones that can be used as the signature for CRC screening...
August 4, 2017: Sensors
https://www.readbyqxmd.com/read/28776421/serum-metabolomics-can-predict-the-outcome-of-first-systematic-transrectal-prostate-biopsy-in-patients-with-psa-10-ng-ml
#11
Iulia Andras, Nicolae Crisan, Stefan Vesa, Razvan Rahota, Florina Romanciuc, Andrei Lazar, Carmen Socaciu, Deliu-Victor Matei, Ottavio de Cobelli, Ioan-Stelian Bocsan, Radu-Tudor Coman
AIM: To assess the predictive value of metabolomic analysis for the presence of prostate cancer (PCa) at first systematic biopsy. PATIENTS & METHODS: Ninety serum samples from patients with suspicion for PCa were included. Targeted and nontargeted metabolomic analysis was performed. RESULTS: Six metabolites were combined into a predictive score. A cutoff value of 0.528 for the metabolomic score showed a good accuracy for the prediction of PCa at biopsy (Area under the curve (AUC): 0...
August 4, 2017: Future Oncology
https://www.readbyqxmd.com/read/28771772/altered-glutamine-metabolism-in-breast-cancer-subtype-dependencies-and-alternative-adaptations
#12
REVIEW
Rokaya El Ansari, Alan McIntyre, Madeleine L Craze, Ian O Ellis, Emad A Rakha, Andrew R Green
Cancer cells must alter their metabolism in order to satisfy the demands of necessary energy and cellular building blocks. These metabolic alterations are mediated by many oncogenic changes that affect cellular signalling pathways, which result in sustained cell growth and proliferation. Recently, metabolomics, has received great attention in the field of cancer research and as the essential metabolic pathways that drive tumour growth and progression are determined, the possibilities of new targets for therapeutic intervention are opened...
August 3, 2017: Histopathology
https://www.readbyqxmd.com/read/28768910/sexual-dimorphism-in-glioma-glycolysis-underlies-sex-differences-in-survival
#13
Joseph E Ippolito, Aldrin Kay-Yuen Yim, Jingqin Luo, Prakash Chinnaiyan, Joshua B Rubin
The molecular bases for sex differences in cancer remain undefined and how to incorporate them into risk stratification remains undetermined. Given sex differences in metabolism and the inverse correlation between fluorodeoxyglucose (FDG) uptake and survival, we hypothesized that glycolytic phenotyping would improve glioma subtyping. Using retrospectively acquired lower-grade glioma (LGG) transcriptome data from The Cancer Genome Atlas (TCGA), we discovered male-specific decreased survival resulting from glycolytic gene overexpression...
August 3, 2017: JCI Insight
https://www.readbyqxmd.com/read/28768294/measurement-of-metabolic-fluxes-using-stable-isotope-tracers-in-whole-animals-and-human-patients
#14
Julie A Reisz, Angelo D'Alessandro
PURPOSE OF REVIEW: Metabolic flux analysis using stable isotope labeled substrates allows for the tracing of carbon, nitrogen, and hydrogen atoms through metabolic pathways and is an invaluable tool for investigating dynamic metabolic changes occurring in health and disease. Studies of flux analysis in vivo are more technically challenging than in vitro or ex vivo but provide a highly detailed view of organ and/or systemic metabolism. We review here recent efforts in studies of diet and nutrition, non-small cell lung cancer, ischemia/reperfusion injury, and hemorrhagic shock where in vivo flux analysis was utilized to analyze metabolic modulation...
September 2017: Current Opinion in Clinical Nutrition and Metabolic Care
https://www.readbyqxmd.com/read/28766915/metabolomics-analysis-reveals-distinct-profiles-of-nonmuscle-invasive-and-muscle-invasive-bladder-cancer
#15
Divya Sahu, Yair Lotan, Bryan Wittmann, Bruce Neri, Donna E Hansel
Urothelial carcinoma is the most common form of bladder cancer, but pathway changes that occur with stage-wise progression have not been well defined. We used a metabolomics approach to identify potential metabolic pathways uniquely altered in normal urothelium, nonmuscle-invasive bladder cancer (NMIBC), and muscle-invasive bladder cancer (MIBC). We performed global metabolomic profiling using GC-mass spectrometry (MS) and LC-MS platforms to identify metabolite signatures between normal urothelium and high-grade urothelial carcinoma of different stages...
August 1, 2017: Cancer Medicine
https://www.readbyqxmd.com/read/28758405/blood-metabolic-signatures-of-body-mass-index-a-targeted-metabolomics-study-in-the-epic-cohort
#16
Marion Carayol, Michael F Leitzmann, Pietro Ferrari, Raul Zamora-Ros, David Achaintre, Magdalena Stepien, Julie A Schmidt, Ruth C Travis, Kim Overvad, Anne Tjønneland, Louise Hansen, Rudolf Kaaks, Tilman Kühn, Heiner Boeing, Ursula Bachlechner, Antonia Trichopoulou, Christina Bamia, Domenico Palli, Claudia Agnoli, Rosario Tumino, Paolo Vineis, Salvatore Panico, J Ramón Quirós, Emilio Sanchez-Cantalejo, José María Huerta, Eva Ardanaz, Larraitz Arriola, Antonio Agudo, Jan Nilsson, Olle Melander, Bas Bueno-de-Mesquita, Petra H Peeters, Nick Wareham, Kay-Tee Khaw, Mazda Jenab, Timothy J Key, Augustin Scalbert, Sabina Rinaldi
OBJECTIVE: Metabolomic is now widely used to characterize metabolic phenotypes associated with lifestyle risk factors such as obesity. The objective of the present study was to explore the associations of body mass index (BMI) with 145 metabolites measured in blood samples in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. METHODS: Metabolites were measured in blood from 392 men from the Oxford (UK) cohort (EPIC-Oxford) and in 327 control subjects who were part of a nested case-control study on hepatobiliary carcinomas (EPIC-Hepatobiliary)...
July 31, 2017: Journal of Proteome Research
https://www.readbyqxmd.com/read/28758372/metabolomic-profiling-of-long-term-weight-change-role-of-oxidative-stress-and-urate-levels-in-weight-gain
#17
Cristina Menni, Marie Migaud, Gabi Kastenmüller, Tess Pallister, Jonas Zierer, Annette Peters, Robert P Mohney, Tim D Spector, Vincenzo Bagnardi, Christian Gieger, Steve C Moore, Ana M Valdes
OBJECTIVE: To investigate the association between long-term weight change and blood metabolites. METHODS: Change in BMI over 8.6 ± 3.79 years was assessed in 3,176 females from the TwinsUK cohort (age range: 18.3-79.6, baseline BMI: 25.11 ± 4.35) measured for 280 metabolites at follow-up. Statistically significant metabolites (adjusting for covariates) were included in a multivariable least absolute shrinkage and selection operator (LASSO) model. Findings were replicated in the Cooperative Health Research in the Region of Augsburg (KORA) study (n = 1,760; age range: 25-70, baseline BMI: 27...
July 31, 2017: Obesity
https://www.readbyqxmd.com/read/28755525/a-distinct-serum-metabolic-signature-of-distant-metastatic-papillary-thyroid-carcinoma
#18
Chen-Tian Shen, Yinan Zhang, Yu-Min Liu, Shan Yin, Xin-Yun Zhang, Wei-Jun Wei, Zhen-Kui Sun, Hong-Jun Song, Zhong-Ling Qiu, Cong-Rong Wang, Quan-Yong Luo
BACKGROUND: Although the incidence rate for thyroid cancer seems to have begun stabilizing in recent years, an increased rate of advanced stage of this disease has been reported. Additionally, distant metastasis is one of the most important prognostic factors of patients with papillary thyroid carcinoma (PTC). Unfortunately, the underlying mechanisms of distant metastasis as well as cell status like metabolism changes in distant metastatic tumors have not been clearly elucidated. OBJECTIVE: To identify serum metabolic signature of distant metastatic PTC...
July 29, 2017: Clinical Endocrinology
https://www.readbyqxmd.com/read/28754861/metabolomics-and-eicosanoid-analysis-identified-serum-biomarkers-for-distinguishing-hepatocellular-carcinoma-from-hepatitis-b-virus-related-cirrhosis
#19
Zhi-Gang Gong, Weijie Zhao, Jianbing Zhang, Xi Wu, Jing Hu, Guo-Chang Yin, Yong-Jiang Xu
Hepatocellular carcinoma (HCC) is one of the most common cancers in the world. It is a type of inflammation-related cancer that usually follows liver hepatitis that mostly caused by hepatitis B virus (HBV) in China. However, the metabolism disturbance of HCC and HBV-cirrhosis is not yet fully understood. In addition, there is little research on the relationships between inflammation mediators and HCC. In this study, we investigated serum metabolic abnormalities in HBV-cirrhosis and HCC patients through non-targeted metabolomics and targeted eicosanoid analysis...
July 10, 2017: Oncotarget
https://www.readbyqxmd.com/read/28750734/gc-ms-based-metabolomics-used-for-the-identification-of-cancer-volatile-organic-compounds-as-biomarkers
#20
REVIEW
Giuseppe Lubes, Mohammad Goodarzi
A biomarker can be a metabolite, coming from a metabolic pathway or cell process, which might be employed in the diagnostic of diseases, predict patient response towards chemical therapies and/or monitor disease recurrences. Biomarkers, e.g. aldehydes or hydrocarbons, are often identified from different body fluids such as blood, urine, serum, saliva or from various tissues samples, and their concentration can vary from one sample to the other. However, the detection and the action of these biomarkers for diseases is a complicated process...
July 17, 2017: Journal of Pharmaceutical and Biomedical Analysis
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