Next Generation Sequencing (RNAseq) of non-small cell lung cancer
Cancer testis antigens (CTAs) are of clinical interest as biomarkers and present valuable targets for immunotherapy. To comprehensively characterize the CTA landscape of non-small cell lung cancer (NSCLC), we compared RNAseq data of 199 NSCLC tissues to the normal transcriptome of 142 samples from 32 different normal organs. Of 232 CTAs currently annotated in the CTdatabase, 96 were confirmed in NSCLC. To obtain an unbiased CTA profile of NSCLC, we applied stringent criteria on our RNAseq data s...
Provenance — who produced it, who reused it
Linked to 34 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.
- The deubiquitinase USP10 regulates KLF4 stability and suppresses... 2019 · 162 cites
- A clonal expression biomarker associates with lung cancer mortal... 2019 · 135 cites
- LncRNA PKMYT1AR promotes cancer stem cell maintenance in non-sma... 2021 · 135 cites
- Profiling cancer testis antigens in non–small-cell lung cancer 2016 · 124 cites
- Cross-talk between cuproptosis and ferroptosis regulators define... 2023 · 90 cites
29 further papers cite this accession but reuse could not be confirmed.
Deep data QC
99/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The A grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0