Predicting Durable Responses to Immune Checkpoint Inhibitors in Non-Small-Cell Lung Cancer Using a Multi-Feature Model.

Due to the complex mechanisms affecting anti-tumor immune response, a single biomarker is insufficient to identify patients who will benefit from immune checkpoint inhibitors (ICIs) treatment. Therefore, a comprehensive predictive model is urgently required to predict the response to ICIs. A total of 162 non-small-cell lung cancer (NSCLC) patients undergoing ICIs treatment from three independent cohorts were enrolled and used as training and test cohorts (training cohort = 69, test cohort1 = 72, test cohort2 = 21). Eight genomic markers were extracted or calculated for each patient. Ten machine learning classifiers, such as the gaussian process classifier, random forest, and support vector machine (SVM), were evaluated. Three genomic biomarkers, namely tumor mutation burden, intratumoral heterogeneity, and loss of heterozygosity in human leukocyte antigen were screened out, and the SVM_poly method was adopted to construct a durable clinical benefit (DCB) prediction model. Compared with a single biomarker, the DCB multi-feature model exhibits better predictive value with the area under the curve values equal to 0.77 and 0.78 for test cohort1 and cohort2, respectively. The patients predicted to have DCB showed improved median progression-free survival (mPFS) and median overall survival (mOS) than those predicted to have non-durable clinical benefit.

Long-term outcomes of elderly hairy cell leukemia patients treated with cladribine.

Hairy cell leukemia (HCL) is a rare hematologic disorder characterized by pancytopenia and splenomegaly for which a single course of cladribine is highly effective in inducing complete remissions. However, there is limited real-world data on outcomes and complications among geriatric patients with HCL treated with cladribine. We conducted a retrospective review of all patients 70 years or older within the Scripps Clinic HCL Database at the time of first treatment with cladribine. Of the 45 patients meeting inclusion criteria, 32 (71%) achieved CR and 4 (9%) achieved PR. Of the 9 remaining patients, 7 achieved normalization of peripheral blood counts after a single course of cladribine (complete hematologic response, CHR) and 2 had no response. The median duration of response for all responders was 119 months. Nine (20%) patients relapsed with a median time to first relapse of 28 months. Ten patients subsequently developed 12 primary malignancies with an excess frequency (observed-to-expected ratio) of 0.85 (95% confidence interval, 0.48-1.49). Median overall survival for the entire cohort was 166 months from time of HCL diagnosis and 119 months from time of first cladribine administration. Forty patient deaths were observed; the standardized mortality ratio (observed-to-expected ratio) was 1.42 (95% confidence interval, 1.03-1.96), representing a statistically significant increase in the risk of death (P = .03). This study supports the high rate of complete and durable responses following a single course of cladribine in geriatric patients.