OBJECTIVES: To propose a new method for optimizing radiotherapy planning for lung cancer by incorporating prognostic models that take into account individual patient information and assess the feasibility of treatment planning optimization directly guided by minimizing the predicted prognostic risk. METHODS: A mixed fluence map optimization objective was constructed, incorporating the outcome-based objective and the physical dose constraints. The outcome-based objective function was constructed as an equally weighted summation of prognostic prediction models for local control failure, radiation-induced cardiac toxicity, and radiation pneumonitis considering clinical risk factors. These models were derived using Cox regression analysis or Logistic regression. The primary goal was to minimize the outcome-based objective with the physical dose constraints recommended by the clinical guidelines. The efficacy of the proposed method for optimizing treatment plans was tested in 15 cases of non-small cell lung cancer in comparison with the conventional dose-based optimization method (clinical plan), and the dosimetric indicators and predicted prognostic outcomes were compared between different plans. RESULTS: In terms of the dosemetric indicators, D_95% of the planning target volume obtained using the proposed method was basically consistent with that of the clinical plan (100.33% vs 102.57%, P=0.056), and the average dose of the heart and lungs was significantly decreased from 9.83 Gy and 9.50 Gy to 7.02 Gy (t=4.537, P<0.05) and 8.40 Gy (t=4.104, P<0.05), respectively. The predicted probability of local control failure was similar between the proposed plan and the clinical plan (60.05% vs 59.66%), while the probability of radiation-induced cardiac toxicity was reduced by 1.41% in the proposed plan. CONCLUSIONS The proposed optimization method based on a mixed objective function of outcome prediction and physical dose provides effective protection against normal tissue exposure to improve the outcomes of lung cancer patients following radiotherapy.
Humans ; Lung Neoplasms/radiotherapy* ; Radiotherapy Planning, Computer-Assisted/methods* ; Prognosis ; Radiotherapy, Intensity-Modulated/methods* ; Carcinoma, Non-Small-Cell Lung/radiotherapy* ; Radiotherapy Dosage ; Female ; Male ; Middle Aged

OBJECTIVES: To investigate the effect of curcumin on lipid metabolism in non-small cell lung cancer (NSCLC) and its molecular mechanism. METHODS: The inhibitory effect of curcumin (0-70 μmol/L) on proliferation of A549 and H1299 cells was assessed using MTT assay, and 20 and 40 μmol/L curcumin was used in the subsequent experiments. The effect of curcumin on lipid metabolism was evaluated using cellular uptake assay, wound healing assay, triglyceride (TG)/free fatty acid (NEFA) measurements, and Oil Red O staining. Western blotting was performed to detect the expressions of PGC-1α, PPAR-α, and HIF-1α in curcumin-treated cells. Network pharmacology was used to predict the metabolic pathways, and the results were validated by Western blotting. In a nude mouse model bearing A549 cell xenograft, the effects of curcumin (20 mg/kg) on tumor growth and lipid metabolism were assessed by measuring tumor weight and observing the changes in intracellular lipid droplets. RESULTS: Curcumin concentration-dependently inhibited the proliferation of A549 and H1299 cells and significantly reduced TG and NEFA levels and intracellular lipid droplets. Western blotting revealed that curcumin significantly upregulated PGC-1α and PPAR‑α expressions in the cells. KEGG pathway enrichment analysis predicted significant involvement of the HIF-1 signaling pathway in curcumin-treated NSCLC, suggesting a potential interaction between HIF-1α and PPAR‑α. Western blotting confirmed that curcumin downregulated the expression of HIF-1α. In the tumor-bearing mice, curcumin treatment caused significant reduction of the tumor weight and the number of lipid droplets in the tumor cells. CONCLUSIONS Curcumin inhibits NSCLC cell proliferation and lipid metabolism by downregulating the HIF-1α pathway.
Curcumin/pharmacology* ; Humans ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Animals ; Lipid Metabolism/drug effects* ; Carcinoma, Non-Small-Cell Lung/pathology* ; Lung Neoplasms/pathology* ; Mice, Nude ; Down-Regulation ; Mice ; Cell Proliferation/drug effects* ; Cell Line, Tumor ; Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha ; PPAR alpha/metabolism* ; Signal Transduction/drug effects* ; A549 Cells

OBJECTIVES: To investigate the inhibitory effect of Fuzheng Huaji Decoction against non-small cell lung cancer (NSCLC) cells in vitro and explore the underlying mechanism. METHODS: The active ingredients and targets of Fuzheng Huaji Decoction were identified using TCMSP and SwissTargetPrediction databases. NSCLC-related targets from GeneCards and PharmGKB were intersected with the targets of the Decoction, and a protein-protein interaction (PPI) network was constructed to identify the core targets, which were analyzed with GO and KEGG pathway enrichment analysis. Cultured A549 cells were treated with different concentrations of Fuzheng Huaji Decoction-medicated serum, and the changes in cell proliferation, apoptosis, and protein expressions were examined using CCK-8 assay, annexin V-FITC/PI staining and Western blotting. RESULTS: Fuzheng Huaji Decoction contained 140 active ingredients, and 707 drug-disease intersecting targets were identified. Among these targets, TP53, AKT1, HIF1A, GAPDH, ALB, EGFR, CTNNB1, and TNF were identified as the core targets which were involved in the biological processes related to kinases and receptors and the PI3K-AKT, Ras, calcium, and MAPK pathways. Molecular docking studies indicated strong binding affinity of the active ingredients with TP53, AKT1, and HIF1A. In cultured A549 cells, treatment with 2.5%, 5%, and 10% Fuzheng Huaji Decoction-medicated serum significantly inhibited cell proliferation, promoted cell apoptosis, and downregulated the expression levels of HIF1A, p-AKT (Thr308), and TP53 proteins. CONCLUSIONS Fuzheng Huaji Decoction inhibits proliferation of NSCLC cells possibly by downregulating the expressions of HIF1A, p-AKT (Thr308), and TP53.
Humans ; Carcinoma, Non-Small-Cell Lung/metabolism* ; Drugs, Chinese Herbal/pharmacology* ; Cell Proliferation/drug effects* ; Apoptosis/drug effects* ; Lung Neoplasms/metabolism* ; A549 Cells ; Proto-Oncogene Proteins c-akt/metabolism* ; Protein Interaction Maps ; Signal Transduction/drug effects* ; Cell Line, Tumor

OBJECTIVES: To construct a nomogram for predicting the efficacy of immune checkpoint inhibitors (ICIs) in advanced non-small cell lung cancer (aNSCLC) by integrating chest CT radiomics signature that reflects the tumor microenvironment (TME) and clinical parameters of the patients. METHODS: Transcriptomic and CT imaging data from TCGA, GEO and TCIA databases were integrated for weighted gene co-expression network analysis (WGCNA) of the GEO cohort to identify the immunotherapy-related genes (IRGs) associated with ICIs response. A prognostic model was built using these IRGs in the TCGA cohort to assess immune microenvironment features across different risk groups. Radiomics features were extracted from TCIA lung_3 cohort using PyRadiomics, and 94 features showing strong association with IRGs (|r|>0.4) were selected. A retrospective cohort consisting of 210 aNSCLC patients receiving first-line ICIs at Guangdong Provincial People's Hospital was analyzed and divided into training (n=147) and validation (n=63) groups. Least absolute shrinkage and selection operator was used for radiomic features selection, and logistic regression was applied to construct a combined clinical-radiomic model and nomogram for predicting ICIs therapy response. The performance of the model was evaluated using ROC curve, calibration curve, and decision curve analysis. RESULTS: WGCNA identified 84 IRGs enriched in immune activation pathways. The combined model outperformed individual models in both the training (AUC=0.725, 95% CI: 0.644-0.807) and validation cohorts (AUC=0.706, 95% CI: 0.577-0.836). Calibration curve and decision curve analyses confirmed the clinical efficacy of the nomogram for predicting ICIs therapy response in aNSCLC patients. CONCLUSIONS The genomic-radiomic-clinical multidimensional predictive framework established in this study provides an interpretable biomarker combination and clinical decision-making tool for evaluating ICIs efficacy in aNSCLC, potentially facilitating personalized immunotherapy decision-making.
Humans ; Carcinoma, Non-Small-Cell Lung/therapy* ; Tumor Microenvironment ; Lung Neoplasms/therapy* ; Immunotherapy ; Tomography, X-Ray Computed ; Nomograms ; Retrospective Studies ; Immune Checkpoint Inhibitors/therapeutic use* ; Prognosis ; Male ; Female ; Radiomics

Mitochondria are the convergence point of multiple pathways that trigger programmed cell death (PCD). Mitochondrial-associated PCD (mtPCD) is involved in the pathogenesis of several diseases. However, the role of mtPCD in the prognostic prediction of cancers including non-small-cell lung cancer (NSCLC) remains to be investigated. Here, 12 mtPCD patterns were analyzed in transcriptomics, genomics, and clinical data collected from 4 datasets containing 977 patients. A risk-score assessment system containing 18 genes was established. We found that NSCLC patients with a high-risk score had a poorer prognosis. A nomogram was constructed by incorporating the risk score with clinical features. The risk score was further associated with clinicopathological information, tumor-mutation frequency, and immunotherapy responses. NSCLC patients with a high risk score had more Treg cells infiltration. However, these patients had higher tumor-mutation burden scores and may be more sensitive to immunotherapy. Moreover, receptor-interacting serine/threonine protein kinase 2 (RIPK2) was selected from mtPCD gene model for validation. We found that RIPK2 exhibited oncogenic function, and its expression level was inversely associated with the overall survival of NSCLC. Taken together, our results indicated the accuracy and practicability of the mtPCD gene model and RIPK2 in predicting the prognosis of NSCLC.
Humans ; Carcinoma, Non-Small-Cell Lung/pathology* ; Lung Neoplasms/pathology* ; Prognosis ; Male ; Female ; Nomograms ; Middle Aged ; Mitochondria/metabolism* ; Apoptosis/genetics* ; Mutation ; Biomarkers, Tumor/genetics* ; Aged

SMARCA4-deficient non small cell lung cancer (SMARCA4-dNSCLC) has recently garnered increasing attention due to its high malignancy and poor prognosis. The literature suggests that in non small cell lung cancer (NSCLC), the loss of SMARCA4 frequently co-occurs with mutations in KRAS, KEAP1, and STK11 rather than in EGFR, ALK, and ROS1. Herein, we present the first documented case of SMARCA4-dNSCLC accompanied with rare mutations of EGFR exon 20 S768I and exon 18 G719X. The patient achieved partial response with afatinib for 17 months. Our case highlights the importance of EGFR mutations in the precision targeted treatment of SMARCA4-dNSCLC.
Humans ; Afatinib/therapeutic use* ; Antineoplastic Agents/therapeutic use* ; Carcinoma, Non-Small-Cell Lung/pathology* ; DNA Helicases/genetics* ; ErbB Receptors/genetics* ; Lung Neoplasms/pathology* ; Mutation ; Nuclear Proteins/genetics* ; Transcription Factors/genetics*

Our previous research demonstrated that the Wenxia Changfu Formula (WCF), as a neoadjuvant therapy, inhibits M2 macrophage infiltration in the tumor microenvironment and prevents lung cancer metastasis. Given tumor-associated macrophages (TAMs) in epithelial-mesenchymal transition (EMT), this study investigated whether WCF impedes lung cancer metastasis by attenuating TAM-induced EMT in non-small cell lung cancer (NSCLC) cells. Utilizing a co-culture model treated with or without WCF, we observed that WCF downregulated cluster of differentiation 163 (CD163) expression in macrophages, reduced CCL18 levels in the conditioned medium, and inhibited the growth, invasion, and EMT of NSCLC cells induced by macrophage co-culture. Manipulation of CCL18 levels and Src overexpression in NSCLC cells revealed that WCF's effects are mediated through CCL18 and Src signaling. In vivo, WCF inhibited recombinant CCL18 (rCCL18)-induced tumor metastasis in nude mice by blocking Src signaling. These findings indicate that WCF inhibits NSCLC metastasis by impeding TAM-induced EMT via antagonistic modulation of CCL18, providing evidence for its potential development and clinical application in NSCLC patients.
Epithelial-Mesenchymal Transition/drug effects* ; Carcinoma, Non-Small-Cell Lung/metabolism* ; Humans ; Animals ; Lung Neoplasms/metabolism* ; Chemokines, CC/antagonists & inhibitors* ; Mice ; Mice, Nude ; Drugs, Chinese Herbal/administration & dosage* ; Cell Line, Tumor ; Neoplasm Metastasis ; Tumor-Associated Macrophages/drug effects* ; Mice, Inbred BALB C ; Signal Transduction/drug effects*

Non-small cell lung cancer(NSCLC) is the most common type of lung cancer worldwide, accounting for approximately 80%-85% of all lung cancer cases. Despite the clinical benefits of traditional treatments such as surgery, chemotherapy, and radiotherapy, challenges such as the high rate of postoperative recurrence and resistance of some patients to chemotherapy and targeted therapies limit their effectiveness, necessitating the exploration of more effective treatment options. In recent years, immunotherapy, especially immune checkpoint inhibitors(ICIs), has revolutionized NSCLC treatment and significantly improved the survival prognosis of some patients. However, the efficacy of immunotherapy is limited by tumor immune escape, drug resistance, and immune-related adverse events(irAEs), which have not been effectively addressed. Traditional Chinese medicine(TCM), as a traditional therapeutic approach, has shown unique advantages in NSCLC treatment, with studies indicating its ability to enhance immune responses, regulate immune checkpoints, and improve the tumor microenvironment(TME), thus boosting the efficacy of immunotherapy. Additionally, the multi-target and multi-pathway effects of TCM help mitigate the side effects of immunotherapy, further improving efficacy and safety. This review summarizes the latest research progress of TCM in NSCLC immunotherapy, focusing on the research results of TCM in enhancing the effect of immunotherapy by regulating immune cells, optimizing the immune microenvironment, and being applied with ICIs, etc. The latest research progress of TCM in alleviating irAEs is also elucidated. The aim is to provide theoretical support for the clinical application of TCM in the prevention and treatment of NSCLC and the research and development of new drugs and promote the optimization and development of combined immunotherapy and TCM treatment models.
Humans ; Carcinoma, Non-Small-Cell Lung/therapy* ; Lung Neoplasms/therapy* ; Immunotherapy/methods* ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Animals ; Tumor Microenvironment/drug effects*

Lung cancer is the malignancy with the highest incidence and mortality burden globally, ranking first in both morbidity and mortality among all types of malignant tumors. Pathologically, lung cancer is classified into non-small cell lung cancer (NSCLC) and small cell lung cancer, with NSCLC accounting for approximately 85% of cases. Due to the often subtle or nonspecific clinical manifestations in early-stage disease, many patients are diagnosed at a locally advanced or metastatic stage, where treatment options are limited and prognosis remains poor. Therefore, molecular targeted therapy focusing on driver genes has become a key strategy to improve the survival outcomes of patients with advanced NSCLC. The epidermal growth factor receptor (EGFR) is one of the most common driver genes in NSCLC. While EGFR mutations occur in approximately 12% of advanced NSCLC patients globally, the incidence rises to 55.9% in Chinese patients. Among EGFR mutations, P-loop and αC-helix compressing (PACC) mutations account for about 12.5%. Currently, EGFR tyrosine kinase inhibitors (TKIs) have become the first-line standard treatment for advanced NSCLC patients with classical EGFR mutations, with efficacy well-established through clinical studies and real-world evidence. However, with rapid advancements in NSCLC precision medicine and deeper exploration of the EGFR mutation spectrum, EGFR PACC mutations have emerged as a key clinical focus. The structural characteristics of these mutations lead to significant variability in responses to EGFR TKIs, leaving therapeutic options still limited, while detection challenges persist due to the sensitivity constraints of current testing technologies, driving increasing demand for improved diagnostic and treatment approaches. The current clinical evidence primarily stems from retrospective analyses and small-scale exploratory studies, while prospective, large-scale, high-level evidence-based medical research specifically targeting this mutation subtype remains notably insufficient. This evidence gap has consequently led to the absence of standardized guidelines or expert consensus regarding optimal treatment strategies for advanced NSCLC with EGFR PACC mutations. As a clinical consensus specifically addressing EGFR PACC-mutant NSCLC, this document provides a comprehensive framework encompassing the clinical rationale for EGFR PACC mutation testing, therapeutic strategies for advanced-stage disease, management of treatment-related adverse events, and follow-up protocols. The consensus underscores the pivotal role of EGFR PACC mutation detection in precision medicine implementation while offering evidence-based recommendations to guide personalized therapeutic decision-making. By establishing clear clinical pathways encompassing molecular testing, therapeutic intervention, and long-term monitoring for EGFR PACC-mutant NSCLC, this consensus aims to meaningfully improve patient survival outcomes while serving as a robust, evidence-based foundation for developing personalized clinical management approaches.
Humans ; Carcinoma, Non-Small-Cell Lung/pathology* ; ErbB Receptors/antagonists & inhibitors* ; Mutation ; Lung Neoplasms/pathology* ; Protein Kinase Inhibitors/therapeutic use* ; Molecular Targeted Therapy ; Consensus

Mutations in the human epidermal growth factor receptor 2 (HER-2) gene are recognized as significant but relatively rare driver alterations in non-small cell lung cancer (NSCLC). These mutations predominantly manifest as gene mutation, amplification, and protein overexpression, with an estimated prevalence from 2.8% to 15.4% among NSCLC patients in China. Research indicates that HER-2 mutations, particularly exon 20 insertions (ex20ins), are strongly correlated with aggressive tumor biology, poor prognosis, and limited responsiveness to immunotherapy, thereby exhibiting characteristics of "cold tumors". Overexpression and amplification of HER-2 are also indicative of a heightened risk of chemotherapy resistance and unfavorable survival outcomes, suggesting a distinct molecular subtype with unique biological behaviors. In recent years, novel antibody-drug conjugates (ADCs), particularly trastuzumab deruxtecan (T-DXd), have demonstrated groundbreaking efficacy in HER-2-mutant advanced NSCLC patients. These ADCs have shown significant clinical benefits, including high objective response rates and progression-free survival advantages, making T-DXd the first targeted therapy approved for this patient population globally. Additionally, ADCs have exhibited therapeutic potential in patients with HER-2 overexpression, thus broadening the scope of their indications. To standardize the clinical diagnosis and treatment of HER-2 variant NSCLC, the Chinese Anti-cancer Association convened multidisciplinary experts from oncology, pulmonology, thoracic surgery, pathology, and molecular diagnostics to develop this consensus based on the latest evidences from both domestic and international studies, coupled with China's clinical practice experience. This consensus focuses on the molecular characteristics, clinical significance, diagnostic strategies, treatment options, and safety management of HER-2 alterations, addressing ten critical clinical questions in a systematic manner. It is recommended that HER-2 status be routinely tested at initial diagnosis, disease progression, or recurrence in NSCLC. Mutation detection should prioritize next-generation sequencing (NGS), while protein overexpression may be assessed using immunohistochemistry (IHC) standards for gastric cancer. Fluorescence in situ hybridization (FISH) is recommended for detecting HER-2 amplification. Regarding treatment, for HER-2-mutant patients, first-line therapy may involve chemotherapy with or without immune checkpoint inhibitors (ICIs), similar to treatment approaches for driver-gene negative populations. Upon failure of first-line treatment, trastuzumab deruxtecan, may be considered as alternative therapeutic options. For patients with HER-2 overexpression, ADCs should be considered after failure of standard systemic therapy. However, the management of HER-2 amplification remains insufficiently supported by evidence, necessitating a cautious, individualized approach. The consensus also includes detailed recommendations for screening and managing adverse effects associated with ADCs, such as interstitial lung disease (ILD), emphasizing the crucial role of safety management in ensuring treatment efficacy. The publication of this consensus aims to drive the standardization of molecular diagnosis and treatment pathways for HER-2 variant NSCLC, improve clinical outcomes and quality of life for patients, and facilitate the implementation of personalized precision treatment strategies.
Humans ; Carcinoma, Non-Small-Cell Lung/pathology* ; Lung Neoplasms/pathology* ; Receptor, ErbB-2/metabolism* ; Mutation ; Immunoconjugates/therapeutic use* ; Consensus ; Trastuzumab/therapeutic use* ; Camptothecin/analogs & derivatives*