Effect of obesity on molecular characteristics of invasive breast tumors: gene expression analysis of 405 tumors by BMI
Background: Obesity is a risk factor for breast cancer in postmenopausal women and is associated with decreased survival and less favorable clinical characteristics such as greater tumor burden, higher grade, and poor prognosis, regardless of menopausal status. Despite the negative impact of obesity on clinical outcome, molecular mechanisms through which excess adiposity influences breast cancer etiology are not well-defined. Methods: Affymetrix U133 2.0 gene expression data were generated for...
Provenance — who produced it, who reused it
Linked to 14 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.
- Survival analysis across the entire transcriptome identifies bio... 2021 · 1,740 cites
- Comprehensive omic characterization of breast cancer in Mexican-... 2021 · 291 cites
- Creatine-mediated crosstalk between adipocytes and cancer cells... 2021 · 143 cites
- Removing unwanted variation from large-scale RNA sequencing data... 2022 · 82 cites
10 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