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Shah Y, Dahiya DS, Tiwari A, Kumar H, Gangwani MK, Ali H, Hayat U, Alsakarneh S, Singh S, Malik S, Sohail AH, Chandan S, Ali MA, Inamdar S. Advancements in Early Detection and Screening Strategies for Pancreatic Cancer: From Genetic Susceptibility to Novel Biomarkers. J Clin Med 2024; 13:4706. [PMID: 39200847 PMCID: PMC11355237 DOI: 10.3390/jcm13164706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 08/05/2024] [Accepted: 08/08/2024] [Indexed: 09/02/2024] Open
Abstract
Pancreatic cancer is a rare but lethal cancer due to its biologically aggressive nature, advanced stage at the time of diagnosis, and poor response to oncologic therapies. The risk of pancreatic cancer is significantly higher to 5% in certain high-risk individuals with inherited genetic susceptibility. Screening for pancreatic cancer in these individuals from high-risk groups can help with the early detection of pancreatic cancer as well as the detection of precursor lesions leading to early surgical resection and improved overall outcomes. The advancements in radiological imaging as well as advanced endoscopic procedures has made a significant impact on the early diagnosis, surveillance, and staging of pancreatic cancer. There is also a significant advancement in the development of biomarkers for the early detection of pancreatic cancer, which has also led to the development of liquid biopsy, allowing for microRNA detection in serum and circulating tumor cells. Various societies and organizations have provided guidelines for pancreatic cancer screening and surveillance in high-risk individuals. In this review, we aim to discuss the hereditary risk factors for developing pancreatic cancer, summarize the screening recommendations by different societies, and discuss the development of novel biomarkers and areas for future research in pancreatic cancer screening for high-risk individuals.
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Affiliation(s)
- Yash Shah
- Department of Internal Medicine, Trinity Health Oakland/Wayne State University, Pontiac, MI 48341, USA
| | - Dushyant Singh Dahiya
- Division of Gastroenterology, Hepatology & Motility, The University of Kansas School of Medicine, Kansas City, KS 66160, USA
| | - Angad Tiwari
- Department of Internal Medicine, Maharani Laxmi Bai Medical College, Jhansi 284001, Uttar Pradesh, India
| | - Harendra Kumar
- Department of Internal Medicine, Dow University of Health Sciences, Karachi 74200, Pakistan
| | - Manesh Kumar Gangwani
- Department of Gastroenterology and Hepatology, University of Arkansas For Medical Sciences, Little Rock, AR 72205, USA
| | - Hassam Ali
- Division of Gastroenterology, Hepatology & Nutrition, East Carolina University/Brody School of Medicine, Greenville, NC 27834, USA
| | - Umar Hayat
- Department of Internal Medicine, Geisinger Wyoming Valley Medical Center, Wilkes Barre, PA 18711, USA
| | - Saqr Alsakarneh
- Department of Internal Medicine, University of Missouri-Kansas City, Kansas City, MO 64110, USA
| | - Sahib Singh
- Department of Internal Medicine, Sinai Hospital, Baltimore, MD 21215, USA
| | - Sheza Malik
- Department of Internal Medicine, Rochester General Hospital, Rochester, NY 14621, USA
| | - Amir H. Sohail
- Department of Surgery, University of New Mexico, Albuquerque, NM 87131, USA
| | - Saurabh Chandan
- Center for Interventional Endoscopy (CIE), Advent Health, Orlando, FL 32803, USA
| | - Meer A. Ali
- Department of Gastroenterology and Hepatology, University of Arkansas For Medical Sciences, Little Rock, AR 72205, USA
| | - Sumant Inamdar
- Department of Gastroenterology and Hepatology, University of Arkansas For Medical Sciences, Little Rock, AR 72205, USA
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Agarwala PK, Nie S, Reid GE, Kapoor S. Global lipid remodelling by hypoxia aggravates migratory potential in pancreatic cancer while maintaining plasma membrane homeostasis. Biochim Biophys Acta Mol Cell Biol Lipids 2023; 1868:159398. [PMID: 37748704 DOI: 10.1016/j.bbalip.2023.159398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 09/27/2023]
Abstract
Hypoxia plays an important role in pancreatic cancer progression. It drives various metabolic reprogramming in cells including that of lipids, which in turn, can modify the structure and function of cell membranes. Homeostatic adaptation of membranes is well-recognized, but how and if it is regulated in hypoxic pancreatic cancer and its relation to aggressive phenotype and metastasis remains elusive. Here we show hypoxia-induced extensive global lipid remodelling spanning changes in lipid classes, unsaturation levels, glyceryl backbone and acyl chain lengths. No major modulation of plasma membrane biophysical properties revealed a decoupling of lipidome modulation from membrane properties under hypoxia. This was supported by observing minor changes in the lipidome of plasma membranes under hypoxia. Further, hypoxia increased migration and invasion underpinned by reduced actin volume, cell cortical stiffness and facile tether dynamics. In conclusion, we demonstrate buffering of the lipidome alterations leading to a homeostatic membrane response. These findings will help to understand the hypoxic regulation of pancreatic membrane homeostasis and identify tangible theranostic avenues.
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Affiliation(s)
- Prema Kumari Agarwala
- Department of Chemistry, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - Shuai Nie
- Melbourne Mass Spectrometry and Proteomics Facility, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Gavin E Reid
- School of Chemistry, The University of Melbourne, Parkville, Victoria 3010, Australia; Department of Biochemistry and Pharmacology, The University of Melbourne, Parkville, Victoria 3010, Australia; Bio21 Institute of Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Shobhna Kapoor
- Department of Chemistry, Indian Institute of Technology Bombay, Mumbai 400076, India; Graduate School of Integrated Sciences for Life, Hiroshima University, Hiroshima 739-8528, Japan.
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3
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Koltai T. Earlier Diagnosis of Pancreatic Cancer: Is It Possible? Cancers (Basel) 2023; 15:4430. [PMID: 37760400 PMCID: PMC10526520 DOI: 10.3390/cancers15184430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/31/2023] [Accepted: 08/06/2023] [Indexed: 09/29/2023] Open
Abstract
Pancreatic ductal adenocarcinoma has a very high mortality rate which has been only minimally improved in the last 30 years. This high mortality is closely related to late diagnosis, which is usually made when the tumor is large and has extensively infiltrated neighboring tissues or distant metastases are already present. This is a paradoxical situation for a tumor that requires nearly 15 years to develop since the first founding mutation. Response to chemotherapy under such late circumstances is poor, resistance is frequent, and prolongation of survival is almost negligible. Early surgery has been, and still is, the only approach with a slightly better outcome. Unfortunately, the relapse percentage after surgery is still very high. In fact, early surgery clearly requires early diagnosis. Despite all the advances in diagnostic methods, the available tools for improving these results are scarce. Serum tumor markers permit a late diagnosis, but their contribution to an improved therapeutic result is very limited. On the other hand, effective screening methods for high-risk populations have not been fully developed as yet. This paper discusses the difficulties of early diagnosis, evaluates whether the available diagnostic tools are adequate, and proposes some simple and not-so-simple measures to improve it.
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Affiliation(s)
- Tomas Koltai
- Hospital del Centro Gallego de Buenos Aires, Buenos Aires C1094, Argentina
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Yamashita S, Miyazawa T, Higuchi O, Kinoshita M, Miyazawa T. Marine Plasmalogens: A Gift from the Sea with Benefits for Age-Associated Diseases. Molecules 2023; 28:6328. [PMID: 37687157 PMCID: PMC10488995 DOI: 10.3390/molecules28176328] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 08/23/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
Aging increases oxidative and inflammatory stress caused by a reduction in metabolism and clearance, thus leading to the development of age-associated diseases. The quality of our daily diet and exercise is important for the prevention of these diseases. Marine resources contain various valuable nutrients, and unique glycerophospholipid plasmalogens are found abundantly in some marine invertebrates, including ascidians. One of the major classes, the ethanolamine class (PlsEtn), exists in a high ratio to phospholipids in the brain and blood, while decreased levels have been reported in patients with age-associated diseases, including Alzheimer's disease. Animal studies have shown that the administration of marine PlsEtn prepared from marine invertebrates improved PlsEtn levels in the body and alleviated inflammation. Animal and human studies have reported that marine PlsEtn ameliorates cognitive impairment. In this review, we highlight the biological significance, relationships with age-associated diseases, food functions, and healthcare materials of plasmalogens based on recent knowledge and discuss the contribution of marine plasmalogens to health maintenance in aging.
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Affiliation(s)
- Shinji Yamashita
- Department of Life and Food Sciences, Obihiro University of Agriculture and Veterinary Medicine, Obihiro 080-8555, Japan; (S.Y.); (M.K.)
| | - Taiki Miyazawa
- Food and Biotechnology Platform Promoting Project, New Industry Creation Hatchery Center (NICHe), Tohoku University, Sendai 980-8579, Japan; (T.M.); (O.H.)
| | - Ohki Higuchi
- Food and Biotechnology Platform Promoting Project, New Industry Creation Hatchery Center (NICHe), Tohoku University, Sendai 980-8579, Japan; (T.M.); (O.H.)
| | - Mikio Kinoshita
- Department of Life and Food Sciences, Obihiro University of Agriculture and Veterinary Medicine, Obihiro 080-8555, Japan; (S.Y.); (M.K.)
| | - Teruo Miyazawa
- Food and Biotechnology Platform Promoting Project, New Industry Creation Hatchery Center (NICHe), Tohoku University, Sendai 980-8579, Japan; (T.M.); (O.H.)
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5
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Choi M, Park M, Lee SH, Lee MJ, Paik Y, Jang SI, Lee DK, Lee S, Kang CM. Development of a metabolite calculator for diagnosis of pancreatic cancer. Cancer Med 2023; 12:15933-15944. [PMID: 37350558 PMCID: PMC10469663 DOI: 10.1002/cam4.6233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 04/22/2023] [Accepted: 06/01/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND Carbohydrate antigen (CA) 19-9 is a known pancreatic cancer (PC) biomarker, but is not commonly used for general screening due to its low sensitivity and specificity. This study aimed to develop a serum metabolites-based diagnostic calculator for detecting PC with high accuracy. METHODS A targeted quantitative approach of direct flow injection-tandem mass spectrometry combined with liquid chromatography-tandem mass spectrometry was employed for metabolomic analysis of serum samples using an Absolute IDQ™ p180 kit. Integrated metabolomic analysis was performed on 241 pooled or individual serum samples collected from healthy donors and patients from nine disease groups, including chronic pancreatitis, PC, other cancers, and benign diseases. Orthogonal partial least squares discriminant analysis (OPLS-DA) based on characteristics of 116 serum metabolites distinguished patients with PC from those with other diseases. Sparse partial least squares discriminant analysis (SPLS-DA) was also performed, incorporating simultaneous dimension reduction and variable selection. Predictive performance between discrimination models was compared using a 2-by-2 contingency table of predicted probabilities obtained from the models and actual diagnoses. RESULTS Predictive values obtained through OPLS-DA for accuracy, sensitivity, specificity, balanced accuracy, and area under the receiver operating characteristic curve (AUC) were 0.9825, 0.9916, 0.9870, 0.9866, and 0.9870, respectively. The number of metabolite candidates was narrowed to 76 for SPLS-DA. The SPLS-DA-obtained predictive values for accuracy, sensitivity, specificity, balanced accuracy, and AUC were 0.9773, 0.9649, 0.9832, 0.9741, and 0.9741, respectively. CONCLUSIONS We successfully developed a 76 metabolome-based diagnostic panel for detecting PC that demonstrated high diagnostic performance in differentiating PC from other diseases.
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Affiliation(s)
- Munseok Choi
- Department of Surgery, Yongin Severance HospitalYonsei University College of MedicineYongin‐siSouth Korea
| | - Minsu Park
- Department of Information and StatisticsChungnam National UniversityDaejeonSouth Korea
| | - Sung Hwan Lee
- Department of Surgery, CHA Bundang Medical CenterCHA UniversitySouth Korea
| | - Min Jung Lee
- Yonsei Proteome Research Center and Department of Integrated OMICS for Biomedical Science and Department of Biochemistry, College of Life Science and BiotechnologyYonsei UniversitySeoulSouth Korea
| | - Young‐Ki Paik
- Yonsei Proteome Research Center and Department of Integrated OMICS for Biomedical Science and Department of Biochemistry, College of Life Science and BiotechnologyYonsei UniversitySeoulSouth Korea
| | - Sung Il Jang
- Department of Internal Medicine, Gangnam Severance HospitalYonsei University College of MedicineSeoulSouth Korea
| | - Dong Ki Lee
- Department of Internal Medicine, Gangnam Severance HospitalYonsei University College of MedicineSeoulSouth Korea
| | - Sang‐Guk Lee
- Department of Laboratory Medicine, Severance HospitalYonsei University College of MedicineSeoulSouth Korea
| | - Chang Moo Kang
- Department of Surgery, Severance HospitalYonsei University College of MedicineSeoulSouth Korea
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6
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Naudin S, Sampson JN, Moore SC, Albanes D, Freedman ND, Weinstein SJ, Stolzenberg-Solomon R. Lipidomics and pancreatic cancer risk in two prospective studies. Eur J Epidemiol 2023; 38:783-793. [PMID: 37169992 PMCID: PMC11152614 DOI: 10.1007/s10654-023-01014-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 04/27/2023] [Indexed: 05/13/2023]
Abstract
Pancreatic ductal carcinoma (PDAC) is highly fatal with limited understanding of mechanisms underlying its carcinogenesis. We comprehensively investigated whether lipidomic measures were associated with PDAC in two prospective studies. We measured 904 lipid species and 252 fatty acids across 15 lipid classes in pre-diagnostic serum (up to 24 years) in a PDAC nested-case control study within the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO, NCT00002540) with 332 matched case-control sets including 272 having serial blood samples and Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study (ATBC, NCT00342992) with 374 matched case-control sets. Controls were matched to cases by cohort, age, sex, race, and date at blood draw. We used conditional logistic regression to calculate odds ratios (OR) and 95% confidence intervals (CI) per one-standard deviation increase in log-lipid concentrations within each cohort, and combined ORs using fixed-effects meta-analyses. Forty-three lipid species were associated with PDAC (false discovery rate, FDR ≤ 0.10), including lysophosphatidylcholines (LPC, n = 2), phosphatidylethanolamines (PE, n = 17), triacylglycerols (n = 13), phosphatidylcholines (PC, n = 3), diacylglycerols (n = 4), monoacylglycerols (MAG, n = 2), cholesteryl esters (CE, n = 1), and sphingomyelins (n = 1). LPC(18:2) and PE(O-16:0/18:2) showed significant inverse associations with PDAC at the Bonferroni threshold (P value < 5.5 × 10-5). The fatty acids LPC[18:2], LPC[16:0], PC[15:0], MAG[18:1] and CE[22:0] were significantly associated with PDAC (FDR < 0.10). Similar associations were observed in both cohorts. There was no significant association for the differences between PLCO serial lipidomic measures or heterogeneity by follow-up time overall. Results support that the pre-diagnostic serum lipidome, including 43 lipid species from 8 lipid classes and 5 fatty acids, is associated with PDAC.
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Affiliation(s)
- Sabine Naudin
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, DHHS, 9609 Medical Center Drive, NCI Shady Grove, Room 6E420, Rockville, MD, 20850, USA
| | - Joshua N Sampson
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Rockville, MD, USA
| | - Steven C Moore
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, DHHS, 9609 Medical Center Drive, NCI Shady Grove, Room 6E420, Rockville, MD, 20850, USA
| | - Demetrius Albanes
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, DHHS, 9609 Medical Center Drive, NCI Shady Grove, Room 6E420, Rockville, MD, 20850, USA
| | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, DHHS, 9609 Medical Center Drive, NCI Shady Grove, Room 6E420, Rockville, MD, 20850, USA
| | - Stephanie J Weinstein
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, DHHS, 9609 Medical Center Drive, NCI Shady Grove, Room 6E420, Rockville, MD, 20850, USA
| | - Rachael Stolzenberg-Solomon
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, DHHS, 9609 Medical Center Drive, NCI Shady Grove, Room 6E420, Rockville, MD, 20850, USA.
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7
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Kalantari S, Kazemi B, Roudi R, Zali H, D'Angelo A, Mohamadkhani A, Madjd Z, Pourshams A. RNA-sequencing for transcriptional profiling of whole blood in early stage and metastatic pancreatic cancer patients. Cell Biol Int 2022; 47:238-249. [PMID: 36229929 DOI: 10.1002/cbin.11924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 09/21/2022] [Indexed: 11/10/2022]
Abstract
We investigated the transcriptional profile of whole blood in early and metastatic stages of pancreatic cancer (PaC) patients to identify potential diagnostic factors for early diagnosis. Blood samples from 18 participants (6 healthy individuals, 6 patients in early stage (I/II) PaC, and 6 patients in metastatic PaC) were analyzed by RNA-sequencing. The expression levels of identified genes were subsequently compared with their expression in pancreatic tumor tissues based on TCGA data reported in UALCAN and GEPIA2 databases. Overall, 331 and 724 genes were identified as differentially expressed genes in early and metastatic stages, respectively. Of these, 146 genes were shared by early and metastatic stages. Upregulation of PTCD3 and UBA52 genes and downregulation of A2M and ARID1B genes in PaC patients were observed from early stage to metastasis. TCGA database showed increasing trend in expression levels of these genes from stage I to IV in pancreatic tumor tissue. Finally, we found that low expression of PTCD3, A2M, and ARID1B genes and high expression of UBA52 gene were positively correlated with PaC patients survival. We identified a four-gene set (PTCD3, UBA52, A2M, and ARID1B) expressed in peripheral blood of early stage and metastatic PaC patients that may be useful for PaC early diagnosis.
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Affiliation(s)
- Sima Kalantari
- Cellular and Molecular Biology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Bahram Kazemi
- Cellular and Molecular Biology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Raheleh Roudi
- Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Hakimeh Zali
- Proteomics Research Center, Shahid Beheshti University of Medical Science, Tehran, Iran.,Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Alberto D'Angelo
- Department of Biology and Biochemistry, University of Bath, Bath, UK
| | - Ashraf Mohamadkhani
- Liver and Pancreatobiliary Diseases Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Madjd
- Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Akram Pourshams
- Liver and Pancreatobiliary Diseases Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.,Digestive Oncology Research Center, Digestive Diseases Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
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8
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Wada Y, Okano K, Sato K, Sugimoto M, Shimomura A, Nagao M, Matsukawa H, Ando Y, Suto H, Oshima M, Kondo A, Asano E, Kishino T, Kumamoto K, Kobara H, Kamada H, Masaki T, Soga T, Suzuki Y. Tumor metabolic alterations after neoadjuvant chemoradiotherapy predict postoperative recurrence in patients with pancreatic cancer. Jpn J Clin Oncol 2022; 52:887-895. [PMID: 35523689 DOI: 10.1093/jjco/hyac074] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 04/13/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE We investigated the metabolic changes in pancreatic ductal adenocarcinoma to identify the mechanisms of treatment response of neoadjuvant chemoradiation therapy. METHODS Frozen tumor and non-neoplastic pancreas tissues were prospectively obtained from 88 patients with pancreatic ductal adenocarcinoma who underwent curative-intent surgery. Sixty-two patients received neoadjuvant chemoradiation therapy and 26 patients did not receive neoadjuvant therapy (control group). Comprehensive analysis of metabolites in tumor and non-neoplastic pancreatic tissue was performed by capillary electrophoresis-mass spectrometry. RESULTS Capillary electrophoresis-mass spectrometry detected 90 metabolites for analysis among more than 500 ionic metabolites quantified. There were significant differences in 27 tumor metabolites between the neoadjuvant chemoradiation therapy and control groups. There were significant differences in eight metabolites [1-MethylnNicotinamide, Carnitine, Glucose, Glutathione (red), N-acetylglucosamine 6-phosphate, N-acetylglucosamine 1-phosphate, UMP, Phosphocholine] between good responder and poor responder for neoadjuvant chemoradiation therapy. Among these metabolites, phosphocholine, Carnitine and Glutathione were associated with recurrence-free survival only in the neoadjuvant chemoradiation therapy group. Microarray confirmed marked gene suppression of choline transporters [CTL1-4 (SLC44A1-44A4)] in pancreatic ductal adenocarcinoma tissue of neoadjuvant chemoradiation therapy group. CONCLUSION The present study identifies several important metabolic consequences and potential neoadjuvant chemoradiation therapy targets in pancreatic ductal adenocarcinoma. Choline metabolism is one of the key pathways involved in recurrence of the patients with pancreatic ductal adenocarcinoma who received neoadjuvant chemoradiation therapy.
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Affiliation(s)
- Yukiko Wada
- Department of Gastroenterological Surgery, Kagawa University, Kita-gun, Kagawa, Japan
| | - Keiichi Okano
- Department of Gastroenterological Surgery, Kagawa University, Kita-gun, Kagawa, Japan
| | - Kiyotoshi Sato
- Institute for Advanced Biosciences, Keio University, Kakuganji, Tsuruoka, Japan
| | - Masahiro Sugimoto
- Institute for Advanced Biosciences, Keio University, Kakuganji, Tsuruoka, Japan
| | - Ayaka Shimomura
- Department of Gastroenterological Surgery, Kagawa University, Kita-gun, Kagawa, Japan
| | - Mina Nagao
- Department of Gastroenterological Surgery, Kagawa University, Kita-gun, Kagawa, Japan
| | - Hiroyuki Matsukawa
- Department of Gastroenterological Surgery, Kagawa University, Kita-gun, Kagawa, Japan
| | - Yasuhisa Ando
- Department of Gastroenterological Surgery, Kagawa University, Kita-gun, Kagawa, Japan
| | - Hironobu Suto
- Department of Gastroenterological Surgery, Kagawa University, Kita-gun, Kagawa, Japan
| | - Minoru Oshima
- Department of Gastroenterological Surgery, Kagawa University, Kita-gun, Kagawa, Japan
| | - Akihiro Kondo
- Department of Gastroenterological Surgery, Kagawa University, Kita-gun, Kagawa, Japan
| | - Eisuke Asano
- Department of Gastroenterological Surgery, Kagawa University, Kita-gun, Kagawa, Japan
| | - Takayoshi Kishino
- Department of Gastroenterological Surgery, Kagawa University, Kita-gun, Kagawa, Japan
| | - Kensuke Kumamoto
- Department of Gastroenterological Surgery, Kagawa University, Kita-gun, Kagawa, Japan
| | - Hideki Kobara
- Department of Gastroenterology and Neurology, Kagawa University, Takamatsu, Kagawa, Japan
| | - Hideki Kamada
- Department of Gastroenterology and Neurology, Kagawa University, Takamatsu, Kagawa, Japan
| | - Tsutomu Masaki
- Department of Gastroenterology and Neurology, Kagawa University, Takamatsu, Kagawa, Japan
| | - Tomoyoshi Soga
- Institute for Advanced Biosciences, Keio University, Kakuganji, Tsuruoka, Japan
| | - Yasuyuki Suzuki
- Department of Gastroenterological Surgery, Kagawa University, Kita-gun, Kagawa, Japan
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Elmallah MIY, Ortega-Deballon P, Hermite L, Pais-De-Barros JP, Gobbo J, Garrido C. Lipidomic profiling of exosomes from colorectal cancer cells and patients reveals potential biomarkers. Mol Oncol 2022; 16:2710-2718. [PMID: 35524452 PMCID: PMC9298677 DOI: 10.1002/1878-0261.13223] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 03/29/2022] [Accepted: 05/05/2022] [Indexed: 11/18/2022] Open
Abstract
Strong evidence suggests that differences in the molecular composition of lipids in exosomes depend on the cell type and has an influence on cancer initiation and progression. Here, we analyzed by liquid chromatography–mass spectrometry (LC‐MS) the lipidomic signature of exosomes derived from the human cell lines normal colon mucosa (NCM460D), and colorectal cancer (CRC) nonmetastatic (HCT116) and metastatic (SW620), and exosomes isolated from the plasma of nonmetastatic and metastatic CRC patients and healthy donors. Analysis of this exhaustive lipid study highlighted changes in some molecular species that were found in the cell lines and confirmed in the patients. For example, exosomes from primary cancer patients and nonmetastatic cells compared with healthy donors and control cells displayed a common marked increase in phosphatidylcholine (PC) 34 : 1, phosphatidylethanolamine (PE) 36 : 2, sphingomyelin (SM) d18 : 1/16 : 0, hexosylceramide (HexCer) d18 : 1/24 : 0 and HexCer d18 : 1/24 : 1. Interestingly, these same lipids species were decreased in the metastatic cell line and patients. Further, levels of PE 34 : 2, PE 36 : 2, and phosphorylated PE p16 : 0/20 : 4 were also significantly decreased in metastatic conditions when compared to the nonmetastatic counterparts. The only molecule species found markedly increased in metastatic conditions (in both patients and cells) when compared to controls was ceramide (Cer) d18 : 1/24 : 1. These decreases in lipid species in the extracellular vesicles might reflect function‐associated changes in the metastatic cell membrane. Although these potential biomarkers need to be validated in a larger cohort, they provide new insight toward the use of clusters of lipid biomarkers rather than a single molecule for the diagnosis of different stages of CRC.
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Affiliation(s)
- Mohammed I Y Elmallah
- INSERM, UMR 1231, Laboratoire d'Excellence LipSTIC and « Equipe labéllisée par la Ligue Nationale contre le Cancer », Dijon, France.,Faculty of Medicine and Pharmacy, Université de Bourgogne Franche-Comté, Dijon, France.,Chemistry Department, Faculty of Science, Helwan University, 11795 Ain Helwan, Cairo, Egypt
| | | | - Laure Hermite
- Anti-cancer Center Georges-François Leclerc, Dijon, France
| | - Jean-Paul Pais-De-Barros
- INSERM, UMR 1231, Laboratoire d'Excellence LipSTIC and « Equipe labéllisée par la Ligue Nationale contre le Cancer », Dijon, France.,Lipidomic Platform, F-21000, Dijon, France
| | - Jessica Gobbo
- INSERM, UMR 1231, Laboratoire d'Excellence LipSTIC and « Equipe labéllisée par la Ligue Nationale contre le Cancer », Dijon, France.,Anti-cancer Center Georges-François Leclerc, Dijon, France.,Clinical investigation center INSERM 1432, CHU Dijon-Bourgogne, Dijon, France
| | - Carmen Garrido
- INSERM, UMR 1231, Laboratoire d'Excellence LipSTIC and « Equipe labéllisée par la Ligue Nationale contre le Cancer », Dijon, France.,Faculty of Medicine and Pharmacy, Université de Bourgogne Franche-Comté, Dijon, France.,Anti-cancer Center Georges-François Leclerc, Dijon, France
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10
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Iwano T, Yoshimura K, Watanabe G, Saito R, Kiritani S, Kawaida H, Moriguchi T, Murata T, Ogata K, Ichikawa D, Arita J, Hasegawa K, Takeda S. High-performance Collective Biomarker from Liquid Biopsy for Diagnosis of Pancreatic Cancer Based on Mass Spectrometry and Machine Learning. J Cancer 2022; 12:7477-7487. [PMID: 35003367 PMCID: PMC8734412 DOI: 10.7150/jca.63244] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 10/12/2021] [Indexed: 02/07/2023] Open
Abstract
Background: Most pancreatic cancers are found at progressive stages when they cannot be surgically removed. Therefore, a highly accurate early detection method is urgently needed. Methods: This study analyzed serum from Japanese patients who suffered from pancreatic ductal adenocarcinoma (PDAC) and aimed to establish a PDAC-diagnostic system with metabolites in serum. Two groups of metabolites, primary metabolites (PM) and phospholipids (PL), were analyzed using liquid chromatography/electrospray ionization mass spectrometry. A support vector machine was employed to establish a machine learning-based diagnostic algorithm. Results: Integrating PM and PL databases improved cancer diagnostic accuracy and the area under the receiver operating characteristic curve. It was more effective than the algorithm based on either PM or PL database, or single metabolites as a biomarker. Subsequently, 36 statistically significant metabolites were fed into the algorithm as a collective biomarker, which improved results by accomplishing 97.4% and was further validated by additional serum. Interestingly, specific clusters of metabolites from patients with preoperative neoadjuvant chemotherapy (NAC) showed different patterns from those without NAC and were somewhat comparable to those of the control. Conclusion: We propose an efficient screening system for PDAC with high accuracy by liquid biopsy and potential biomarkers useful for assessing NAC performance.
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Affiliation(s)
- Tomohiko Iwano
- Department of Anatomy and Cell Biology, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Kentaro Yoshimura
- Department of Anatomy and Cell Biology, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Genki Watanabe
- Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ryo Saito
- First Department of Surgery, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Sho Kiritani
- Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hiromichi Kawaida
- First Department of Surgery, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Takeshi Moriguchi
- Department of Emergency and Critical Care Medicine, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | | | | | - Daisuke Ichikawa
- First Department of Surgery, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
| | - Junichi Arita
- Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kiyoshi Hasegawa
- Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Sen Takeda
- Department of Anatomy and Cell Biology, Faculty of Medicine, University of Yamanashi, Chuo, Yamanashi, Japan
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11
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Lima AR, Carvalho M, Aveiro SS, Melo T, Domingues MR, Macedo-Silva C, Coimbra N, Jerónimo C, Henrique R, Bastos MDL, Guedes de Pinho P, Pinto J. Comprehensive Metabolomics and Lipidomics Profiling of Prostate Cancer Tissue Reveals Metabolic Dysregulations Associated with Disease Development. J Proteome Res 2021; 21:727-739. [PMID: 34813334 DOI: 10.1021/acs.jproteome.1c00754] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Prostate cancer (PCa) is a global health problem that affects millions of men every year. In the past decade, metabolomics and related subareas, such as lipidomics, have demonstrated an enormous potential to identify novel mechanisms underlying PCa development and progression, providing a good basis for the development of new and more effective therapies and diagnostics. In this study, a multiplatform metabolomics and lipidomics approach, combining untargeted mass spectrometry (MS) and nuclear magnetic resonance (NMR)-based techniques, was applied to PCa tissues to investigate dysregulations associated with PCa development, in a cohort of 40 patients submitted to radical prostatectomy for PCa. Results revealed significant alterations in the levels of 26 metabolites and 21 phospholipid species in PCa tissue compared with adjacent nonmalignant tissue, suggesting dysregulation in 13 metabolic pathways associated with PCa development. The most affected metabolic pathways were amino acid metabolism, nicotinate and nicotinamide metabolism, purine metabolism, and glycerophospholipid metabolism. A clear interconnection between metabolites and phospholipid species participating in these pathways was observed through correlation analysis. Overall, these dysregulations may reflect the reprogramming of metabolic responses to produce high levels of cellular building blocks required for rapid PCa cell proliferation.
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Affiliation(s)
- Ana Rita Lima
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Márcia Carvalho
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,FP-I3ID, FP-ENAS, CEBIMED, University Fernando Pessoa, 4249-004 Porto, Portugal.,Faculty of Health Sciences, Fernando Pessoa University, 4200-150 Porto, Portugal
| | - Susana S Aveiro
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.,GreenCoLab - Green Ocean Association, University of Algarve, 8005-139 Faro, Portugal
| | - Tânia Melo
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.,Centre for Environmental and Marine Studies, CESAM, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - M Rosário Domingues
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.,Centre for Environmental and Marine Studies, CESAM, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Catarina Macedo-Silva
- Cancer Biology & Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
| | - Nuno Coimbra
- Department of Pathology and Molecular Immunology, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal.,Department of Pathology, Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
| | - Carmen Jerónimo
- Cancer Biology & Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal.,Department of Pathology and Molecular Immunology, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal
| | - Rui Henrique
- Cancer Biology & Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal.,Department of Pathology and Molecular Immunology, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal.,Department of Pathology, Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
| | - Maria de Lourdes Bastos
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Paula Guedes de Pinho
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Joana Pinto
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
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12
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Geroldinger-Simić M, Bögl T, Himmelsbach M, Sepp N, Buchberger W. Changes in Plasma Phospholipid Metabolism Are Associated with Clinical Manifestations of Systemic Sclerosis. Diagnostics (Basel) 2021; 11:diagnostics11112116. [PMID: 34829463 PMCID: PMC8625116 DOI: 10.3390/diagnostics11112116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 11/03/2021] [Accepted: 11/05/2021] [Indexed: 01/07/2023] Open
Abstract
Systemic sclerosis (SSc) is an autoimmune disease with fibrosis of the skin and/or internal organs, causing a decrease in quality of life and survival. There is no causative therapy, and the pathophysiology of the SSc remains unclear. Studies showed that lipid metabolism was relevant for autoimmune diseases, but little is known about the role of lipids in SSc. In the present study, we sought to explore the phospholipid profile of SSc by using the lipidomics approach. We also aimed to analyze lipidomics results for different clinical manifestations of SSc. Experiments were performed using high-performance liquid chromatography coupled to mass spectrometry for the lipidomic profiling of plasma samples from patients with SSc. Our study showed, for the first time, significant changes in the level of phospholipids such as plasmalogens and sphingomyelins from the plasma of SSc patients as compared to controls. Phosphatidylcholine plasmalogens species and sphingomyelins were significantly increased in SSc patients as compared to controls. Our results also demonstrated a significant association of changes in the metabolism of phospholipids (phosphatidylcholine and phosphatidylethanolamine plasmalogens species and sphingomyelins) with different clinical manifestations of SSc. Further lipidomic studies might lead to the detection of lipids as new biomarkers or therapeutic targets of SSc.
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Affiliation(s)
- Marija Geroldinger-Simić
- Department of Dermatology, Ordensklinikum Linz Elisabethinen, 4020 Linz, Austria;
- Faculty of Medicine, Johannes Kepler University Linz, 4040 Linz, Austria
- Correspondence:
| | - Thomas Bögl
- Institute for Analytical and General Chemistry, Johannes Kepler University Linz, 4040 Linz, Austria; (T.B.); (M.H.); (W.B.)
| | - Markus Himmelsbach
- Institute for Analytical and General Chemistry, Johannes Kepler University Linz, 4040 Linz, Austria; (T.B.); (M.H.); (W.B.)
| | - Norbert Sepp
- Department of Dermatology, Ordensklinikum Linz Elisabethinen, 4020 Linz, Austria;
| | - Wolfgang Buchberger
- Institute for Analytical and General Chemistry, Johannes Kepler University Linz, 4040 Linz, Austria; (T.B.); (M.H.); (W.B.)
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13
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Tomida S, Goodenowe DB, Koyama T, Ozaki E, Kuriyama N, Morita M, Yamazaki Y, Sakaguchi K, Uehara R, Taguchi T. Plasmalogen Deficiency and Overactive Fatty Acid Elongation Biomarkers in Serum of Breast Cancer Patients Pre- and Post-Surgery-New Insights on Diagnosis, Risk Assessment, and Disease Mechanisms. Cancers (Basel) 2021; 13:cancers13164170. [PMID: 34439324 PMCID: PMC8391794 DOI: 10.3390/cancers13164170] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 08/11/2021] [Accepted: 08/16/2021] [Indexed: 12/17/2022] Open
Abstract
Simple Summary Breast cancer (BC) is the most commonly diagnosed cancer in women. Mammography and ultrasonography are commonly used for BC screening; however, they are associated with problems such as inconvenience, radiation exposure, and dependence on the skill level of operators. To overcome this problem, we performed a comprehensive lipid metabolomic analysis of serum using high-resolution accurate mass spectrometry from two case-control studies that included non-BC, BC subjects pre-surgery and BC subjects one-month post-surgery to determine if the metabolic signatures of over-active fatty acid elongation and other lipid changes could be detected in BC vs. non-BC subjects. The ratios of the linoleic acid to the oleic acid which were evaluated in multiple lipid pools were lower in pre-surgery BC subjects, however, these ratios increased at post-surgery and were no longer different from non-BC subjects. On the other hand, the ethanolamine plasmalogen levels were lower in pre-surgery BC subjects and were not recovered by surgical removal. These do not appear to be caused by BC tumor activity and may be pre-existent and a possible risk factor for BC. In this study, we have identified several lipid metabolic systems that detect both BC risk and BC activity. Abstract The polyunsaturated fatty acid (PUFA) elongase, ELOVL5, is upregulated in breast cancer (BC) vs. adjacent normal tissue. We performed a comprehensive lipid metabolomic analysis of serum using high-resolution accurate mass spectrometry from two case-control studies that included non-BC, BC subjects pre-surgery, and BC subjects one-month post-surgery to determine if the metabolic signatures of over-active fatty acid elongation and other lipid changes could be detected in BC vs. non-BC subjects: study 1 (n = 48: non-BC, n = 69: pre-surgery BC); study 2 (blinded validation: n = 121: non-BC, n = 62: pre-surgery BC, n = 31: one month post-surgery). The ratio of the ELOVL5 precursor, linoleic acid (18:2) to a non-ELOVL5 precursor, oleic acid (18:1) was evaluated in multiple lipid pools (phosphatidylethanolamine (PtdEtn), phosphatidylcholine (PtdCho), lyso-PtdCho, and free fatty acids). This ratio was lower in pre-surgery BC subjects in all pools in both studies (p < 0.001). At one-month post-surgery, the 18:2/18:1 ratios increased vs. pre-surgery and were no longer different from non-BC subjects (p > 0.05 expect for lyso-PtdCho). In contrast to the elongation biomarkers, docosahexaenoic acid (22:6n-3) containing ethanolamine plasmalogen (EtnPls) species were observed to be further decreased in BC subjects one-month post-surgery vs. pre-surgery levels (p < 0.001). These results are consistent with the hypothesis that ELOVL5 is upregulated in BC tissue, which would result in the selective depletion of 18:2 vs. 18:1 containing lipid species. Surgical removal of the tumor removes the overactive ELOVL5 effect on serum lipids. In contrast, the low EtnPls levels do not appear to be caused by BC tumor activity and may be pre-existent and a possible risk factor for BC. These results indicate that it may be possible to screen for both breast cancer risk and breast cancer activity using a simple blood test.
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Affiliation(s)
- Satomi Tomida
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (S.T.); (M.M.); (K.S.); (T.T.)
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (E.O.); (N.K.); (R.U.)
| | | | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (E.O.); (N.K.); (R.U.)
- Correspondence: ; Tel.: +81-75-251-5789; Fax: +81-75-251-5799
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (E.O.); (N.K.); (R.U.)
| | - Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (E.O.); (N.K.); (R.U.)
- Shizuoka Graduate University of Public Health, 420-0881 Shizuoka, Japan
| | - Midori Morita
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (S.T.); (M.M.); (K.S.); (T.T.)
| | - Yasuyo Yamazaki
- Prodrome Sciences USA LLC, Temecula, CA 92591, USA; (D.B.G.); (Y.Y.)
| | - Koichi Sakaguchi
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (S.T.); (M.M.); (K.S.); (T.T.)
| | - Ritei Uehara
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (E.O.); (N.K.); (R.U.)
| | - Tetsuya Taguchi
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; (S.T.); (M.M.); (K.S.); (T.T.)
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14
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Ghamarzad Shishavan N, Masoudi S, Mohamadkhani A, Sepanlou SG, Sharafkhah M, Poustchi H, Mohamadnejad M, Hekmatdoost A, Pourshams A. Dietary intake of fatty acids and risk of pancreatic cancer: Golestan cohort study. Nutr J 2021; 20:69. [PMID: 34271937 PMCID: PMC8285839 DOI: 10.1186/s12937-021-00723-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 06/22/2021] [Indexed: 02/08/2023] Open
Abstract
Background As pancreatic cancer (PC) is a malignancy with poor prognosis, finding strategies for its prevention became a notable priority. Among all the factors influencing the risk of PC, dietary items especially fats are considered as the most modifiable risk factors.This study is designed to assess the associations of dietary intake of fatty acids with the risk of PC incidence. Methods A total of 50,045 adults between 40 and 75 years old participated in this cohort study in 2004–2008 and were followed up to the present. Intakes of fatty acids was evaluated by validated food-frequency questionnaire (FFQ). Cox proportional hazards regression model was used to estimate hazard ratio (HR) with 95 % confidence interval of differing levels of dietary intakes of fatty acids for incidence of PC. Results At the end of follow-up period, 76 cases of PC were identified and 46,904 participants without history of cancer, acute kidney disorders, fibrosis and cirrhosis were included in the study. Dietary total saturated fatty acids (SFAS) was associated with PC risk (HR = 1.05 (1.01–1.09), Ptrend=0.01), whereas dietary total monounsaturated fatty acids (MUFAS) was inversely associated with the risk of PC (HR = 0.92 (0.86–0.99), Ptrend=0.04). Dietary total polyunsaturated fatty acids (PUFAS) did show a protective but not significant association with the risk of PC (HR = 0.91(0.84-1.00), Ptrend=0.05). Conclusions The amount of total fat intake is not a risk factor for PC in our study and focusing on the intake of specific fatty acids becomes more striking. Unsaturated fatty acids including PUFAS and especially MUFAS are considered as protective dietary factors in PC prevention. In contrast, total SFAS is positively associated with the increased risk of PC. However, very long chain and odd-chain saturated fatty acids intake may be protective against PC.
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Affiliation(s)
- Neda Ghamarzad Shishavan
- Digestive Oncology Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Sahar Masoudi
- Digestive Oncology Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Ashraf Mohamadkhani
- Liver and Pancreatobiliary Diseases Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Sadaf G Sepanlou
- Digestive Oncology Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Sharafkhah
- Digestive Oncology Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Poustchi
- Liver and Pancreatobiliary Diseases Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Mohamadnejad
- Digestive Oncology Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Azita Hekmatdoost
- Departments of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Akram Pourshams
- Digestive Oncology Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
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15
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Zeleznik OA, Balasubramanian R, Zhao Y, Frueh L, Jeanfavre S, Avila-Pacheco J, Clish CB, Tworoger SS, Eliassen AH. Circulating amino acids and amino acid-related metabolites and risk of breast cancer among predominantly premenopausal women. NPJ Breast Cancer 2021; 7:54. [PMID: 34006878 PMCID: PMC8131633 DOI: 10.1038/s41523-021-00262-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 04/15/2021] [Indexed: 02/03/2023] Open
Abstract
Known modifiable risk factors account for a small fraction of premenopausal breast cancers. We investigated associations between pre-diagnostic circulating amino acid and amino acid-related metabolites (N = 207) and risk of breast cancer among predominantly premenopausal women of the Nurses' Health Study II using conditional logistic regression (1057 cases, 1057 controls) and multivariable analyses evaluating all metabolites jointly. Eleven metabolites were associated with breast cancer risk (q-value < 0.2). Seven metabolites remained associated after adjustment for established risk factors (p-value < 0.05) and were selected by at least one multivariable modeling approach: higher levels of 2-aminohippuric acid, kynurenic acid, piperine (all three with q-value < 0.2), DMGV and phenylacetylglutamine were associated with lower breast cancer risk (e.g., piperine: ORadjusted (95%CI) = 0.84 (0.77-0.92)) while higher levels of creatine and C40:7 phosphatidylethanolamine (PE) plasmalogen were associated with increased breast cancer risk (e.g., C40:7 PE plasmalogen: ORadjusted (95%CI) = 1.11 (1.01-1.22)). Five amino acids and amino acid-related metabolites (2-aminohippuric acid, DMGV, kynurenic acid, phenylacetylglutamine, and piperine) were inversely associated, while one amino acid and a phospholipid (creatine and C40:7 PE plasmalogen) were positively associated with breast cancer risk among predominately premenopausal women, independent of established breast cancer risk factors.
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Affiliation(s)
- Oana A Zeleznik
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Raji Balasubramanian
- Department of Biostatistics & Epidemiology, University of Massachusetts - Amherst, Amherst, MA, USA
| | - Yibai Zhao
- Department of Biostatistics & Epidemiology, University of Massachusetts - Amherst, Amherst, MA, USA
| | - Lisa Frueh
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Jeanfavre
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Julian Avila-Pacheco
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Clary B Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Shelley S Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - A Heather Eliassen
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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16
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Turanli B, Yildirim E, Gulfidan G, Arga KY, Sinha R. Current State of "Omics" Biomarkers in Pancreatic Cancer. J Pers Med 2021; 11:127. [PMID: 33672926 PMCID: PMC7918884 DOI: 10.3390/jpm11020127] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 02/08/2021] [Accepted: 02/11/2021] [Indexed: 02/06/2023] Open
Abstract
Pancreatic cancer is one of the most fatal malignancies and the seventh leading cause of cancer-related deaths related to late diagnosis, poor survival rates, and high incidence of metastasis. Unfortunately, pancreatic cancer is predicted to become the third leading cause of cancer deaths in the future. Therefore, diagnosis at the early stages of pancreatic cancer for initial diagnosis or postoperative recurrence is a great challenge, as well as predicting prognosis precisely in the context of biomarker discovery. From the personalized medicine perspective, the lack of molecular biomarkers for patient selection confines tailored therapy options, including selecting drugs and their doses or even diet. Currently, there is no standardized pancreatic cancer screening strategy using molecular biomarkers, but CA19-9 is the most well known marker for the detection of pancreatic cancer. In contrast, recent innovations in high-throughput techniques have enabled the discovery of specific biomarkers of cancers using genomics, transcriptomics, proteomics, metabolomics, glycomics, and metagenomics. Panels combining CA19-9 with other novel biomarkers from different "omics" levels might represent an ideal strategy for the early detection of pancreatic cancer. The systems biology approach may shed a light on biomarker identification of pancreatic cancer by integrating multi-omics approaches. In this review, we provide background information on the current state of pancreatic cancer biomarkers from multi-omics stages. Furthermore, we conclude this review on how multi-omics data may reveal new biomarkers to be used for personalized medicine in the future.
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Affiliation(s)
- Beste Turanli
- Department of Bioengineering, Marmara University, 34722 Istanbul, Turkey; (B.T.); (E.Y.); (G.G.)
| | - Esra Yildirim
- Department of Bioengineering, Marmara University, 34722 Istanbul, Turkey; (B.T.); (E.Y.); (G.G.)
| | - Gizem Gulfidan
- Department of Bioengineering, Marmara University, 34722 Istanbul, Turkey; (B.T.); (E.Y.); (G.G.)
| | - Kazim Yalcin Arga
- Department of Bioengineering, Marmara University, 34722 Istanbul, Turkey; (B.T.); (E.Y.); (G.G.)
- Turkish Institute of Public Health and Chronic Diseases, 34718 Istanbul, Turkey
| | - Raghu Sinha
- Department of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, PA 17033, USA
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17
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Xu H, Zhang L, Kang H, Liu J, Zhang J, Zhao J, Liu S. Metabolomics Identifies Biomarker Signatures to Differentiate Pancreatic Cancer from Type 2 Diabetes Mellitus in Early Diagnosis. Int J Endocrinol 2021; 2021:9990768. [PMID: 34868309 PMCID: PMC8639267 DOI: 10.1155/2021/9990768] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 10/07/2021] [Accepted: 11/02/2021] [Indexed: 12/26/2022] Open
Abstract
METHODS Plasma metabolic profiles in 26 PC patients, 27 DM patients, and 23 healthy volunteers were examined using an ultraperformance liquid chromatography coupled with tandem mass spectrometry platform. Differential metabolite ions were then identified using the principal component analysis (PCA) model and the orthogonal partial least-squares discrimination analysis (OPLS-DA) model. The diagnosis performance of metabolite biomarkers was validated by logistic regression models. RESULTS We established a PCA model (R2X = 23.5%, Q2 = 8.21%) and an OPLS-DA model (R2X = 70.0%, R2Y = 84.9%, Q2 = 69.7%). LysoPC (16 : 0), catelaidic acid, cerebronic acid, nonadecanetriol, and asparaginyl-histidine were found to identify PC, with a sensitivity of 89% and a specificity of 91%. Besides, lysoPC (16 : 0), lysoPC (16 : 1), lysoPC (22 : 6), and lysoPC (20 : 3) were found to differentiate PC from DM, with higher accuracy (68% versus 55%) and higher AUC values (72% versus 63%) than those of CA19-9. The diagnostic performance of metabolite biomarkers was finally validated by logistic regression models. CONCLUSION We succeeded in screening differential metabolite ions among PC and DM patients and healthy individuals, thus providing a preliminary basis for screening the biomarkers for the early diagnosis of PC.
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Affiliation(s)
- Hongmin Xu
- Department of Clinical Laboratory, The Third Central Hospital of Tianjin, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, No. 83, Jintang Road, Hedong District, Tianjin 300170, China
| | - Lei Zhang
- Department of Clinical Laboratory, The Third Central Hospital of Tianjin, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, No. 83, Jintang Road, Hedong District, Tianjin 300170, China
| | - Hua Kang
- Department of Clinical Laboratory, The Third Central Hospital of Tianjin, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, No. 83, Jintang Road, Hedong District, Tianjin 300170, China
| | - Jie Liu
- Department of Clinical Laboratory, The Third Central Hospital of Tianjin, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, No. 83, Jintang Road, Hedong District, Tianjin 300170, China
| | - Jiandong Zhang
- Department of Clinical Laboratory, The Third Central Hospital of Tianjin, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, No. 83, Jintang Road, Hedong District, Tianjin 300170, China
| | - Jie Zhao
- Department of Clinical Laboratory, The Third Central Hospital of Tianjin, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, No. 83, Jintang Road, Hedong District, Tianjin 300170, China
| | - Shuye Liu
- Department of Clinical Laboratory, The Third Central Hospital of Tianjin, Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Artificial Cell Engineering Technology Research Center, No. 83, Jintang Road, Hedong District, Tianjin 300170, China
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18
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Appelbaum L, Cambronero JP, Stevens JP, Horng S, Pollick K, Silva G, Haneuse S, Piatkowski G, Benhaga N, Duey S, Stevenson MA, Mamon H, Kaplan ID, Rinard MC. Development and validation of a pancreatic cancer risk model for the general population using electronic health records: An observational study. Eur J Cancer 2020; 143:19-30. [PMID: 33278770 DOI: 10.1016/j.ejca.2020.10.019] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 10/15/2020] [Accepted: 10/28/2020] [Indexed: 02/07/2023]
Abstract
AIM Pancreatic ductal adenocarcinoma (PDAC) is often diagnosed at a late, incurable stage. We sought to determine whether individuals at high risk of developing PDAC could be identified early using routinely collected data. METHODS Electronic health record (EHR) databases from two independent hospitals in Boston, Massachusetts, providing inpatient, outpatient, and emergency care, from 1979 through 2017, were used with case-control matching. PDAC cases were selected using International Classification of Diseases 9/10 codes and validated with tumour registries. A data-driven feature selection approach was used to develop neural networks and L2-regularised logistic regression (LR) models on training data (594 cases, 100,787 controls) and compared with a published model based on hand-selected diagnoses ('baseline'). Model performance was validated on an external database (408 cases, 160,185 controls). Three prediction lead times (180, 270 and 365 days) were considered. RESULTS The LR model had the best performance, with an area under the curve (AUC) of 0.71 (confidence interval [CI]: 0.67-0.76) for the training set, and AUC 0.68 (CI: 0.65-0.71) for the validation set, 365 days before diagnosis. Data-driven feature selection improved results over 'baseline' (AUC = 0.55; CI: 0.52-0.58). The LR model flags 2692 (CI 2592-2791) of 156,485 as high risk, 365 days in advance, identifying 25 (CI: 16-36) cancer patients. Risk stratification showed that the high-risk group presented a cancer rate 3 to 5 times the prevalence in our data set. CONCLUSION A simple EHR model, based on diagnoses, can identify high-risk individuals for PDAC up to one year in advance. This inexpensive, systematic approach may serve as the first sieve for selection of individuals for PDAC screening programs.
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Affiliation(s)
- Limor Appelbaum
- Beth Israel Deaconess Medical Center, Department of Radiation Oncology, 330 Brookline Ave, Boston, MA, 02215, USA.
| | - José P Cambronero
- Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, 32 Vassar St, Cambridge, MA, 02139, USA.
| | - Jennifer P Stevens
- Beth Israel Deaconess Medical Center, Center for Healthcare Delivery Science, 330 Brookline Ave, Boston, MA, 02215, USA.
| | - Steven Horng
- Beth Israel Deaconess Medical Center, Division of Emergency Medicine Informatics, 330 Brookline Ave, Boston, MA, 02215, USA.
| | - Karla Pollick
- Beth Israel Deaconess Medical Center, Center for Healthcare Delivery Science, 330 Brookline Ave, Boston, MA, 02215, USA.
| | - George Silva
- Beth Israel Deaconess Medical Center, Center for Healthcare Delivery Science, 330 Brookline Ave, Boston, MA, 02215, USA.
| | - Sebastien Haneuse
- Harvard University, T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA.
| | - Gail Piatkowski
- Beth Israel Deaconess Medical Center, Center for Healthcare Delivery Science, 330 Brookline Ave, Boston, MA, 02215, USA.
| | - Nordine Benhaga
- Beth Israel Deaconess Medical Center, Department of Radiation Oncology, 330 Brookline Ave, Boston, MA, 02215, USA.
| | - Stacey Duey
- Brigham and Women's Hospital, Partners Research IS and Computing, Information Systems Department, 75 Francis Street, Boston, MA, 02115, USA.
| | - Mary A Stevenson
- Beth Israel Deaconess Medical Center, Department of Radiation Oncology, 330 Brookline Ave, Boston, MA, 02215, USA.
| | - Harvey Mamon
- Dana Farber Cancer Institute/Radiation Oncology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
| | - Irving D Kaplan
- Beth Israel Deaconess Medical Center, Department of Radiation Oncology, 330 Brookline Ave, Boston, MA, 02215, USA.
| | - Martin C Rinard
- Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, 32 Vassar St, Cambridge, MA, 02139, USA.
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19
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Peng Z, Chang Y, Fan J, Ji W, Su C. Phospholipase A2 superfamily in cancer. Cancer Lett 2020; 497:165-177. [PMID: 33080311 DOI: 10.1016/j.canlet.2020.10.021] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 10/11/2020] [Accepted: 10/14/2020] [Indexed: 12/12/2022]
Abstract
Phospholipase A2 enzymes (PLA2s) comprise a superfamily that is generally divided into six subfamilies known as cytosolic PLA2s (cPLA2s), calcium-independent PLA2s (iPLA2s), secreted PLA2s (sPLA2s), lysosomal PLA2s, platelet-activating factor (PAF) acetylhydrolases, and adipose specific PLA2s. Each subfamily consists of several isozymes that possess PLA2 activity. The first three PLA2 subfamilies play important roles in inflammation-related diseases and cancer. In this review, the roles of well-studied enzymes sPLA2-IIA, cPLA2α and iPLA2β in carcinogenesis and cancer development were discussed. sPLA2-IIA seems to play conflicting roles and can act as a tumor suppressor or a tumor promoter according to the cancer type, but cPLA2α and iPLA2β play protumorigenic role in most cancers. The mechanisms of PLA2-mediated signal transduction and crosstalk between cancer cells and endothelial cells in the tumor microenvironment are described. Moreover, the mechanisms by which PLA2s mediate lipid reprogramming and glycerophospholipid remodeling in cancer cells are illustrated. PLA2s as the upstream regulators of the arachidonic acid cascade are generally high expressed and activated in various cancers. Therefore, they can be considered as potential pharmacological targets and biomarkers in cancer. The detailed information summarized in this review may aid in understanding the roles of PLA2s in cancer, and provide new clues for the development of novel agents and strategies for tumor prevention and treatment.
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Affiliation(s)
- Zhangxiao Peng
- Department of Molecular Oncology, Eastern Hepatobiliary Surgical Hospital & National Center for Liver Cancer, Navy Military Medical University, Shanghai, 200438, China.
| | - Yanxin Chang
- Department of Biliary Tract Surgery IV, Eastern Hepatobiliary Surgical Hospital, Navy Military Medical University, Shanghai, 200438, China.
| | - Jianhui Fan
- Mengchao Hepatobiliary Hospital, Fujian Medical University, Fuzhou, 350025, Fujian Province, China.
| | - Weidan Ji
- Department of Molecular Oncology, Eastern Hepatobiliary Surgical Hospital & National Center for Liver Cancer, Navy Military Medical University, Shanghai, 200438, China.
| | - Changqing Su
- Department of Molecular Oncology, Eastern Hepatobiliary Surgical Hospital & National Center for Liver Cancer, Navy Military Medical University, Shanghai, 200438, China.
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20
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Fontaine D, Figiel S, Félix R, Kouba S, Fromont G, Mahéo K, Potier-Cartereau M, Chantôme A, Vandier C. Roles of endogenous ether lipids and associated PUFAs in the regulation of ion channels and their relevance for disease. J Lipid Res 2020; 61:840-858. [PMID: 32265321 PMCID: PMC7269763 DOI: 10.1194/jlr.ra120000634] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 03/29/2020] [Indexed: 12/16/2022] Open
Abstract
Ether lipids (ELs) are lipids characterized by the presence of either an ether linkage (alkyl lipids) or a vinyl ether linkage [i.e., plasmalogens (Pls)] at the sn1 position of the glycerol backbone, and they are enriched in PUFAs at the sn2 position. In this review, we highlight that ELs have various biological functions, act as a reservoir for second messengers (such as PUFAs) and have roles in many diseases. Some of the biological effects of ELs may be associated with their ability to regulate ion channels that control excitation-contraction/secretion/mobility coupling and therefore cell physiology. These channels are embedded in lipid membranes, and lipids can regulate their activities directly or indirectly as second messengers or by incorporating into membranes. Interestingly, ELs and EL-derived PUFAs have been reported to play a key role in several pathologies, including neurological disorders, cardiovascular diseases, and cancers. Investigations leading to a better understanding of their mechanisms of action in pathologies have opened a new field in cancer research. In summary, newly identified lipid regulators of ion channels, such as ELs and PUFAs, may represent valuable targets to improve disease diagnosis and advance the development of new therapeutic strategies for managing a range of diseases and conditions.
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Affiliation(s)
- Delphine Fontaine
- Inserm N2C UMR1069, Université de Tours, F-37032 Tours CEDEX 1, France
| | - Sandy Figiel
- Inserm N2C UMR1069, Université de Tours, F-37032 Tours CEDEX 1, France
| | - Romain Félix
- Inserm N2C UMR1069, Université de Tours, F-37032 Tours CEDEX 1, France
| | - Sana Kouba
- Inserm N2C UMR1069, Université de Tours, F-37032 Tours CEDEX 1, France
| | - Gaëlle Fromont
- Inserm N2C UMR1069, Université de Tours, F-37032 Tours CEDEX 1, France; Department of Pathology, CHRU Bretonneau, F-37044 Tours CEDEX 9, France
| | - Karine Mahéo
- Inserm N2C UMR1069, Université de Tours, F-37032 Tours CEDEX 1, France; Faculté de Pharmacie, Université de Tours, F-37200 Tours, France
| | | | - Aurélie Chantôme
- Inserm N2C UMR1069, Université de Tours, F-37032 Tours CEDEX 1, France; Faculté de Pharmacie, Université de Tours, F-37200 Tours, France
| | - Christophe Vandier
- Inserm N2C UMR1069, Université de Tours, F-37032 Tours CEDEX 1, France. mailto:
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21
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Zhang X, Shi X, Lu X, Li Y, Zhan C, Akhtar ML, Yang L, Bai Y, Zhao J, Wang Y, Yao Y, Li Y, Nie H. Novel Metabolomics Serum Biomarkers for Pancreatic Ductal Adenocarcinoma by the Comparison of Pre-, Postoperative and Normal Samples. J Cancer 2020; 11:4641-4651. [PMID: 32626510 PMCID: PMC7330680 DOI: 10.7150/jca.41250] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 04/14/2020] [Indexed: 12/11/2022] Open
Abstract
Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive human malignancies. The metabolomic approaches are developed to discover the novel biomarkers of PDAC. Methods: 550 preoperative, postoperative PDAC and normal controls (NCs) serums were employed to characterize metabolic alterations in training and validation sets by LC-MS. Results: The results of PLS-DA analysis indicated that three groups could be distinguished clearly and the post-PDAC group is adjacent to a normal group as compared with pre-PDAC group. Further results showed that histidinyl-lysine significantly increased whereas docosahexaenoic acid and LysoPC (14:0) decreased in pre-PDAC patients as compared with NCs. And these three markers had a significant tendency to recover after tumor resection. The validation set results revealed that for CA19-9 negative patients, 92.3% (12/13) of them can be screened using these three metabolites. The combination of these markers could significantly improve the diagnostic performance for PDAC, with higher sensitivity (0.93), specificity (0.92) and AUC (0.97). Moreover, network and pathways analyses explored the latent relationship among differential metabolites. The glycerolipid metabolism and primary bile acid synthesis showed variation in network and pathway analysis. Conclusions: These three markers combined with CA199 displayed high sensitivity and specificity for detecting PDAC patients from NCs. The results indicated that these three metabolites could be regarded as potential biomarkers to distinguish PDAC from NCs.
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Affiliation(s)
- Xiaohan Zhang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Xiuyun Shi
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Xin Lu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Yiqun Li
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Chao Zhan
- The Affiliated Tumor Hospital, Harbin Medical University, Harbin, China
| | | | - Lijun Yang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Yunfan Bai
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Jianxiang Zhao
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Yu Wang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Yuanfei Yao
- The Affiliated Tumor Hospital, Harbin Medical University, Harbin, China
| | - Yu Li
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Huan Nie
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
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22
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Martín-Blázquez A, Jiménez-Luna C, Díaz C, Martínez-Galán J, Prados J, Vicente F, Melguizo C, Genilloud O, Pérez del Palacio J, Caba O. Discovery of Pancreatic Adenocarcinoma Biomarkers by Untargeted Metabolomics. Cancers (Basel) 2020; 12:E1002. [PMID: 32325731 PMCID: PMC7225994 DOI: 10.3390/cancers12041002] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 04/08/2020] [Accepted: 04/13/2020] [Indexed: 12/12/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal cancers, with a 5-year survival rate of less than 5%. In fact, complete surgical resection remains the only curative treatment. However, fewer than 20% of patients are candidates for surgery at the time of presentation. Hence, there is a critical need to identify diagnostic biomarkers with potential clinical utility in this pathology. In this context, metabolomics could be a powerful tool to search for new robust biomarkers. Comparative metabolomic profiling was performed in serum samples from 59 unresectable PDAC patients and 60 healthy controls. Samples were analyzed by using an untargeted metabolomics workflow based on liquid chromatography, coupled to high-resolution mass spectrometry in positive and negative electrospray ionization modes. Univariate and multivariate analysis allowed the identification of potential candidates that were significantly altered in PDAC patients. A panel of nine candidates yielded excellent diagnostic capacities. Pathway analysis revealed four altered pathways in our patients. This study shows the potential of liquid chromatography coupled to high-resolution mass spectrometry as a diagnostic tool for PDAC. Furthermore, it identified novel robust biomarkers with excellent diagnostic capacities.
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Affiliation(s)
- Ariadna Martín-Blázquez
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, 18016 Granada, Spain; (A.M.-B.); (C.D.); (F.V.); (O.G.); (J.P.d.P.)
| | - Cristina Jiménez-Luna
- Department of Oncology, Ludwig Institute for Cancer Research, University of Lausanne, 1066 Epalinges, Switzerland;
- Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18016 Granada, Spain; (C.M.); (O.C.)
| | - Caridad Díaz
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, 18016 Granada, Spain; (A.M.-B.); (C.D.); (F.V.); (O.G.); (J.P.d.P.)
| | - Joaquina Martínez-Galán
- Service of Medical Oncology, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain;
| | - Jose Prados
- Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18016 Granada, Spain; (C.M.); (O.C.)
- Instituto Biosanitario de Granada (ibs. GRANADA), 18016 Granada, Spain
| | - Francisca Vicente
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, 18016 Granada, Spain; (A.M.-B.); (C.D.); (F.V.); (O.G.); (J.P.d.P.)
| | - Consolación Melguizo
- Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18016 Granada, Spain; (C.M.); (O.C.)
- Instituto Biosanitario de Granada (ibs. GRANADA), 18016 Granada, Spain
| | - Olga Genilloud
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, 18016 Granada, Spain; (A.M.-B.); (C.D.); (F.V.); (O.G.); (J.P.d.P.)
| | - José Pérez del Palacio
- Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, 18016 Granada, Spain; (A.M.-B.); (C.D.); (F.V.); (O.G.); (J.P.d.P.)
| | - Octavio Caba
- Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18016 Granada, Spain; (C.M.); (O.C.)
- Instituto Biosanitario de Granada (ibs. GRANADA), 18016 Granada, Spain
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23
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Moore HB, Culp-Hill R, Reisz JA, Lawson PJ, Sauaia A, Schulick RD, Del Chiaro M, Nydam TL, Moore EE, Hansen KC, D'Alessandro A. The metabolic time line of pancreatic cancer: Opportunities to improve early detection of adenocarcinoma. Am J Surg 2019; 218:1206-1212. [PMID: 31514959 DOI: 10.1016/j.amjsurg.2019.08.015] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Revised: 06/30/2019] [Accepted: 08/20/2019] [Indexed: 12/24/2022]
Abstract
BACKGROUND A reliable biomarker to detect pancreatic ductal adenocarcinoma (PDAC) continues to be elusive. With employing metabolomics we hypothesize that a broader analysis of systemic blood can differentiate different stages of PDAC. METHODS Patients undergoing pancreatic resection had plasma samples grouped by diagnosis and assayed with mass spectrometry. 10 per group [neuroendocrine (PNET), intraductal papillary mucinous neoplasm (IPMN), localized PDAC, locally advanced PDAC, and metastatic] were analyzed to assess if metabolites could delineation different stages of adenocarcinoma. RESULTS Of the 215 metabolites measured, four had a stronger correlation to disease burden than CA19-9. However, none of these metabolites differentiated stepwise progression in malignancy. Principal component analysis identified five metabolic components. Each cancer cohort was characterized by a unique combination of components, two components were predictors of PDCA stages. CONCLUSIONS Enhanced metabolomic analysis identified metabolic pathways that may assist in differentiating PDCA stages that do not occur in a linear stepwise progression.
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Affiliation(s)
| | - Rachel Culp-Hill
- Department of Biochemistry and Molecular Genetics, University of Colorado, USA
| | - Julia A Reisz
- Department of Biochemistry and Molecular Genetics, University of Colorado, USA
| | | | - Angela Sauaia
- School of Public Health, University of Colorado, USA
| | | | | | | | - Ernest E Moore
- Department of Surgery, Denver Health Medical Center, USA
| | - Kirk C Hansen
- Department of Biochemistry and Molecular Genetics, University of Colorado, USA
| | - Angelo D'Alessandro
- Department of Biochemistry and Molecular Genetics, University of Colorado, USA
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24
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Kang CM, Yun B, Kim M, Song M, Kim YH, Lee SH, Lee H, Lee SM, Lee SM. Postoperative serum metabolites of patients on a low carbohydrate ketogenic diet after pancreatectomy for pancreatobiliary cancer: a nontargeted metabolomics pilot study. Sci Rep 2019; 9:16820. [PMID: 31727967 PMCID: PMC6856065 DOI: 10.1038/s41598-019-53287-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 10/29/2019] [Indexed: 02/07/2023] Open
Abstract
A ketogenic diet is a potential adjuvant cancer therapy that limits glucose availability to tumours while fuelling normal tissues with ketone bodies. We examined the effect of a low carbohydrate ketogenic diet (LCKD) (80% kcal from fat, ketogenic ratio 1.75:1, w/w) compared to a general hospital diet (GD) on serum metabolic profiles in patients (n = 18, ≥ 19 years old) who underwent pancreatectomy for pancreatobiliary cancer. Serum samples collected preoperatively (week 0) and after the dietary intervention (week 2) were analysed with a nontargeted metabolomics approach using liquid chromatography-tandem mass spectrometry. Serum β-hydroxybutyrate and total ketone levels significantly increased after 2 weeks of LCKD compared to GD (p < 0.05). Principal component analysis score plots and orthogonal partial least squares discriminant analysis also showed significant differences between groups at week 2, with strong validation. In all, 240 metabolites differed between LCKD and GD. Pathways including glycerophospholipid and sphingolipid metabolisms were significantly enriched in the LCKD samples. LCKD decreased C22:1-ceramide levels, which are reported to be high in pancreatic cancer, while increasing lysophosphatidylcholine (18:2), uric acid, citrulline, and inosine levels, which are generally low in pancreatic cancer. Postoperative LCKD might beneficially modulate pancreatic cancer-related metabolites in patients with pancreatobiliary cancer.
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Affiliation(s)
- Chang Moo Kang
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Yonsei University College of Medicine, Yonsei Pancreatobiliary Cancer Center, Severance Hospital, Seoul, 03722, Korea
| | - BoKyeong Yun
- Department of Food and Nutrition, BK21 PLUS Project, College of Human Ecology, Yonsei University, Seoul, 03722, Korea
| | - Minju Kim
- Department of Food and Nutrition, BK21 PLUS Project, College of Human Ecology, Yonsei University, Seoul, 03722, Korea
| | - Mina Song
- Department of Food and Nutrition, BK21 PLUS Project, College of Human Ecology, Yonsei University, Seoul, 03722, Korea
| | - Yeon-Hee Kim
- Department of Food and Nutrition, BK21 PLUS Project, College of Human Ecology, Yonsei University, Seoul, 03722, Korea
| | - Sung Hwan Lee
- Department of Systems Biology, University of Texas MD Anderson Cancer Center, Texas, 77030, United States
| | - Hosun Lee
- Department of Nutrition Care, Severance Hospital, Yonsei University Health System, Seoul, 03722, Korea
| | - Song Mi Lee
- Department of Nutrition Care, Severance Hospital, Yonsei University Health System, Seoul, 03722, Korea
| | - Seung-Min Lee
- Department of Food and Nutrition, BK21 PLUS Project, College of Human Ecology, Yonsei University, Seoul, 03722, Korea.
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25
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Gaiser RA, Pessia A, Ateeb Z, Davanian H, Fernández Moro C, Alkharaan H, Healy K, Ghazi S, Arnelo U, Valente R, Velagapudi V, Sällberg Chen M, Del Chiaro M. Integrated targeted metabolomic and lipidomic analysis: A novel approach to classifying early cystic precursors to invasive pancreatic cancer. Sci Rep 2019; 9:10208. [PMID: 31308419 PMCID: PMC6629680 DOI: 10.1038/s41598-019-46634-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 06/03/2019] [Indexed: 12/12/2022] Open
Abstract
Pancreatic cystic neoplasms (PCNs) are a highly prevalent disease of the pancreas. Among PCNs, Intraductal Papillary Mucinous Neoplasms (IPMNs) are common lesions that may progress from low-grade dysplasia (LGD) through high-grade dysplasia (HGD) to invasive cancer. Accurate discrimination of IPMN-associated neoplastic grade is an unmet clinical need. Targeted (semi)quantitative analysis of 100 metabolites and >1000 lipid species were performed on peri-operative pancreatic cyst fluid and pre-operative plasma from IPMN and serous cystic neoplasm (SCN) patients in a pancreas resection cohort (n = 35). Profiles were correlated against histological diagnosis and clinical parameters after correction for confounding factors. Integrated data modeling was used for group classification and selection of the best explanatory molecules. Over 1000 different compounds were identified in plasma and cyst fluid. IPMN profiles showed significant lipid pathway alterations compared to SCN. Integrated data modeling discriminated between IPMN and SCN with 100% accuracy and distinguished IPMN LGD or IPMN HGD and invasive cancer with up to 90.06% accuracy. Free fatty acids, ceramides, and triacylglycerol classes in plasma correlated with circulating levels of CA19-9, albumin and bilirubin. Integrated metabolomic and lipidomic analysis of plasma or cyst fluid can improve discrimination of IPMN from SCN and within PMNs predict the grade of dysplasia.
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Affiliation(s)
- Rogier Aäron Gaiser
- Division of Clinical Diagnostics and Surgery, DENTMED, Karolinska Institutet, Huddinge, Sweden
| | - Alberto Pessia
- Metabolomics Unit, Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Zeeshan Ateeb
- Division of Surgery, CLINTEC, Karolinska University Hospital, Stockholm, Sweden
| | - Haleh Davanian
- Division of Clinical Diagnostics and Surgery, DENTMED, Karolinska Institutet, Huddinge, Sweden
| | - Carlos Fernández Moro
- Department of Clinical Pathology/Cytology, Division of Pathology, Karolinska University Hospital, Huddinge, Sweden
- Division of Pathology, LABMED, Karolinska Institutet, Huddinge, Sweden
| | - Hassan Alkharaan
- Division of Clinical Diagnostics and Surgery, DENTMED, Karolinska Institutet, Huddinge, Sweden
- College of Dentistry, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Katie Healy
- Division of Clinical Diagnostics and Surgery, DENTMED, Karolinska Institutet, Huddinge, Sweden
| | - Sam Ghazi
- Department of Clinical Pathology/Cytology, Division of Pathology, Karolinska University Hospital, Huddinge, Sweden
| | - Urban Arnelo
- Division of Surgery, CLINTEC, Karolinska University Hospital, Stockholm, Sweden
| | - Roberto Valente
- Division of Surgery, CLINTEC, Karolinska University Hospital, Stockholm, Sweden
- Department for Digestive Diseases, Sapienza University of Rome, Rome, Italy
| | - Vidya Velagapudi
- Metabolomics Unit, Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Margaret Sällberg Chen
- Division of Clinical Diagnostics and Surgery, DENTMED, Karolinska Institutet, Huddinge, Sweden.
- Tenth People's Hospital, Tongji University, Shanghai, China.
| | - Marco Del Chiaro
- Division of Surgery, CLINTEC, Karolinska University Hospital, Stockholm, Sweden.
- Division of Surgical Oncology, Department of Surgery, University of Colorado Denver, Aurora, CO, USA.
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26
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Alsaleh M, Barbera TA, Reeves HL, Cramp ME, Ryder S, Gabra H, Nash K, Shen YL, Holmes E, Williams R, Taylor-Robinson SD. Characterization of the urinary metabolic profile of cholangiocarcinoma in a United Kingdom population. Hepat Med 2019; 11:47-67. [PMID: 31118840 PMCID: PMC6507078 DOI: 10.2147/hmer.s193996] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 03/06/2019] [Indexed: 01/09/2023] Open
Abstract
Background: Outside South-East Asia, most cases of cholangiocarcinoma (CCA) have an obscure etiology. There is often diagnostic uncertainty. Metabolomics using ultraperformance liquid chromatography mass spectrometry (UPLC-MS) offers the portent to distinguish disease-specific metabolic signatures. We aimed to define such a urinary metabolic signature in a patient cohort with sporadic CCA and investigate whether there were characteristic differences from those in patients with hepatocellular carcinoma (HCC), metastatic secondary liver cancer, pancreatic cancer and ovarian cancer (OCA). Methods: Spot urine specimens were obtained from 211 subjects in seven participating centers across the UK. Samples were collected from healthy controls and from patients with benign hepatic disease (gallstone, biliary strictures, sphincter of Oddi dysfunction and viral hepatitis) and patients with malignant conditions (HCC, pancreatic cancer, OCA and metastatic cancer in the liver). The spectral metabolite profiles were generated using a UPLC-MS detector and data were analyzed using multivariate and univariate statistical analyses. Results: The greatest class differences were seen between the metabolic profiles of disease-free controls compared to individuals with CCA with altered acylcarnitine, bile acid and purine levels. Individuals with benign strictures showed comparable urine profiles to patients with malignant bile duct lesions. The metabolic signatures of patients with bile duct tumors were distinguishable from patients with hepatocellular and ovarian tumors, but no difference was observed between CCA cases and patients with pancreatic cancer or hepatic secondary metastases. Conclusion: CCA causes subtle but detectable changes in the urine metabolic profiles. The findings point toward potential applications of metabonomics in early tumor detection. However, it is key to utilize both global and targeted metabonomics in a larger cohort for in-depth characterization of the urine metabolome in hepato-pancreato-biliary disease.
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Affiliation(s)
- Munirah Alsaleh
- Division of Surgery and Cancer, Imperial College London, London
| | | | - Helen L Reeves
- Northern Institute for Cancer Research, Medical School, University of Newcastle, Newcastle upon Tyne, UK
| | | | - Stephen Ryder
- Nottingham Digestive Diseases Centre, University of Nottingham, Nottingham, UK.,NIHR Biomedical Research Unit, Nottingham University Hospitals NHS Trust, Queen's Medical Centre, Nottingham, UK
| | - Hani Gabra
- Division of Surgery and Cancer, Imperial College London, London.,Early Clinical Development, IMED Biotech Unit, AstraZeneca, Cambridge, UK
| | - Kathryn Nash
- Liver Unit, Southampton General Hospital, Southampton, Hampshire, UK
| | - Yi-Liang Shen
- Division of Surgery and Cancer, Imperial College London, London.,Department of Radiation Oncology, Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan
| | - Elaine Holmes
- Division of Surgery and Cancer, Imperial College London, London
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27
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Lagies S, Schlimpert M, Braun LM, Kather M, Plagge J, Erbes T, Wittel UA, Kammerer B. Unraveling altered RNA metabolism in pancreatic cancer cells by liquid-chromatography coupling to ion mobility mass spectrometry. Anal Bioanal Chem 2019; 411:6319-6328. [PMID: 31037374 DOI: 10.1007/s00216-019-01814-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 02/27/2019] [Accepted: 03/27/2019] [Indexed: 12/12/2022]
Abstract
Ion mobility coupling to mass spectrometry facilitates enhanced identification certitude. Further coupling to liquid chromatography results in multi-dimensional analytical methods, especially suitable for complex matrices with structurally similar compounds. Modified nucleosides represent a large group of very similar members linked to aberrant proliferation. Besides basal production under physiological conditions, they are increasingly excreted by transformed cells and subsequently discussed as putative biomarkers for various cancer types. Here, we report a method for modified nucleosides covering 37 species. We determined collisional cross-sections with high reproducibility from pure analytical standards. For sample purification, we applied an optimized phenylboronic acid solid-phase extraction on media obtained from four different pancreatic cancer cell lines. Our analysis could discriminate different subtypes of pancreatic cancer cell lines. Importantly, they could clearly be separated from a pancreatic control cell line as well as blank medium. m1A, m27G, and Asm were the most important features discriminating cancer cell lines derived from well-differentiated and poorly differentiated cancers. Eventually, we suggest the analytical method reported here for future tumor-marker identification studies. Graphical abstract.
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Affiliation(s)
- Simon Lagies
- Center for Biological Systems Analysis ZBSA, Albert-Ludwigs-University Freiburg, Habsburgerstr. 49, 79104, Freiburg, Germany.,Institute of Biology II, Albert-Ludwigs-University Freiburg, Schänzlestr. 1, 79104, Freiburg, Germany.,Spemann Graduate School of Biology and Medicine, Albert-Ludwigs-University Freiburg, Albertstr. 19A, 79104, Freiburg, Germany
| | - Manuel Schlimpert
- Center for Biological Systems Analysis ZBSA, Albert-Ludwigs-University Freiburg, Habsburgerstr. 49, 79104, Freiburg, Germany.,Institute of Biology II, Albert-Ludwigs-University Freiburg, Schänzlestr. 1, 79104, Freiburg, Germany.,Spemann Graduate School of Biology and Medicine, Albert-Ludwigs-University Freiburg, Albertstr. 19A, 79104, Freiburg, Germany
| | - Lukas M Braun
- Center for Biological Systems Analysis ZBSA, Albert-Ludwigs-University Freiburg, Habsburgerstr. 49, 79104, Freiburg, Germany.,Department of General- and Visceral Surgery, University of Freiburg Medical Center, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Michel Kather
- Center for Biological Systems Analysis ZBSA, Albert-Ludwigs-University Freiburg, Habsburgerstr. 49, 79104, Freiburg, Germany.,Faculty of Chemistry and Pharmacy, Albert-Ludwigs-University Freiburg, Hebelstr. 27, 79104, Freiburg, Germany.,Hermann Staudinger Graduate School, University of Freiburg, Hebelstr. 27, 79104, Freiburg, Germany
| | - Johannes Plagge
- Center for Biological Systems Analysis ZBSA, Albert-Ludwigs-University Freiburg, Habsburgerstr. 49, 79104, Freiburg, Germany
| | - Thalia Erbes
- Department of Gynecology and Obstetrics, Faculty of Medicine and Medical Center, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Uwe A Wittel
- Department of General- and Visceral Surgery, University of Freiburg Medical Center, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Bernd Kammerer
- Center for Biological Systems Analysis ZBSA, Albert-Ludwigs-University Freiburg, Habsburgerstr. 49, 79104, Freiburg, Germany. .,BIOSS Centre for Biological Signalling Studies, University of Freiburg, Schänzlestr. 16, 79104, Freiburg, Germany.
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28
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Potential Nutritional and Metabolomic Advantages of High Fat Oral Supplementation in Pancreatectomized Pancreaticobiliary Cancer Patients. Nutrients 2019; 11:nu11040893. [PMID: 31010058 PMCID: PMC6521063 DOI: 10.3390/nu11040893] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Accepted: 04/18/2019] [Indexed: 02/07/2023] Open
Abstract
We examined the effect of high fat oral nutritional supplement (HFS) on the nutritional status, oral intake, and serum metabolites of postoperative pancreaticobiliary cancer patients. Pancreaticobiliary cancer patients were voluntarily recruited. The HFS group received postoperative oral high fat supplementation (80% of total calories from fat; n = 12) until discharge; the control group (non-HFS; n = 9) received none. Dietary intake, anthropometry, blood chemistry, nutritional risk index (NRI), and serum metabolites analyzed by liquid chromatography tandem mass spectrometry were evaluated. Overall, cumulative caloric supply via parental and oral/enteral routes were not different between groups. However, oral fat intake, caloric intake, and NRI scores of the HFS group were higher than those of the non-HFS group with increased oral meal consumption. Oral caloric, fat, and meal intakes correlated with NRI scores. Metabolomics analysis identified 195 serum metabolites pre-discharge. Oral fat intake was correlated with 42 metabolites relevant to the glycerophospholipid pathway. Oral high fat-specific upregulation of sphingomyelin (d18:1/24:1), a previously reported pancreatic cancer-downregulated metabolite, and lysophosphatidylcholine (16:0) were associated with NRI scores. Provision of HFS in postoperative pancreatic cancer patients may facilitate the recovery of postoperative health status by increasing oral meal intake, improving nutritional status, and modulating serum metabolites
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29
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Jiao L, Maity S, Coarfa C, Rajapakshe K, Chen L, Jin F, Putluri V, Tinker LF, Mo Q, Chen F, Sen S, Sangi-Hyghpeykar H, El-Serag HB, Putluri N. A Prospective Targeted Serum Metabolomics Study of Pancreatic Cancer in Postmenopausal Women. Cancer Prev Res (Phila) 2019; 12:237-246. [PMID: 30723176 DOI: 10.1158/1940-6207.capr-18-0201] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 11/12/2018] [Accepted: 01/29/2019] [Indexed: 12/11/2022]
Abstract
To examine the association between metabolic deregulation and pancreatic cancer, we conducted a two-stage case-control targeted metabolomics study using prediagnostic sera collected one year before diagnosis in the Women's Health Initiative study. We used the LC/MS to quantitate 470 metabolites in 30 matched case/control pairs. From 180 detectable metabolites, we selected 14 metabolites to be validated in additional 18 matched case/control pairs. We used the paired t test to compare the concentrations of each metabolite between cases and controls and used the log fold change (FC) to indicate the magnitude of difference. FDR adjusted q-value < 0.25 was indicated statistically significant. Logistic regression model and ROC curve analysis were used to evaluate the clinical utility of the metabolites. Among 30 case/control pairs, 1-methyl-l-tryptophan (L-1MT) was significantly lower in the cases than in the controls (log2 FC = -0.35; q-value = 0.03). The area under the ROC curve was 0.83 in the discrimination analysis based on the levels of L-1MT, acadesine, and aspartic acid. None of the metabolites was validated in additional independent 18 case/control pairs. No significant association was found between the examined metabolites and undiagnosed pancreatic cancer.
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Affiliation(s)
- Li Jiao
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas. .,Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, Texas.,Advanced Technology Core, Baylor College of Medicine, Houston, Texas.,Department of Molecular & Cell Biology, Baylor College of Medicine, Houston, Texas.,Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Suman Maity
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Cristian Coarfa
- Advanced Technology Core, Baylor College of Medicine, Houston, Texas.,Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | | | - Liang Chen
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas.,Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, Texas
| | - Feng Jin
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Vasanta Putluri
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Lesley F Tinker
- Center for Translational Research on Inflammatory Diseases (CTRID), Michael E. DeBakey VA Medical Center, Houston, Texas
| | - Qianxing Mo
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Fengju Chen
- Advanced Technology Core, Baylor College of Medicine, Houston, Texas
| | - Subrata Sen
- Department of Translational Molecular Pathology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas
| | | | - Hashem B El-Serag
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas.,Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey VA Medical Center, Houston, Texas.,Advanced Technology Core, Baylor College of Medicine, Houston, Texas.,Department of Molecular & Cell Biology, Baylor College of Medicine, Houston, Texas
| | - Nagireddy Putluri
- Advanced Technology Core, Baylor College of Medicine, Houston, Texas.,Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas.,Texas Medical Center Digestive Disease Center, Houston, Texas
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30
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High-Throughput Metabolomics Based on Direct Mass Spectrometry Analysis in Biomedical Research. Methods Mol Biol 2019; 1978:27-38. [PMID: 31119655 DOI: 10.1007/978-1-4939-9236-2_3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Metabolomics based on direct mass spectrometry analysis shows a great potential in biomedical research because of its high-throughput screening capability and wide metabolome coverage. This chapter contains detailed protocols to perform comprehensive metabolomic fingerprinting of multiple biological samples (serum, plasma, urine, brain, liver, spleen, thymus) by using complementary analytical platforms. The most important issues to be considered are discussed, including sample treatment, metabolomic analysis, raw data preprocessing, and data analysis.
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31
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Wood PL. Endogenous Anti-Inflammatory Very-Long-Chain Dicarboxylic Acids: Potential Chemopreventive Lipids. Metabolites 2018; 8:E76. [PMID: 30400281 PMCID: PMC6315409 DOI: 10.3390/metabo8040076] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 10/31/2018] [Accepted: 11/01/2018] [Indexed: 02/06/2023] Open
Abstract
In a paradigm shift, cancer research efforts are being dedicated to the discovery of chemopreventive agents. The goal of this approach is to delay or prevent the progression of augmented cell division to established cancer. Research has focused on dietary supplements, drugs, and endogenous lipids that possess anti-inflammatory properties. We undertook a lipidomics analysis of potential endogenous anti-inflammatory/anti-proliferative lipids in human plasma. We performed high-resolution mass spectrometric lipidomics analyses of plasma samples from controls and patients with colorectal, kidney, pancreatic, glioblastoma, and breast cancers. We present evidence that endogenous very-long-chain dicarboxylic acids (VLCDCA) are anti-inflammatory lipids that possess chemopreventative properties. In a family of VLCDCAs, we characterized VLCDCA 28:4, which is decreased in the plasma of patients with colorectal, kidney, and pancreatic cancers. The structure of this biomarker was validated by derivatization strategies, synthesis of the analytical standard, and tandem mass spectrometry. Our data suggest that VLCDCA 28:4 may be a useful blood biomarker for a number of cancers and that resupplying this lipid, via a prodrug for example, may offer a new anti-inflammatory therapeutic strategy for delaying or preventing the progression of cancer and other inflammatory diseases.
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Affiliation(s)
- Paul L Wood
- Metabolomics Unit, College of Veterinary Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy, Harrogate TN 37752, UK.
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32
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Lin J, Wu YJ, Liang X, Ji M, Ying HM, Wang XY, Sun X, Shao CH, Zhan LX, Zhang Y. Network-based integration of mRNA and miRNA profiles reveals new target genes involved in pancreatic cancer. Mol Carcinog 2018; 58:206-218. [PMID: 30294829 DOI: 10.1002/mc.22920] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2018] [Revised: 08/31/2018] [Accepted: 10/03/2018] [Indexed: 12/30/2022]
Abstract
Pancreatic cancer is regarded as the most fatal and aggressive malignancy cancer due to its low 5-year survival rate and poor prognosis. The approaches of early diagnosis and treatment are limited, which makes it urgent to identify the complex mechanism of pancreatic oncogenesis. In this study, we used RNA-seq to investigate the transcriptomic (mRNA and miRNA) profiles of pancreatic cancer in paired tumor and normal pancreatic samples from ten patients. More than 1000 differentially expressed genes were identified, nearly half of which were also found to be differentially expressed in the majority of examined patients. Functional enrichment analysis revealed that these genes were significantly enriched in multicellular organismal and metabolic process, secretion, mineral transport, and intercellular communication. In addition, only 24 differentially expressed miRNAs were found, all of which have been reported to be associated with pancreatic cancer. Furthermore, an integrated miRNA-mRNA interaction network was generated using multiple resources. Based on the calculation of disease correlation scores developed here, several genes present in the largest connected subnetwork, such as albumin, ATPase H+ /K+ exchanging alpha polypeptide and carcinoembryonic antigen-related cell adhesion molecule 1, were considered as novel genes that play important roles in the development of pancreatic cancer. Overall, our data provide new insights into further understanding of key molecular mechanisms underlying pancreatic tumorigenesis.
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Affiliation(s)
- Jie Lin
- Shenzhen Key Laboratory of Marine Bioresources and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong Province, P. R. China.,Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, P. R. China
| | - Yan-Jun Wu
- Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, P. R. China
| | - Xing Liang
- Department of Pancreatic-Biliary Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, P. R. China
| | - Meng Ji
- Department of Pancreatic-Biliary Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, P. R. China
| | - Hui-Min Ying
- Department of Endocrinology, Hangzhou Xixi Hospital, Hangzhou, Zhejiang, P. R. China
| | - Xin-Yu Wang
- Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, P. R. China
| | - Xia Sun
- Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, P. R. China
| | - Cheng-Hao Shao
- Department of Pancreatic-Biliary Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, P. R. China
| | - Li-Xing Zhan
- Key Laboratory of Nutrition, Metabolism, and Food Safety, Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, P. R. China
| | - Yan Zhang
- Shenzhen Key Laboratory of Marine Bioresources and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong Province, P. R. China
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Long NP, Yoon SJ, Anh NH, Nghi TD, Lim DK, Hong YJ, Hong SS, Kwon SW. A systematic review on metabolomics-based diagnostic biomarker discovery and validation in pancreatic cancer. Metabolomics 2018; 14:109. [PMID: 30830397 DOI: 10.1007/s11306-018-1404-2] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 07/31/2018] [Indexed: 12/26/2022]
Abstract
INTRODUCTION Metabolomics is an emerging approach for early detection of cancer. Along with the development of metabolomics, high-throughput technologies and statistical learning, the integration of multiple biomarkers has significantly improved clinical diagnosis and management for patients. OBJECTIVES In this study, we conducted a systematic review to examine recent advancements in the oncometabolomics-based diagnostic biomarker discovery and validation in pancreatic cancer. METHODS PubMed, Scopus, and Web of Science were searched for relevant studies published before September 2017. We examined the study designs, the metabolomics approaches, and the reporting methodological quality following PRISMA statement. RESULTS AND CONCLUSION: The included 25 studies primarily focused on the identification rather than the validation of predictive capacity of potential biomarkers. The sample size ranged from 10 to 8760. External validation of the biomarker panels was observed in nine studies. The diagnostic area under the curve ranged from 0.68 to 1.00 (sensitivity: 0.43-1.00, specificity: 0.73-1.00). The effects of patients' bio-parameters on metabolome alterations in a context-dependent manner have not been thoroughly elucidated. The most reported candidates were glutamic acid and histidine in seven studies, and glutamine and isoleucine in five studies, leading to the predominant enrichment of amino acid-related pathways. Notably, 46 metabolites were estimated in at least two studies. Specific challenges and potential pitfalls to provide better insights into future research directions were thoroughly discussed. Our investigation suggests that metabolomics is a robust approach that will improve the diagnostic assessment of pancreatic cancer. Further studies are warranted to validate their validity in multi-clinical settings.
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Affiliation(s)
- Nguyen Phuoc Long
- Research Institute of Pharmaceutical Sciences and College of Pharmacy, Seoul National University, Seoul, 08826, South Korea
| | - Sang Jun Yoon
- Research Institute of Pharmaceutical Sciences and College of Pharmacy, Seoul National University, Seoul, 08826, South Korea
| | - Nguyen Hoang Anh
- Research Institute of Pharmaceutical Sciences and College of Pharmacy, Seoul National University, Seoul, 08826, South Korea
| | - Tran Diem Nghi
- School of Medicine, Vietnam National University, Ho Chi Minh City, 700000, Vietnam
| | - Dong Kyu Lim
- Research Institute of Pharmaceutical Sciences and College of Pharmacy, Seoul National University, Seoul, 08826, South Korea
| | - Yu Jin Hong
- Research Institute of Pharmaceutical Sciences and College of Pharmacy, Seoul National University, Seoul, 08826, South Korea
| | - Soon-Sun Hong
- Department of Drug Development, College of Medicine, Inha University, Incheon, 22212, South Korea
| | - Sung Won Kwon
- Research Institute of Pharmaceutical Sciences and College of Pharmacy, Seoul National University, Seoul, 08826, South Korea.
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Peroxisomes and cancer: The role of a metabolic specialist in a disease of aberrant metabolism. Biochim Biophys Acta Rev Cancer 2018; 1870:103-121. [PMID: 30012421 DOI: 10.1016/j.bbcan.2018.07.004] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 05/30/2018] [Accepted: 07/10/2018] [Indexed: 01/02/2023]
Abstract
Cancer is irrevocably linked to aberrant metabolic processes. While once considered a vestigial organelle, we now know that peroxisomes play a central role in the metabolism of reactive oxygen species, bile acids, ether phospholipids (e.g. plasmalogens), very-long chain, and branched-chain fatty acids. Immune system evasion is a hallmark of cancer, and peroxisomes have an emerging role in the regulation of cellular immune responses. Investigations of individual peroxisome proteins and metabolites support their pro-tumorigenic functions. However, a significant knowledge gap remains regarding how individual functions of proteins and metabolites of the peroxisome orchestrate its potential role as a pro-tumorigenic organelle. This review highlights new advances in our understanding of biogenesis, enzymatic functions, and autophagic degradation of peroxisomes (pexophagy), and provides evidence linking these activities to tumorigenesis. Finally, we propose avenues that may be exploited to target peroxisome-related processes as a mode of combatting cancer.
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35
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López-López Á, López-Gonzálvez Á, Barker-Tejeda TC, Barbas C. A review of validated biomarkers obtained through metabolomics. Expert Rev Mol Diagn 2018; 18:557-575. [PMID: 29808702 DOI: 10.1080/14737159.2018.1481391] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Studying changes in the whole set of small molecules, final products of biochemical reactions in living systems or metabolites, is extremely appealing because they represent the best approach to identifying what occurs in an organism when samples are collected. However, their usefulness as potential biomarkers is limited by discoveries obtained in small groups without proper validation or even confirmation of the chemical structure. Areas covered: During the past 5 years, more than 900 papers have been published on metabolomics for biomarker discovery, but the numbers are much lower when some criteria of validation are applied. In total, 102 papers have been included in this review. The most frequent disease areas in which these markers have been discovered include the following: cancer, diabetes, and related diseases and neurodegenerative, cardiovascular, autoimmune, liver, and kidney diseases. Expert commentary: Metabolomics has been demonstrated as rapidly growing due to the improvements in instrumentation, mainly mass spectrometry, and data mining software. For application in the clinic, the results should be validated in different stages, from analytical validation to validation in independent sets of samples, using thousands of samples from different sources.
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Affiliation(s)
- Ángeles López-López
- a Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
| | - Ángeles López-Gonzálvez
- a Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
| | - Tomás Clive Barker-Tejeda
- a Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
| | - Coral Barbas
- a Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
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36
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Messias MCF, Mecatti GC, Priolli DG, de Oliveira Carvalho P. Plasmalogen lipids: functional mechanism and their involvement in gastrointestinal cancer. Lipids Health Dis 2018. [PMID: 29514688 PMCID: PMC5842581 DOI: 10.1186/s12944-018-0685-9] [Citation(s) in RCA: 111] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
The plasmalogens are a class of glycerophospholipids which contain a vinyl-ether and an ester bond at the sn-1 and sn-2 positions, respectively, in the glycerol backbone. They constitute 10 mol% of the total mass of phospholipids in humans, mainly as membrane structure components. Plasmalogens are important for the organization and stability of lipid raft microdomains and cholesterol-rich membrane regions involved in cellular signaling. In addition to their structural roles, a subset of ether lipids are thought to function as endogenous antioxidants and emerging studies suggest that they are involved in cell differentiation and signaling pathways. Although the clinical significance of plasmalogens is linked to peroxisomal disorders, the pathophysiological roles and their possible metabolic pathways are not fully understood since they present unique structural attributes for the different tissue types. Studies suggest that changes in plasmalogen metabolism may contribute to the development of various types of cancer. Here, we review the molecular characteristics of plasmalogens in order to significantly increase our understanding of the plasmalogen molecule and its involvement in gastrointestinal cancers as well as other types of cancers.
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Affiliation(s)
- Márcia Cristina Fernandes Messias
- Laboratory of Multidisciplinary Research, São Francisco University, USF, São Francisco de Assis Avenue, 218, Bragança Paulista, SP, 12916-900, Brazil.
| | - Giovana Colozza Mecatti
- Laboratory of Multidisciplinary Research, São Francisco University, USF, São Francisco de Assis Avenue, 218, Bragança Paulista, SP, 12916-900, Brazil
| | - Denise Gonçalves Priolli
- Laboratory of Multidisciplinary Research, São Francisco University, USF, São Francisco de Assis Avenue, 218, Bragança Paulista, SP, 12916-900, Brazil
| | - Patrícia de Oliveira Carvalho
- Laboratory of Multidisciplinary Research, São Francisco University, USF, São Francisco de Assis Avenue, 218, Bragança Paulista, SP, 12916-900, Brazil.
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37
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Zhang X, Shi S, Zhang B, Ni Q, Yu X, Xu J. Circulating biomarkers for early diagnosis of pancreatic cancer: facts and hopes. Am J Cancer Res 2018; 8:332-353. [PMID: 29636993 PMCID: PMC5883088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Accepted: 02/25/2018] [Indexed: 06/08/2023] Open
Abstract
Pancreatic cancer (PC) is characterized by extremely high mortality and poor prognosis, which are largely ascribed to difficulties in early diagnosis and limited therapeutics. Although there is a sufficient window for intervention before preneoplastic lesions progress to invasive disease, effective early detection of PC remains difficult using current biomarkers and imaging techniques. Biomarkers with satisfactory diagnostic efficacy and convenient analysis methods are urgently required. In this review, we summarized recent advances in the identification of biomarkers in circulation for early detection of PC. A number of novel circulating biomarkers, such as metabolites, cell-free DNA (cfDNA), noncoding RNA, and exosomes, that show promising diagnostic value have been discovered using advances in sequencing techniques and "omics" analyses. Panels comprising several biomarkers may also exhibit better diagnostic performance. In the future, we need more efficient circulating biomarkers for the identification of noninvasive precursor lesions and early disease. Collaborative large-scale studies are also required to show the clinical validity and applicability of potential biomarkers.
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Affiliation(s)
- Xu Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer CenterShanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan UniversityShanghai 200032, China
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer CenterShanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan UniversityShanghai 200032, China
- Pancreatic Cancer Institute, Fudan UniversityShanghai 200032, China
- Shanghai Pancreatic Cancer InstituteShanghai, China
| | - Bo Zhang
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer CenterShanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan UniversityShanghai 200032, China
- Pancreatic Cancer Institute, Fudan UniversityShanghai 200032, China
- Shanghai Pancreatic Cancer InstituteShanghai, China
| | - Quanxing Ni
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer CenterShanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan UniversityShanghai 200032, China
- Pancreatic Cancer Institute, Fudan UniversityShanghai 200032, China
- Shanghai Pancreatic Cancer InstituteShanghai, China
| | - Xianjun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer CenterShanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan UniversityShanghai 200032, China
- Pancreatic Cancer Institute, Fudan UniversityShanghai 200032, China
- Shanghai Pancreatic Cancer InstituteShanghai, China
| | - Jin Xu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer CenterShanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan UniversityShanghai 200032, China
- Pancreatic Cancer Institute, Fudan UniversityShanghai 200032, China
- Shanghai Pancreatic Cancer InstituteShanghai, China
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Mayerle J, Kalthoff H, Reszka R, Kamlage B, Peter E, Schniewind B, González Maldonado S, Pilarsky C, Heidecke CD, Schatz P, Distler M, Scheiber JA, Mahajan UM, Weiss FU, Grützmann R, Lerch MM. Metabolic biomarker signature to differentiate pancreatic ductal adenocarcinoma from chronic pancreatitis. Gut 2018; 67:128-137. [PMID: 28108468 PMCID: PMC5754849 DOI: 10.1136/gutjnl-2016-312432] [Citation(s) in RCA: 169] [Impact Index Per Article: 28.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 12/22/2016] [Accepted: 12/26/2016] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Current non-invasive diagnostic tests can distinguish between pancreatic cancer (pancreatic ductal adenocarcinoma (PDAC)) and chronic pancreatitis (CP) in only about two thirds of patients. We have searched for blood-derived metabolite biomarkers for this diagnostic purpose. DESIGN For a case-control study in three tertiary referral centres, 914 subjects were prospectively recruited with PDAC (n=271), CP (n=282), liver cirrhosis (n=100) or healthy as well as non-pancreatic disease controls (n=261) in three consecutive studies. Metabolomic profiles of plasma and serum samples were generated from 477 metabolites identified by gas chromatography-mass spectrometry and liquid chromatography-tandem mass spectrometry. RESULTS A biomarker signature (nine metabolites and additionally CA19-9) was identified for the differential diagnosis between PDAC and CP. The biomarker signature distinguished PDAC from CP in the training set with an area under the curve (AUC) of 0.96 (95% CI 0.93-0.98). The biomarker signature cut-off of 0.384 at 85% fixed specificity showed a sensitivity of 94.9% (95% CI 87.0%-97.0%). In the test set, an AUC of 0.94 (95% CI 0.91-0.97) and, using the same cut-off, a sensitivity of 89.9% (95% CI 81.0%-95.5%) and a specificity of 91.3% (95% CI 82.8%-96.4%) were achieved, successfully validating the biomarker signature. CONCLUSIONS In patients with CP with an increased risk for pancreatic cancer (cumulative incidence 1.95%), the performance of this biomarker signature results in a negative predictive value of 99.9% (95% CI 99.7%-99.9%) (training set) and 99.8% (95% CI 99.6%-99.9%) (test set). In one third of our patients, the clinical use of this biomarker signature would have improved diagnosis and treatment stratification in comparison to CA19-9.
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Affiliation(s)
- Julia Mayerle
- Department of Medicine A, University Medicine, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany,Medizinische Klinik und Poliklinik II, Klinikum der LMU München-Grosshadern, München, Germany
| | - Holger Kalthoff
- Section for Molecular Oncology, Institut for Experimental Cancer Research (IET), UKSH, Kiel, Germany
| | | | | | | | - Bodo Schniewind
- Section for Molecular Oncology, Institut for Experimental Cancer Research (IET), UKSH, Kiel, Germany
| | | | | | - Claus-Dieter Heidecke
- Department of General, Visceral, Thoracic and Vascular Surgery University Medicine Greifswald, Ernst-Moritz-Arndt University, Greifswald, Germany
| | | | - Marius Distler
- Clinic and Outpatient Clinic for Visceral-, Thorax- and Vascular Surgery, Medizinische Fakultät, TU Dresden, Dresden, Germany
| | - Jonas A Scheiber
- Department of Medicine A, University Medicine, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Ujjwal M Mahajan
- Department of Medicine A, University Medicine, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany,Medizinische Klinik und Poliklinik II, Klinikum der LMU München-Grosshadern, München, Germany
| | - F Ulrich Weiss
- Department of Medicine A, University Medicine, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | | | - Markus M Lerch
- Department of Medicine A, University Medicine, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
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Mehta KY, Wu HJ, Menon SS, Fallah Y, Zhong X, Rizk N, Unger K, Mapstone M, Fiandaca MS, Federoff HJ, Cheema AK. Metabolomic biomarkers of pancreatic cancer: a meta-analysis study. Oncotarget 2017; 8:68899-68915. [PMID: 28978166 PMCID: PMC5620306 DOI: 10.18632/oncotarget.20324] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Accepted: 08/04/2017] [Indexed: 02/07/2023] Open
Abstract
Pancreatic cancer (PC) is an aggressive disease with high mortality rates, however, there is no blood test for early detection and diagnosis of this disease. Several research groups have reported on metabolomics based clinical investigations to identify biomarkers of PC, however there is a lack of a centralized metabolite biomarker repository that can be used for meta-analysis and biomarker validation. Furthermore, since the incidence of PC is associated with metabolic syndrome and Type 2 diabetes mellitus (T2DM), there is a need to uncouple these common metabolic dysregulations that may otherwise diminish the clinical utility of metabolomic biosignatures. Here, we attempted to externally replicate proposed metabolite biomarkers of PC reported by several other groups in an independent group of PC subjects. Our study design included a T2DM cohort that was used as a non-cancer control and a separate cohort diagnosed with colorectal cancer (CRC), as a cancer disease control to eliminate possible generic biomarkers of cancer. We used targeted mass spectrometry for quantitation of literature-curated metabolite markers and identified a biomarker panel that discriminates between normal controls (NC) and PC patients with high accuracy. Further evaluation of our model with CRC, however, showed a drop in specificity for the PC biomarker panel. Taken together, our study underscores the need for a more robust study design for cancer biomarker studies so as to maximize the translational value and clinical implementation.
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Affiliation(s)
- Khyati Y Mehta
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America
| | - Hung-Jen Wu
- Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, United States of America
| | - Smrithi S Menon
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America
| | - Yassi Fallah
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America
| | - Xiaogang Zhong
- Department of Biostatistics Bioinformatics and Biomathematics, Georgetown University, Washington, DC, United States of America
| | - Nasser Rizk
- Department of Health Sciences, Qatar University, Doha, Qatar
| | - Keith Unger
- Lombardi Comprehensive Cancer Center, Med-Star Georgetown University Hospital, Washington, DC, United States of America
| | - Mark Mapstone
- Department of Neurology, University of California, Irvine, CA, United States of America
| | - Massimo S Fiandaca
- Department of Neurology, University of California, Irvine, CA, United States of America.,Department of Neurological Surgery, University of California, Irvine, CA, United States of America
| | - Howard J Federoff
- Department of Neurology, University of California, Irvine, CA, United States of America
| | - Amrita K Cheema
- Department of Oncology, Georgetown University Medical Center, Washington, DC, United States of America.,Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, United States of America
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40
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Serum Metabolomic Profiles for Human Pancreatic Cancer Discrimination. Int J Mol Sci 2017; 18:ijms18040767. [PMID: 28375170 PMCID: PMC5412351 DOI: 10.3390/ijms18040767] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2017] [Revised: 03/22/2017] [Accepted: 03/27/2017] [Indexed: 12/15/2022] Open
Abstract
This study evaluated the clinical use of serum metabolomics to discriminate malignant cancers including pancreatic cancer (PC) from malignant diseases, such as biliary tract cancer (BTC), intraductal papillary mucinous carcinoma (IPMC), and various benign pancreaticobiliary diseases. Capillary electrophoresis−mass spectrometry was used to analyze charged metabolites. We repeatedly analyzed serum samples (n = 41) of different storage durations to identify metabolites showing high quantitative reproducibility, and subsequently analyzed all samples (n = 140). Overall, 189 metabolites were quantified and 66 metabolites had a 20% coefficient of variation and, of these, 24 metabolites showed significant differences among control, benign, and malignant groups (p < 0.05; Steel–Dwass test). Four multiple logistic regression models (MLR) were developed and one MLR model clearly discriminated all disease patients from healthy controls with an area under receiver operating characteristic curve (AUC) of 0.970 (95% confidential interval (CI), 0.946–0.994, p < 0.0001). Another model to discriminate PC from BTC and IPMC yielded AUC = 0.831 (95% CI, 0.650–1.01, p = 0.0020) with higher accuracy compared with tumor markers including carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), pancreatic cancer-associated antigen (DUPAN2) and s-pancreas-1 antigen (SPAN1). Changes in metabolomic profiles might be used to screen for malignant cancers as well as to differentiate between PC and other malignant diseases.
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41
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Capello M, Bantis LE, Scelo G, Zhao Y, Li P, Dhillon DS, Patel NJ, Kundnani DL, Wang H, Abbruzzese JL, Maitra A, Tempero MA, Brand R, Firpo MA, Mulvihill SJ, Katz MH, Brennan P, Feng Z, Taguchi A, Hanash SM. Sequential Validation of Blood-Based Protein Biomarker Candidates for Early-Stage Pancreatic Cancer. J Natl Cancer Inst 2017; 109:2952681. [PMID: 28376157 PMCID: PMC5441297 DOI: 10.1093/jnci/djw266] [Citation(s) in RCA: 90] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Revised: 08/17/2016] [Accepted: 10/06/2016] [Indexed: 02/06/2023] Open
Abstract
Background CA19-9, which is currently in clinical use as a pancreatic ductal adenocarcinoma (PDAC) biomarker, has limited performance in detecting early-stage disease. We and others have identified protein biomarker candidates that have the potential to complement CA19-9. We have carried out sequential validations starting with 17 protein biomarker candidates to determine which markers and marker combination would improve detection of early-stage disease compared with CA19-9 alone. Methods Candidate biomarkers were subjected to enzyme-linked immunosorbent assay based sequential validation using independent multiple sample cohorts consisting of PDAC cases (n = 187), benign pancreatic disease (n = 93), and healthy controls (n = 169). A biomarker panel for early-stage PDAC was developed based on a logistic regression model. All statistical tests for the results presented below were one-sided. Results Six out of the 17 biomarker candidates and CA19-9 were validated in a sample set consisting of 75 PDAC patients, 27 healthy subjects, and 19 chronic pancreatitis patients. A second independent set of 73 early-stage PDAC patients, 60 healthy subjects, and 74 benign pancreatic disease patients (combined validation set) yielded a model that consisted of TIMP1, LRG1, and CA19-9. Additional blinded testing of the model was done using an independent set of plasma samples from 39 resectable PDAC patients and 82 matched healthy subjects (test set). The model yielded areas under the curve (AUCs) of 0.949 (95% confidence interval [CI] = 0.917 to 0.981) and 0.887 (95% CI = 0.817 to 0.957) with sensitivities of 0.849 and 0.667 at 95% specificity in discriminating early-stage PDAC vs healthy subjects in the combined validation and test sets, respectively. The performance of the biomarker panel was statistically significantly improved compared with CA19-9 alone (P < .001, combined validation set; P = .008, test set). Conclusion The addition of TIMP1 and LRG1 immunoassays to CA19-9 statistically significantly improves the detection of early-stage PDAC.
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Affiliation(s)
- Michela Capello
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Leonidas E. Bantis
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Ghislaine Scelo
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Yang Zhao
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Peng Li
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Dilsher S. Dhillon
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Nikul J. Patel
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Deepali L. Kundnani
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Hong Wang
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - James L. Abbruzzese
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Anirban Maitra
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Margaret A. Tempero
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Randall Brand
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Matthew A. Firpo
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Sean J. Mulvihill
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Matthew H. Katz
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Paul Brennan
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Ziding Feng
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Ayumu Taguchi
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
| | - Samir M. Hanash
- Affiliations of authors: Departments of Clinical Cancer Prevention (MC, DSD, NJP, DLK, HW, SMH), Biostatistics (LEB, YZ, ZF), Pathology (AM), Surgical Oncology (MHK), and Translational Molecular Pathology (AT), The University of Texas MD Anderson Cancer Center, Houston, TX; International Agency for Research on Cancer (IARC), Lyon, France (GS, PL, PB); Division of Medical Oncology, Duke University, Durham, NC (JLA); Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA (MAT); Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA (RB); Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT (MAF, SJM)
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Battini S, Faitot F, Imperiale A, Cicek AE, Heimburger C, Averous G, Bachellier P, Namer IJ. Metabolomics approaches in pancreatic adenocarcinoma: tumor metabolism profiling predicts clinical outcome of patients. BMC Med 2017; 15:56. [PMID: 28298227 PMCID: PMC5353864 DOI: 10.1186/s12916-017-0810-z] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Accepted: 02/07/2017] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Pancreatic adenocarcinomas (PAs) have very poor prognoses even when surgery is possible. Currently, there are no tissular biomarkers to predict long-term survival in patients with PA. The aims of this study were to (1) describe the metabolome of pancreatic parenchyma (PP) and PA, (2) determine the impact of neoadjuvant chemotherapy on PP and PA, and (3) find tissue metabolic biomarkers associated with long-term survivors, using metabolomics analysis. METHODS 1H high-resolution magic angle spinning (HRMAS) nuclear magnetic resonance (NMR) spectroscopy using intact tissues was applied to analyze metabolites in PP tissue samples (n = 17) and intact tumor samples (n = 106), obtained from 106 patients undergoing surgical resection for PA. RESULTS An orthogonal partial least square-discriminant analysis (OPLS-DA) showed a clear distinction between PP and PA. Higher concentrations of myo-inositol and glycerol were shown in PP, whereas higher levels of glucose, ascorbate, ethanolamine, lactate, and taurine were revealed in PA. Among those metabolites, one of them was particularly obvious in the distinction between long-term and short-term survivors. A high ethanolamine level was associated with worse survival. The impact of neoadjuvant chemotherapy was higher on PA than on PP. CONCLUSIONS This study shows that HRMAS NMR spectroscopy using intact tissue provides important and solid information in the characterization of PA. Metabolomics profiling can also predict long-term survival: the assessment of ethanolamine concentration can be clinically relevant as a single metabolic biomarker. This information can be obtained in 20 min, during surgery, to distinguish long-term from short-term survival.
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Affiliation(s)
- S Battini
- ICube, UMR 7357 University of Strasbourg/CNRS, Strasbourg, France
| | - F Faitot
- ICube, UMR 7357 University of Strasbourg/CNRS, Strasbourg, France
- Department of Visceral Surgery and Transplantation, Hautepierre Hospital, University Hospitals of Strasbourg, Strasbourg, France
- FMTS, Faculty of Medicine, Strasbourg, France
| | - A Imperiale
- ICube, UMR 7357 University of Strasbourg/CNRS, Strasbourg, France
- FMTS, Faculty of Medicine, Strasbourg, France
- Department of Biophysics and Nuclear Medicine, Hautepierre Hospital, University Hospitals of Strasbourg, 1, Avenue Molière, Strasbourg, Cedex, 67098, France
| | - A E Cicek
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA
- Computer Engineering Department, Bilkent University, Ankara, Turkey
| | - C Heimburger
- ICube, UMR 7357 University of Strasbourg/CNRS, Strasbourg, France
- FMTS, Faculty of Medicine, Strasbourg, France
- Department of Biophysics and Nuclear Medicine, Hautepierre Hospital, University Hospitals of Strasbourg, 1, Avenue Molière, Strasbourg, Cedex, 67098, France
| | - G Averous
- Department of Pathology, Hautepierre Hospital, University Hospitals of Strasbourg, Strasbourg, France
| | - P Bachellier
- Department of Visceral Surgery and Transplantation, Hautepierre Hospital, University Hospitals of Strasbourg, Strasbourg, France
| | - I J Namer
- ICube, UMR 7357 University of Strasbourg/CNRS, Strasbourg, France.
- FMTS, Faculty of Medicine, Strasbourg, France.
- Department of Biophysics and Nuclear Medicine, Hautepierre Hospital, University Hospitals of Strasbourg, 1, Avenue Molière, Strasbourg, Cedex, 67098, France.
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Attri KS, Murthy D, Singh PK. Racial disparity in metabolic regulation of cancer. Front Biosci (Landmark Ed) 2017; 22:1221-1246. [PMID: 28199202 DOI: 10.2741/4543] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Genetic mutations and metabolic reprogramming are two key hallmarks of cancer, required for proliferation, invasion, and metastasis of the disease. While genetic mutations, whether inherited or acquired, are critical for the initiation of tumor development, metabolic reprogramming is an effector mechanism imperative for adaptational transition during the progression of cancer. Recent findings in the literature emphasize the significance of molecular cross-talk between these two cellular processes in regulating signaling and differentiation of cancer cells. Genome-wide sequencing analyses of cancer genomes have highlighted the association of various genic mutations in predicting cancer risk and survival. Oncogenic mutational frequency is heterogeneously distributed among various cancer types in different populations, resulting in varying susceptibility to cancer risk. In this review, we explore and discuss the role of genetic mutations in metabolic enzymes and metabolic oncoregulators to stratify cancer risk in persons of different racial backgrounds.
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Affiliation(s)
- Kuldeep S Attri
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, Nebraska, 68198, USA
| | - Divya Murthy
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, Nebraska, 68198, USA
| | - Pankaj K Singh
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, Nebraska, 68198, USA,
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Abstract
Metabolomics based on direct mass spectrometry (MS) analysis, either by direct infusion or flow injection of crude sample extracts, shows a great potential for metabolic fingerprinting because of its high-throughput screening capability, wide metabolite coverage and reduced time of analysis. Considering that numerous metabolic pathways are significantly perturbed during the initiation and progression of diseases, these metabolomic tools can be used to get a deeper understanding about disease pathogenesis and discover potential biomarkers for early diagnosis. In this work, we describe the most common metabolomic platforms used in biomedical research, with special focus on strategies based on direct MS analysis. Then, a comprehensive review on the application of direct MS fingerprinting in clinical issues is provided.
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Lindahl A, Heuchel R, Forshed J, Lehtiö J, Löhr M, Nordström A. Discrimination of pancreatic cancer and pancreatitis by LC-MS metabolomics. Metabolomics 2017; 13:61. [PMID: 28413374 PMCID: PMC5376388 DOI: 10.1007/s11306-017-1199-6] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Accepted: 03/20/2017] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Pancreatic ductal adenocarcinoma (PDAC) is the fifth most common cause of cancer-related death in Europe with a 5-year survival rate of <5%. Chronic pancreatitis (CP) is a risk factor for PDAC development, but in the majority of cases malignancy is discovered too late for curative treatment. There is at present no reliable diagnostic marker for PDAC available. OBJECTIVES The aim of the study was to identify single blood-based metabolites or a panel of metabolites discriminating PDAC and CP using liquid chromatography-mass spectrometry (LC-MS). METHODS A discovery cohort comprising PDAC (n = 44) and CP (n = 23) samples was analyzed by LC-MS followed by univariate (Student's t test) and multivariate (orthogonal partial least squares-discriminant analysis (OPLS-DA)) statistics. Discriminative metabolite features were subject to raw data examination and identification to ensure high feature quality. Their discriminatory power was then confirmed in an independent validation cohort including PDAC (n = 20) and CP (n = 31) samples. RESULTS Glycocholic acid, N-palmitoyl glutamic acid and hexanoylcarnitine were identified as single markers discriminating PDAC and CP by univariate analysis. OPLS-DA resulted in a panel of five metabolites including the aforementioned three metabolites as well as phenylacetylglutamine (PAGN) and chenodeoxyglycocholate. CONCLUSION Using LC-MS-based metabolomics we identified three single metabolites and a five-metabolite panel discriminating PDAC and CP in two independent cohorts. Although further study is needed in larger cohorts, the metabolites identified are potentially of use in PDAC diagnostics.
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Affiliation(s)
- Anna Lindahl
- Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Rainer Heuchel
- Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
| | - Jenny Forshed
- Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Janne Lehtiö
- Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Matthias Löhr
- Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
| | - Anders Nordström
- Department of Molecular Biology, Umeå University, 90187 Umeå, Sweden
- Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
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Di Gangi IM, Mazza T, Fontana A, Copetti M, Fusilli C, Ippolito A, Mattivi F, Latiano A, Andriulli A, Vrhovsek U, Pazienza V. Metabolomic profile in pancreatic cancer patients: a consensus-based approach to identify highly discriminating metabolites. Oncotarget 2016; 7:5815-29. [PMID: 26735340 PMCID: PMC4868723 DOI: 10.18632/oncotarget.6808] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Accepted: 12/26/2015] [Indexed: 12/21/2022] Open
Abstract
Purpose pancreatic adenocarcinoma is the fourth leading cause of cancer related deaths due to its aggressive behavior and poor clinical outcome. There is a considerable variability in the frequency of serum tumor markers in cancer' patients. We performed a metabolomics screening in patients diagnosed with pancreatic cancer. Experimental Design Two targeted metabolomic assays were conducted on 40 serum samples of patients diagnosed with pancreatic cancer and 40 healthy controls. Multivariate methods and classification trees were performed. Materials and Methods Sparse partial least squares discriminant analysis (SPLS-DA) was used to reduce the high dimensionality of a pancreatic cancer metabolomic dataset, differentiating between pancreatic cancer (PC) patients and healthy subjects. Using Random Forest analysis palmitic acid, 1,2-dioleoyl-sn-glycero-3-phospho-rac-glycerol, lanosterol, lignoceric acid, 1-monooleoyl-rac-glycerol, cholesterol 5α,6α epoxide, erucic acid and taurolithocholic acid (T-LCA), oleoyl-L-carnitine, oleanolic acid were identified among 206 metabolites as highly discriminating between disease states. Comparison between Receiver Operating Characteristic (ROC) curves for palmitic acid and CA 19-9 showed that the area under the ROC curve (AUC) of palmitic acid (AUC=1.000; 95% confidence interval) is significantly higher than CA 19-9 (AUC=0.963; 95% confidence interval: 0.896-1.000). Conclusion Mass spectrometry-based metabolomic profiling of sera from pancreatic cancer patients and normal subjects showed significant alterations in the profiles of the metabolome of PC patients as compared to controls. These findings offer an information-rich matrix for discovering novel candidate biomarkers with diagnostic or prognostic potentials.
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Affiliation(s)
- Iole Maria Di Gangi
- Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele all'Adige, TN, Italy
| | - Tommaso Mazza
- Unit of Bioinformatics, I.R.C.C.S. "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, FG, Italy
| | - Andrea Fontana
- Unit of Biostatistics I.R.C.C.S. "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, FG, Italy
| | - Massimiliano Copetti
- Unit of Biostatistics I.R.C.C.S. "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, FG, Italy
| | - Caterina Fusilli
- Unit of Bioinformatics, I.R.C.C.S. "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, FG, Italy
| | - Antonio Ippolito
- Gastroenterology Unit, I.R.C.C.S. "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, FG, Italy
| | - Fulvio Mattivi
- Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele all'Adige, TN, Italy
| | - Anna Latiano
- Gastroenterology Unit, I.R.C.C.S. "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, FG, Italy
| | - Angelo Andriulli
- Gastroenterology Unit, I.R.C.C.S. "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, FG, Italy
| | - Urska Vrhovsek
- Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele all'Adige, TN, Italy
| | - Valerio Pazienza
- Gastroenterology Unit, I.R.C.C.S. "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, FG, Italy
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Nassar AF, Wu T, Nassar SF, Wisnewski AV. UPLC-MS for metabolomics: a giant step forward in support of pharmaceutical research. Drug Discov Today 2016; 22:463-470. [PMID: 27919805 DOI: 10.1016/j.drudis.2016.11.020] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2016] [Revised: 10/23/2016] [Accepted: 11/25/2016] [Indexed: 01/05/2023]
Abstract
Metabolomics is a relatively new and rapidly growing area of post-genomic biological research. As use of metabolomics technology grows throughout the spectrum of drug discovery and development, and its applications broaden, its impact is expanding dramatically. This review seeks to provide the reader with a brief history of the development of metabolomics, its significance and strategies for conducting metabolomics studies. The most widely used analytical tools for metabolomics: NMR, LC-MS and GC-MS, are discussed along with considerations for their use. Herein, we will show how metabolomics can assist in pharmaceutical research studies, such as pharmacology and toxicology, and discuss some examples of the importance of metabolomics analysis in research and development.
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Affiliation(s)
- Ala F Nassar
- School of Medicine, Department of Internal Medicine, Yale University, New Haven, CT, USA; Department of Chemistry, University of Connecticut, 55 North Eagleville Road, Storrs, CT, USA.
| | - Terence Wu
- West Campus Analytical Core, Yale University, West Haven, CT, USA
| | - Samuel F Nassar
- Yale School of Medicine, Departments of Neurology and Immunobiology, New Haven, CT 06511, USA
| | - Adam V Wisnewski
- School of Medicine, Department of Internal Medicine, Yale University, New Haven, CT, USA
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Serum Metabolite Profiling for the Detection of Pancreatic Cancer: Results of a Large Independent Validation Study. Pancreas 2016; 45:1418-1423. [PMID: 27518463 DOI: 10.1097/mpa.0000000000000680] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVES To improve the detection of pancreatic cancer (PC), a robust diagnostic biomarker is essential. We have previously discovered 4 serum metabolites (PC-594, lysophosphatidylcholine, phosphatidylcholine, and sphingomyelin) in distinguishing patients with PC from healthy controls. Here, we report the results of our validation phase by using larger numbers of independent and blinded samples. METHODS We collected 3 mL of serum from 116 patients with PC and 138 healthy controls. Samples were blinded and expression of the 4 candidate metabolites in each sample was determined by triple quadrupole tandem mass spectrometry. We then used cutoffs established in the discovery phase to predict the disease state of each of the validation samples. RESULTS All 4 metabolites showed significantly lower expression in patients with PC compared with healthy controls. PC-594 showed 73.3% sensitivity and 92.0% specificity, whereas the other 3 metabolites showed 58.6% and 92.0%, 76.7% and 69.6%, and 58.6% and 81.9% sensitivity and specificity, respectively. Area under the receiver operating characteristic curve for PC-594 alone was 0.92, whereas a combination method using all 4 metabolites showed 86.2% sensitivity and 84.8% specificity. CONCLUSIONS Our validation results confirmed that a reduction in PC-594, along with 3 other serum-based choline metabolites, is highly associated with PC.
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Ríos Peces S, Díaz Navarro C, Márquez López C, Caba O, Jiménez-Luna C, Melguizo C, Prados JC, Genilloud O, Vicente Pérez F, Pérez Del Palacio J. Untargeted LC-HRMS-Based Metabolomics for Searching New Biomarkers of Pancreatic Ductal Adenocarcinoma: A Pilot Study. SLAS DISCOVERY 2016; 22:348-359. [PMID: 27655283 DOI: 10.1177/1087057116671490] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Pancreatic ductal adenocarcinoma is one of the most lethal tumors since it is usually detected at an advanced stage in which surgery and/or current chemotherapy have limited efficacy. The lack of sensitive and specific markers for diagnosis leads to a dismal prognosis. The purpose of this study is to identify metabolites in serum of pancreatic ductal adenocarcinoma patients that could be used as diagnostic biomarkers of this pathology. We used liquid chromatography-high-resolution mass spectrometry for a nontargeted metabolomics approach with serum samples from 28 individuals, including 16 patients with pancreatic ductal adenocarcinoma and 12 healthy controls. Multivariate statistical analysis, which included principal component analysis and partial least squares, revealed clear separation between the patient and control groups analyzed by liquid chromatography-high-resolution mass spectrometry using a nontargeted metabolomics approach. The metabolic analysis showed significantly lower levels of phospholipids in the serum from patients with pancreatic ductal adenocarcinoma compared with serum from controls. Our results suggest that the liquid chromatography-high-resolution mass spectrometry-based metabolomics approach provides a potent and promising tool for the diagnosis of pancreatic ductal adenocarcinoma patients using the specific metabolites identified as novel biomarkers that could be used for an earlier detection and treatment of these patients.
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Affiliation(s)
- Sandra Ríos Peces
- 1 Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Granada, Spain
| | - Caridad Díaz Navarro
- 1 Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Granada, Spain
| | - Cristina Márquez López
- 2 Fundacion Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
| | - Octavio Caba
- 3 Department of Health Science, University of Jaen, Jaen, Spain.,4 Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, Granada, Spain
| | - Cristina Jiménez-Luna
- 4 Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, Granada, Spain.,5 Department of Anatomy and Embryology, Faculty of Medicine, University of Granada, Granada, Spain
| | - Consolación Melguizo
- 4 Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, Granada, Spain.,6 Biosanitary Institute of Granada (ibs. GRANADA), SAS-Universidad de Granada, Granada, Spain
| | - José Carlos Prados
- 4 Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, Granada, Spain.,6 Biosanitary Institute of Granada (ibs. GRANADA), SAS-Universidad de Granada, Granada, Spain
| | - Olga Genilloud
- 1 Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Granada, Spain
| | - Francisca Vicente Pérez
- 1 Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Granada, Spain
| | - José Pérez Del Palacio
- 1 Fundación MEDINA, Centro de Excelencia en Investigación de Medicamentos Innovadores en Andalucía, Granada, Spain
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Ritchie SA, Jayasinge D, Wang L, Goodenowe DB. Improved specificity of serum phosphatidylcholine detection based on side-chain losses during negative electrospray ionization tandem mass spectrometry. Anal Bioanal Chem 2016; 408:7811-7823. [DOI: 10.1007/s00216-016-9884-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 08/02/2016] [Accepted: 08/15/2016] [Indexed: 12/13/2022]
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