Abstract 841P
Background
Although several clinical parameters-based prediction indexes of extra-nodal natural killer/T-cell lymphoma (ENKTL) are proposed, these indexes include none of pathological index and had insufficient accuracy. A superior clinically feasible prediction index for ENKTL in the modern chemotherapy era is warranted.
Methods
600 ENKTL patients receiving non-anthracycline based therapy from Sun Yat-sen University Cancer Center were subdivided into training and internal validation datasets. An external validation dataset included 191 patients from West China Hospital was enrolled. Ki67 proliferative index and 14 pretreatment clinical parameters were tested against overall survival (OS) and progression-free survival (PFS). A prediction model was constructed and validated.
Results
Factors independently associated with inferior OS were as follows: Ki67 ≥ 70%; age > 60 years; ECOG PS ≥ 2; B symptoms; stage-III/-IV disease and detectable EBV-DNA copy number. Each of these six factors contributed one point to a prediction model that stratified patients into four risk groups: 0-1 point, low-risk; 2 points, intermediate-risk;3 points, intermediate high-risk; 4-6 points, high-risk. In the training dataset, the 5-year OS rates were 91%, 75%, 65% and 26% for the low-, intermediate-, intermediate high- and high-risk group, respectively (P < 0.001). The 5-year PFS rates were 79%, 62%, 48% and 15%, respectively (P < 0001). The time-dependent area under the receiver-operator characteristic (AUROC) curve and Harrell’s C-statistic of Ki67-revised Risk Index (KRI) for OS and PFS prediction demonstrated a better performance than that of the international prognostic index (IPI), Korean prognostic index (KPI), prognostic index of natural killer lymphoma (PINK) and nomogram-revised risk index (NRI). Concordant results were successfully validated in both internal and external validation datasets.
Conclusions
KRI is a new promising prediction index to risk-stratify patients with ENKTL receiving non-anthracycline based therapy.
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
968P - High sensitivity routine blood based detection of HCC: An AI model from 220k patients
Presenter: Kin Nam Kwok
Session: Poster session 18
969P - Establishing a novel routine blood component signature for Hepatocellular Carcinoma (HCC) screening with big clinical data
Presenter: Ka Man Cheung
Session: Poster session 18
970P - Real-world multi-center study of systemic treatment after first-line atezolizumab plus bevacizumab for advanced hepatocellular carcinoma in Asia-Pacific countries
Presenter: Choong-kun Lee
Session: Poster session 18
971P - Effect of preoperative frailty on surgical outcomes following hepatic resection for elderly patients with hepatocellular carcinoma: A multicenter retrospective cohort study from China
Presenter: Zhongqi Fan
Session: Poster session 18
972P - Sequential therapies after atezolizumab plus bevacizumab or lenvatinib first-line treatments in advanced hepatocellular carcinoma
Presenter: Mara Persano
Session: Poster session 18
973P - Clinicopathologic and treatment outcome data in 165 fibrolamellar carcinoma patients
Presenter: Sunyoung Lee
Session: Poster session 18
974P - The barthel index predicts surgical textbook outcomes following hepatectomy for elderly patients with hepatocellular carcinoma: A multicenter cohort study from China
Presenter: Guoyue Lv
Session: Poster session 18
975P - The clinical impact of urinary protein creatinine ratio and AFP at six weeks in patients with unresectable hepatocellular carcinoma treated with atezolizumab plus bevacizumab
Presenter: Kaoru Tsuchiya
Session: Poster session 18
976P - Overall survival in advanced hepatocellular carcinoma treated with concomitant systemic therapy and stereotactic radiation therapy or systemic therapy alone
Presenter: Alexander Piening
Session: Poster session 18