Differential co‐expression network analysis elucidated genes associated with sensitivity to farnesyltransferase inhibitor and prognosis of acute myeloid leukemia

Nurdan Kelesoglu, Medi Kori, Betul Karademir Yilmaz, Ozlem Ates Duru, Kazim Yalcin Arga · 2023

Read Differential co‐expression network analysis elucidated genes associated with sensitivity to farnesyltransferase inhibitor and prognosis of acute myeloid leukemia by Nurdan Kelesoglu, Medi Kori, Betul Karademir Yilmaz, Ozlem Ates Duru, Kazim Yalcin Arga (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10757125.txt.

Description

Nurdan Kelesoglu and co-authors hunt gene groups that forecast drug response in acute myeloid leukemia. Their 2023 study sorts patients by whether they answered a farnesyltransferase inhibitor, a targeted drug class. The disease is varied and its outlook poor, so markers that split likely responders from others carry real weight.

The team compared how genes switch on and off together in responders and non-responders, using records from relapsed, resistant, and untreated patients. Each camp yielded a tight five-gene group with strong power to forecast survival, the risk scores separating patients roughly fourfold. Five master switch genes appeared in both networks. The authors offer the gene sets as candidate guides for picking who should get this drug family.

Catalog record

CREATORNurdan Kelesoglu, Medi Kori, Betul Karademir Yilmaz, Ozlem Ates Duru, Kazim Yalcin Arga
YEAR2023
COLLECTIONPAPERS
FORMATTXT
FILE SIZE47 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC10757125

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