Multidimensional Transcriptomics Unveils RNF34 as a Prognostic Biomarker and Potential Indicator of Chemotherapy Sensitivity in Wilms' Tumour.
Jie ZhengFengling LiuJinwei TuoSiyu ChenJinxia SuXiuyi OuMin DingHaoran ChenBo ShiYong LiXun ChenCongjun WangCheng SuPublished in: Molecular biotechnology (2024)
Nephroblastoma, colloquially known as Wilms' tumour (WT), is the predominant malignant renal neoplasm arising in the paediatric population. Modern therapeutic approaches for WT incorporate a synergistic combination of surgical intervention, radiotherapy, and chemotherapy, which substantially ameliorate the overall patient survival rate. Despite this, the optimal sequence of chemotherapy and surgical intervention remains a matter of contention, with each strategy presenting its own strengths and weaknesses that could influence clinical decision-making. To make some headway on this clinical dilemma, we deployed a multidimensional transcriptomics integration approach by analysing bulk RNA sequencing data with 136 samples, as well as single-nucleus RNA sequencing (snRNA-seq) and paired spatial transcriptome sequencing (stRNA) data from 32 WT specimens. Our findings identified a distinct elevation of RNF34 expression within WT samples, which correlated with unfavourable prognostic outcomes. Leveraging the Genomics of Drug Sensitivity in Cancer (GDSC), we simultaneously revealed that patients with high expression of RNF34 have higher sensitivity to commonly used chemotherapy drugs for WT. Furthermore, our analysis of snRNA and stRNA data unveiled a reduced proportion of RNF34 expression in neoplastic cells after chemotherapy. Moreover, stRNA data delineated a significant association between a higher proportion of RNF34 expression in cancer cells and adverse features such as anaplastic histology and tumour recurrence. Intriguingly, we also observed a close association between elevated RNF34 expression and a characteristic exhausted tumour immune microenvironment. Collectively, our findings underscore the pivotal role of RNF34 in the prognostic prediction potential and treatment sensitivity of WT. This comprehensive analysis can potentially inform and refine clinical decision-making for WT patients and guide future studies towards the development of optimized, rational therapeutic strategies.
Keyphrases
- single cell
- poor prognosis
- locally advanced
- rna seq
- decision making
- randomized controlled trial
- dna damage response
- electronic health record
- end stage renal disease
- emergency department
- binding protein
- newly diagnosed
- intensive care unit
- genome wide
- early stage
- chronic kidney disease
- case report
- gene expression
- induced apoptosis
- type diabetes
- machine learning
- cell proliferation
- stem cells
- metabolic syndrome
- squamous cell carcinoma
- risk assessment
- adipose tissue
- dna methylation
- drug delivery
- drug induced
- human health
- data analysis
- cell cycle arrest
- cell death
- adverse drug
- dna damage
- deep learning
- patient reported
- oxidative stress
- replacement therapy
- combination therapy