Cancer type-specific variation in patterns of driver alterations across 50,000 tumors.
Chaitanya Bandlamudi, Daniel Muldoon, Ino de Bruijn, Mingxuan Zhang, Michael V Gormally, Emily C Harrold, Subhiksha Nandakumar, Shaleigh A Smith, Mark Y Jeng, Sydney Woods and 79 more
Article in Cancer cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
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 registry
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.
PROJECT 3: Applying Liquid Biopsy Technologies to Detect Clinical Response and Mechanisms of Resistance in the Treatment of LMSP50CA272170 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Elizabeth Demicco · 2022 to 2026
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.
Cancer type-specific variation in patterns of driver alterations across 50,000 tumors. · full record | OpenQuestion