Abstract 212P
Background
ERBB2 alterations are potential candidates for targeted treatments in metastatic urothelial cancer (UC). Recent data suggest that HER2-targeted antibody-drug conjugate (ADC) treatment is efficacious. Here, we explore the role of ERBB2 in UC by analyzing genomics in a large database of real-world patients.
Methods
Tumor tissues from 1112 Chinese patients with UC were evaluated by comprehensive genomic profiling for alterations in 808 cancer-related genes. Results were analyzed for base substitutions, short indels, copy number changes, and selected rearrangements.
Results
Of 1112 cases, 167 (15.0%) featured ERBB2 genomic alterations (GAs), including 82 (7.4%) ERBB2 mutations (ERBB2mut), 41 (3.7%) ERBB2 amplifications (ERBB2amp) and 44 (4.0%) cases had co-occurring ERBB2 GAs. ERBB2mut was not mutually exclusive of ERBB2amp which occurred in up to 43.2% of co-altered cases. The top mutated ERBB2 SNVs/indels were p.S310F/Y (32, 21.2%) and p.L755S (7, 4.6%). ERBB2mut predominantly affected the kinase (49, 32.5%) or extracellular (69, 45.7%) domains. Genes commonly co-altered with ERBB2 were TERT (68.9%), ARID1A(37.1%), RB1 (28.7%), KMT2C (26.9%) and ATM (24.6%). Other significantly higher mutation frequency for genes were TP53, APC, SMARCA4, NF1, ERBB3, ERCC2, EGFR and MTOR (p<0.05) in ERBB2 GAs cases. Significantly lower rates of CDKN2B were found in ERBB2 GAs compared with ERBB2 wild type (22.0% vs 12.0%, p<0.01). CDK12 was the most common co-amplification gene with ERBB2amp (p<0.01). FGFR3 mutations were significantly enriched in ERBB2mut than ERBB2amp (p=0.04). Patients with ERBB2 GAs were significantly more likely to have high tumor mutational burden (p<0.01).
Conclusions
The study provided the landscape of ERBB2 alterations in UC that may benefit from anti-HER2 agents. Consideration should be given to developing trials inclusive of patients with UC harboring ERBB2 alterations.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
310P - A study on the prediction of recurrence site of endometrial cancer using various machine learning techniques
Presenter: Wonkyo Shin
Session: Poster Display
Resources:
Abstract
311P - Circulating cytokines in the differential diagnosis of endometrial cancer
Presenter: Tatyana Abakumova
Session: Poster Display
Resources:
Abstract
312P - Molecular and genetic features of squamous cell carcinoma of vulvar cancer depending on HPV status
Presenter: Visola Navruzova
Session: Poster Display
Resources:
Abstract
313P - Efficacy and safety of oral metronomic chemotherapy in recurrent refractory advanced gynaecological cancer: Experience from regional cancer center of eastern India
Presenter: Ranti Ghosh
Session: Poster Display
Resources:
Abstract
314P - Perioperative outcomes in advanced epithelial ovarian cancer treated with neoadjuvant bevacizumab and chemotherapy: Real-world experience from an Indian cancer centre
Presenter: Upasana Palo
Session: Poster Display
Resources:
Abstract
315P - Real-world experience of niraparib as maintenance therapy in newly diagnosed advanced ovarian cancer: A single-center retrospective study
Presenter: Wenxin Liu
Session: Poster Display
Resources:
Abstract
316P - First evidence of olaparib maintenance therapy in patients with newly diagnosed BRCA wild-type ovarian cancer: A real-world multicenter study
Presenter: Jing Li
Session: Poster Display
Resources:
Abstract
317P - Attitudes of Israeli gynecologists towards risk reduction salpingo-oophorectomy at hysterectomy for benign conditions and the use of hormonal therapy
Presenter: wisam Assaf
Session: Poster Display
Resources:
Abstract
319P - Survival prediction for ovarian cancer patients from Taiwan cancer registry data
Presenter: Tzu-Pin Lu
Session: Poster Display
Resources:
Abstract
320P - Treatment patterns and outcomes in Indian patients with advanced ovarian cancer: A single center experience
Presenter: Pushpendra Hirapara
Session: Poster Display
Resources:
Abstract