In one paragraphArticle in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
14 authors.
Wei HuMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200040, China.ORCID 0009-0001-3994-4274 Wenjun JiangMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200040, China.ORCID 0009-0001-9175-7038 Zehua GaoMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200040, China.ORCID 0000-0002-8955-4653 Teng LiuSchool of Artificial Intelligence, Taizhou University, Taizhou 318000, Zhejiang, China.
Yuzhu FangMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200040, China.ORCID 0009-0004-2086-8170 Chenyang ZhangMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200040, China.ORCID 0009-0009-1375-8981 Yunzhe WangMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200040, China.ORCID 0009-0000-8726-3409 Xiwen YangMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200040, China.
Xinyi ZhangMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200040, China.ORCID 0009-0003-4924-3353 Liya SuMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200040, China.ORCID 0009-0003-8010-874X Katie W GuDepartment of Biology, Washington University in St. Louis, St. Louis, MO 63130, USA.
Qianfeng WangThe Fifth People's Hospital of Shanghai, School of Basic Medical Sciences, Fudan University, Shanghai 200040, China.
Bo WenMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200040, China.ORCID 0000-0003-0394-7366 Zhao ZhangMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Fudan University Pudong Medical Center, Shanghai Pudong Hospital, Fudan University, Shanghai 200040, China.ORCID 0000-0002-3757-8469 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Transposable elements (TEs) constitute nearly half of the human genome and have crucial roles in regulatory networks and clinical utility in cancers. However, the expression profiles at a single-element resolution remain unexplored. By integrating multiomics data from ∼10,000 samples and 1000 cancer cell lines, we established an expression atlas of 95,512 individual TEs across 980 subfamilies. Transcription factors and RNA binding proteins that are broadly associated with expressed TEs were involved in cancer-related signaling pathways (e.g., MYC activity). We identified 264,252 TEs as putative cis-regulatory elements associated with oncogenic pathways such as inflammatory response. We analyzed alterations in TE expression in tumors and their associations with clinical relevance and responses to more than 1000 anticancer drugs. Last, we developed the Atlas of Transposon Expression in Cancer (ATEC), a TE data portal enabling users to explore TE expression patterns, putative regulatory networks, and clinical significance. Overall, this study established a comprehensive resource for TEs across cancer types.
Indexed as
DNA Transposable ElementsGene Expression Regulation, NeoplasticGene Regulatory NetworksNeoplasmsCell Line, TumorGene Expression ProfilingHumansTranscription FactorsDNA Transposable ElementsTranscription Factors
Identifiers
PMID42873886
PMCPMC13666008
What OpenQuestion holds
Textmetadata
Read underepoch 390