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Batool SM, Hsia T, Beecroft A, Lewis B, Ekanayake E, Rosenfeld Y, Escobedo AK, Gamblin AS, Rawal S, Cote RJ, Watson M, Wong DTW, Patel AA, Skog J, Papadopoulos N, Bettegowda C, Castro CM, Lee H, Srivastava S, Carter BS, Balaj L. Extrinsic and intrinsic preanalytical variables affecting liquid biopsy in cancer. Cell Rep Med 2023; 4:101196. [PMID: 37725979 PMCID: PMC10591035 DOI: 10.1016/j.xcrm.2023.101196] [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: 02/09/2022] [Revised: 12/01/2022] [Accepted: 08/22/2023] [Indexed: 09/21/2023]
Abstract
Liquid biopsy, through isolation and analysis of disease-specific analytes, has evolved as a promising tool for safe and minimally invasive diagnosis and monitoring of tumors. It also has tremendous utility as a companion diagnostic allowing detection of biomarkers in a range of cancers (lung, breast, colon, ovarian, brain). However, clinical implementation and validation remains a challenge. Among other stages of development, preanalytical variables are critical in influencing the downstream cellular and molecular analysis of different analytes. Although considerable progress has been made to address these challenges, a comprehensive assessment of the impact on diagnostic parameters and consensus on standardized and optimized protocols is still lacking. Here, we summarize and critically evaluate key variables in the preanalytical stage, including study population selection, choice of biofluid, sample handling and collection, processing, and storage. There is an unmet need to develop and implement comprehensive preanalytical guidelines on the optimal practices and methodologies.
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Affiliation(s)
| | - Tiffaney Hsia
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alexandra Beecroft
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Brian Lewis
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Emil Ekanayake
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Yulia Rosenfeld
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Ana K Escobedo
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Austin S Gamblin
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Siddarth Rawal
- Washington University School of Medicine, St. Louis, MO, USA; Circulogix Inc., St. Louis, MO, USA
| | - Richard J Cote
- Washington University School of Medicine, St. Louis, MO, USA; Circulogix Inc., St. Louis, MO, USA
| | - Mark Watson
- Washington University School of Medicine, St. Louis, MO, USA
| | - David T W Wong
- University of California Los Angeles, Los Angeles, CA, USA
| | | | - Johan Skog
- Exosome Diagnostics, Waltham, MA 02451, USA
| | | | | | - Cesar M Castro
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hakho Lee
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sudhir Srivastava
- Cancer Biomarkers Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA
| | - Bob S Carter
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Leonora Balaj
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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Li H, Xie X, Liu H, Zhang L, Qiang D, Li L, He YT, Bai G. Analysis of protein expression changes in patients with prediabetes using proteomics approaches. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2023; 37:e9448. [PMID: 36460301 DOI: 10.1002/rcm.9448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 11/11/2022] [Accepted: 11/25/2022] [Indexed: 06/17/2023]
Abstract
RATIONALE Proteomics and metabolomics are widely used in the study of diabetes, but rarely in prediabetes research. This study aimed to explore the mechanisms of early-onset type 2 diabetes mellitus (T2DM) by analyzing proteomic changes at different stages of glucose metabolism. METHODS A total of 40 individuals undergoing routine physical health examinations between December 2016 and April 2017 were enrolled. Subjects were divided into four groups based on fasting blood glucose (FPG) levels: FPG < 5.6 mmol/L (group A); FPG ≥ 5.6 mmol/L and <6.1 mmol/L (group B); FPG ≥ 6.1 mmol/L and <7.0 mmol/L (group C); and FPG ≥ 7.0 mmol/L (group D). Each group had 10 cases. Sera from these 40 subjects were analyzed by label-free quantitative liquid chromatography coupled with tandem mass spectrometry (LC/MS/MS). LC/MS/MS with selected reaction monitoring mode was also performed for qualitative and quantitative metabolomics analysis. Differentially expressed proteins were identified. Partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to analyze the differentially expressed metabolites. RESULTS A total of 202 differentially expressed proteins were screened and were identified as mainly secreted proteins. Comparing group A with group B, 32 proteins were up-regulated and 18 proteins were down-regulated. Comparing group A with group C, 24 proteins were up-regulated and 24 proteins were down-regulated. Comparing group A with group D, 19 proteins were up-regulated and 17 proteins were down-regulated. The fold change for up-regulated proteins was >1.2, p < 0.05, while the fold change for down-regulated proteins was <-1.2, p < 0.05. PLS-DA and OPLS-DA revealed 113 differentially expressed metabolites. Correlation analysis of differentially expressed metabolites of group A versus group B revealed that among the down-regulated differential proteins, transforming growth factor β-induced protein ig-h3 correlated negatively with metabolite L-saccharin, while among the up-regulated differential proteins, apolipoprotein C-IV correlated negatively with metabolite 3-methyloxindole. Among all differentially expressed proteins, 19 proteins were associated with early initiation of chronic inflammation, including CD14 and CSF-1R, which were newly identified in the early onset of T2DM. CONCLUSIONS Many proteins are differentially expressed between prediabetes and after T2DM diagnosis, although the specific mechanism remains unclear. The expression level of CD14 was significantly up-regulated and that of CSF-1R was significantly down-regulated when FPG was ≥5.6 mmol/L, suggesting that CD14 and CSF-1R may be important markers for early-onset T2DM and may serve as new targets for T2DM treatment.
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Affiliation(s)
- Huan Li
- Department of Endocrinology, First People's Hospital of Yinchuan, Yinchuan, China
| | - Xiaomin Xie
- Department of Endocrinology, First People's Hospital of Yinchuan, Yinchuan, China
| | - Huili Liu
- Department of Endocrinology, First People's Hospital of Yinchuan, Yinchuan, China
| | - Li Zhang
- Department of Endocrinology, First People's Hospital of Yinchuan, Yinchuan, China
| | - Dan Qiang
- Department of Endocrinology, First People's Hospital of Yinchuan, Yinchuan, China
| | - Ling Li
- Department of Endocrinology, First People's Hospital of Yinchuan, Yinchuan, China
| | - Yan Ting He
- Department of Endocrinology, First People's Hospital of Yinchuan, Yinchuan, China
| | - Guirong Bai
- Department of Endocrinology, First People's Hospital of Yinchuan, Yinchuan, China
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El Rassi Z, Puangpila C. Liquid-phase based separation systems for depletion, prefractionation, and enrichment of proteins in biological fluids and matrices for in-depth proteomics analysis-An update covering the period 2014-2016. Electrophoresis 2016; 38:150-161. [DOI: 10.1002/elps.201600413] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 10/03/2016] [Accepted: 10/04/2016] [Indexed: 12/14/2022]
Affiliation(s)
- Ziad El Rassi
- Department of Chemistry; Oklahoma State University; Stillwater OK USA
| | - Chanida Puangpila
- Department of Chemistry, Faculty of Science; Chiang Mai University; Chiang Mai Thailand
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