A seven-gene diagnostic and prognostic signature for papillary thyroid carcinoma
Berna Hukkamlı, Burak Dagdelen, Feyza Sönmez Aydın · 2026
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Description
Berna Hukkamlı, Burak Dagdelen, and Feyza Sönmez Aydın assemble a seven-gene signature that separates papillary thyroid cancer from healthy thyroid tissue, in a 2026 bioinformatics study. Needle biopsies of thyroid nodules often return indeterminate answers, and single-mutation tests miss many cancers. Mining a large cancer atlas with more than five hundred tumors, the team used penalized regression to distill gene activity into a compact panel, then checked it in two independent public datasets.
Four genes ran high in tumors and three ran low. The panel scored near-perfect discrimination in the discovery set and remained highly accurate in both outside cohorts. It also split patients by time without disease returning, though that link faded once other factors entered the model. Signs of chemical gene silencing and differing immune surroundings between risk groups invite follow-up laboratory work.
Catalog record
| CREATOR | Berna Hukkamlı, Burak Dagdelen, Feyza Sönmez Aydın |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 62600 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |