Abstract 225P
Background
Common evolution of non-muscle invasive bladder cancer (NMIBC) is local recurrence or progression to muscle invasive bladder cancer (MIBC). Some patients (pts) with NMIBC might develop metastases without progression to MIBC. Clinical evolution of these atypical presentations is unknown. Bladder cancer over the last 5 years has surged by over 13% in India. 50-70% of NMIBC cases recur, and around 10-20% progress to MIBC. Challenge in treatment is identifying the patients with mutations or gene expression patterns for targeted therapy, which is not feasible for all owing to high cost. While omics categorized Western patients, molecular landscape of Indian NMIBC remains incomplete. Herein we report a potential predictive signature, derived by combining transcriptome and whole exome sequencing data of a cohort of NMIBC patients treated in our centre.
Methods
From 2018 to 2021, 25 pts treated at our centre were included for the study, which has been approved by Institutional Ethics committee. Median age at diagnosis was 64Y. 88% received intravesical BCG. 60% were T1 stage and recurrence rate 48%. RNA sequencing and whole exome sequencing were performed on 25 primary NMBIC tumors. Machine learning model was used to predict recurrence status. Mutational status between recurrent and non-recurrent patients was also obtained. The gene expression signature was validated in external datasets including GSE13507 and GSE154261.
Results
435 genes were differentially expressed between recurred and non-recurred patients (p<0.05). Machine learning model predicted recurrence with 90% accuracy. Top pathways upregulated include signalling by nuclear receptors, Shigellosis etc. Downregulated include cell adhesion, PIK-AKT, and ECM reorganization. Validation in external dataset correlated positively with p<0.05. In addition to most previously reported signatures and APOBEC, we also found mutations in FGFR3, ABC transporters, and DAMP, differentially regulated between recurred vs non recurred patients.
Conclusions
We identified novel differentially regulated genes and mutations in genes that predicts recurrence with 90% accuracy. Further analysis in a larger set is underway to complete the validation of the predictive model.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Sri Shankara Cancer Hospital and Research Center.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
497P - Sintilimab in combination with anlotinib in advanced NSCLC treated with first-line PD-1 antibodies: An open, single-arm, phase II trial
Presenter: Ying Jin
Session: Poster Display
Resources:
Abstract
498P - Frailty-adjusted life expectancy and survival in older lung cancer patients: A large-scale electronic health-record based study
Presenter: Thao Tu
Session: Poster Display
Resources:
Abstract
499P - Long-term survival and treatment (tx) patterns after first-line (1L) osimertinib in patients (pts) with epidermal growth factor receptor (EGFR) mutation-positive (m) advanced non-small cell lung cancer (NSCLC): Japanese cohort of a global real-world (rw) observational study
Presenter: Daichi Fujimoto
Session: Poster Display
Resources:
Abstract
500P - The effectiveness and safety of durvalumab after chemoradiotherapy for locoregional recurrence of completely resected non-small cell lung cancer: Real-world, multicenter, observational study (NEJ056)
Presenter: Hidehito Horinouchi
Session: Poster Display
Resources:
Abstract
501P - One-year survival outcomes of unresectable stage III non-small cell lung cancer patients who underwent PD-1 inhibitor plus chemo as induction therapy
Presenter: Xin Wang
Session: Poster Display
Resources:
Abstract
502P - Impact of sarcopenia on the outcome of patients with locally advanced non-small cell lung cancer treated with chemoradiotherapy followed by durvalumab
Presenter: Kentaro Tamura
Session: Poster Display
Resources:
Abstract
503P - Clinical outcomes by infusion timing of immune checkpoint inhibitors in patients with locally advanced NSCLC
Presenter: TSUYOSHI HIRATA
Session: Poster Display
Resources:
Abstract
504P - Real-world outcomes with induction systemic therapy for stage III in eligible for upfront local therapy: Pre vs post immunotherapy era in a tertiary referral centre
Presenter: Praveen Kumar Marimuthu
Session: Poster Display
Resources:
Abstract
505P - Neoadjuvant PD-1 inhibitor (tislelizumab) plus platinum–etoposide in patients with limited-stage small cell lung cancer: A phase II trial
Presenter: Junjie Hu
Session: Poster Display
Resources:
Abstract
506P - Intrathoracic progression is still the most dominant failure pattern after first-line chemo-immunotherapy in extensive-stage small-cell lung cancer: Implications for thoracic radiotherapy
Presenter: Byoung Hyuck Kim
Session: Poster Display
Resources:
Abstract