Genome-wide screening of transcriptional modulation in non-smoking female lung cancer in Taiwan
Although smoking is the major risk factor for lung cancer, only 7% of female lung cancer patients in Taiwan have a history of cigarette smoking, extremely lower than those in Caucasian females. This report is a comprehensive analysis of the molecular signature of non-smoking female lung cancer in Taiwan.
Provenance — who produced it, who reused it
Linked to 141 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- YTHDF1 links hypoxia adaptation and non-small cell lung cancer p... 2019 · 374 cites
- Personalized characterization of diseases using sample-specific... 2016 · 341 cites
- LINC01123, a c-Myc-activated long non-coding RNA, promotes proli... 2019 · 295 cites
- DTL promotes cancer progression by PDCD4 ubiquitin-dependent deg... 2019 · 143 cites
- Long non-coding RNA linc00665 promotes lung adenocarcinoma progr... 2019 · 140 cites
- <scp>FAM</scp>83 family oncogenes are broadly involved in human... 2017 · 128 cites
- CCNB2 overexpression is a poor prognostic biomarker in Chinese N... 2015 · 126 cites
- Identification of Candidate Biomarkers Correlated With the Patho... 2018 · 124 cites
- Long non-coding RNA LINC01133 represses KLF2, P21 and E-cadherin... 2016 · 96 cites
- Targeting METTL3 reprograms the tumor microenvironment to improv... 2023 · 89 cites
- Personalized identification of altered pathways in cancer using... 2014 · 85 cites
- PHD finger protein 1 (PHF1) is a novel reader for histone H4R3 s... 2018 · 83 cites
- TMBIM6/BI-1 contributes to cancer progression through assembly w... 2020 · 80 cites
- USP12 downregulation orchestrates a protumourigenic microenviron... 2021 · 77 cites
- High expression of long non-coding RNA SBF2-AS1 promotes prolife... 2016 · 77 cites
- Feature Selection and Cancer Classification via Sparse Logistic... 2016 · 72 cites
64 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.