Lung cancer is one of the most lethal tumors in the world with a 5-year overall survival rate of less than 20%, mainly including lung adenocarcinoma (LUAD). Tumor microenvironment (TME) has become a new research focus in the treatment of lung cancer. The TME is heterogeneous in composition and consists of cellular components, growth factors, proteases, and extracellular matrix. The various cellular components exert a different role in apoptosis, metastasis, or proliferation of lung cancer cells through different pathways, thus contributing to the treatment of adenocarcinoma and potentially facilitating novel therapeutic methods. This review summarizes the research progress on different cellular components with cell-cell interactions in the TME of LUAD, along with their corresponding drug candidates, suggesting that targeting cellular components in the TME of LUAD holds great promise for future theraputic development.
Humans ; Tumor Microenvironment/drug effects* ; Adenocarcinoma of Lung/drug therapy* ; Lung Neoplasms/pathology* ; Adenocarcinoma/metabolism* ; Animals ; Apoptosis/physiology*

Lung cancer is one of the most common and lethal malignancies in China. In the context of the tumor microenvironment, neutrophil extracellular traps (NETs) released by neutrophils exert a profound impact on the occurrence and progression of lung cancer. Although the exact mechanisms by which NETs promote tumor growth have not been fully elucidated, existing research has revealed their multiple roles in tumor growth, invasion, metastasis, and cancer-related thrombosis. This article will review the molecular biology mechanisms and research progress of NETs in lung cancer based on recent studies.
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Extracellular Traps/metabolism* ; Humans ; Lung Neoplasms/drug therapy* ; Neutrophils/immunology* ; Animals ; Tumor Microenvironment

The mesenchymal-epithelial transition factor (MET) gene, located on human chromosome 7, plays a crucial role in the regulation of physiological processes such as cell proliferation, migration, invasion, and angiogenesis. The MET gene is one of the key drivers in non-small cell lung cancer (NSCLC), with various forms of abnormalities including MET exon 14 (METex14) skipping mutations, MET gene amplification, MET fusions, MET protein overexpression, MET activating mutations and etc. With an increasing understanding of the mechanisms underlying MET abnormalities, therapeutic strategies targeting these abnormalities have gained significant attention, and numerous studies have confirmed that NSCLC patients with MET abnormalities can derive substantial benefits from such treatments. Lung Cancer Specialty Committee of Chinese Elderly Health Care Association organized a panel of experts to provide professional recommendations on current clinical issues in the diagnosis and treatment of MET-aberrant NSCLC, combining clinical practice experiences and evidence-based medical evidences. The "Expert Consensus on Diagnosis and Treatment of NSCLC with MET Abnormalities (2025 Version)" has been formulated to provide standardized guidances for clinical practice in China, with the aim of optimizing the treatment outcomes.
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Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Lung Neoplasms/drug therapy* ; Proto-Oncogene Proteins c-met/metabolism* ; Consensus ; Mutation

The incidence and mortality rates of lung cancer remain high, making it the leading cause of cancer-related deaths. In women, the predominant histological subtype is lung adenocarcinoma, commonly associated with epidermal growth factor receptor (EGFR) mutations, and EGFR-tyrosine kinase inhibitors (EGFR-TKIs) can significantly improve patient prognosis. Metastasis of primary lung cancer to the endometrium is extremely rare and is often misdiagnosed as a primary reproductive system tumor, and its occurrence indicates poor prognosis. This article reports a case of an advanced lung adenocarcinoma patient with EGFR mutation, who developed abnormal vaginal bleeding after EGFR-TKIs treatment failure, and biopsy confirmed endometrial metastasis. A review of similar cases is also presented.
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Humans ; Female ; ErbB Receptors/metabolism* ; Endometrial Neoplasms/genetics* ; Lung Neoplasms/genetics* ; Protein Kinase Inhibitors/therapeutic use* ; Adenocarcinoma of Lung/drug therapy* ; Treatment Failure ; Middle Aged ; Adenocarcinoma/genetics*

The study investigated the effect of casticin on the proliferation of non-small cell lung cancer(NSCLC) H322 cells and explored its molecular mechanism. Firstly, the cell counting kit-8(CCK-8) assay, colony formation assay, and EdU assay were used to detect the effect of casticin on the proliferation capacity of H322 cells under different concentrations and treatment durations. Then, glucose uptake, lactate production, extracellular pH, and oxygen consumption of H322 cells were measured before and after casticin treatment to analyze its impact on glycolysis in NSCLC H322 cells. Finally, real-time fluorescence quantitative PCR(RT-qPCR) and Western blot assays were performed to explore glycolysis-related molecules affected by casticin. The experiments showed that casticin inhibited the proliferation of NSCLC H322 cells in a dose-and time-dependent manner, with half-maximal inhibitory concentrations(IC_(50)) of 28.64 and 19.41 μmol·L~(-1) after 48 and 72 hours of treatment, respectively. Casticin also inhibited glucose uptake and lactate production in H322 cells, while increasing extracellular pH and oxygen consumption. Further investigation revealed that casticin inhibited the expression of glycolysis-related molecules, including glucose transporter 1(GLUT1), hexokinase 2(HK2), aldolase A(ALDOA), pyruvate kinase M2(PKM2), and hypoxia-inducible factor-1α(HIF-1α). Overexpression of HIF-1α was found to reverse the inhibitory effects of casticin on H322 cell proliferation and glycolysis. These findings suggest that casticin may regulate cellular glycolysis by inhibiting the expression of HIF-1α, thereby inhibiting the proliferation of NSCLC H322 cells. This study identifies a potential drug for the treatment of NSCLC and provides a direction for further research.
Humans ; Cell Proliferation/drug effects* ; Hypoxia-Inducible Factor 1, alpha Subunit/genetics* ; Carcinoma, Non-Small-Cell Lung/physiopathology* ; Lung Neoplasms/drug therapy* ; Glucose/metabolism* ; Cell Line, Tumor ; Glycolysis/drug effects*

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*

Lung squamous cell carcinoma (LSCC) accounts for approximately 30% of non-small cell lung cancer (NSCLC) cases and is the second most common histological type of lung cancer. Anaplastic lymphoma kinase (ALK)-positive NSCLC accounts for only 2%-5% of all NSCLC cases, and is almost exclusively detected in patients with lung adenocarcinoma. Thus, ALK testing is not routinely performed in the LSCC population, and the efficacy of such treatment for ALK-rearranged LSCC remains unknown. Echinoderm microtubule associated protein like 4 (EML4)-ALK (V1) and TP53 co-mutations were identified by next generation sequencing (NGS) in this patient with advanced LSCC. On December 3, 2020, Ensatinib was taken orally and the efficacy was evaluated as partial response (PR). The progression-free survival (PFS) was 19 months. When the disease progressed, the medication was changed to Loratinib. To our knowledge, Enshatinib created the longest PFS of ALK-mutant LSCC patients treated with targeted therapy since literature review. Herein, we described one case treated by Enshatinib involving a patient with both EML4-ALK and TP53 positive LSCC, and the relevant literatures were reviewed for discussing the treatment of this rare disease.
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Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Lung Neoplasms/pathology* ; Anaplastic Lymphoma Kinase/metabolism* ; Carcinoma, Squamous Cell/genetics* ; Mutation ; Cytoskeletal Proteins/genetics* ; Lung/pathology* ; Oncogene Proteins, Fusion/genetics* ; Protein Kinase Inhibitors/therapeutic use* ; Tumor Suppressor Protein p53/genetics*

In recent years, immunotherapy represented by immune checkpoint inhibitors programmed death 1 (PD-1) has made great progress in the treatment of esophageal cancer and is rewriting the global paradigm for the treatment of esophageal cancer. According to current data, only a small number of patients with esophageal cancer could benefit from immunotherapy. Therefore, it is a challenge to screen the potential beneficiaries of PD-1 inhibitors. Studies have shown that the expression level of programmed death-ligand 1 (PD-L1) in esophageal cancer is closely associated with the efficacy of PD-1 inhibitors, and PD-L1 is the most important predictive biomarker of the efficacy of PD-1 inhibitors. With the clinical application of different PD-1 inhibitors and PD-L1 protein expression detection platforms, clarifying the clinical significance and timing of detection of PD-L1 protein expression in esophageal cancer, and establishing a standardized PD-L1 testing procedure, are of great significance to improve the accuracy of detection and reduce the difference between laboratories, so as to maximize the therapeutic benefits for patients. This consensus was finally reached, based on the combination of literature, expert experience, and internal discussion and voting of committee members, to provide an accurate and reliable evidence for clinicians to make decisions.
Humans ; B7-H1 Antigen/metabolism* ; Immune Checkpoint Inhibitors/therapeutic use* ; Consensus ; Esophageal Neoplasms/drug therapy* ; Immunotherapy/methods* ; Lung Neoplasms/pathology*

Objective: To describe the actual efficacy of programmed death-1 (PD-1)/ programmed-death ligand 1 (PD-L1) inhibitors in patients with metastatic non-small cell lung cancer (NSCLC) and explore potential prognostic predictive biomarkers. Methods: Patients with metastatic NSCLC who were treated with PD-1/PD-L1 inhibitors at Cancer Hospital, Chinese Academy of Medical Sciences from January 2016 to December 2019, either as monotherapy or in combination with other agents, were consecutively enrolled into this study. We retrospectively collected the data of demographics, clinical information and pathologic assessment to evaluate the therapeutic efficacy and conduct the survival analysis. Major endpoint of our study is progression-free survival (PFS). Secondary endpoints include objective response rate (ORR), disease control rate (DCR) and overall survival (OS). Results: The ORR of 174 patients who underwent PD-1/PD-L1 inhibitor was 28.7%, and the DCR was 79.3%. Immune-related adverse events (irAEs) occurred in 23 patients (13.2%). Brain metastasis, line of treatment, and treatment patterns were associated with the ORR of metastatic NSCLC patients who underwent immunotherapy (P<0.05). After a median follow-up duration of 18.8 months, the median PFS was 10.5 months (ranged from 1.5 to 40.8 months) while the median OS was not reached. The 2-year survival rate was estimated to be 63.0%. The pathologic type was related with the PFS of metastatic NSCLC patients who underwent immunotherapy (P=0.028). Sex, age, brain metastasis and autoimmune diseases were associated with OS (P<0.05). Analysis of the receptor characteristic curve (ROC) of neutrophil/lymphocyte ratio (NLR) predicting ORR of immunotherapy in metastatic NSCLC showed that the areas under the curve of NLR before immunotherapy (NLR(C0)), NLR after one cycle of immunotherapy (NLR(C1)) and ΔNLR were 0.600, 0.706 and 0.628, respectively. Multivariate logistic regression analysis showed that NLR(C1) was an independent factor of the ORR of metastatic NSCLC patients who underwent immunotherapy (OR=0.161, 95% CI: 0.062-0.422), and the efficacy of combination therapy was better than that of single agent (OR=0.395, 95% CI: 0.174-0.896). The immunotherapy efficacy in patients without brain metastasis was better than those with metastasis (OR=0.291, 95% CI: 0.095-0.887). Multivariate Cox regression analysis showed that NLR(C1) was an independent influencing factor of PFS of metastatic NSCLC patients after immunotherapy (HR=0.480, 95% CI: 0.303-0.759). Sex (HR=0.399, 95% CI: 0.161-0.991, P=0.048), age (HR=0.356, 95% CI: 0.170-0.745, P=0.006) were independent influencing factors of OS of metastatic NSCLC patients after immunotherapy. Conclusions: PD-1/PD-L1 inhibitors are proved to be efficacious and have tolerable toxicities for patients with metastatic NSCLC. Patients at advanced age could still benefit from immunotherapy. Brain metastasis is related to compromised response. Earlier application of immunotherapy in combination with other modalities enhances the efficacy without elevating risk of irAEs. NLR(C1) is an early predictor of clinical outcome. The OS of patients younger than 75 years may be improved when treated with immunotherapy.
B7-H1 Antigen/metabolism* ; Brain Neoplasms/drug therapy* ; Carcinoma, Non-Small-Cell Lung/pathology* ; Humans ; Immune Checkpoint Inhibitors ; Lung Neoplasms/pathology* ; Prognosis ; Programmed Cell Death 1 Receptor ; Retrospective Studies

Programmed cell death protein-1 (PD-1)/programmed cell death-ligand 1 (PD-L1) inhibitors and PD-1 inhibitors plus chemotherapy combination regimens have been widely used in the first-line treatment of advanced non-small cell lung cancer(NSCLC), but patients with low PD-L1 expression have limited objective response and survival benefits. Existing treatment regimens are still difficult to fully meet the clinical needs of patients in the real world. Therefore, researchers are still exploring novel superactive treatment options to further improve the efficacy and survival prognosis of different sub-groups in NSCLC. Dual immunotherapy [such as the combination of PD-1 and cytotoxic T lymphocyte associated antigen-4 (CTLA-4) inhibitors] has shown considerable long-term survival benefits in a variety of tumors and has also shown broad clinical prospects in NSCLC. In addition to exploring different emerging combination options, how to accurately identify the optimal-benefit groups through predictive biomarkers and how to effectively manage the safety of combination immunotherapy through multidisciplinary collaboration are also the focus of dual immunotherapy. This article reviews the mechanism of action, research progress, predictive biomarkers and future exploration directions of dual immunotherapy.
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B7-H1 Antigen/metabolism* ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Humans ; Immunotherapy ; Lung Neoplasms/drug therapy* ; Prognosis