Immune escape mechanisms in non-small cell lung cancer (NSCLC) can disrupt every step of the anti-cancer immune response. In recent years, an increased understanding of the specific mechanisms fueling immune escape has allowed for the development of numerous immunotherapeutic treatments that have been introduced into the clinical practice. The advent of immunotherapy has dramatically changed the current treatment landscape of advanced or metastatic NSCLC because of its durable efficacy and manageable toxicity. In this review, we will first present a brief overview of recent evidence on immune escape mechanisms in NSCLC. We will then discuss the current promising immunotherapeutic strategies in advanced or metastatic NSCLC tumors.
Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Lung Neoplasms/drug therapy* ; Immunotherapy

Humans ; Nitric Oxide ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Lung Neoplasms ; Lung ; Nitric Oxide Synthase ; Macrophages, Alveolar ; Pulmonary Alveoli

BACKGROUND: Immune checkpoint inhibitors (ICIs) are standard treatments for advanced non-small cell lung cancer (NSCLC); however, evidence regarding their relative efficacy and safety is lacking. This study compared the efficacy and safety of all currently available ICI treatments in patients with advanced NSCLC to identify optimal treatment regimens. METHODS: PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, and Embase databases were systematically searched for randomized controlled trials (RCTs) published up to August 8, 2022. The primary outcomes were overall survival (OS) and progression-free survival (PFS). Secondary outcomes included objective response rate (ORR) and adverse events (AEs). RESULTS: Forty RCTs involving 22,526 patients were selected, and a total of 26 treatment regimens were identified. Treatment with anti-programmed cell death protein-1 (anti-PD-1) provided superior OS compared with anti-programmed death ligand 1 (anti-PD-L1) treatment. ICIs plus platinum-based chemotherapy (PBC) were superior to ICIs treatment alone, although the addition of PBC increased treatment toxicity. Cemiplimab ranked first for OS and lowest for any-grade AEs in advanced NSCLC patients without PD-L1 selection. Regarding grade ≥3 AEs, the toxicity of ICI monotherapy or ICI-ICI combination was consistently lower than that of the other treatments. For patients without PD-L1 selection, cemiplimab showed the best OS, pembrolizumab plus docetaxel (Pem-DXT) showed the best PFS, and atezolizumab plus bevacizumab and PBC (Atezo-Beva-PBC) showed the best ORR. Pembrolizumab plus PBC and Atezo-Beva-PBC were the most likely optimal treatments for OS and PFS in patients with PD-L1 expression <1%, respectively. In patients with PD-L1 expression ≥1%, treatment regimens containing anti-PD-1 provided superior OS benefits compared with those of anti-PD-L1 treatment, and sintilimab plus PBC (Sint-PBC) provided the best OS benefit; as for PFS, ICI plus PBC consistently showed greater PFS benefits than ICI or PBC alone. For patients with anti-PD-L1 expression of 1-49%, camrelizumab plus PBC provided the best benefit for OS and PFS among included treatment. Durvalumab-tremelimumab-PBC and Atezo-Beva-PBC respectively presented the highest OS and PFS for patients with PD-L1 expression ≥50%. Moreover, cemiplimab and Atezo-Beva-PBC yielded the best OS and PFS benefits as first-line treatments for patients with advanced NSCLC, respectively. CONCLUSIONS: Although ICI plus PBC likely resulted in superior survival outcomes compared to ICI treatment alone, it did increase toxicity. Cemiplimab presented a well-balanced efficacy and safety profile in advanced NSCLC treatment. Our findings with the current ICIs comparisons will aid future trials for cancer immunotherapy. REGISTRATION PROSPERO, https://www.crd.york.ac.uk/PROSPERO/ , CRD42022323879.
Humans ; Immune Checkpoint Inhibitors/adverse effects* ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Network Meta-Analysis ; Lung Neoplasms/drug therapy*

BACKGROUND: Lung cancer is the second most common cancer worldwide, with non-small-cell lung cancer (NSCLC) accounting for the majority of cases. Patients with NSCLC have achieved great survival benefits from immunotherapies targeting immune checkpoints. Glucocorticoids (GCs) are frequently used for palliation of cancer-associated symptoms, as supportive care for non-cancer-associated symptoms, and for management of immune-related adverse events (irAEs). The aim of this study was to clarify the safety and prognostic significance of glucocorticoid use in advanced patients with NSCLC treated with immune checkpoint inhibitors (ICIs). METHODS: The study searched publications from PubMed, Embase, Cochrane Library, Web of Science, China Biology Medicine disc, Chinese National Knowledge Infrastructure, Wanfang Data, and Chinese Science and Technology Journal Database up to March 1st, 2022, and conducted a meta-analysis to assess the effects of glucocorticoid use on overall survival (OS) and progression-free survival (PFS) in NSCLC patients treated with ICIs through the available data. The study calculated the pooled hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: This study included data from 25 literatures that were mainly retrospective, with 8713 patients included. Patients taking GCs had a higher risk for tumor progression and death compared with those not taking GCs (PFS: HR = 1.57, 95% CI: 1.33-1.86, P <0.001; OS: HR = 1.63, 95% CI: 1.41-1.88, P <0.001). GCs used for cancer-associated symptoms caused an obviously negative effect on both PFS and OS (PFS: HR = 1.74, 95% CI: 1.32-2.29, P <0.001; OS: HR = 1.76, 95% CI: 1.52-2.04, P <0.001). However, GCs used for irAEs management did not negatively affect prognosis (PFS: HR = 0.68, 95% CI: 0.46-1.00, P = 0.050; OS: HR = 0.53, 95% CI: 0.34-0.83, P = 0.005), and GCs used for non-cancer-associated indications had no effect on prognosis (PFS: HR = 0.92, 95%CI: 0.63-1.32, P = 0.640; OS: HR = 0.91, 95% CI: 0.59-1.41, P = 0.680). CONCLUSIONS In advanced NSCLC patients treated with ICIs, the use of GCs for palliation of cancer-associated symptoms may result in a worse PFS and OS, indicating that they increase the risk of tumor progression and death. But, in NSCLC patients treated with ICIs, the use of GCs for the management of irAEs may be safe, and the use of GCs for the treatment of non-cancer-associated symptoms may not affect the ICIs' survival benefits. Therefore, it is necessary to be careful and evaluate indications rationally before administering GCs in individualized clinical management.
Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Glucocorticoids/therapeutic use* ; Immune Checkpoint Inhibitors/therapeutic use* ; Lung Neoplasms/drug therapy* ; Retrospective Studies

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.
Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Lung Neoplasms/drug therapy* ; B7-H1 Antigen/therapeutic use* ; Retrospective Studies ; Programmed Cell Death 1 Receptor ; Tomography, X-Ray Computed ; Immunotherapy

A 54-year-old, non-smoking woman was diagnosed as stage ⅣB adenocarcinoma with widespread bone metastasis (cT4N2M1c) in the First Affiliated Hospital, Zhejiang University School of Medicine. Immunohistochemistry result showed the presence of anaplastic lymphoma kinase (ALK) gene rearrangement; next-generation sequencing (NGS) indicated EML4-ALK fusion (E6:A20) with concurrent CCDC148-ALK (C1:A20), PKDCC-ALK (Pintergenic:A20)and VIT-ALK (V15:A20) fusions. After 32 weeks of alectinib treatment, the patient complained cough and exertional chest distress but had no sign of infection. Computed tomography (CT) showed bilateral diffuse ground glass opacities, suggesting a diagnosis of alectinib-related interstitial lung disease (ILD). Following corticosteroid treatment and discontinuation of alectinib, clinical presentations and CT scan gradually improved, but the primary lung lesions enlarged during the regular follow-up. The administration of crizotinib was then initiated and the disease was stable for 25 months without recurrence of primary lung lesions and ILD.
Female ; Humans ; Middle Aged ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Crizotinib/therapeutic use* ; Lung Neoplasms/drug therapy* ; Anaplastic Lymphoma Kinase/therapeutic use* ; Lung Diseases, Interstitial/diagnosis*

BACKGROUND: Immune checkpoint inhibitors (ICIs) therapy lacks viable biomarkers for response and prognosis prediction. This study aimed to investigate the correlation of peripheral blood laboratory test results combined with lymphocyte subset ratios to the response and prognosis of immunotherapy in advanced lung cancer. METHODS: Advanced lung cancer patients admitted to West China Hospital, Sichuan University from May 2021 to July 2023 were prospectively enrolled in this study. Clinical data and peripheral blood were collected before and after treatment and lymphocyte subset ratios were analyzed by flow cytometry. Logistic regression was used to identify factors correlated to ICIs treatment efficacy. Cox modeling was applied to explore the prognostic factors. RESULTS: Logistic regression showed that the baseline level of transcription factor T cell factor 1 (TCF1)+CD8+ T cell ratio and peripheral white blood cell (WBC) count, lymphocyte percentage, cytokeratin 19 fragment (CYFRA21-1) after 1 cycle of ICIs treatment were the potential predictors for ICIs response (P<0.05). Cox regression analysis showed that the baseline level of TCF1+CD8+ T cell ratio (P=0.020) and peripheral WBC count after 1 cycle of ICIs treatment (P<0.001) were prognostic factors. CONCLUSIONS Patients with high baseline TCF1+CD8+ T cell ratio combined with low WBC counts and low CYFRA21-1 level after 1 cycle of ICIs treatment are more likely to benefit from ICIs therapy.
Humans ; Lung Neoplasms/drug therapy* ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; T Cell Transcription Factor 1/genetics* ; Prognosis ; CD8-Positive T-Lymphocytes ; Immunotherapy

RNA-based next-generation sequencing (NGS) has been recommended as a method for detecting fusion genes in non-small cell lung cancer (NSCLC) according to clinical practice guidelines and expert consensus. The primary targetable alterations in NSCLC consist of gene mutations and fusions, making the detection of gene mutations and fusions indispensable for assessing the feasibility of targeted therapies. Currently, the integration of DNA-based NGS and RNA-based NGS allows for simultaneous detection of gene mutations and fusions and has been partially implemented in clinical practice. However, standardized guidelines and criteria for the significance, application scenarios, and quality control of RNA-based NGS in fusion gene detection are still lacking in China. This consensus aims to provide further clarity on the practical significance, application scenarios, and quality control measures of RNA-based NGS in fusion gene detection. Additionally, it offers guiding recommendations to facilitate the clinical implementation of RNA-based NGS in the diagnosis and treatment of NSCLC, ultimately maximizing the benefits for patients from fusion gene detection.
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Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Lung Neoplasms/drug therapy* ; RNA ; Consensus ; High-Throughput Nucleotide Sequencing/methods*

BACKGROUND: For resectable non-small cell lung cancer (NSCLC), the CheckMate-816 study demonstrated that neoadjuvant chemoimmunotherapy increased the rate of complete pathologic response (pCR) by 21.8% compared with chemotherapy alone and resulted in a significant benefit in event-free survival (EFS). This study aimed to investigate the safety and feasibility of this approach in the real world. METHODS: Clinical data from patients with NSCLC who underwent surgery after neoadjuvant chemoimmunotherapy or chemotherapy alone in two centers were analyzed retrospectively, and subgroup analyses were performed for the chemoimmunotherapy group according to treatment cycle. The primary study endpoints were EFS and major pathologic response (MPR), and the secondary study endpoints were pCR, overall survival (OS), treatment-related adverse events (TRAEs), and surgery-related metrics. RESULTS: As of April 2023, 89 patients had been enrolled, including 54 in the chemoimmunotherapy group and 35 in the chemotherapy alone group. MPR was achieved in 31 (57.4%) and 5 (14.3%) patients in the chemoimmunotherapy group and chemotherapy alone group, respectively (OR=8.09, 95%CI: 2.72-24.04, P<0.001); pCR was achieved in 25 (46.3%) patients in the chemoimmunotherapy group and no patient in the chemotherapy alone group (P<0.001). The median follow-up time was 22.1 months. At 24 months, the EFS rates of the chemoimmunotherapy group and the chemotherapy alone group were 77.0% and 56.7%, respectively (P=0.026), and the OS rates were 87.1% and 67.7%, respectively (P=0.020). In the neoadjuvant chemoimmunotherapy group, there was no significant difference between the 1-2 cycles and 3-5 cycles groups in terms of operation time, intraoperative blood loss, and postoperative complications. CONCLUSIONS Neoadjuvant chemoimmunotherapy was more effective than chemotherapy alone and did not increase the risk associated with surgery. An increase in the number of cycles of neoadjuvant chemoimmunotherapy had no significant effect on the difficulty of surgery.
Humans ; Neoadjuvant Therapy ; Carcinoma, Non-Small-Cell Lung/surgery* ; Retrospective Studies ; Lung Neoplasms/surgery* ; Immunotherapy

BACKGROUND: In recent years, immunotherapy represented by programmed cell death 1 (PD-1)/programmed cell death ligand 1 (PD-L1) immunosuppressants has greatly changed the status of non-small cell lung cancer (NSCLC) treatment. PD-L1 has become an important biomarker for screening NSCLC immunotherapy beneficiaries, but how to easily and accurately detect whether PD-L1 is expressed in NSCLC patients is a difficult problem for clinicians. The aim of this study was to construct a Nomogram prediction model of PD-L1 expression in NSCLC patients based on 18F-fluorodeoxy glucose (18F-FDG) positron emission tomography/conputed tomography (PET/CT) metabolic parameters and to evaluate its predictive value. METHODS: Retrospective collection of 18F-FDG PET/CT metabolic parameters, clinicopathological information and PD-L1 test results of 155 NSCLC patients from Inner Mongolia People's Hospital between September 2016 and July 2021. The patients were divided into the training group (n=117) and the internal validation group (n=38), and another 51 cases of NSCLC patients in our hospital between August 2021 and July 2022 were collected as the external validation group according to the same criteria. Then all of them were categorized according to the results of PD-L1 assay into PD-L1+ group and PD-L1- group. The metabolic parameters and clinicopathological information of patients in the training group were analyzed by univariate and binary Logistic regression, and a Nomogram prediction model was constructed based on the screened independent influencing factors. The effect of the model was evaluated by receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA) in both the training group and the internal and external validation groups. RESULTS: Binary Logistic regression analysis showed that metabolic tumor volume (MTV), gender and tumor diameter were independent influences on PD-L1 expression. Then a Nomogram prediction model was constructed based on the above independent influences. The ROC curve for the model in the training group shows an area under the curve (AUC) of 0.769 (95%CI: 0.683-0.856) with an optimal cutoff value of 0.538. The AUC was 0.775 (95%CI: 0.614-0.936) in the internal validation group and 0.752 (95%CI: 0.612-0.893) in the external validation group. The calibration curves were tested by the Hosmer-Lemeshow test and showed that the training group (χ2=0.040, P=0.979), the internal validation group (χ2=2.605, P=0.271), and the external validation group (χ2=0.396, P=0.820) were well calibrated. The DCA curves show that the model provides clinical benefit to patients over a wide range of thresholds (training group: 0.00-0.72, internal validation group: 0.00-0.87, external validation group: 0.00-0.66). CONCLUSIONS The Nomogram prediction model constructed on the basis of 18F-FDG PET/CT metabolic parameters has greater application value in predicting PD-L1 expression in NSCLC patients.
Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Positron Emission Tomography Computed Tomography ; Lung Neoplasms/drug therapy* ; Fluorodeoxyglucose F18/therapeutic use* ; Nomograms ; Retrospective Studies ; B7-H1 Antigen/metabolism* ; Glucose/therapeutic use* ; Positron-Emission Tomography/methods*