Title: In silico study discerns PIH1D1 and p53 to be promising prognostic markers for children's brain cancer

Authors: Dhiraj Kumar Singh; Prashant Ranjan; Sahar Qazi; Bimal Prasad Jit; Amit Kumar Verma; Riyaz Ahmad Mir

Addresses: Department of Biochemistry, All India Institute of Medical Sciences, New Delhi-110029, India; Department of Biosciences, Jamia Millia Islamia University, New Delhi-110025, India ' Centre for Genetic Disorders, Banaras Hindu University, Varanasi-221005, UP, India ' Department of Biochemistry, All India Institute of Medical Sciences, New Delhi-110029, India ' Department of Biochemistry, All India Institute of Medical Sciences, New Delhi-110029, India ' Department of Biosciences, Jamia Millia Islamia University, New Delhi-110025, India ' Department of Biochemistry, All India Institute of Medical Sciences, New Delhi-110029, India

Abstract: Genetic alterations in normal brain cells lead to the development of brain tumours (BT). The incidence of newly diagnosed cases is on the rise over time. Understanding the molecular biology of paediatric brain tumours is crucial for advancing novel therapeutic approaches to prevent or effectively manage this disease. The R2TP complex, a conserved co-chaperone from yeast to mammals, including RUVBL1, RUVBL2, PIH1D1, and RPAP3 in humans, plays a crucial role in the assembly and maturation of various multi-subunit complexes. This study evaluates the expression of PIH1D1 and p53 in paediatric brain cancers using The Cancer Genome Atlas (TCGA) data through the UALCAN. Our analysis revealed elevated expression levels of PIH1D1 in paediatric brain tumours across all age groups compared to normal tissues, suggesting its potential as an early detection marker and a prognostic indicator. Additionally, p53 emerged as a promising target for brain tumour treatment, warranting exploration for age-specific applications.

Keywords: R2TP; PIH1D1; paediatric brain tumour; TCGA; UALCAN; CBTTC.

DOI: 10.1504/IJDMB.2026.154686

International Journal of Data Mining and Bioinformatics, 2026 Vol.30 No.3/4, pp.179 - 198

Received: 25 Mar 2024
Accepted: 03 Jun 2024
Published online: 10 Jul 2026 *

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