Integrative multi-omics analysis of muscle-invasive bladder cancer identifies prognostic biomarkers for frontline chemotherapy and immunotherapy.
Qianxing MoRoger LiDennis O AdeegbeGuang PengKeith Syson ChanPublished in: Communications biology (2020)
Only a subgroup of patients with muscle-invasive bladder cancer (MIBC) are responders toward cisplatin-based chemotherapy and PD-L1 blockade immunotherapy. There is a clinical need to identify MIBC molecular subtypes and biomarkers for patient stratification toward the therapies. Here, we performed an integrative clustering analysis of 388 MIBC samples with multi-omics data and identified basal and luminal/differentiated integrative subtypes and derived a 42 gene panel for classification of MIBC. Using nine additional gene expression data (n = 844), we demonstrated the prognostic value of the 42 basal-luminal genes. The basal subtype was associated with worse overall survival in patients receiving no neoadjuvant chemotherapy (NAC), but better overall survival in patients receiving NAC in two clinical trials. Each of the subtypes could be further divided into chr9 p21.3 normal or loss subgroup. The patients with low expression of MTAP/CDKN2A/2B (indicative of chr9 p21.3 loss) had a significantly lower response rate to anti-PD-L1 immunotherapy and worse survival than the patients with high expression of MTAP/CDKN2A/2B. This integrative analysis reveals intrinsic MIBC subtypes and biomarkers with prognostic value for the frontline therapies.
Keyphrases
- muscle invasive bladder cancer
- neoadjuvant chemotherapy
- locally advanced
- gene expression
- genome wide
- poor prognosis
- clinical trial
- single cell
- transcription factor
- network analysis
- free survival
- electronic health record
- genome wide analysis
- dna methylation
- rectal cancer
- squamous cell carcinoma
- lymph node
- big data
- radiation therapy
- genome wide identification
- binding protein
- phase iii
- randomized controlled trial
- early stage
- single molecule
- open label
- data analysis