Gene interaction network analysis in multiple myeloma detects complex immune dysregulation associated with shorter survival
Anish K Simhal, Kylee H Maclachlan, Rena Elkin, Jiening Zhu, Larry Norton, Joseph O Deasy, Jung Hun Oh, Saad Z Usmani, Allen Tannenbaum · 2023
Read Gene interaction network analysis in multiple myeloma detects complex immune dysregulation associated with shorter survival by Anish K Simhal, Kylee H Maclachlan, Rena Elkin, Jiening Zhu, Larry Norton, Joseph O Deasy, Jung Hun Oh, Saad Z Usmani, Allen Tannenbaum (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-10687027.txt.
Description
Anish Simhal and co-authors map gene networks in a blood cancer in a 2023 study. Multiple myeloma varies hugely in its genes, its drug response, and its outlook. The team merged a known protein interaction web with a large patient dataset.
A curvature measure from geometry grades how robust each network link is. Gene activity and copy number data flow through that lens together. Clustering by curvature split out high-risk subtypes with short remission times. Immune system disorder emerged as a tangled, complex pattern, not one broken gene. Network shape itself may warn which patients need stronger treatment early.
Catalog record
| CREATOR | Anish K Simhal, Kylee H Maclachlan, Rena Elkin, Jiening Zhu, Larry Norton, Joseph O Deasy, Jung Hun Oh, Saad Z Usmani, Allen Tannenbaum |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |