The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Integrative proteogenomic characterization of early esophageal cancer
Open accessPreprint — published as 10.1038/s41467-023-37440-w · Paper page
Abstract
We performed a comprehensive genomic, proteomic, and phosphoproteomic analysis of 756 trace-tumor-samples from 124 esophageal cancer (EC) patients, covering 9 major histopathological stages and 22 substages. The results revealed a significant diversity of proteome patterns in the 22 substages. The integrated multi-omics data identified genomic-proteomic aberrations revealing the association of TP53, ATM, and EP400 mutations that affected cell cycle, DNA repair, and glycolysis, with poor prognosis. Proteome-based analysis elucidated the stage-specific molecular characterization and defined the cancer-driving waves along with the mutation accumulation in esophageal carcinogenesis and progression. Furthermore, the trajectory analysis identified 6 major tracks related to different clinical features during early EC progression. Growingly enhanced and hyperphosphorylated phosphoglycerate kinase 1 (PGK1, S203) was detected and considered as a drug target in EC progression. Collectively, this study provides insight into the understanding of the molecular mechanism of EC progression and a valuable resource for the development of therapeutic targets.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566
Self-citation
Flagged first, then by citations
Metadata
- Authors
- Li, L., Jiang, D., Zhang, Q., Liu, H., Qin, Z., Xu, F., Shen, D., Wang, H., Feng, J., Liu, Y., Chen, W., Zhang, X., Bai, L., Tian, S., Tan, S., Xu, C., Song, Q., Liu, Y., Zhong, Y., Chen, T., Zhou, P., Zhao, J.-Y., Hou, Y.-Y., & Ding, C.
- Affiliations
- Fudan University (CN)
- Southwest Medical University (CN)
- Institute of Biomedical Sciences, Human Phenome Institute, Fudan University
- Fudan University
- Shanghai Jiao Tong University (CN)
- Corresponding author
- Chen, Tianyin
- Zhou, Pinghong
- ORCID
- Venue
- Nature Communications
- Published
- 2021-03-01
- Volume
- 14
- Issue
- 1
- Pages
- 1666-1666
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC10039899
- OpenAlex
- W4360949193
- Cited by
- 67
- References
- 1
- Citations by year
- 2026: 13 · 2025: 28 · 2024: 19 · 2023: 7
- FWCI
- 17.89
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Natural Science Foundation of Shanghai (81702372, 18ZR1406800, 2017SHZDZX01)
- National Natural Science Foundation of China (31972933, 973 Program, 2018YFA0507501, 2012CB910300, 2016YFA0502500, 18ZR1406800, 2017YFA0505100, 81702372, 2014CBA02000, 2014DFB30010, 22XD1420100, 2017SHZDZX01, 31700682, 31270822, 31770886)
- Ministry of Science and Technology of the People's Republic of China (2014DFB30010, 2016YFA0502500, 2014CBA02000, 2012CB910300, 973 Program)
- Shanghai Education Development Foundation (19SG02)
- Shanghai Municipal Education Commission (19SG02)
- National High-tech Research and Development Program
- National Key Research and Development Program of China (2016YFA0502500, 2014CBA02000, 2012CB910300)
- Program of Shanghai Academic Research Leader (22XD1420100)
- Topics
- Health Sciences › Medicine › Surgery › Esophageal Cancer Research and Treatment
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Health Sciences › Medicine › Oncology › Gastric Cancer Management and Outcomes
- Keywords
- esophageal squamous cell carcinoma, early esophageal cancer, tumor progression, intraepithelial neoplasia, proteogenomics, multi-omics, alcohol consumption, chromosome 3q gain, TP53 mutation, DNA replication, AKAP9, glycolysis, Wnt signaling, therapeutic target
- MeSH terms
- Proteogenomics, Esophageal Squamous Cell Carcinoma, Carcinoma, Squamous Cell, Esophageal Neoplasms, Humans, Mutation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
