New genomic landscapes and therapeutic targets for biliary tract cancers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Biliary tract cancers (BTCs) are a heterogeneous group of neoplasms characterized by a dismal prognosis. At variance with most solid tumors, no effective molecular targeted agent has been currently approved for BTCs treatment and their molecular landscape has only been recently investigated. Comprehensive mutational profiling studies identified IDH1/2 and BAP1 as characteristic of intrahepatic cholangiocarcinomas, while extrahepatic cholangiocarcinomas and gallbladder carcinomas were characterized by frequent KRAS and TP53 alterations. Moreover, targeted next-generation sequencing has uncovered alterations in several key cellular pathways. BTC-specific alterations include disorders of major regulators of cell cycle and chromatin remodeling processes, as well as deregulation of the mTOR-, TGF-beta/Smad- and receptor tyrosine kinases signaling. The next step will be the correlation of these findings with clinical trials to identify predictive biomarkers for the development of personalized therapies. This will permit early access for BTC patients to innovative drugs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it