Lung cancer is a leading cause of cancer-related deaths worldwide, with its high mortality rate primarily attributed to delayed diagnosis. Radiomics, by extracting abundant quantitative features from medical images, offers novel possibilities for early diagnosis and precise treatment of lung cancer. This article reviewed the latest advancements in radiomics for lung cancer management, particularly its integration with artificial intelligence (AI) to optimize diagnostic processes and personalize treatment strategies. Despite existing challenges, such as non-standardized image acquisition parameters and limitations in model reproducibility, the incorporation of AI significantly enhanced the precision and efficiency of image analysis, thereby improving the prediction of disease progression and the formulation of treatment plans. We emphasized the critical importance of standardizing image acquisition parameters and discussed the role of AI in advancing the clinical application of radiomics, alongside future research directions.
Humans ; Lung Neoplasms/diagnosis* ; Artificial Intelligence ; Early Detection of Cancer/methods* ; Precision Medicine ; Image Processing, Computer-Assisted/methods* ; Tomography, X-Ray Computed ; Radiomics

BACKGROUND

COVID-19 infection poses a continuing challenge especially to those already with prior lung disease. To analyze such patients’ profile is essential in today’s health care management.

The study aimed to compare the outcomes of COVID-19 confirmed patients with and without primary lung cancer in terms of hospital stay, recovery, and mortality.

The study employed a retrospective cohort design. Chart review of all adult COVID-19 patients in Philippine General Hospital from January 2021 to June 2021 was done. A matched cohort study was conducted between COVID-19 patients with and without primary lung cancer.

Among the 953 COVID-19 patients, there were 14 patients with primary lung cancer. In terms of length of hospital stay, patients with primary lung cancer had shorter days from 1.32 to 15.1 days compared to 2.28 to 18.36 days in patients without primary lung cancer (p-value 0.271). Furthermore, they had 64% recovery rate compared to 78% in those without primary lung cancer (p-value 0.118). In terms of overall mortality rate, primary lung cancer patients had 36% rate as compared to 22% in the non-lung cancer group (p-value 0.119). Diabetes mellitus, mild to severe COVID, Remdesivir, and antibiotic use were associated with longer hospital stay while oxygen support via nasal cannula and invasive ventilation led to shorter hospital stay. Age above 50 years, chronic liver disease, other malignancy, shortness of breath, oxygen support via face mask, high flow nasal cannula, invasive ventilation, antibiotic use, hemoperfusion and nebulization showed a decrease chance of recovery while on contrary, Remdesivir showed an increase chance of recovery. An increase mortality rate was seen among age above 50 years, chronic liver disease, other malignancy, shortness of breath, oxygen support via facemask, high flow nasal cannula, invasive ventilation, antibiotics, hemoperfusion, and nebulization, in contrast to a decrease in Remdesivir therapy.

Among all admitted COVID-19 patients, primary lung cancer patients were associated with shorter hospital stay (8.21+6.89days), lower rate of recovery (64%), and higher mortality rate (36%) as compared to those without primary lung cancer. However, based on the computed p-values for each outcome, these differences are not statistically significant.

INTRODUCTION: The high prevalence and mortality rates of breast cancer and lung cancer in Singapore necessitate robust screening programmes to enable early detection and intervention for improved patient outcomes, yet 2024 uptake and coverage remain suboptimal. This narrative review synthesises expert perspectives from a recent roundtable discussion and proposes strategies to advance breast cancer and lung cancer screening programmes. METHOD: A 2024 roundtable convened clinical practitioners, health policymakers, researchers and patient advocates discussed current challenges and opportunities for improving cancer screening in Singapore. Perspectives and insights were analysed to identify themes related to existing programme gaps, opportunities for innovation and implementation challenges. DISCUSSION: Singapore's national breast cancer screening programme has been in place for over 2 decades, yet screening uptake remains suboptimal. A national lung cancer screening programme, in contrast, is still in its early stages of implementation. Regardless, employment of risk stratification approaches that integrate genetic, demographic and lifestyle factors could enhance screening effectiveness by identifying high-risk indivi-duals, while also taking local epidemiological trends into consideration. Integration of digital health technologies, artificial intelligence and behavioural change models can enhance cancer screening uptake and accuracy to overcome barriers such as low awareness, cultural beliefs and socioeconomic factors that contribute to low participation rates. CONCLUSION Key recommendations include enhancing public awareness, refining screening guidelines, expanding access and applying innovative technologies. A coordinated effort among stakeholders is crucial to continually assess and enhance screening programmes to narrow the practice-policy gap and ultimately reduce breast cancer and lung cancer burden in Singapore.
Humans ; Singapore/epidemiology* ; Lung Neoplasms/epidemiology* ; Breast Neoplasms/epidemiology* ; Early Detection of Cancer/methods* ; Female ; Mass Screening/organization & administration*

BACKGROUND: Neoadjuvant therapeutic strategies play a pivotal role in the comprehensive treatment of non-small cell lung cancer (NSCLC). However, lung squamous cell carcinoma (SCC) generally exhibits a more favorable response to neoadjuvant therapy compared with lung adenocarcinoma (ADC). The aim of this study is to elucidate how baseline cancer-associated fibroblasts (CAFs) and tumor-associated endothelial cells (TAECs) influence the differential therapeutic outcomes of neoadjuvant treatment in SCC versus ADC. METHODS: We retrospectively collected pretreatment biopsy samples from 104 patients with stage II-III NSCLC who underwent neoadjuvant chemotherapy (NAC) or neoadjuvant chemoimmunotherapy (NAIC) at Shandong Cancer Hospital between January 1, 2018 and December 31, 2023. Tissue microarrays were constructed using an automated arrayer, and multiplex immunofluorescence staining (α-SMA/CD31/CK/DAPI) was performed to identify CAFs (α-SMA+/CK-) and TAECs (CD31+/CK-). Quantitative analyses included CAFs and TAECs densities, the nearest neighbor distance (NND) between CAFs and TAECs, and their spatial proximity (30 μm). Differences in major pathological response (MPR) between groups, defined as residual viable tumor cells ≤10% in resected specimens after neoadjuvant therapy, were assessed using the χ² test. The Mann-Whitney U test was applied to analyze intergroup differences in quantitative indicators, and receiver operating characteristic (ROC) curve analysis was conducted to evaluate the predictive performance of immune-related markers for MPR in the NAIC cohort. RESULTS: Among the 104 NSCLC patients who received neoadjuvant therapy, 35 underwent NAIC and 69 received NAC. Overall, patients with SCC were more likely to achieve MPR compared with those with ADC (50.0% vs 22.4%, P=0.006). This trend persisted in the NAIC subgroup (72.7% vs 30.8%, P=0.038), whereas no significant difference in MPR rates was observed between SCC and ADC in the NAC subgroup. At baseline, prior to NAIC or NAC, programmed cell death ligand 1 (PD-L1)/programmed cell death 1 (PD-1) expression, CAFs and TAECs densities, CAFs-TAECs NND, and CAFs-TAECs proximity (30 μm) showed no significant differences between SCC and ADC. In patients with SCC receiving NAIC, baseline PD-L1/PD-1 expression, CAFs density, and TAECs density showed not significant differences between MPR and NMPR groups. However, the CAFs-TAECs distance was significantly greater in the MPR group (NND: 31.2 vs 24.7 μm, P=0.038), and the number of TAECs within 30 μm of CAFs was significantly lower (proximity: 1.1 vs 3.6, P=0.038). Univariate Cox regression analysis indicated that low TAECs density was associated with MPR following NAIC (OR=36.00, 95%CI: 2.68-1486.88, P=0.019). Furthermore, ROC analysis demonstrated that baseline CAFs-TAECs NND and proximity (30 μm) exhibited strong predictive performance for MPR in SCC patients treated with NAIC, with an area under the curve (AUC) of 0.893, sensitivity of 0.857, and specificity of 1.000. CONCLUSIONS CAFs are more spatially distant from TAECs and more prone to MPR after NAIC in SCC, which may be related to the reduced interaction of CAFs with TAECs and reduced tumor-associated angiogenesis.
Humans ; Lung Neoplasms/therapy* ; Neoadjuvant Therapy ; Male ; Female ; Middle Aged ; Retrospective Studies ; Endothelial Cells/drug effects* ; Aged ; Cancer-Associated Fibroblasts/drug effects* ; Immunotherapy ; Carcinoma, Squamous Cell/drug therapy* ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Adult

Background: COVID-19 infection poses a continuing challenge especially to those already with prior lung disease. To analyze such patients’ profile is essential in today’s health care management. Objective: The study aimed to compare the outcomes of COVID-19 confirmed patients with and without primary lung cancer in terms of hospital stay, recovery, and mortality. Methods: The study employed a retrospective cohort design. Chart review of all adult COVID-19 patients in Philippine General Hospital from January 2021 to June 2021 was done. A matched cohort study was conducted between COVID-19 patients with and without primary lung cancer. Results: Among the 953 COVID-19 patients, there were 14 patients with primary lung cancer. In terms of length of hospital stay, patients with primary lung cancer had shorter days from 1.32 to 15.1 days compared to 2.28 to 18.36 days in patients without primary lung cancer (p-value 0.271). Furthermore, they had 64% recovery rate compared to 78% in those without primary lung cancer (p-value 0.118). In terms of overall mortality rate, primary lung cancer patients had 36% rate as compared to 22% in the non-lung cancer group (p-value 0.119). Diabetes mellitus, mild to severe COVID, Remdesivir, and antibiotic use were associated with longer hospital stay while oxygen support via nasal cannula and invasive ventilation led to shorter hospital stay. Age above 50 years, chronic liver disease, other malignancy, shortness of breath, oxygen support via face mask, high flow nasal cannula, invasive ventilation, antibiotic use, hemoperfusion and nebulization showed a decrease chance of recovery while on contrary, Remdesivir showed an increase chance of recovery. An increase mortality rate was seen among age above 50 years, chronic liver disease, other malignancy, shortness of breath, oxygen support via facemask, high flow nasal cannula, invasive ventilation, antibiotics, hemoperfusion, and nebulization, in contrast to a decrease in Remdesivir therapy. Conclusions Among all admitted COVID-19 patients, primary lung cancer patients were associated with shorter hospital stay (8.21+6.89days), lower rate of recovery (64%), and higher mortality rate (36%) as compared to those without primary lung cancer. However, based on the computed p-values for each outcome, these differences are not statistically significant.
COVID-19 ; lung cancer ; lung neoplasm

OBJECTIVE: To observe the clinical efficacy of Miao medicinal crossbow acupuncture therapy as adjuvant treatment for lung cancer pain based on oxycodone hydrochloride extended-release tablet. METHODS: A total of 60 patients with lung cancer pain were randomized into an observation group (30 cases, 1 case dropped off) and a control group (30 cases). In the control group, oxycodone hydrochloride extended-release tablet was given orally, 10 mg a time, once every 12 hours. On the basis of the treatment in the control group, Miao medicinal crossbow acupuncture therapy was applied once every other day in the observation group. The treatment of 14 days was required in the two groups. Before and after treatment, the numerical rating scale (NRS) score, number of break-out pain and Karnofsky performance status (KPS) score were observed in the two groups. The equivalent oxycodone consumption and rate of adverse reactions were recorded, the analgesic effect was evaluated in the two groups. RESULTS: Compared before treatment, the NRS scores and number of break-out pain were decreased while the KPS scores were increased after treatment in the two groups (P<0.01). After treatment, the NRS score and number of break-out pain in the observation group were lower than the control group (P<0.01), the KPS score in the observation group was higher than the control group (P<0.05). The equivalent oxycodone consumption of whole course and the rate of adverse reactions i.e. constipation, drowsiness, nausea and vomiting in the observation group were lower than the control group (P<0.05). The analgesic effect rate was 93.1% (27/29) in the observation group, which was superior to 63.3% (19/30) in the control group (P<0.05). CONCLUSION On the basis of oxycodone hydrochloride extended-release tablet, Miao medicinal crossbow acupuncture therapy as adjuvant treatment can effectively relieve the pain degree, reduce the number of break-out pain and improve the health status and quality of life in patients with lung cancer pain, enhance the efficacy of medication and reduce its adverse reactions.
Humans ; Cancer Pain ; Oxycodone ; Quality of Life ; Lung Neoplasms ; Pain ; Acupuncture Therapy ; Adjuvants, Immunologic ; Lung ; Analgesics

Lung cancer is the leading cause of cancer-related death in China. The effectiveness of low-dose computed tomography (LDCT) screening has been further validated in recent years, and significant progress has been made in research on identifying high-risk individuals, personalizing screening interval, and management of screen-detected findings. The aim of this study is to revise China national lung cancer screening guideline with LDCT (2018 version). The China Lung Cancer Early Detection and Treatment Expert Group (CLCEDTEG) designated by the China's National Health Commission, and China Lung Oncolgy Group experts, jointly participated in the revision of Chinese lung cancer screening guideline (2023 version). This revision is based on the recent advances in LDCT lung cancer screening at home and abroad, and the epidemiology of lung cancer in China. The following aspects of the guideline were revised: (1) lung cancer risk factors besides smoking were considered for the identification of high risk population; (2) LDCT scan parameters were further classified; (3) longer screening interval is recommended for individuals who had negative LDCT screening results for two consecutive rounds; (4) the follow-up interval for positive nodules was extended from 3 months to 6 months; (5) the role of multi-disciplinary treatment (MDT) in the management of positive nodules, diagnosis and treatment of lung cancer were emphasized. This revision clarifies the screening, intervention and treatment pathways, making the LDCT screening guideline more appropriate for China. Future researches based on emerging technologies, including biomarkers and artificial intelligence, are needed to optimize LDCT screening in China in the future.
.
Humans ; Lung Neoplasms/epidemiology* ; Early Detection of Cancer/methods* ; Artificial Intelligence ; Mass Screening/methods* ; Tomography, X-Ray Computed/methods* ; China/epidemiology*

BACKGROUND: Lung cancer is one of the most common malignant tumors in the world, and the current lung cancer screening and treatment strategies are constantly improving, but its 5-year survival rate is still very low, which seriously endangers human health. Therefore, it is critical to explore new biomarkers to provide personalized treatment and improve the prognosis. Cuproptosis is a newly discovered type of cell death, which is due to the accumulation of excess copper ions in the cell, eventually leading to cell death, which has been suggested by studies to be closely related to the occurrence and development of lung adenocarcinoma (LUAD). Based on The Cancer Genome Atlas (TCGA) database, this study explored the association between cuproptosis-related genes (CRGs) and LUAD prognosis, established a prognostic risk model, and analyzed the interaction between CRGs and LUAD immune cell infiltration. METHODS: The RNA-seq data of LUAD tissue and paracancerous or normal lung tissue were downloaded from the TCGA database; the RNA-seq data of normal lung tissue was downloaded from the Genotype-tissue Expression (GTEx) database, and the data of 462 lung adenocarcinoma cases were downloaded from the Gene Expression Omnibus repository (GEO) as verification. T the risk score model to assess prognosis was constructed by univariate Cox and Lasso-Cox regression analysis, and the predictive ability of the model was evaluated by receiver operating characteristic (ROC) curve and calibration curve. Immune-related and drug susceptibility analysis was further performed on high- and low-risk groups. RESULTS: A total of 1656 CRGs and 1356 differentially expressed CRGs were obtained, and 13 CRGs were screened out based on univariate Cox and Lasso-Cox regression analysis to construct a prognostic risk model, and the area under the curves (AUCs) of ROC curves 1-, 3- and 5- year were 0.749, 0.740 and 0.689, respectively. Further study of immune-related functions and immune checkpoint differential analysis between high- and low-risk groups was done. High-risk groups were more sensitive to drugs such as Savolitinib, Palbociclib, and Cytarabine and were more likely to benefit from immunotherapy. CONCLUSIONS The risk model constructed based on 13 CRGs has good prognostic value, which can assist LUAD patients in individualized treatment, and provides an important theoretical basis for the treatment and prognosis of LUAD.
Humans ; Adenocarcinoma/genetics* ; Adenocarcinoma of Lung/genetics* ; Early Detection of Cancer ; Lung Neoplasms/genetics* ; Prognosis ; Copper ; Apoptosis

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is an idiopathic chronic, progressive interstitial lung disease with a diagnosed median survival of 3-5 years. IPF is associated with an increased risk of lung cancer. Therefore, exploring the shared pathogenic genes and molecular pathways between IPF and lung adenocarcinoma (LUAD) holds significant importance for the development of novel therapeutic approaches and personalized precision treatment strategies for IPF combined with lung cancer. METHODS: Bioinformatics analysis was conducted using publicly available gene expression datasets of IPF and LUAD from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis was employed to identify common genes involved in the progression of both diseases, followed by functional enrichment analysis. Subsequently, additional datasets were used to pinpoint the core shared genes between the two diseases. The relationship between core shared genes and prognosis, as well as their expression patterns, clinical relevance, genetic characteristics, and immune-related functions in LUAD, were analyzed using The Cancer Genome Atlas (TCGA) database and single-cell RNA sequencing datasets. Finally, potential therapeutic drugs related to the identified genes were screened through drug databases. RESULTS: A total of 529 shared genes between IPF and LUAD were identified. Among them, SULF1 emerged as a core shared gene associated with poor prognosis. It exhibited significantly elevated expression levels in LUAD tissues, concomitant with high mutation rates, genomic heterogeneity, and an immunosuppressive microenvironment. Subsequent single-cell RNA-seq analysis revealed that the high expression of SULF1 primarily originated from tumor-associated fibroblasts. This study further demonstrated an association between SULF1 expression and tumor drug sensitivity, and it identified potential small-molecule drugs targeting SULF1 highly expressed fibroblasts. CONCLUSIONS This study identified a set of shared molecular pathways and core genes between IPF and LUAD. Notably, SULF1 may serve as a potential immune-related biomarker and therapeutic target for both diseases.
Humans ; Lung Neoplasms/genetics* ; Adenocarcinoma of Lung/genetics* ; Idiopathic Pulmonary Fibrosis/genetics* ; Adenocarcinoma ; Cancer-Associated Fibroblasts ; Prognosis ; Tumor Microenvironment ; Sulfotransferases

With the development of medical technology, tumor vaccines as a novel precise immunotherapy approach have gradually received attention in clinical applications. Against the backdrop of the global corona virus disease 2019 (COVID-19) outbreak, vaccine technology has further advanced. Depending on the types of antigens, tumor vaccines can be divided into whole-cell vaccines, peptide vaccines, messenger ribonucleic acid (mRNA) vaccines, recombinant virus vaccines, etc. Although some tumor vaccines have been marketed and achieved certain therapeutic effects, the results of tumor vaccines in clinical trials have been unsatisfactory in the past period. With the maturation of next-generation sequencing (NGS) technology and the continuous development of bioinformatics, dynamic monitoring of the entire process of tumor subpopulation development has become a reality, which has laid a solid foundation for personalized, neoantigen-centered therapeutic tumor vaccines. This article reviews the recent developments of tumor vaccines of different types, starts with lung cancer and summarizes the achievements of tumor vaccines in clinical applications, and provides an outlook for the future development of antigen-centered tumor vaccines.
.
Humans ; Cancer Vaccines/therapeutic use* ; Antigens, Neoplasm ; Lung Neoplasms/drug therapy* ; Neoplasms/genetics* ; Computational Biology ; Immunotherapy/methods* ; Lung