ArticleCancer discovery2019
Hypoxic Tumors Share Genomic Instability.
Article in Cancer discovery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
The 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.
Who cites it
2 citing papers in PubMed.
- Pan-cancer analysis reveals DDIAS as a potential diagnostic biomarker, prognostic indicator, and tumor-immune correlate.Discover oncology · 2026Article
- Prognostic Value of Genomic Instability of mFrontiers in cell and developmental biology · 2022Article
Corrections and comments
- Comment on
Authors and funding
0 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A genomic analysis of 8,006 tumors spanning 19 cancer types suggests that hypoxic tumors share common features, including genomic instability. Eleven types of cancer carried extra copies of MYC, and seven types had lost PTEN. The study also found that miRNA dysregulation was prevalent across tumor types.
Indexed as
Identifiers
30723077What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.