Downloads provided by UsageCounts
pmid: 34897580
pmc: PMC8666175
Abstract Precision medicine promises to overcome the constraints of the traditional “one-for-all” healthcare approach through a clear understanding of the molecular features of a disease, allowing for innovative and tailored treatments. State-of-the-art proteomics has the potential to accurately explore the human proteome to identify, quantify, and characterize proteins associated with disease progression. There is a pressing need for informative biomarkers to diagnose liver disease early in its course to prevent severe disease for which no efficient treatment is yet available. Here, we propose the concept of a cellular pathway as a functional biomarker, whose monitorization may inform normal and pathological status. We have developed a standardized targeted selected-reaction monitoring assay to detect and quantify 13 enzymes of one-carbon metabolism (1CM). The assay is compliant with Clinical Proteomics Tumor Analysis Consortium (CPTAC) guidelines and has been included in the protein quantification assays that can be accessed through the assay portal at the CPTAC web page. To test the feasibility of the assay, we conducted a retrospective, proof-of-concept study on a collection of liver samples from healthy controls and from patients with cirrhosis or hepatocellular carcinoma (HCC). Our results indicate a significant reconfiguration of 1CM upon HCC development resulting from a process that can already be identified in cirrhosis. Our findings indicate that the systematic and integrated quantification of 1CM enzymes is a promising cell function-based biomarker for patient stratification, although further experiments with larger cohorts are needed to confirm these findings.
Proteomics, FOS: Computer and information sciences, Cancer Research, CPTAC, Proteome, Hepatocellular carcinoma, Liver injury, Gene, Biochemistry, Mass Spectrometry, Computational biology, HEPATOCELLULAR-CARCINOMA, Medicine and Health Sciences, https://purl.org/becyt/ford/3.2, Pathology, Disease, LIVER CANCER, Precision Medicine, ONE-CARBON METABOLISM, Targeted proteomics, Internal medicine, Liver Neoplasms, Life Sciences, CANCER, One-carbon metabolism, Advances in Metabolomics Research, Cirrhosis, LIVER INJURY, PROTEOMICS, Medicine, Original Article, Biomarker discovery, Biology and Disease Human Proteome Project (B/D-HPP), Liver cancer, Liver disease, SRM, Carcinoma, Hepatocellular, PROTEINS, Bioinformatics, S-ADENOSYLMETHIONINE, BIOLOGY, Cancer research, Mitochondrial Dynamics and Reactive Oxygen Species Regulation, Biochemistry, Genetics and Molecular Biology, Humans, https://purl.org/becyt/ford/3, Molecular Biology, Biology, Retrospective Studies, BIOLOGY AND DISEASE HUMAN PROTEOME PROJECT (B/D-HPP), Biomarker, Carbon, TARGETED PROTEOMICS, Metabolic Reprogramming in Cancer Biology, Biomarkers
Proteomics, FOS: Computer and information sciences, Cancer Research, CPTAC, Proteome, Hepatocellular carcinoma, Liver injury, Gene, Biochemistry, Mass Spectrometry, Computational biology, HEPATOCELLULAR-CARCINOMA, Medicine and Health Sciences, https://purl.org/becyt/ford/3.2, Pathology, Disease, LIVER CANCER, Precision Medicine, ONE-CARBON METABOLISM, Targeted proteomics, Internal medicine, Liver Neoplasms, Life Sciences, CANCER, One-carbon metabolism, Advances in Metabolomics Research, Cirrhosis, LIVER INJURY, PROTEOMICS, Medicine, Original Article, Biomarker discovery, Biology and Disease Human Proteome Project (B/D-HPP), Liver cancer, Liver disease, SRM, Carcinoma, Hepatocellular, PROTEINS, Bioinformatics, S-ADENOSYLMETHIONINE, BIOLOGY, Cancer research, Mitochondrial Dynamics and Reactive Oxygen Species Regulation, Biochemistry, Genetics and Molecular Biology, Humans, https://purl.org/becyt/ford/3, Molecular Biology, Biology, Retrospective Studies, BIOLOGY AND DISEASE HUMAN PROTEOME PROJECT (B/D-HPP), Biomarker, Carbon, TARGETED PROTEOMICS, Metabolic Reprogramming in Cancer Biology, Biomarkers
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 15 | |
| downloads | 10 |

Views provided by UsageCounts
Downloads provided by UsageCounts