72 Why TP53 expression varies in lymphoma: Insights from a Bayesian meta-analysis

Aisha Al-Khinji, Muna Yusuf, Noof Al-Thani, Hadeel Al Ashwal, Abdulatif Al Hor, Hissa alkuwari, Aida Habib, Dhafer Malouche · 2026

Read 72 Why TP53 expression varies in lymphoma: Insights from a Bayesian meta-analysis by Aisha Al-Khinji, Muna Yusuf, Noof Al-Thani, Hadeel Al Ashwal, Abdulatif Al Hor, Hissa alkuwari, Aida Habib, Dhafer Malouche (2026) 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-13173108.txt.

Description

Aisha Al-Khinji and co-authors ask why measures of a key gene vary so much across lymphoma studies. Their 2026 paper looks at TP53 in a form of lymphoma called DLBCL. Four past data sets were pooled, with 457 cases from France, Canada, Brazil, and the United States. Gene status was mostly judged by a stain test on tissue.

Two stats methods were compared. Both found a large spread between studies. The pooled result showed no clear link between gene status and cell type. Cut off points for the stain test ranged from twenty to fifty percent. Class rules also differed by study. The authors say method choices and real biology both drive the spread. Their second model adds a clearer view of doubt.

Catalog record

CREATORAisha Al-Khinji, Muna Yusuf, Noof Al-Thani, Hadeel Al Ashwal, Abdulatif Al Hor, Hissa alkuwari, Aida Habib, Dhafer Malouche
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE2 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13173108

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