Development and validation of an MRI-Based nomogram to predict the effectiveness of immunotherapy for brain metastasis in patients with non-small cell lung cancer.

Introduction: The variability and unpredictability of immune checkpoint inhibitors (ICIs) in treating brain metastases (BMs) in patients with advanced non-small cell lung cancer (NSCLC) is the main concern. We assessed the utility of novel imaging biomarkers (radiomics) for discerning patients with NSCLC and BMs who would derive advantages from ICIs treatment. Methods: Data clinical outcomes and pretreatment magnetic resonance images (MRI) were collected on patients with NSCLC with BMs treated with ICIs between June 2019 and June 2022 and divided into training and test sets. Metastatic brain lesions were contoured using ITK-SNAP software, and 3748 radiomic features capturing both intra- and peritumoral texture patterns were extracted. A clinical radiomic nomogram (CRN) was built to evaluate intracranial progression-free survival, progression-free survival, and overall survival. The prognostic value of the CRN was assessed by Kaplan-Meier survival analysis and log-rank tests. Results: In the study, a total of 174 patients were included, and 122 and 52 were allocated to the training and validation sets correspondingly. The intratumoral radiomic signature, peritumoral radiomic signature, clinical signature, and CRN predicted intracranial objective response rate. Kaplan-Meier analyses showed a significantly longer intracranial progression-free survival in the low-CRN group than in the high-CRN group (p < 0.001). The CRN was also significantly associated with progression-free survival (p < 0.001) but not overall survival. Discussion: Radiomics biomarkers from pretreatment MRI images were predictive of intracranial response. Pretreatment radiomics may allow the early prediction of benefits.

Using MRI radiomics to predict the efficacy of immunotherapy for brain metastasis in patients with small cell lung cancer.

BACKGROUND: Brain metastases (BMs) are common in small cell lung cancer (SCLC), and the efficacy of immune checkpoint inhibitors (ICIs) in these patients is uncertain. In this study we aimed to develop and validate a radiomics nomogram based on magnetic resonance imaging (MRI) for intracranial efficacy prediction of ICIs in patients with BMs from SCLC. METHODS: The training and validation cohorts consisted of 101 patients from two centers. The interclass correlation coefficient (ICC), logistic univariate regression analysis, and random forest were applied to select the radiomic features, generating the radiomics score (Rad-score) through the formula. Using multivariable logistic regression analysis, a nomogram was created by the combined model. The discrimination, calibration, and clinical utility were used to assess the performance of the nomogram. Kaplan-Meier curves were plotted based on the nomogram scores. RESULTS: Ten radiomic features were selected for calculating the Rad-score as they could differentiate the intracranial efficacy in the training (area under the curve [AUC], 0.759) and the validation cohort (AUC, 0.667). A nomogram was created by combining Rad-score, treatment lines, and neutrophil-to-lymphocyte ratio (NLR). The training cohort obtained an AUC of 0.878 for the combined model, verified in the validation cohort (AUC = 0.875). Kaplan-Meier analyses showed the nomogram was associated with progression-free survival (PFS) (p = 0.0152) and intracranial progression-free survival (iPFS) (p = 0.0052) but not overall survival (OS) (p = 0.4894). CONCLUSION: A radiomics nomogram model for predicting the intracranial efficacy of ICIs in SCLC patients with BMs can provide suggestions for exploring individual-based treatments for patients.

Noninvasive radiomic biomarkers for predicting pseudoprogression and hyperprogression in patients with non-small cell lung cancer treated with immune checkpoint inhibition.

This study aimed to develop a computed tomography (CT)-based radiomics model capable of precisely predicting hyperprogression and pseudoprogression (PP) in patients with non-small cell lung cancer (NSCLC) treated with immunotherapy. We retrospectively analyzed 105 patients with NSCLC, from three institutions, treated with immune checkpoint inhibitors (ICIs) and categorized them into training and independent testing set. Subsequently, we processed CT scans with a series of image-preprocessing techniques, and 6008 radiomic features capturing intra- and peritumoral texture patterns were extracted. We used the least absolute shrinkage and selection operator logistic regression model to select radiomic features and construct machine learning models. To further differentiate between progressive disease (PD) and hyperprogressive disease (HPD), we developed a new radiomics model. The logistic regression (LR) model showed optimal performance in distinguishing PP from HPD, with areas under the receiver operating characteristic curve (AUC) of 0.95 (95% confidence interval [CI]: 0.91-0.99) and 0.88 (95% CI: 0.66-1) in the training and testing sets, respectively. Additionally, the support vector machine model showed optimal performance in distinguishing PD from HPD, with AUC of 0.97 (95% CI: 0.93-1) and 0.87 (95% CI: 0.72-1) in the training and testing sets, respectively. Kaplan‒Meier survival curves showed clear stratification between PP predicted by the radiomics model and true progression (HPD and PD) (hazard ratio = 0.337, 95% CI: 0.200-0.568, p < 0.01) in overall survival. Our study demonstrates that radiomic features extracted from baseline CT scans are effective in predicting PP and HPD in patients with NSCLC treated with ICIs.

Optimum fractionation of radiation to combine PD-1 blockade.

The optimum fractionation of radiation to combine with immune checkpoint blockade is controversial. This study aimed to investigate the fractionated radiation to maximize immunity during combination therapy. To evaluate the abscopal effect, C57BL/6 hPD-1 knock-in mice bearing two syngeneic contralateral MC38 murine colon cancer tumors were treated with four distinct regimens of radiotherapy. Three fractions of 8 Gy were chosen as the optimal fractionation to combine with anti-PD-1 as the optimal fractionation for maximizing immunity. Anti-PD-1 administration enhanced both local and systemic antitumor immunity in a cytotoxic T cell-dependent manner. Meanwhile, the spleen exhibited decreased myeloid-derived suppressor cells (MDSCs) under combination treatment. Furthermore, RNA-sequencing revealed significantly increased tumor necrosis factor (TNF) receptors and cytokines associated with lymphocyte infiltration in the combining group. Here we demonstrate that the hypofractionation of 8 Gy × 3f was the optimum-fractionated dosage to maximize immunity, and the combination of anti-PD-1 showed promising results in boosting abscopal effect. Underlying mechanisms may include the activation of T cells and the reduction of MDSCs, which is achieved through the action of TNF and related cytokines. This study indicates a radioimmunotherapy dosage painting method that can be developed to overcome present limitations in tumor immunosuppression.

CD155 promotes radioresistance and malignancy of esophageal cancer by regulating Hippo-YAP pathway.

The expression of CD155 has been observed to increase in various human cancers, but its role in the development of esophageal cancer (EC) is unclear. Radiotherapy is one of the primary therapeutic options for EC. However, radioresistance is still a severe issue in EC treatment. In this study, Oncomine database mining, immunohistochemistry, and survival analysis showed that higher expression of CD155 in patients with EC than in healthy controls. In vitro and in vivo, we found for the first time that irradiation increased the expression of CD155 in EC cells. CD155 knockdown inhibited cell proliferation and migration and tumor formation, and significantly increased radiosensitivity in EC. The in vivo model with high CD155 expression significantly promoted the proliferation and migration of EC cells. Furthermore, increased CD155 expression was associated with poor prognosis in patients with EC. CD155 regulated the Hippo-Yap pathway, influencing cell proliferation and migration. Therefore, CD155 is essential for the proliferation, migration, and radioresistance of EC. CD155 inhibition may be a viable strategy for improving radiation treatment efficacy in individuals with EC.

Treatment-related lymphopenia impairs the treatment response of anti-PD-1 therapy in esophageal squamous cell carcinoma.

PURPOSE: Great interest has been focused on radiotherapy (RT) with immunotherapy. We sought to investigate the significance of treatment-related lymphopenia (TRL) in esophageal squamous cell carcinoma (ESCC) patients receiving anti-PD-1 therapy and the factors associated with TRL, especially RT. METHODS: 167 patients with ESCC that received anti-PD-1 therapy wereidentified, 72 of them received RT. TRL was defined as absolute lymphocyte count (ALC) < 0.50 × 109 cells/L at the start of immunotherapy and/or during immunotherapy. Depending on the presence of TRL, patients were divided into two groups. RESULTS: At median follow-up of 6.5 months, the ORR of patients without TRL (n = 65; 38.9%) reached 29.4% while patients (n = 102; 61.1%) with TRL was 23.1%, DCR was 81.4% and 75.4% respectively. Patients with TRL showed shorter progression-free survival (PFS) compared with patients without TRL (median PFS: 4.8 vs. 7.0 months, P = 0.009). Multivariate analyses confirmed TRL is an independent prognostic factor for poorer PFS (HR, 1.855; P = 0.008). RT significantly increased the occurrence of TRL (OR = 0.502, P = 0.035). Patients receiving ICIs < 33.5 days after RT showed a poorer PFS compared to that ≥ 33.5 days (median PFS: 4.1 vs 7.3 months, P = 0.008). The explanation is that patients with shorter time interval had a higher incidence of TRL (P = 0.028). CONCLUSION: TRL was an independent predictor of poor outcomes in ESCC patients receiving anti-PD-1 therapy. RT was a key factor affecting TRL. A shorter time interval of < 33.5 days between RT and anti-PD-1 therapy can lead to a poor prognosis by increasing the occurrence of TRL.

Efficacy of single-site radiotherapy plus PD-1 inhibitors vs PD-1 inhibitors for oligometastatic non-small cell lung cancer.

PURPOSE: Growing numbers of clinical trials test the efficacy of radiotherapy (RT) plus immune checkpoint inhibitors (ICIs), but the number of irradiated sites is not uniform. We aimed to evaluate the efficacy of single-site RT plus immunotherapy in oligometastatic non-small cell lung cancer (NSCLC) with smaller disease burdens and low tumor heterogeneity. METHODS: We retrospectively identified oligometastatic NSCLC (< 4 metastatic sites) patients treated with PD-1 pathway inhibitors with or without RT to a single lesion in our institution between 2018 and 2020. The primary endpoints were the best objective response rate (ORR) and progression-free survival (PFS). RESULTS: Of the 152 patients enrolled, 93 and 59 were identified as the ICI alone group and the ICI plus RT group, respectively. The addition of RT to ICI therapy significantly increased the best ORR from 31.2% to 50.8% (p = 0.015). The out-of-field (abscopal effect) response rate could reach 41.3% (95%CI 26.5%-56.1%) in the ICI plus RT group. Median PFS was 8.9 months (95%CI 4.7-13.1 months) with ICI alone versus 13.8 months (95%CI 9.5-18.1 months) with ICI plus radiotherapy (hazard ratio [HR] 0.556; p = 0.035). In an exploratory subgroup analysis of PFS, the addition of RT brought greater benefits in patients aged < 65 years (p = 0.016), patients with ECOG PS = 0 (p = 0.048), and patients with 1-2 metastatic sites (p = 0.024). No unexpected adverse events or significantly increased toxicities were observed in the experimental arm. CONCLUSION: Single-site RT plus anti-PD-1 inhibitors significantly increased systemic responses and improved survival outcomes in oligometastatic NSCLC patients.

Efficacy and Safety of Anti-PD-1 Plus Anlotinib in Patients With Advanced Non-Small-Cell Lung Cancer After Previous Systemic Treatment Failure-A Retrospective Study.

BACKGROUND: Pre-clinical and clinical evidences support that simultaneous blockade of programmed death-1 (PD-1) and vascular endothelial growth factor receptor (VEGFR) can enhance antigen-specific T-cell migration, and show tolerable toxicity with favorable antitumor activity in patients. In this study, we aimed to assess the safety and efficacy of anlotinib, a novel multitarget tyrosine kinase inhibitor for VEGFR, platelet-derived growth receptor (PDGFR), and the stem cell-factor receptor (c-Kit), combined with anti-PD-1 treatment in patients with advanced NSCLC. METHODS: Sixty-seven patients with previously treated advanced NSCLC receiving anti-PD-1 agents concomitant with anlotinib were retrospectively enrolled in an IRB approved study. Anti-PD-1 agents including pembrolizumab, nivolumab, camrelizumab, toripalimab, sintilimab, and tislelizumab were administered every two or three weeks until disease progression or unacceptable toxicity was reached. Anlotinib was administered orally once daily on days 1-14 of a 21-day cycle. The safety and tolerability of the combination treatment were assessed by the incidence of adverse events. The efficacy of the treatment was assessed by the tumor response and survival. RESULTS: With a median follow-up period of 8.7 months, treatment-related adverse events occurred in 85% (57/67) of patients and grade 3-4 adverse events were observed in 27 patients (40%). No unexpected adverse events or significantly increased toxicities were observed. Complete response was not observed, 19 patients had partial response (28.4%), 39 had stable disease (58.2%) and 9 had progressive disease (13.4%). The overall response (ORR) and disease control rates (DCR) were 28.4% and 86.6%, respectively. The median progression-free survival (PFS) was 6.9 months (95% CI, 5.5-8.3 months) and overall survival (OS) was 14.5 months (95% CI, 10.9-18.1 months). The benefit of anti-PD-1 plus anlotinib was also observed in patients with EGFR mutation positive, liver metastases and brain metastases. CONCLUSION: Anti-PD-1 treatment concomitant with anlotinib has tolerable toxicity and favorable antitumor activity in patients with previously treated advanced NSCLC. Our results add to the growing evidence that supports the benefits of combining immunotherapy with antiangiogenic drugs. This combination could be further evaluated with or without chemotherapy, since no additional toxicity was observed in the combination treatment.

The role of exosomes in tumour immunity under radiotherapy: eliciting abscopal effects?

As a curative treatment of localized tumours or as palliative control, radiotherapy (RT) has long been known to kill tumour cells and trigger the release of proinflammatory factors and immune cells to elicit an immunological response to cancer. As a crucial part of the tumour microenvironment (TME), exosomes, which are double-layered nanometre-sized vesicles, can convey molecules, present antigens, and mediate cell signalling to regulate tumour immunity via their contents. Different contents result in different effects of exosomes. The abscopal effect is a systemic antitumour effect that occurs outside of the irradiated field and is associated with tumour regression. This effect is mediated through the immune system, mainly via cell-mediated immunity, and results from a combination of inflammatory cytokine cascades and immune effector cell activation. Although the abscopal effect has been observed in various malignancies for many years, it is still a rarely identified clinical event. Researchers have indicated that exosomes can potentiate abscopal effects to enhance the effects of radiation, but the specific mechanisms are still unclear. In addition, radiation can affect exosome release and composition, and irradiated cells release exosomes with specific contents that change the cellular immune status. Hence, fully understanding how radiation affects tumour immunity and the interaction between specific exosomal contents and radiation may be a potential strategy to maximize the efficacy of cancer therapy. The optimal application of exosomes as novel immune stimulators is under active investigation and is described in this review.