CT-Based Weighted Radiomic Score Predicts Tumor Response to Immunotherapy in Non-Small Cell Lung Cancer / 中国医学科学院学报

Objective To develop a CT-based weighted radiomic model that predicts tumor response to programmed death-1(PD-1)/PD-ligand 1(PD-L1)immunotherapy in patients with non-small cell lung cancer.Methods The patients with non-small cell lung cancer treated by PD-1/PD-L1 immune checkpoint inhibitors in the Peking Union Medical College Hospital from June 2015 to February 2022 were retrospectively studied and classified as responders(partial or complete response)and non-responders(stable or progressive disease).Original radiomic features were extracted from multiple intrapulmonary lesions in the contrast-enhanced CT scans of the arterial phase,and then weighted and summed by an attention-based multiple instances learning algorithm.Logistic regression was employed to build a weighted radiomic scoring model and the radiomic score was then calculated.The area under the receiver operating characteristic curve(AUC)was used to compare the weighted radiomic scoring model,PD-L1 model,clinical model,weighted radiomic scoring + PD-L1 model,and comprehensive prediction model.Results A total of 237 patients were included in the study and randomized into a training set(n=165)and a test set(n=72),with the mean ages of(64±9)and(62±8)years,respectively.The AUC of the weighted radiomic scoring model reached 0.85 and 0.80 in the training set and test set,respectively,which was higher than that of the PD-L1-1 model(Z=37.30,P<0.001 and Z=5.69,P=0.017),PD-L1-50 model(Z=38.36,P<0.001 and Z=17.99,P<0.001),and clinical model(Z=11.40,P<0.001 and Z=5.76,P=0.016).The AUC of the weighted scoring model was not different from that of the weighted radiomic scoring + PD-L1 model and the comprehensive prediction model(both P>0.05).Conclusion The weighted radiomic scores based on pre-treatment enhanced CT images can predict tumor responses to immunotherapy in patients with non-small cell lung cancer.

Clinical and pathological characteristics of immune-mediated liver injury caused by immune checkpoint inhibitors / 中华内科杂志

Objective: Cancer immunotherapy can lead to various side effects, termed immune-related adverse events (irAE). This study summarized and analyzed the clinical and pathological characteristics of immune-mediated liver injury caused by immune checkpoint inhibitors (ILICI). Methods: This is a retrospective case series study involving 11 patients diagnosed with ILICI at the Peking Union Medical College Hospital from November 2019 to November 2021. Patient demographic information and clinical data, including gender, age, ILICI onset, clinical and radiological manifestations, pathological features, treatment, and resumption of ICI were retrospectively collected and analyzed. Results: The patients were primarily males (9/11) with a median age of 65 (range: 32-73) years. ICI mainly resulted in either partial remission (4/11) or stable disease (3/11). ILICI occurred after a median of two cycles of anti-programmed cell death-1 (PD-1) therapy, with a median time from the initial and last anti-PD-1 therapy to ILICI onset of 57 days and 17 days, respectively. ILICI was mostly severe (3/11) or very severe (6/11). While the clinical and radiological manifestations were non-specific, the pathological features were active lobular hepatitis and portal inflammation, with prominent CD8+T lymphocyte infiltration. The basic treatment was hepatoprotective drugs (10/11). Glucocorticoids were used as the primary therapy (9/11) but were ineffective in 4 of 9 cases. Of these, 3 of 9 cases received combined treatment with mycophenolate mofetil (MMF), only one of whom achieved remission. By the end of the study, 2 of 11 cases had resumed ICI and neither had experienced an ILICI relapse. Conclusion: The ILICI patients in this study had a corresponding history of ICI treatment and pathological features. The main treatment included hepatoprotective drugs and glucocorticoids. Immunosuppressive drugs were added for some cases but had poor efficacy.

Recurrence patterns of advanced non-small cell lung cancer treated with gefitinib / 中华医学杂志(英文版)

<p><b>BACKGROUND</b>Geftinib is widely used in the treatment of advanced non-small cell lung cancer (NSCLC). However, only a small number of reports have described initial failure sites in patients treated with gefitinib. The aim of this study was to investigate survival, recurrence sites, and treatment after recurrence in these patients.</p><p><b>METHODS</b>A retrospective review was conducted of all patients with stage III/IV NSCLC treated with gefitinib in Peking Union Medical College Hospital from October 2002 to September 2011. Patient characteristics, initial failure sites, associated clinical factors, and subsequent therapy were included in the analysis of prognostic factors.</p><p><b>RESULTS</b>A total of 316 patients were identified The median progress free survival (PFS) and overall survival (OS) times were 238 days and 468 days, respectively. The median survival time after progression was 145 days. The sites of initial failure were lung (62.34%), bone (17.72%), central nerve system (CNS, 16.14%), liver (9.49%), and others (7.19%). Patients with single-site progression or multi-site progression were 81.01% and 18.99%, respectively. Progression-free survival time was associated with lung and bone failure. Additionally, the median survival time after progression was lower in patients with multi-site progression and liver progression. Other initial failure sites displayed no relationship with survival, including CNS failure. Subsequent therapy may affect survival after progression. In patients receiving continuous epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) therapy, chemotherapy, radiotherapy, and re- treatment with EGFR-TKIs, survival time after progression was prolonged compared with the best supportive care.</p><p><b>CONCLUSIONS</b>Our data suggest that patients receiving gefitinib should be closely monitored regarding lung metastasis during follow-up. Liver metastases and multi-site progression were poor prognostic factors. After failure with gefitinib, patients may benefit from radiotherapy, chemotherapy, continuous EGFR-TKI therapy and re-treatment with EGFR-TKIs.</p>