Prognostic and predictive value of immunoscore signature in gastric cancer.
e15594 Background: TNM staging system is not adequate to define the prognosis of patients with gastric cancer (GC). This system is also unable to predict whether the GC patients are likely to benefit from adjuvant chemotherapy. We postulated that ImmunoScore of GC (ISGC) could markedly improve the prediction of postsurgical survival and adjuvant chemotherapeutic benefits. Methods: 125 GC patients were enrolled as a training cohort to detect the expression of 27 immune features using immunohistochemistry and then constructed a five-feature-based ISGC using the LASSO Cox regression model. Internal validation cohort (126 specimens) and two external validation cohorts (628 specimens) were utilized to validate the prognostic and predictive value of ISGC. Results: We established the ISGC classifier based on the five features: CD3invasive margin (IM), CD3center of tumor (CT), CD8IM, CD45ROCT, and CD66bIM. The ISGC classifier could distinguish GC patients with high-ISGC from those with low-ISGC with significant differences in 5-year disease-free survival (45.0% v.s. 4.4%, p < 0.001) and 5-year overall survival (48.8% v.s. 6.7%, p < 0.001). According to the multivariate analysis, the ISGC classifier was proved to be an independent prognostic factor. A combination of ISGC and TNM had better prognostic value than TNM stage alone. In a further analysis, stage II and III GC patients with high-ISGC exhibited a favorable response to adjuvant chemotherapy. To provide a quantitative method to predict stage II and III GC patients’ probability of 3- and 5-year overall survival, we constructed two nomograms that integrated the ISGC and clinicopathological risk factors. Calibration plots showed that the nomograms performed well compared with an ideal model. The predictive accuracy and clinical usefulness of the nomograms were also demonstrated. Conclusions: The ISGC classifier could effectively predict recurrence and survival of GC, and complemented the prognostic value to TNM system. Moreover, the classifier might be a useful predictive tool to identify candidates with stage II and III GC who would benefit from adjuvant chemotherapy. Therefore, the ISGC might facilitate the counseling and personalize the postoperative management of GC patients.