Y Jiang1, H Wang2, J Wu2, C Chen3, Q Yuan3, W Huang4, T Li4, S Xi5, Y Hu4, Z Zhou6, Y Xu3, G Li7, R Li8. 1. Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou; Guangdong Provincial Key Laboratory on Precision and Minimally Invasive Medicine for Gastrointestinal Cancers, Guangzhou, China; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, USA. 2. Department of Radiation Oncology, Stanford University School of Medicine, Stanford, USA. 3. Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China. 4. Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou; Guangdong Provincial Key Laboratory on Precision and Minimally Invasive Medicine for Gastrointestinal Cancers, Guangzhou, China. 5. The Seventh Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. 6. Department of Gastric Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China. 7. Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou; Guangdong Provincial Key Laboratory on Precision and Minimally Invasive Medicine for Gastrointestinal Cancers, Guangzhou, China. Electronic address: gzliguoxin@163.com. 8. Department of Radiation Oncology, Stanford University School of Medicine, Stanford, USA. Electronic address: rli2@stanford.edu.
Abstract
BACKGROUND: The tumor immune microenvironment can provide prognostic and predictive information. A previously validated ImmunoScore of Gastric Cancer (ISGC) evaluates both lymphoid and myeloid cells in the tumor core and invasive margin with immunohistochemical staining of surgical specimens. We aimed to develop a noninvasive radiomics-based predictor of ISGC. PATIENTS AND METHODS: In this retrospective study including four independent cohorts of 1778 patients, we extracted 584 quantitative features from the intratumoral and peritumoral regions on contrast-enhanced computed tomography images. A radiomic signature [radiomics ImmunoScore (RIS)] was constructed to predict ISGC using regularized logistic regression. We further evaluated its association with prognosis and chemotherapy response. RESULTS: A 13-feature radiomic signature for ISGC was developed and validated in three independent cohorts (area under the curve = 0.786, 0.745, and 0.766). The RIS signature was significantly associated with both disease-free and overall survival in the training and all validation cohorts [hazard ratio (HR) range: 0.296-0.487, all P < 0.001]. In multivariable analysis, the RIS remained an independent prognostic factor adjusting for clinicopathologic variables (adjusted HR range: 0.339-0.605, all P < 0.003). For stage II and stage III disease, patients with a high RIS derived survival benefit from adjuvant chemotherapy {HR = 0.436 [95% confidence interval (CI) 0.253-0.753], P = 0.002; HR = 0.591 (95% CI 0.428-0.818), P < 0.001, respectively}, whereas those with a low RIS did not. CONCLUSION: The RIS is a reliable tool for evaluation of immunoscore and retains the prognostic significance in gastric cancer. Future prospective studies are required to confirm its potential to predict treatment response and select patients who will benefit from chemotherapy.
BACKGROUND: The tumor immune microenvironment can provide prognostic and predictive information. A previously validated ImmunoScore of Gastric Cancer (ISGC) evaluates both lymphoid and myeloid cells in the tumor core and invasive margin with immunohistochemical staining of surgical specimens. We aimed to develop a noninvasive radiomics-based predictor of ISGC. PATIENTS AND METHODS: In this retrospective study including four independent cohorts of 1778 patients, we extracted 584 quantitative features from the intratumoral and peritumoral regions on contrast-enhanced computed tomography images. A radiomic signature [radiomics ImmunoScore (RIS)] was constructed to predict ISGC using regularized logistic regression. We further evaluated its association with prognosis and chemotherapy response. RESULTS: A 13-feature radiomic signature for ISGC was developed and validated in three independent cohorts (area under the curve = 0.786, 0.745, and 0.766). The RIS signature was significantly associated with both disease-free and overall survival in the training and all validation cohorts [hazard ratio (HR) range: 0.296-0.487, all P < 0.001]. In multivariable analysis, the RIS remained an independent prognostic factor adjusting for clinicopathologic variables (adjusted HR range: 0.339-0.605, all P < 0.003). For stage II and stage III disease, patients with a high RIS derived survival benefit from adjuvant chemotherapy {HR = 0.436 [95% confidence interval (CI) 0.253-0.753], P = 0.002; HR = 0.591 (95% CI 0.428-0.818), P < 0.001, respectively}, whereas those with a low RIS did not. CONCLUSION: The RIS is a reliable tool for evaluation of immunoscore and retains the prognostic significance in gastric cancer. Future prospective studies are required to confirm its potential to predict treatment response and select patients who will benefit from chemotherapy.
Authors: Wei Mu; Evangelia Katsoulakis; Christopher J Whelan; Kenneth L Gage; Matthew B Schabath; Robert J Gillies Journal: Br J Cancer Date: 2021-04-07 Impact factor: 7.640