BACKGROUND: The application of programmed cell death 1 (PD-1)/programmed cell death ligand 1 (PD-L1) antibodies has greatly improved the clinical outcomes of lung cancer patients. Here, we retrospectively analyzed the efficacy of PD-1 antibody therapy in locally advanced non-surgical or metastatic lung cancer patients, and preliminarily explored the correlation between peripheral blood biomarkers and clinical responses. METHODS: We conducted a single center study that included 61 IIIA-IV lung cancer patients who received PD-1 antibody treatment from March 2020 to December 2021, and collected the medical record data on PD-1 antibody first-line or second-line treatment. The levels of multiple Th1 and Th2 cytokines in the patient's peripheral blood serum, as well as the phenotype of peripheral blood T cells, were detected and analyzed. RESULTS: All the patients completed at least 2 cycles of PD-1 monoclonal antibody treatment. Among them, 42 patients (68.9%) achieved partial response (PR); 7 patients (11.5%) had stable disease (SD); and 12 patients (19.7%) had progressive disease (PD). The levels of peripheral blood interferon gamma (IFN-γ) (P=0.023), tumor necrosis factor α (TNF-α) (P=0.007) and interleukin 5 (IL-5) (P=0.002) before treatment were higher in patients of the disease control rate (DCR) (PR+SD) group than in the PD group. In addition, the decrease in absolute peripheral blood lymphocyte count after PD-1 antibody treatment was associated with disease progression (P=0.023). Moreover, the levels of IL-5 (P=0.0027) and IL-10 (P=0.0208) in the blood serum after immunotherapy were significantly increased compared to baseline. CONCLUSIONS Peripheral blood serum IFN-γ, TNF-α and IL-5 in lung cancer patients have certain roles in predicting the clinical efficacy of anti-PD-1 therapy. The decrease in absolute peripheral blood lymphocyte count in lung cancer patients is related to disease progression, but large-scale prospective studies are needed to further elucidate the value of these biomarkers.
Humans ; Lung Neoplasms/metabolism* ; Interleukin-5/therapeutic use* ; Tumor Necrosis Factor-alpha/therapeutic use* ; Retrospective Studies ; Programmed Cell Death 1 Receptor ; Biomarkers ; Immunotherapy ; Disease Progression ; B7-H1 Antigen

Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are currently the first-line standard of care for patients with non-small cell lung cancer (NSCLC) that harbor EGFR mutations. Nevertheless, resistance to EGFR-TKIs is inevitable. In recent years, although immune checkpoint inhibitors (ICIs) have significantly shifted the treatment paradigm in advanced NSCLC without driver mutation, clinical benefits of these agents are limited in patients with EGFR-mutated NSCLC. Compared with wild-type tumors, tumors with EGFR mutations show more heterogeneity in the expression level of programmed cell death ligand 1 (PD-L1), tumor mutational burden (TMB), and other tumor microenvironment (TME) characteristics. Whether ICIs are suitable for NSCLC patients with EGFR mutations is still worth exploring. In this review, we summarized the clinical data with regard to the efficacy of ICIs in patients with EGFR-mutated NSCLC and deciphered the unique TME in EGFR-mutated NSCLC.
.
Humans ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; ErbB Receptors/metabolism* ; Immunotherapy ; Mutation ; B7-H1 Antigen/genetics* ; Protein Kinase Inhibitors/pharmacology* ; Tumor Microenvironment

Humans ; Carcinoma, Hepatocellular/drug therapy* ; Liver Neoplasms/drug therapy* ; Biological Products/therapeutic use* ; B7-H1 Antigen

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

Objective To explore the effect of formononetin on immunity of mice with transplanted H22 hepatocarcinoma. Methods Male C57BL/6 mice were subcutaneously inoculated with H22 cells (4×10⁵) to establish a tumor-bearing mouse model. The mice were treated with formononetin [10 mg/(kg.d)] or [50 mg/(kg.d)] for 28 days, and then the tumor inhibition rate was calculated. Carrilizumab was used as a positive control drug. The expressions of CD8, granzyme B and forkbox transcription factor 3 (FOXP3) in HCC tissues were analyzed by immunohistochemical staining. The mRNA and protein expression of programmed cell death protein 1 (PD-1) and its ligand 1 (PD-L1) in HCC tissues were detected by real-time PCR or Western blot analysis, respectively. The serum levels of interleukin-10 (IL-10) and transforming growth factor-β (TGF-β) were detected by ELISA. Results Formononetin increased the tumor inhibition rate and the positive rate of CD8 and granzyme B staining in tumor-bearing mice. There was no significant difference in the positive rate of FOXP3 staining in tumor tissues of mice in each group. Formononetin decreased the levels of IL-10 and TGF-β in serum of tumor-bearing mice, and decreased the relative expression of mRNA and protein of PD-1 and PD-L1 in tumor tissue of tumor-bearing mice. Conclusion Formononetin can activate CD8⁺ T cells and reduce the release of immunosuppressive factors in regulatory T cells by blocking PD-1/PD-L1 pathway and play an antitumor role.
Male ; Animals ; Mice ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/genetics* ; Interleukin-10/genetics* ; B7-H1 Antigen ; Granzymes/genetics* ; Programmed Cell Death 1 Receptor/metabolism* ; CD8-Positive T-Lymphocytes/metabolism* ; Mice, Inbred C57BL ; Transforming Growth Factor beta/genetics* ; RNA, Messenger/metabolism* ; Forkhead Transcription Factors/genetics* ; Cell Line, Tumor

OBJECTIVE: To observe the levels of soluble programmed cell death protein 1 (sPD-1) and soluble programmed cell death ligand 1 (sPD-L1) in peripheral blood of lymphoma patients, and reveal their clinical significances. METHODS: The peripheral blood specimens and clinical data of 64 newly diagnosed lymphoma patients and 30 healthy volunteers were collected. The levels of sPD-1 and sPD-L1 were detected by enzyme-linked immunosorbent assay (ELISA), and their correlations with clinical characteristics of the patients including pathological type, stage, lactate dehydrogenase (LDH) level, T cell subsets were analyzed. RESULTS: The levels of both sPD-1 and sPD-L1 in peripheral blood of lymphoma patients were higher than those of normal controls (P <0.05). There were no significant differences in sPD-1 and sPD-L1 levels in peripheral blood between Hodgkin lymphoma and non-Hodgkin lymphoma patients. Different pathological subtypes of lymphoma had different levels of sPD-1. The level of sPD-1 in patients with T-cell lymphoma was higher than that in patients with B-cell lymphoma (P =0.001). The levels of both sPD-1 and sPD-L1 in patients with Ann Arbor stage III and IV were higher than those in patients with stage I and II (P <0.05). The level of sPD-L1 in patients with abnormally increased LDH was higher than that in patients with normal LDH (P =0.001), but there was no significant difference in sPD-1 level. T cell subset analysis showed that the level of sPD-L1 was negatively correlated to CD4⁺ T cell content (r =-0.265). CONCLUSION The levels of sPD-1 and sPD-L1 in peripheral blood of lymphoma patients are related to the pathological type, Ann Arbor stage, LDH content and T cell subsets, and will be potential biomarkers in predicting the prognosis of lymphoma.
Humans ; Clinical Relevance ; Prognosis ; T-Lymphocyte Subsets/metabolism* ; Lymphoma, T-Cell, Peripheral ; Enzyme-Linked Immunosorbent Assay ; B7-H1 Antigen/metabolism*

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*

Immunotherapies based on immune checkpoint blockade (ICB) have significantly improved patient outcomes and offered new approaches to cancer therapy over the past decade. To date, immune checkpoint inhibitors (ICIs) of CTLA-4 and PD-1/PD-L1 represent the main class of immunotherapy. Blockade of CTLA-4 and PD-1/PD-L1 has shown remarkable efficacy in several specific types of cancers, however, a large subset of refractory patients presents poor responsiveness to ICB therapy; and the underlying mechanism remains elusive. Recently, numerous studies have revealed that metabolic reprogramming of tumor cells restrains immune responses by remodeling the tumor microenvironment (TME) with various products of metabolism, and combination therapies involving metabolic inhibitors and ICIs provide new approaches to cancer therapy. Nevertheless, a systematic summary is lacking regarding the manner by which different targetable metabolic pathways regulate immune checkpoints to overcome ICI resistance. Here, we demonstrate the generalized mechanism of targeting cancer metabolism at three crucial immune checkpoints (CTLA-4, PD-1, and PD-L1) to influence ICB therapy and propose potential combined immunotherapeutic strategies co-targeting tumor metabolic pathways and immune checkpoints.
Humans ; Antibodies, Monoclonal/pharmacology* ; B7-H1 Antigen/antagonists & inhibitors* ; CTLA-4 Antigen/antagonists & inhibitors* ; Immune Checkpoint Inhibitors/pharmacology* ; Neoplasms/drug therapy* ; Programmed Cell Death 1 Receptor ; Tumor Microenvironment

Esophageal carcinoma is one of the most common malignant tumors in the world, with incidence and mortality rankings of 7th and 6th, respectively. In recent years, immunotherapy represented by immune checkpoint inhibitors of programmed death-1 and programmed death ligand 1 (PD-L1) has been introduced into clinical practice and has changed the treatment status of esophageal cancer. Although immunotherapy has provided long-term survival benefits for patients with advanced esophageal cancer and high pathological response rates in the neoadjuvant therapy, only a few of the patients have satisfactory therapeutic outcomes. Therefore, effective biomarkers for predicting immunotherapeutic effects are urgently needed to identify those patients who could benefit from immunotherapy. In this paper, we mainly discuss recent research advances of biomarkers related to the immunotherapy of esophageal cancer and the clinical application prospects of these biomarkers.
Humans ; Biomarkers ; Esophageal Neoplasms/therapy* ; Immunotherapy ; B7-H1 Antigen ; Biomarkers, Tumor

OBJECTIVE: To compare the consistency of programmed cell death 1-ligand 1 (PD-L1, clone E1L3N, 22C3, SP263) in different immunohistochemical staining methods. METHODS: The first step was to select the optimal process: The PD-L1(clone E1L3N) antibody recommended process, self-built process ①, self-built process ② and self-built process ③ were used to perform immunohistochemical staining in 5 cases of tonsil tissue. The quality of all slides was scored by expert pathologists (0-6 points). The process with the highest score was selected. The second step was to compare the consistency between the optimal procedure and the two standard procedures. Thirty-two cases of lung non-small cell carcinoma diagnosed by pathology in Peking University First Hospital in the past two years were randomly selected. The 32 cases were stained in parallel with the SP263 and 22C3 standard procedures, and all stained slides were scored by specialized pathologists for tumor proportion score (TPS). The scoring results were grouped according to < 1%, ≥1% to < 10%, ≥10% to < 50%, and ≥50%. The consistency of PD-L1 detection antibody clone E1L3N and 22C3, E1L3N and SP263 staining results was analyzed. RESULTS: Tonsil stained slides scores (0-6 points) were as follows: The recommended protocol was 5, 5, 5, 5 and 5. The self-built process ① was 5, 6, 6, 5 and 6. The self-built process ② was 4, 4, 4, 4 and 4.The self-built process ③ was 3, 3, 3, 3 and 3. The self-built process ① was the best with the highest score. The TPSs of 32 non small cell lung carcinoma (NSCLC) cases were as follows: Of self-built process ①, 6 cases were lower than 1%, 5 cases were from 1% to 10%, 10 cases were from 10% to 50%, and 11 cases were higher than 50%; of 22C3 standard procedure, 5 cases were lower than 1%, 3 cases were from 1% to 10%, 13 cases were from 10% to 50%, 11 cases were higher than 50%; of SP263 standard procedure, 7 cases were lower than 1%, 4 cases were from 1% to 10%, 11 cases were from 10% to 50%, 10 cases were higher than 50%. The results of the consistency test were as follows: The κ value for self-built process ① and 22C3 standard procedure was 0.736 (P < 0.001), the agreement was good; the κ value for self-built process ① and SP263 standard procedure was 0.914 (P < 0.001), the agreement was very good. CONCLUSION The immunostaining using PD-L1(E1L3N) with validated self-built staining protocol ① by Ventana Benchmark GX platform can obtain high quality of slides, and the TPSs based on these slides are in good agreement with 22C3 and SP263 standard procedures.
Humans ; Carcinoma, Non-Small-Cell Lung ; Lung Neoplasms/pathology* ; Immunohistochemistry ; B7-H1 Antigen/metabolism* ; Ligands ; Antibodies ; Staining and Labeling ; Apoptosis