Development and validation of a prediction-score model for distant metastases in major salivary gland carcinoma.

Authors

null

Jelena Lukovic

Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada

Jelena Lukovic , Fatima Alfaraj , Michelle Lynn Mierzwa , Gustavo Nader Marta , Wei Xu , Jie Su , Fabio Ynoe de Moraes , Shao Hui Huang , Scott Victor Bratman , Brian O'Sullivan , John Kim , Jolie Ringash , John Waldron , John R. de Almeida , David Paul Goldstein , Andrew Rosko , Mathew E Spector , Luiz Paulo Kowalski , Andrew Hope , Ali Hosni

Organizations

Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada, Department of Radiation Oncology, BC Cancer Agency - Centre for the North, Prince George, BC, Canada, Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, Department of Radiation Oncology, A.C. Camargo Cancer Center, Sao Paulo, Brazil, Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada, Department of Otolaryngology-Head & Neck Surgery/Surgical Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada, Department of Otolaryngology, University of Michigan, Ann Arbor, MI, AC Camargo Cancer Center, São Paulo, Brazil

Research Funding

Other

Background: We developed and validated a prediction-score for distant metastases (DM) in major salivary gland carcinoma (SGC). Methods: Patients with SGC treated with curative-intent surgery +/- postoperative radiation therapy (PORT) at 4 tertiary cancer centers were divided into discovery (institution A&B) and validation (institution C&D) cohorts. Multivariable analysis using competing risk regression was used to identify predictors of DM in the discovery cohort and create a prediction score. The optimal score cut-off for high vs low-DM risk was determined using a minimal p-value approach. The results were subsequently evaluated in the validation cohort. The cumulative incidence and Kaplan-Meier methods were used to analyze DM and overall survival (OS), respectively. Results: Overall, 1035 patients were included (Table). In the discovery cohort, DM predictors (risk score coefficient) were: positive margin (0.6), pT3-4 (0.7), pN+ (0.7), lymphovascular invasion (LVI; 0.8), and high risk histology* (1.2). High DM-risk SGC was defined by sum of coefficients greater than 2. In the discovery cohort, the 5-year cumulative incidence of DM for high vs low risk SGC was 50% vs 8%; p < 0.01; these results were similar in the validation cohort (44% vs 4% at 5 years; p < 0.01). In the combined cohorts, this model predicted distant-only failure (40% vs 6%, p < 0.01) and late ( > 2yr post surgery) DM (22% vs 4%; p < 0.01). Patients with high DM-risk SGC had an increased incidence of DM in the subgroup receiving PORT (46% vs 8%; p < 0.01) or concurrent chemotherapy (71% vs 34%; p < 0.01). The 5-yr OS for high vs low risk SGC was 48% vs 92% (p < 0.01). Conclusions: This validated prediction score model may be used to identify SGC patients at increased risk for DM and select those who may benefit from prospective evaluation of treatment intensification and/or surveillance strategies. Baseline characteristics.

Discovery (n=619)
N (%)
Validation (n=416)
N (%)
p
Median follow up, yrs5.35
Median age, yrs56570.19
Parotid subsite518(84)329(79)0.07
LVI92(15)47(11)0.11
Positive margin215(35)158(38)0.6
High risk histology*372(60)224(54)0.04
pT3-4224(36)129(31)0.09
pN+145(23)89(21)0.45
PORT472(76)285(69)<0.01
5-yr DM (95% CI)20% (17-24%)14% (11-18%)0.03

*High risk histology: adenoid cystic carcinoma, salivary duct carcinoma, carcinosarcoma, undifferentiated carcinoma, grade (G) 2-3 adenocarcinoma, G2-3 mucoepidermoid carcinoma, G2-3 carcinoma ex-pleomorphic adenoma, other G3 histology.

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Abstract Details

Meeting

2019 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Head and Neck Cancer

Track

Head and Neck Cancer

Sub Track

Other Head and Neck Cancer (Salivary, Thyroid)

Citation

J Clin Oncol 37, 2019 (suppl; abstr 6085)

DOI

10.1200/JCO.2019.37.15_suppl.6085

Abstract #

6085

Poster Bd #

74

Abstract Disclosures

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