Cancer Progress and Priorities: Lung Cancer

Identifying potential targets for preventing cancer progression through the PLA2G1B recombinant protein using bioinformatics and machine learning methods

Lung cancer is the deadliest and most aggressive malignancy in the world. Preventing cancer is crucial. Therefore, the new molecular targets have laid the foundation for molecular diagnosis and targeted therapy of lung cancer. PLA2G1B plays a key role in lipid metabolism and inflammation. PLA2G1B has selective substrate specificity. In this paper, the recombinant protein molecular structure of PLA2G1B was studied and novel therapeutic interventions were designed to disrupt PLA2G1B activity and impede tumor growth by targeting specific regions or residues in its structure. Construct protein-protein interaction networks and core genes using R's "STRING" program. LASSO, SVM-RFE and RF algorithms identified important genes associated with lung cancer. 282 deg were identified. Enrichment analysis showed that these genes were mainly related to adhesion and neuroactive ligand-receptor interaction pathways. PLA2G1B was subsequently identified as developing a preventative feature. GSEA showed that PLA2G1B is closely related to α-linolenic acid metabolism. Through the analysis of LASSO, SVM-RFE and RF algorithms, we found that PLA2G1B gene may be a preventive gene for lung cancer.

Advancements of gene therapy in cancer treatment: A comprehensive review

Cancer is the main contributor for mortality in the world. Conventional therapy that available as the treatment options are chemotherapy, radiotherapy and surgery. However, these treatments are hardly cell-specific most of the time. Nowadays, extensive research and investigations are made to develop cell-specific approaches prior to cancer treatment. Some of them are photodynamic therapy, hyperthermia, immunotherapy, stem cell transplantation and targeted therapy. This review article will be focusing on the development of gene therapy in cancer. The objective of gene therapy is to correct specific mutant genes causing the excessive proliferation of the cell that leads to cancer. There are lots of explorations in the approach to modify the gene. The delivery of this therapy plays a big role in its success. If the inserted gene does not find its way to the target, the therapy is considered a failure. Hence, vectors are needed and the common vectors used are viral, non viral or synthetic, polymer based and lipid based vectors. The advancement of gene therapy in cancer treatment will be focussing on the top three cancer cases in the world which are breast, lung and colon cancer. In breast cancer, the discussed therapy are CRISPR/Cas9, siRNA and gene silencing whereas in colon cancer miRNA and suicide gene therapy and in lung cancer, replacement of tumor suppressor gene, CRISPR/Cas9 and miRNA.

Correlation of CD 133 Biomarker with Outcomes and Therapy Response in Advanced-Stage Non-Small Cell Lung Carcinoma

OBJECTIVE

This study aimed to analyze CD 133 stem cell biomarker levels in serum and bronchial lavage, as well as correlate these levels with treatment responses and outcomes in patients with advanced-stage NSCLC.

METHODS

This is a cross-sectional, observational, and analytical study that analyzed data from NSCLC patients and control at Dr. Wahidin Sudirohusodo Hospital, Makassar. CD 133 levels in serum and bronchial lavages were quantified using ELISA and correlated with treatment responses assessed by RECIST 1.1 criteria.

RESULT

A total of 118 participants were used, with 66 being NSCLC patients and 52 as the control. The results showed significant differences in CD 133 serum and bronchial lavage levels (p<0.05). Moreover, NSCLC patients with advanced tumors (T4) had higher CD 133 levels in bronchial wash (p<0.05). The bronchial wash CD 133 test showed higher sensitivity (83.6%) and specificity (79.2%) compared to serum CD 133. Even though CD 133 levels were not significantly correlated with treatment response, they were higher in patients with advanced tumor stages.

CONCLUSION

CD 133 levels were significantly higher in bronchial wash samples from NSCLC patients with advanced tumors (T4). Also, there was a positive correlation between CD 133 levels in bronchial wash and serum. These results emphasized the potential of CD 133, particularly in bronchial wash, as a valuable diagnostic tool for NSCLC.

Cellular and molecular mechanisms underlying the potential of betulinic acid in cancer prevention and treatment

BACKGROUND

Betulinic acid (BA), which is a pentacyclic triterpenoid found in the bark of plane, birch, and eucalyptus trees, has emerged as a compound of significant interest in scientific research due to its potential therapeutic applications. BA has a range of well-documented pharmacological and biological effects, including antibacterial, immunomodulatory, diuretic, antiviral, antiparasitic, antidiabetic, and anticancer activities. Although numerous research studies have explored the potential anticancer effects of BA, there is a noticeable gap in the literature, highlighting the need for a more up-to-date and comprehensive evaluation of BA's anticancer potential.

PURPOSE

The aim of this work is to critically assess the reported cellular and molecular mechanisms underlying the cancer preventive and therapeutic effects of BA.

METHODS

Relevant research on the inhibitory effects of BA against cancerous cells was searched using Science Direct, Scopus, Web of Science, and PubMed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

RESULTS

The anticancer properties of BA are mediated by the activation of cell death and cell cycle arrest, production of reactive oxygen species, increased mitochondrial permeability, modulation of nuclear factor-κB and Bcl-2 family signaling. Emerging evidence also underscores the combined anticancer effects of BA with other natural bioactive compounds or approved drugs. Notably, several novel BA nanoformulations have been found to exhibit encouraging antineoplastic activities.

CONCLUSION

BA, whether used alone or in combination, or as a form of nanoformulation, shows significant potential for cancer prevention and treatment. Nevertheless, further detailed studies are necessary to confirm the therapeutic effectiveness of this natural compound.

A pilot study of optical coherence tomography-guided transbronchial biopsy in peripheral pulmonary lesions

BACKGROUND

The diagnosis of peripheral pulmonary lesions (PPLs) remains challenging. Despite advancements in guided transbronchial biopsy (TBB) techniques, diagnostic yields haven't reached ideal levels. Optical coherence tomography (OCT) has been developed for application in pulmonary diseases, yet no data existed evaluating effectiveness in diagnosing PPLs.

RESEARCH DESIGN AND METHODS

This study included patients who underwent OCT and radial endobronchial ultrasound (R-EBUS)-guided TBB. OCT and R-EBUS imaging features were analyzed to differentiate between benign and malignant PPLs and subtypes of lung cancer.

RESULTS

A total of 89 patients were included in this study. The diagnostic yield of OCT-guided TBB stood at 56.18%, R-EBUS-guided TBB was 83.15% (P<0.01). The accuracy of OCT to judge the nature of lesions was 92.59%, while R-EBUS was 77.92%. The accuracy of OCT in predicting squamous carcinoma (SCC) and adenocarcinoma were both 91.30%.

CONCLUSIONS

Although the diagnostic yield of OCT-guided TBB fell short of that achieved by R-EBUS, OCT possessed the capability to judge the nature of lesions and guide the pathological classification of malignant lesions. Further extensive prospective studies are necessary to thoroughly assess the characteristics of this procedure.

CLINICAL TRIAL REGISTRATION

https://register.clinicaltrials.gov/ identifier is NCT06419114.

Knowledge and beliefs about lung cancer screening among Black individuals at high risk: a qualitative approach

Background

Despite its efficacy in reducing lung cancer (LC)-specific mortality by 20%, screening with low-dose computed tomography (LDCT) in eligible groups remains low (5-16%). Black individuals are more commonly affected by LC than other racial/ethnic groups in the United States (U.S.) but less likely to undergo LC screening (LCS). Our study aimed to explore the knowledge and beliefs of Black individuals at high risk regarding LCS.

Methods

Black individuals (n=17) who met the 2021 United States Preventive Services Task Force (USPSTF) LCS eligibility criteria were recruited in upstate New York. In-depth semi-structured interviews were conducted, audio recorded, and transcribed to explore knowledge and beliefs that could influence the uptake of LCS. A qualitative thematic analysis method was used to identify and analyze themes within the data.

Results

We identified principal themes about LC and LCS. Although most participants reported that smoking was the major risk factor for LC, some participants placed more emphasis on other factors as the major risk factors for LC and de-emphasized the role of smoking. Most participants were not aware that screening for LC existed. Several barriers and facilitators for LCS were identified.

Conclusions

Awareness about LCS among Black individuals is low. Addressing barriers may help increase LCS rates among Black individuals, ultimately reducing their LC mortality. The findings from our study have important implications in designing more effective interventions involving community health workers and healthcare clinicians to increase LCS uptake among Black individuals at high risk.

Prevalence and risk factors of sleep disturbances among patients with lung cancer: systematic review and meta-analysis

PURPOSE

Patients with lung cancer endure the most sleep problems. Understanding the prevalence and risk factors of sleep disturbances in lung cancer populations is critical in reducing symptom burden and improving their quality of life. This systematic review aimed to determine the prevalence and risk factors of sleep disturbances in patients with lung cancer.

METHODS

Seven electronic databases were systematically screened for studies on the prevalence or risk factors of sleep disturbances in patients with lung cancer. Subgroup analyses were conducted to investigate significant heterogeneity (I2 > 50%) across studies.

RESULTS

Thirty-seven studies were found eligible. The pooled prevalence was 0.61 (95% CI = [0.54-0.67], I2 = 96%, p < 0.00001). Seven risk factors were subject to meta-analyses. Significant differences were found for old age (OR = 1.23; 95% CI = [1.09-1.39], p = 0.0006,I2 = 39%), a low education level (OR = 1.17; 95%CI = [1.20-2.66], p = 0.004, I 2 = 42%), fatigue (OR = 1.98; 95%CI = [1.23-3.18], p = 0.005, I 2 = 31%), pain (OR = 2.63; 95% CI = [1.35-5.14], p = 0.005, I 2 = 91%), tumor stage of III or IV (OR = 2.05; 95%CI = [1.54-2.72], p < 0.00001, I 2 = 42%), anxiety (OR = 1.62; 95%CI = [1.22-2.14], p = 0.0008, I2 = 78%), and depression (OR = 4.02; 95% CI = [1.39-11.61], p = 0.01, I2 = 87%). After the included studies were withdrawn one after the other, pain (OR = 3.13; 95% CI = [2.06-4.75], p < 0.00001, I 2 = 34%) and depression (OR = 5.47; 95% CI = [2.65-11.30], p < 0.00001) showed a substantial decrease of heterogeneity. Meanwhile, the heterogeneity of anxiety symptoms remained unchanged.

CONCLUSION

Results showed that sleep disturbances were experienced in more than 60% of patients with lung cancer. The comparatively high prevalence of sleep disturbances in this population emphasizes the need to adopt measures to reduce them. Significant associations were found between sleep disturbances and various factors, including age, education level, fatigue, pain, cancer stage, anxiety, and depression. Among these factors, depression emerged as the most significant. Future research should concentrate on identifying high-risk individuals and tailored interdisciplinary interventions based on these risk factors.

Health Professionals' Perceptions about Prostate Cancer-A Focus Group Study

Prostate cancer (PCa) accounts for 20% of new cancer cases and 10.5% of cancer-associated mortality in Portugal. Associated risk factors include advanced age, family history, genetic alterations, and race/ethnicity. However, the role of lifestyle factors is often underestimated. To explore health professionals' perceptions of PCa risk factors, a qualitative study with three focus groups (FG), with a total of twenty-one general practitioners and urologists, was conducted via videoconference between February and April 2023. Seven themes emerged, including general perceptions of PCa; PCa risk factors; nutritional impact; the role of physical activity; alcohol consumption and smoking; sexual activity and sexually transmitted diseases roles in PCa; and screening, diagnosis, and treatment methods. Despite agreeing that healthy lifestyles could promote better PCa outcomes and quality of life, participants did not specify any lifestyle factors that could promote or prevent this disease, posing challenges to lifestyle changes, particularly among older adults. Non-invasive screening methods, such as biomarkers and alternative treatments, are crucial for future research. This study underscores the need for further investigation into the correlation of lifestyle factors with PCa and highlights the necessity of health professionals in encouraging their patients to adopt healthier lifestyles, while offering important insights into awareness, prevention, and alternative screening, diagnosis, and treatment methods, which could help reduce false positives and treatment side effects.

The Role of ADCY1 in Regulating the Sensitivity of Platinum-Based Chemotherapy in NSCLC

Lung cancer has the highest fatality rate among malignant tumors in the world. Finding new biomarkers of drug resistance is of great importance in the prognosis of lung cancer patients. We found that the polymorphisms of Adenylate Cyclase 1 (ADCY1) are significantly associated with platinum-based chemotherapy resistance in lung cancer patients in our previous research. In this study, we wanted to identify the mechanism of ADCY1 affecting platinum resistance. We used an MTT assay to find if the expression of ADCY1 is associated with the sensitivity of cisplatin in A549, H1299, and A549-DDP cells. Then, we performed CCK-8 tests to detect the absorbance of these cells stimulated by ADCY1, which can discover the cell proliferation that is affected by ADCY1. We investigated cell apoptosis and cell cycles regulated by ADCY1 through the flow cytometry assay. RNA sequencing was used to find the downstream genes affected by ADCY1 which may be associated with drug resistance in lung cancer patients. ADCY1 has higher expression in lung cancer cells than in normal cells. ADCY1 can affect cisplatin resistance in lung cancer cells by regulating cell proliferation, cell apoptosis, and the cell cycle. It may control cell apoptosis by regulating the classical apoptosis biomarkers Bax and Bcl2. Our study showed that ADCY1 may be a new biomarker in the prognosis of lung cancer patients. Much work remains to be carried out to clarify the mechanism in this important emerging field.

Cost-Effectiveness of Lung Cancer Screening with Low-Dose Computed Tomography: Comparing Hungarian Screening Protocols with the US NLST

We aimed to directly compare the cost-effectiveness of Hungarian (following the NELSON trial) and NLST screening protocols, two trials influencing lung-cancer-screening implementation internationally. A decision-analytic model analyzing the cost-effectiveness of Hungarian protocols was manipulated to reflect the protocols of the NLST, while maintaining features specific to the Hungarian healthcare setting. In the Hungarian protocol, there are three possible outcomes to the initial round of screening, positive, negative, and indeterminate, indicating an uncertain degree of suspicion for lung cancer. This protocol differs from the NLST, in which the only possible screening outcomes are positive or negative, with no indeterminate option. The NLST pathway for smokers aged 55-74 resulted in a EUR 43 increase in the total average lifetime costs compared to the Hungarian screening pathway and resulted in a lifetime gain of 0.006 QALYs. The incremental costs and QALYs yielded an ICER of 7875 EUR/QALY. Our results demonstrate that assigning any suspicious LDCT screen as a positive result (NLST protocol) rather than indeterminate (Hungarian protocol) can reduce patient uncertainty and yield a slight QALY gain that is worth the additional use of resources according to Hungary's willingness-to-pay threshold. A stratified analysis by age was also conducted, revealing decreasing cost-effectiveness when screening older cohorts. Our study provides insight into the cost-effectiveness, advantages, and disadvantages of various LDCT screening protocols for lung cancer and can assist other countries as they implement their screening programs.

Development of Ex Vivo Analysis for Examining Cell Composition, Immunological Landscape, Tumor and Immune Related Markers in Non-Small-Cell Lung Cancer

NSCLC is a very aggressive solid tumor, with a poor prognosis due to post-surgical recurrence. Analysis of the specific tumor and immune signatures of NSCLC samples is a critical step in prognostic evaluation and management decisions for patients after surgery. Routine histological assays have some limitations. Therefore, new diagnostic tools with the capability to quickly recognize NSCLC subtypes and correctly identify various markers are needed. We developed a technique for ex vivo isolation of cancer and immune cells from surgical tumor and lung tissue samples of patients with NSCLC (adenocarcinomas and squamous cell carcinomas) and their examination on ex vivo cell preparations and, parallelly, on histological sections after Romanovsky-Giemsa and immunofluorescent/immunochemical staining for cancer-specific and immune-related markers. As a result, PD-L1 expression was detected for some patients only by ex vivo analysis. Immune cell profiling in the tumor microenvironment revealed significant differences in the immunological landscapes between the patients' tumors, with smokers' macrophages with simultaneous expression of pro- and anti-inflammatory cytokines, neutrophils, and eosinophils being the dominant populations. The proposed ex vivo analysis may be used as an additional diagnostic tool for quick examination of cancer and immune cells in whole tumor samples and to avoid false negatives in histological assays.

Strong PD-L1 affect clinical outcomes in advanced NSCLC treated with third-generation EGFR-TKIs

Background: In first/second generation EGFR-TKIs, strong PD-L1 expression contributes to primary resistance, significantly affecting patient prognosis. The relationship between PD-L1 expression levels and third-generation TKIs remains unclear.Methods: This study analyzed advanced NSCLC who received third-generation EGFR-TKIs as first-line systemic therapy from March 2019 to June 2022. The EGFR and PD-L1 status of the patients was also assessed.Results: Overall, 150 patients were included in this study. PD-L1 expression was negative (PD-L1 tumor proportion score <1%) in 89 cases, weak (1-49%) in 42 cases, and strong (≥50%) in 19 cases. mPFS for patients with negative, weak and strong PD-L1 expressions was 23.60, 26.12 and 16.60 months, respectively. The mPFS for strong PD-L1 expression was significantly shorter than that for with weak PD-L1 expression but was not associated with negativity. The same conclusions were shown in subgroup analyses of mutation types and TKI kinds. In addition, Relative to PD-L1-negative patients, resistance to TKIs may be associated with early progression for patients with strong PD-L1 expression.Conclusion: PD-L1 expression in tumor cells influenced the clinical outcomes of patients with advanced NSCLC treated with third-generation EGFR-TKIs. Stronger PD-L1 expression in TKIs-treated patients with advanced first-line EGFR-mutated NSCLC was associated with worse PFS.

Osimerinib haematological toxicities in non-small cell lung cancer: a randomised controlled trials meta-analysis

OBJECTIVE

Osimertinib plays a crucial role in patients with non-small cell lung cancer (NSCLC). However, the haematological toxicities caused by osimertinib in such a population have not been well characterised. This analysis was performed to determine the incidence of osimertinib-related haematological toxicity in patients with NSCLC.

METHOD

A literature search was conducted in PubMed, Embase, Cochrane Library and Web of Science. Eligible studies were included to describe the pooled incidences of anaemia, neutropenia and thrombocytopenia secondary to osimertinib in NSCLC patients.

RESULTS

1288 patients from 10 studies were enrolled in this study. The overall incidences of osimertinib-related all-grade anaemia, neutropenia and thrombocytopenia in NSCLC patients were 21.1% (95% CI 10.9% to 33.3%), 14.6% (95% CI 5.9% to 26.1%) and 28.4% (95% CI 12.4% to 47.6%), respectively. In items of high-grade haematological toxicities, there were 0.5% (95% CI 0.1% to 1.1%) for anaemia, 2.0% (95% CI 0.3% to 4.6%) for neutropenia and 0.4% (95% CI 0% to 1.1%) for thrombocytopenia.

CONCLUSIONS

There is non-negligible haematological toxicity associated with osimertinib, and it should be taken seriously.

Rapid progress of an iris metastasis from esophageal cancer: a case report and review of literature

This case report details a rare instance of rapid iris metastasis from esophageal cancer in a 59-year-old man. A literature review was conducted to explore recent advances in detecting, diagnosing, and treating intraocular metastatic malignancies. Positron emission tomography-computed tomography played a crucial role in identifying primary sites and systemic metastases. Local treatment combined with systemic therapy effectively reduced tumor size, preserved useful vision, and improved the patient's survival rate. A comparison was made of the characteristics of iris metastases from esophageal cancer and lung cancer, including age, gender, tumor characteristics, and treatment. The challenges associated with diagnosis and treatment are discussed, highlighting the implications for clinical practice.

Analysis of the interlink between glucose-6-phosphate dehydrogenase (G6PD) and lung cancer through multi-omics databases

Glucose-6-Phosphate Dehydrogenase (G6PD) is a crucial enzyme that executes the pentose phosphate pathway. Due to its critical nodal position in the metabolic network, it is associated with different forms of cancer tumorigeneses and progression. Nonetheless, its functional role and molecular mechanism in lung cancer remain unknown. The present study provides intricate information associated with G6PD and Lung Cancer. Varieties of public datasets were retrieved by us, including UALCAN, TCGA, cBioPortal, and the UCSC Xena browser. The data obtained were used to assess the expression of G6PD, its clinical features, epigenetic regulation, relationship with tumour infiltration, tumour mutation burden, microsatellite instability, tumour microenvironment, immune checkpoint genes, genomic alteration, and patient's overall survival rate. The present study revealed that the G6PD expression was correlated with the clinical features of lung cancer including disease stage, race, sex, age, smoking habits, and lymph node metastasis. Moreover, the expression profile of G6PD also imparts epigenetic changes by modulating the DNA promoter methylation activity. Methylation of promoters changes the expression of various transcription factors, genes leading to an influence on the immune system. These events linked with G6PD-related mutational gene alterations (FAM3A, LAG3, p53, KRAS). The entire circumstance influences the patient's overall survival rate and poor prognosis. Functional investigation using STRING, GO, and KEGG found that G6PD primarily engages in hallmark functions (metabolism, immunological responses, proliferation, apoptosis, p53, HIF-1, FOXO, PI3K-AKT signaling). This work provides a wide knowledge of G6PD's function in lung cancer, as well as a theoretical foundation for possible prognostic therapeutic markers.

Lipid polymer hybrid nanoparticles against lung cancer and their application as inhalable formulation

Lung cancer is a leading cause of global cancer mortality, often treated with chemotherapeutic agents. However, conventional approaches such as oral or intravenous administration of drugs yield low bioavailability and adverse effects. Nanotechnology has unlocked new gateways for delivering medicine to their target sites. Lipid-polymer hybrid nanoparticles (LPHNPs) are one of the nano-scaled delivery platforms that have been studied to exploit advantages of liposomes and polymers, enhancing stability, drug loading, biocompatibility and controlled release. Pulmonary administration of drug-loaded LPHNPs enables direct lung deposition, rapid onset of action and heightened efficacy at low doses of drugs. In this manuscript, we will review the potential of LPHNPs in management of lung cancer through pulmonary administration.

The relationship between perceived social support, coping style, and the quality of life and psychological state of lung cancer patients

BACKGROUND

Lung cancer has always a cancer that threatens human health. Quality of life also has been an important research topic. psychological state in patients can influence their quality of life, and perceived social support and coping styles are relevant facilitators of Quality of life, but this specific relationship has not been adequately studied. The purpose of this study is focus on discussing the correlation of these four and understanding their potential mediating pathways.

MATERIALS AND METHODS

This is a cross-sectional study. A total of 300 Lung Cancer patients from a cancer hospital in Suzhou were surveyed. The Data was collected using the scales. The collected data was analyzed using SPSS and AMOS software.

RESULTS

The study revealed a significant serial mediation model between perceived social support and coping style: Psychological state regulates patients' coping styles by influencing their perceived social support which ultimately has comprehensive impacts on their quality of life.

CONCLUSION

Based on the empirical results discussed, this study proposes the following suggestion: Provide good online support to form a related social media intervention matrix. meanwhile, expand the patients' social network offline, provide channels for patients to express their troubles outwardly, and regularly assess the patients' psychological status to improve their level of psychosocial adaptation. This will in turn enhance their negative coping strategies towards the disease and strengthen their ability to buffer against it, ultimately promoting a better quality of life for the patients.

Inhaled Ivermectin-Loaded Lipid Polymer Hybrid Nanoparticles: Development and Characterization

Ivermectin (IVM), a drug originally used for treating parasitic infections, is being explored for its potential applications in cancer therapy. Despite the promising anti-cancer effects of IVM, its low water solubility limits its bioavailability and, consequently, its biological efficacy as an oral formulation. To overcome this challenge, our research focused on developing IVM-loaded lipid polymer hybrid nanoparticles (LPHNPs) designed for potential pulmonary administration. IVM-loaded LPHNPs were developed using the emulsion solvent evaporation method and characterized in terms of particle size, morphology, entrapment efficiency, and release pattern. Solid phase characterization was investigated by Fourier transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), and thermogravimetric analysis (TGA). Using a Twin stage impinger (TSI) attached to a device, aerosolization properties of the developed LPHNPs were studied at a flow rate of 60 L/min, and IVM was determined by a validated HPLC method. IVM-loaded LPHNPs demonstrated spherical-shaped particles between 302 and 350 nm. Developed formulations showed an entrapment efficiency between 68 and 80% and a sustained 50 to 60% IVM release pattern within 96 h. Carr's index (CI), Hausner ratio (HR), and angle of repose (θ) indicated proper flowability of the fabricated LPHNPs. The in vitro aerosolization analysis revealed fine particle fractions (FPFs) ranging from 18.53% to 24.77%. This in vitro study demonstrates the potential of IVM-loaded LPHNPs as a delivery vehicle through the pulmonary route.

A fractional-order model for optimizing combination therapy in heterogeneous lung cancer: integrating immunotherapy and targeted therapy to minimize side effects

This research presents a novel approach to address the complexities of heterogeneous lung cancer dynamics through the development of a Fractional-Order Model. Focusing on the optimization of combination therapy, the model integrates immunotherapy and targeted therapy with the specific aim of minimizing side effects. Notably, our approach incorporates a clever fusion of Proportional-Integral-Derivative (PID) feedback controls alongside the optimization process. Unlike previous studies, our model incorporates essential equations accounting for the interaction between regular and mutated cancer cells, delineates the dynamics between immune cells and mutated cancer cells, enhances immune cell cytotoxic activity, and elucidates the influence of genetic mutations on the spread of cancer cells. This refined model offers a comprehensive understanding of lung cancer progression, providing a valuable tool for the development of personalized and effective treatment strategies. the findings underscore the potential of the optimized treatment strategy in achieving key therapeutic goals, including primary tumor control, metastasis limitation, immune response enhancement, and controlled genetic mutations. The dynamic and adaptive nature of the treatment approach, coupled with economic considerations and memory effects, positions the research at the forefront of advancing precision and personalized cancer therapeutics.

FAM65A promotes the progression and growth of lung squamous cell carcinoma in vivo and vitro

BACKGROUNDS

Currently, family with sequence similarity 65 member A (FAM65A) is reported as a pivotal regulator in various cancers. However, the effect of FAM65A in lung squamous cell carcinoma (LSCC) is still unclear, the prime objective of this research is to explore the role of FAM65A in LSCC.

METHODS

Gene expression data and correlated clinical information were downloaded from the public database and the expression of FAM65A was detected. The expression of FAM65A was also detected in our collected clinical samples and LSCC cell lines. Survival package of R language was used to determine the survival significance of FAM65A. Proteins expression level was determined via western blot assay. Cell function experiments and in vivo experiments were performed to explore the effect of FAM65A on LSCC cell biological behaviors.

RESULTS

FAM65A expression was significantly increased in LSCC clinical samples and cell lines. High FAM65A expression predicted poor prognosis in LSCC patients. After silencing FAM65A, the ability of LSCC cell proliferation, invasion and migration was decreased, and LSCC cell cycle was blocked. Moreover, in vivo experiments revealed that silencing FAM65A could inhibit LSCC cell proliferation.

CONCLUSIONS

High FAM65A expression could enhance proliferative, invasive and migratory abilities of LSCC. FAM65A might be a novel biomarker of LSCC.

Clinicopathological characteristics and prognosis of non-small cell lung cancer in Algeria: a single-center retrospective study

BACKGROUND

Lung cancer is the most commonly diagnosed cancer and the leading cause of cancer-related death in men in Algeria. Little is known about the characteristics of lung cancer in Algeria. This study aimed to determine the clinicopathological characteristics and prognosis of non-small cell lung cancer (NSCLC) patients in Algeria.

METHODS

This retrospective study was performed on 269 pathologically confirmed cases of NSCLC at the Benbadis University Hospital of Constantine (2015-2023). Of these, 95 patients were included in the survival analysis. The clinicopathological and outcome data were investigated based on the patients' medical records.

RESULTS

This study showed male predominance with sex ratio of 5.7, with a mean age of 61.8 years. Histologically, 67.3% of cases had adenocarcinoma (ADC) and 22.7% squamous cell carcinoma (SCC). ADC and SCC occurred more frequently in female (p = 0.02) and male (p = 0.003) patients, respectively. Smoking was estimated at 82.2% in men. Over 28% were non-smokers, of which 50.7% were women, and presented at younger age (p = 0.04). Most of our patients (75.5%) have an advanced stage at diagnosis. Around 70% of patients underwent chemotherapy (CT) as first-line treatment, with medians diagnostic and treatment delays of 4 and 1 months, respectively. The median overall survival (mOS) was estimated at 10.3 and 6.7 months in I-III and IV stages, respectively. Other factors that negatively impact OS were age > 65 years (p = 0.01), and the presence of symptoms (p = 0.005) and comorbidity (p = 0.004) in stage IV, and delayed treatment (p = 0.03) and receiving CT alone (p = 0.03) in stages I-III cases. Medians progression free survival (mPFS) in stage IV, III, and II patients were 4.1, 5.2, and 8.3 months, respectively, and negatively affected by the comorbidity (stage IV, p = 0.03) and receiving CT alone (stages II-III, p = 0.03).

CONCLUSIONS

NSCLC presents at an early age and advanced stage in Algerian patients. ADC is the most frequent histological subtype and smoking remains the most important risk factor in men. Furthermore, the prognostic factors affecting survival are stage, age, comorbidity, symptoms, and treatment. Thus, tobacco control, early detection program, and access to novel therapies may be the best strategies to reduce NSCLC morbidity and mortality.

TNNT1 accelerates migration, invasion and EMT progression in lung cancer cells

BACKGROUND

Clinically, most patients with lung cancer (LC) die from tumor spread and metastasis. Specific metastasis-related molecules can provide reference for clinical prediction of efficacy, evaluation of prognosis, and search for the best treatment plan. Troponin T1 (TNNT1) is highly expressed in various cancer tissues, which affects malignant behavior of tumor cells and is related to patients' survival and prognosis. However, the role and molecular mechanism of TNNT1 in LC invasion and metastasis have not yet been investigated.

METHODS

Gene expression profiling interactive analysis (GEPIA) online analysis was used to analyze TNNT1 expression in LC tissues. Quantitative real-time-polymerase chain reaction (qRT-PCR) or western blot were performed to measure TNNT1 or epithelial-to-mesenchymal transition (EMT)-related and Wnt/β-catenin pathway-related protein expression in LC cells. After TNNT1 knockdown, cell scratch healing and transwell assays were introduced to assess cell migration and invasion, respectively.

RESULTS

TNNT1 expression in LC tissues and cells was increased. TNNT1 knockdown notably impaired LC cell migration, invasion and EMT. TNNT1 knockdown inhibited Wnt/β-catenin pathway of LC cells. Lithium chloride (LiCl) addition partially restored the inhibition of TNNT1 knockdown on migration, invasion, EMT and Wnt/β-catenin of LC cells.

CONCLUSION

TNNT1 knockdown attenuated LC migration, invasion and EMT, possibly through Wnt/β-catenin signaling.

FAM189A2 plays a tumour suppressor role in lung adenocarcinoma by influencing cell apoptosis, CXCR4 expression and tight junction proteins

Transmembrane proteins play key roles in the development of lung cancer. The family with sequence similarity 189 member A2 (FAM189A2) gene encodes a transmembrane structural protein, yet its involvement in lung adenocarcinoma remains largely unexplored. This study elucidated its role in lung adenocarcinoma and its possible molecular mechanism. Our findings revealed diminished expression levels of FAM189A2 in LUAD tissues. Additionally, the activity of LUAD cells was significantly inhibited by overexpression of FAM189A2. Following FAM189A2 overexpression, the expression of OCLN and TJP2 was upregulated in LUAD cells, while CXCR4 expression experiences a notable decrease. Moreover, the coimmunoprecipitation experiment confirmed the direct interaction between FAM189A2 and CXCR4. The infiltration levels of T cells (CD4+ memory resting, CD8+, regulatory), NK cells, B memory cells, endothelial cells and cancer-associated fibroblasts were significantly correlated with FAM189A2 expression. These results indicate FAM189A2 may act as a tumour suppressor in LUAD through tight junction protein (TJP) and CXCR4 regulation. Moreover, FAM189A2 is significantly correlated with the immune microenvironment of LUAD, which may be involved in prognosis and immunotherapeutic efficacy.

Exploring the Disparity in Indoor/Outdoor Time and Radon Exposure as Possible Factors Contributing to the Unexpected Increase in Lung Cancer Risk among Non-Smoking Women

According to a NIH study, Lung cancer among individuals who have never smoked is more prevalent in women and occurs at an earlier age than in smokers. The rise in lung cancer rates among female non-smokers might be linked to radon inhalation and should be further investigated. Our theory is based on the differences in radon exposure between males and females, which can be attributed to the variations in time spent indoors versus outdoors. Over the past few years, the smoking rates have shown a steady decline in the United States and other developed countries. This decrease in smoking prevalence has led to a new shift in the primary risk factors associated with lung cancer. Although tobacco smoke historically served as the primary cause of lung cancer, the reduction in smoking rates has allowed other risk factors, such as radon exposure, to come to the forefront. Given that women in certain countries, on average, might spend more time indoors compared to men, they are potentially exposed to higher levels of radon. This increased exposure could explain the rising rates of lung cancer among female non-smokers. The theory is still in its nascent stages and requires further research and validation. However, if proven correct, it could significantly alter our understanding of lung cancer risk factors and lead to new prevention. It is therefore crucial to expedite the review and publication of this theory, given its potential implications for public health.

An easy-to-perform protocol for culturing primary murine lung tumor cells as organoids

Cancer research involves significant animal consumption and suffering. Tumor cells can be differentiated in vitro into three-dimensional organoids that resemble the primary tumor. In basic cancer research, however, tumor organoids are usually only used alongside animal experiments. We have established an easy-to-perform protocol that allows to culture KRAS-driven lung tumor cells as organoids for extended periods of time. Like the corresponding tumors in mice, the organoids produce surfactant protein C but no markers of airway epithelial cells (e.g. SCGB1A1, KRT5). The organoids can be passaged as single cell suspensions. Our organoid model contributes to replace animal experiments with cell culture systems and can be used for drug testing or functional studies in cancer research.

Gelatin nanoparticles loaded with 3-alkylpyridinium salt APS7, an analog of marine toxin, are a promising support in human lung cancer therapy

This study demonstrates the potential of gelatin nanoparticles as a nanodelivery system for antagonists of nicotinic acetylcholine receptors (nAChRs) to improve chemotherapy efficacy and reduce off-target effects. Too often, chemotherapy for lung cancer does not lead to satisfactory results. Therefore, new approaches directed at multiple pharmacological targets in cancer therapy are being developed. Following the activation of nAChRs (e.g. by nicotine), cancer cells begin to proliferate and become more resistant to chemotherapy-induced apoptosis. This work shows that the 3-alkylpyridinium salt, APS7, a synthetic analog of a toxin from the marine sponge Haliclona (Rhizoneira) sarai, acts as an nAChR antagonist that inhibits the pro-proliferative and anti-apoptotic effects of nicotine on A549 human lung adenocarcinoma cells. In this study, gelatin-based nanoparticles filled with APS7 (APS7-GNPs) were prepared and their effects on A549 cells were compared with that of free APS7. Both APS7 and APS7-GNPs inhibited Ca2+ influx and increased the efficacy of cisplatin chemotherapy in nicotine-stimulated A549 cells. However, significant benefits from APS7-GNPs were observed - a stronger reduction in the proliferation of A549 lung cancer cells and a much higher selectivity in cytotoxicity towards cancer cells compared with non-tumorigenic lung epithelial BEAS-2B cells.

Research trends in lung cancer and the tumor microenvironment: a bibliometric analysis of studies published from 2014 to 2023

Background

Lung cancer (LC) is one of the most common malignant tumors in the world and the leading cause of cancer-related deaths, which seriously threatens human life and health as well as brings a heavy burden to the society. In recent years, the tumor microenvironment (TME) has become an emerging research field and hotspot affecting tumor pathogenesis and therapeutic approaches. However, to date, there has been no bibliometric analysis of lung cancer and the tumor microenvironment from 2014 to 2023.This study aims to comprehensively summarize the current situation and development trends in the field from a bibliometric perspective.

Methods

The publications about lung cancer and the tumor microenvironment from 2014 to 2023 were extracted from the Web of Science Core Collection (WoSCC). The Microsoft Excel, Origin, R-bibliometrix, CiteSpace, and VOSviewer software are comprehensively used to scientifically analyze the data.

Results

Totally, 763 publications were identified in this study. A rapid increase in the number of publications was observed after 2018. More than 400 organizations published these publications in 36 countries or regions. China and the United States have significant influence in this field. Zhou, CC and Frontiers in Immunology are the most productive authors and journals respectively. Besides, the most frequently cited references were those on lung cancer pathogenesis, clinical trials, and treatment modalities. It suggests that novel lung cancer treatment models mainly based on the TME components, such as cancer-associated fibroblasts (CAFs) may lead to future research trends.

Conclusions

The field of lung cancer and the tumor microenvironment research is still in the beginning stages. Gene expression, molecular pathways, therapeutic modalities, and novel detection technologies in this field have been widely studied by researchers. This is the first bibliometric study to comprehensively summarize the research trend and development regarding lung cancer and tumor microenvironment over the last decade. The result of our research provides the updated perspective for scholars to understand the key information and cutting-edge hotspots in this field, as well as to identify future research directions.

The Role of Inhaled Chitosan-Based Nanoparticles in Lung Cancer Therapy

Lung cancer is the leading cause of cancer-related mortality worldwide, largely due to the limited efficacy of anticancer drugs, which is primarily attributed to insufficient doses reaching the lungs. Additionally, patients undergoing treatment experience severe systemic adverse effects due to the distribution of anticancer drugs to non-targeted sites. In light of these challenges, there has been a growing interest in pulmonary administration of drugs for the treatment of lung cancer. This route allows drugs to be delivered directly to the lungs, resulting in high local concentrations that can enhance antitumor efficacy while mitigating systemic toxic effects. However, pulmonary administration poses the challenge of overcoming the mechanical, chemical, and immunological defenses of the respiratory tract that prevent the inhaled drug from properly penetrating the lungs. To overcome these drawbacks, the use of nanoparticles in inhaler formulations may be a promising strategy. Nanoparticles can assist in minimizing drug clearance, increasing penetration into the lung epithelium, and enhancing cellular uptake. They can also facilitate increased drug stability, promote controlled drug release, and delivery to target sites, such as the tumor environment. Among them, chitosan-based nanoparticles demonstrate advantages over other polymeric nanocarriers due to their unique biological properties, including antitumor activity and mucoadhesive capacity. These properties have the potential to enhance the efficacy of the drug when administered via the pulmonary route. In view of the above, this paper provides an overview of the research conducted on the delivery of anticancer drug-loaded chitosan-based nanoparticles incorporated into inhaled drug delivery devices for the treatment of lung cancer. Furthermore, the article addresses the use of emerging technologies, such as siRNA (small interfering RNA), in the context of lung cancer therapy. Particularly, recent studies employing chitosan-based nanoparticles for siRNA delivery via the pulmonary route are described.

Enhancing anti-cancer capacity: Novel class I/II HDAC inhibitors modulate EMT, cell cycle, and apoptosis pathways

Cancer has been a leading cause of death over the last few decades in western countries as well as in Taiwan. However, traditional therapies are limited by the adverse effects of chemotherapy and radiotherapy, and tumor recurrence may occur. Therefore, it is critical to develop novel therapeutic drugs. In the field of HDAC inhibitor development, apart from the hydroxamic acid moiety, 2-aminobenzamide also functions as a zinc-binding domain, which is shown in well-known HDAC inhibitors such as Entinostat and Chidamide. With recent successful experiences in synthesizing 1-(phenylsulfonyl)indole-based compounds, in this study, we further combined two features of the above chemical compounds and generated indolyl benzamides. Compounds were screened in different cancer cell lines, and enzyme activity was examined to demonstrate their potential for anti-HDAC activity. Various biological functional assays evidenced that two of these compounds could suppress cancer growth and migration capacity, through regulating epithelial-mesenchymal transition (EMT), cell cycle, and apoptosis mechanisms. Data from 3D cancer cells and the in vivo zebrafish model suggested the potential of these compounds in cancer therapy in the future.

Design and experimental validation of a metamaterial-based sensor for microwave imaging in breast, lung, and brain cancer detection

This study proposes an innovative geometry of a microstrip sensor for high-resolution microwave imaging (MWI). The main intended application of the sensor is early detection of breast, lung, and brain cancer. The proposed design consists of a microstrip patch antenna fed by a coplanar waveguide with a metamaterial (MTM) layer-based lens implemented on the back side, and an artificial magnetic conductor (AMC) realized on as a separate layer. The analysis of the AMC's permeability and permittivity demonstrate that the structure exhibits negative epsilon (ENG) qualities near the antenna resonance point. In addition, reflectivity, transmittance, and absorption are also studied. The sensor prototype has been manufactures using the FR4 laminate. Excellent electrical and field characteristics of the structure are confirmed through experimental validation. At the resonance frequency of 4.56 GHz, the realized gain reaches 8.5 dBi, with 3.8 dBi gain enhancement contributed by the AMC. The suitability of the presented sensor for detecting brain tumors, lung cancer, and breast cancer has been corroborated through extensive simulation-based experiments performed using the MWI system model, which employs four copies of the proposed sensor, as well as the breast, lung, and brain phantoms. As demonstrated, the directional radiation pattern and enhanced gain of the sensor enable precise tumor size discrimination. The proposed sensor offers competitive performance in comparison the state-of-the-art sensors described in the recent literature, especially with respect to as gain, pattern directivity, and impedance matching, all being critical for MWI.

Indole Compounds in Oncology: Therapeutic Potential and Mechanistic Insights

Cancer remains a formidable global health challenge, with current treatment modalities such as chemotherapy, radiotherapy, surgery, and targeted therapy often hindered by low efficacy and adverse side effects. The indole scaffold, a prominent heterocyclic structure, has emerged as a promising candidate in the fight against cancer. This review consolidates recent advancements in developing natural and synthetic indolyl analogs, highlighting their antiproliferative activities against various cancer types over the past five years. These analogs are categorized based on their efficacy against common cancer types, supported by biochemical assays demonstrating their antiproliferative properties. In this review, emphasis is placed on elucidating the mechanisms of action of these compounds. Given the limitations of conventional cancer therapies, developing targeted therapeutics with enhanced selectivity and reduced side effects remains a critical focus in oncological research.

Natural Compounds for Preventing Age-Related Diseases and Cancers

Aging is a multifaceted process influenced by hereditary factors, lifestyle, and environmental elements. As time progresses, the human body experiences degenerative changes in major functions. The external and internal signs of aging manifest in various ways, including skin dryness, wrinkles, musculoskeletal disorders, cardiovascular diseases, diabetes, neurodegenerative disorders, and cancer. Additionally, cancer, like aging, is a complex disease that arises from the accumulation of various genetic and epigenetic alterations. Circadian clock dysregulation has recently been identified as an important risk factor for aging and cancer development. Natural compounds and herbal medicines have gained significant attention for their potential in preventing age-related diseases and inhibiting cancer progression. These compounds demonstrate antioxidant, anti-inflammatory, anti-proliferative, pro-apoptotic, anti-metastatic, and anti-angiogenic effects as well as circadian clock regulation. This review explores age-related diseases, cancers, and the potential of specific natural compounds in targeting the key features of these conditions.

Personalizing Therapy Outcomes through Mitogen-Activated Protein Kinase Pathway Inhibition in Non-Small Cell Lung Cancer

Lung cancer (LC) is a highly invasive malignancy and the leading cause of cancer-related deaths, with non-small cell lung cancer (NSCLC) as its most prevalent histological subtype. Despite all breakthroughs achieved in drug development, the prognosis of NSCLC remains poor. The mitogen-activated protein kinase signaling cascade (MAPKC) is a complex network of interacting molecules that can drive oncogenesis, cancer progression, and drug resistance when dysregulated. Over the past decades, MAPKC components have been used to design MAPKC inhibitors (MAPKCIs), which have shown varying efficacy in treating NSCLC. Thus, recent studies support the potential clinical use of MAPKCIs, especially in combination with other therapeutic approaches. This article provides an overview of the MAPKC and its inhibitors in the clinical management of NSCLC. It addresses the gaps in the current literature on different combinations of selective inhibitors while suggesting two particular therapy approaches to be researched in NSCLC: parallel and aggregate targeting of the MAPKC. This work also provides suggestions that could serve as a potential guideline to aid future research in MAPKCIs to optimize clinical outcomes in NSCLC.

Biomonitoring Study of Toxic Metal(loid)s: Levels in Lung Adenocarcinoma Patients

Lung cancer is a leading cause of cancer deaths worldwide. The aim of this study was to investigate heavy metal(loid)s (Cd, Pb, Hg, Cr, Mn, Mo, Ni, and As) in lung cancer patients in order to elucidate their role as lung cancer environmental risk factors. Sixty-three patients of both sexes with adenocarcinoma stage IIIB or IV were enrolled in this research. The heavy metal(loid) urine concentrations were measured using ICP-MS. Arsenic was quantified above 10 μg/L in 44.44% of the samples. Nickel urinary concentrations above the ToxGuide reference levels were found in 50.79% of the samples, while lead was quantified in 9.52% of the urine samples. The urinary chromium levels were above the mean ToxGuide levels in 41.27% of the patients and were significantly higher in men in comparison with women (p = 0.035). The chromium urinary concentrations were positively associated with the CRP serum levels (p = 0.037). Cadmium was quantified in 61.90% of the samples with levels significantly higher in females than in males (p = 0.023), which was associated with smoking habits. Mercury was measured above the limit of quantification in 63.49% of the samples and was not associated with amalgam dental fillings. However, the Hg urinary concentrations were correlated positively with the ALT (p = 0.02), AST (p < 0.001), and GGT (p < 0.001) serum levels. In 46.03% of the samples, the Mo concentrations were above 32 μg/L, the mean value for healthy adults according to the ToxGuide, and 9.52% of the patients had Mn levels higher than 8 μg/L, the reference value for healthy adults based on ToxGuide data. The obtained results are preliminary, and further studies are needed to have a deeper insight into metal(loid) exposure's association with lung cancer development, progression, and survival prediction.

Metabolomics-based search for lung cancer markers among patients with different smoking status

Tobacco smoking is the main etiological factor of lung cancer (LC), which can also cause metabolome disruption. This study aimed to investigate whether the observed metabolic shift in LC patients was also associated with their smoking status. Untargeted metabolomics profiling was applied for the initial screening of changes in serum metabolic profile between LC and chronic obstructive pulmonary disease (COPD) patients, selected as a non-cancer group. Differences in metabolite profiles between current and former smokers were also tested. Then, targeted metabolomics methods were applied to verify and validate the proposed LC biomarkers. For untargeted metabolomics, a single extraction-dual separation workflow was applied. The samples were analyzed using a liquid chromatograph-high resolution quadrupole time-of-flight mass spectrometer. Next, the selected metabolites were quantified using liquid chromatography-triple-quadrupole mass spectrometry. The acquired data confirmed that patients' stratification based on smoking status impacted the discriminating ability of the identified LC marker candidates. Analyzing a validation set of samples enabled us to determine if the putative LC markers were truly robust. It demonstrated significant differences in the case of four metabolites: allantoin, glutamic acid, succinic acid, and sphingosine-1-phosphate. Our research showed that studying the influence of strong environmental factors, such as tobacco smoking, should be considered in cancer marker research since it reduces the risk of false positives and improves understanding of the metabolite shifts in cancer patients.

Oral administration of oligo fucoidan improves the survival rate, quality of life, and immunity in patients with lung cancer

Background

Lung cancer, the most commonly diagnosed cancer globally, has the highest incidence and mortality rates in Taiwan. It can be divided into two types. Non-small cell lung cancer (NSCLC) accounts for approximately 85% of lung cancers, which is further divided into adenocarcinoma, squamous cell carcinoma, and large cell lung cancer accounting for approximately 40%, 25%, and 15% of NSCLC cases, respectively. Small cell lung cancer accounts for approximately 15% of lung cancers. Early systemic therapy NSCLC was based on chemotherapy, and immunotherapy is currently under development. Fucoidan, from brown seaweed extracts, shows promise in mitigating radiation-induced lung fibrosis in animal studies, suggesting its potential as an adjuvant for radiation therapy-related lung fibrosis in lung cancer patients. However, the clinical utility of such adjuvant therapy in lung cancer treatment remains uncertain. The purpose of this study was to investigate the effects of oral administration of oligo-fucoidan on the survival rate, quality of life, and immunity of patients with lung cancer.

Methods

Subjects with Non-small cell lung cancer aged between 20 and 80 were collected from outpatient clinics, divided into control group (n = 7): conventional therapy and fucoidan group (n = 13): received conventional therapy+ oral supplementation of oligo-fucoidan (550 mg × 4 tablets). Data were collected before the study, at weeks 4, 12, and 24 during the study, and to collect 20 ml of peripheral blood, for analysis biochemical data, liver and kidney function, lymphocyte population, inflammation cytokines, and using EORTC QLQ-C30 questionnaire to assess quality of life.

Results

The survival rates of the subjects in the control and fucoidan groups were 20% and 28.6%, respectively. During the study, patients in the fucoidan group experienced a better quality of life than those in the control group, but this difference lacked statistical significance. Oligo-fucoidan increases the CD19 lymphocyte population. The patients in the fucoidan group also had Lower inflammatory cytokine.

Conclusion

Oligo-fucoidan holds promise as an adjuvant therapy to enhance the survival rate, quality of life, and immune function in patients with lung cancer.

Pulmonary nodule detection in low dose computed tomography using a medical-to-medical transfer learning approach

Purpose

Lung cancer is the second most common cancer and the leading cause of cancer death globally. Low dose computed tomography (LDCT) is the recommended imaging screening tool for the early detection of lung cancer. A fully automated computer-aided detection method for LDCT will greatly improve the existing clinical workflow. Most of the existing methods for lung detection are designed for high-dose CTs (HDCTs), and those methods cannot be directly applied to LDCTs due to domain shifts and inferior quality of LDCT images. In this work, we describe a semi-automated transfer learning-based approach for the early detection of lung nodules using LDCTs.

Approach

In this work, we developed an algorithm based on the object detection model, you only look once (YOLO) to detect lung nodules. The YOLO model was first trained on CTs, and the pre-trained weights were used as initial weights during the retraining of the model on LDCTs using a medical-to-medical transfer learning approach. The dataset for this study was from a screening trial consisting of LDCTs acquired from 50 biopsy-confirmed lung cancer patients obtained over 3 consecutive years (T1, T2, and T3). About 60 lung cancer patients' HDCTs were obtained from a public dataset. The developed model was evaluated using a hold-out test set comprising 15 patient cases (93 slices with cancerous nodules) using precision, specificity, recall, and F1-score. The evaluation metrics were reported patient-wise on a per-year basis and averaged for 3 years. For comparative analysis, the proposed detection model was trained using pre-trained weights from the COCO dataset as the initial weights. A paired t-test and chi-squared test with an alpha value of 0.05 were used for statistical significance testing.

Results

The results were reported by comparing the proposed model developed using HDCT pre-trained weights with COCO pre-trained weights. The former approach versus the latter approach obtained a precision of 0.982 versus 0.93 in detecting cancerous nodules, specificity of 0.923 versus 0.849 in identifying slices with no cancerous nodules, recall of 0.87 versus 0.886, and F1-score of 0.924 versus 0.903. As the nodule progressed, the former approach achieved a precision of 1, specificity of 0.92, and sensitivity of 0.930. The statistical analysis performed in the comparative study resulted in a p -value of 0.0054 for precision and a p -value of 0.00034 for specificity.

Conclusions

In this study, a semi-automated method was developed to detect lung nodules in LDCTs using HDCT pre-trained weights as the initial weights and retraining the model. Further, the results were compared by replacing HDCT pre-trained weights in the above approach with COCO pre-trained weights. The proposed method may identify early lung nodules during the screening program, reduce overdiagnosis and follow-ups due to misdiagnosis in LDCTs, start treatment options in the affected patients, and lower the mortality rate.

An agent-based modelling framework to study growth mechanisms in EGFR-L858R mutant cell alveolar type II cells

Mutations in the epidermal growth factor receptor (EGFR) are common in non-small cell lung cancer (NSCLC), particularly in never-smoker patients. However, these mutations are not always carcinogenic, and have recently been reported in histologically normal lung tissue from patients with and without lung cancer. To investigate the outcome of EGFR mutation in healthy lung stem cells, we grow murine alveolar type II organoids monoclonally in a three-dimensional Matrigel. Our experiments show that the EGFR-L858R mutation induces a change in organoid structure: mutated organoids display more 'budding', in comparison with non-mutant controls, which are nearly spherical. We perform on-lattice computational simulations, which suggest that this can be explained by the concentration of division among a small number of cells on the surface of the mutated organoids. We are currently unable to distinguish the cell-based mechanisms that lead to this spatial heterogeneity in growth, but suggest a number of future experiments which could be used to do so. We suggest that the likelihood of L858R-fuelled tumorigenesis is affected by whether the mutation arises in a spatial environment that allows the development of these surface protrusions. These data may have implications for cancer prevention strategies and for understanding NSCLC progression.

Integrating machine learning and single-cell analysis to uncover lung adenocarcinoma progression and prognostic biomarkers

The progression of lung adenocarcinoma (LUAD) from atypical adenomatous hyperplasia (AAH) to invasive adenocarcinoma (IAC) involves a complex evolution of tumour cell clusters, the mechanisms of which remain largely unknown. By integrating single-cell datasets and using inferCNV, we identified and analysed tumour cell clusters to explore their heterogeneity and changes in abundance throughout LUAD progression. We applied gene set variation analysis (GSVA), pseudotime analysis, scMetabolism, and Cytotrace scores to study biological functions, metabolic profiles and stemness traits. A predictive model for prognosis, based on key cluster marker genes, was developed using CoxBoost and plsRcox (CPM), and validated across multiple cohorts for its prognostic prediction capabilities, tumour microenvironment characterization, mutation landscape and immunotherapy response. We identified nine distinct tumour cell clusters, with Cluster 6 indicating an early developmental stage, high stemness and proliferative potential. The abundance of Clusters 0 and 6 increased from AAH to IAC, correlating with prognosis. The CPM model effectively distinguished prognosis in immunotherapy cohorts and predicted genomic alterations, chemotherapy drug sensitivity, and immunotherapy responsiveness. Key gene S100A16 in the CPM model was validated as an oncogene, enhancing LUAD cell proliferation, invasion and migration. The CPM model emerges as a novel biomarker for predicting prognosis and immunotherapy response in LUAD patients, with S100A16 identified as a potential therapeutic target.

Perioperative Challenges: Analysis of Surgical Complications in Screening Lung Carcinoma Patient

Introduction In September 2020, the Institute for Pulmonary Diseases of Vojvodina (IPBV) started a lung cancer screening program using low-dose computed tomography (LDCT). Video-assisted thoracic surgery (VATS) lobectomy is the most effective treatment for early-stage lung cancer. However, the frequency of postoperative complications in VATS anatomical lung resections among patients enrolled in the screening program has not been adequately studied. This study aims to compare the frequency of surgical complications and length of hospital stay between patients enrolled in the screening program and a control group. Methods Retrospective, observational, monocentric, non-randomized study was conducted at the IPBV in Sremska Kamenica. The study included patients with a confirmed diagnosis of lung cancer who underwent anatomic pulmonary resection with mediastinal lymphadenectomy for therapeutic purposes. The patients were divided into two groups: the first group consisted of 34 patients who participated in the lung carcinoma screening program, while the second control group consisted of 102 patients. Over the past three years, all patients identified with nodules suspicious of malignancy during the screening program were sequentially enrolled in the screening group. For the control group, patients were selected based on a matching process to ensure valid statistical comparisons with the screening group. They were matched in a 3:1 ratio with patients from the screening group based on criteria including gender, disease stage, pathohistological type of cancer, tumor, node, and metastasis (TNM) stage of the disease, and degree of surgical resection. Patients were monitored for demographic parameters, smoking status, presence of comorbidities and prior oncological diseases, pulmonary function parameters, level of pre-operational risk, the number of lymph nodes removed by biopsies, spread through alveolar spaces (STAS), and the occurrence of complications after surgery (infection, bleeding, air leak, presence of adhesions), re-drainage, and length of hospital stay. Results The patients in the screening group had a higher incidence of infections, bleeding, prolonged air leak, and required re-drainage after surgery compared to the control group. Patients from the screening program with a high operative risk, prolonged air leak, and pleural adhesions had a statistically significant higher hospital stay longer than the control group. Conclusions This research emphasizes the importance of screening programs for detecting lung cancer in the early stages. However, it also highlights the need for further research to reduce surgical complications and improve therapeutic interventions for patients in the screening program.

PCDH11X mutation as a potential biomarker for immune checkpoint therapies in lung adenocarcinoma

Immune checkpoint inhibitors (ICIs) have achieved impressive success in lung adenocarcinoma (LUAD). However, the response to ICIs varies among patients, and predictive biomarkers are urgently needed. PCDH11X is frequently mutated in LUAD, while its role in ICI treatment is unclear. In this study, we curated genomic and clinical data of 151 LUAD patients receiving ICIs from three independent cohorts. Relations between PCDH11X and treatment outcomes of ICIs were examined. A melanoma cohort collected from five published studies, a pan-cancer cohort, and non-ICI-treated TCGA-LUAD cohort were also examined to investigate whether PCDH11X mutation is a specific predictive biomarker for LUAD ICI treatment. Among the three ICI-treated LUAD cohorts, PCDH11X mutation (PCDH11X-MUT) was associated with better clinical response compared to wild-type PCDH11X (PCDH11X-WT). While in ICI-treated melanoma cohort, the pan-cancer cohort excluding LUAD, and the non-ICI-treated TCGA-LUAD cohort, no significant differences in overall survival (OS) were observed between the PCDH11X-MUT and PCDH11X-WT groups. PCDH11X mutation was associated with increased PD-L1 expression, tumor mutation burden (TMB), neoantigen load, DNA damage repair (DDR) mutations, and hot tumor microenvironment in TCGA-LUAD cohort. Our findings suggested that the PCDH11X mutation might serve as a specific biomarker to predict the efficacy of ICIs for LUAD patients. Considering the relatively small sample size of ICI-treated cohorts, future research with larger cohorts and prospective clinical trials will be essential for validating and further exploring the role of PCDH11X mutation in the context of immunotherapy outcomes in LUAD. KEY MESSAGES: PCDH11X mutation is associated with better clinical response compared to wild type PCDH11X in three ICIs-treated LUAD cohorts. In ICIs-treated melanoma cohort, the pan-cancer cohort excluding LUAD, and non-ICIs-treated TCGA-LUAD cohorts PCDH11X mutation is not associated with better clinical response, suggesting PCDH11X mutation might be a specific biomarker to predict the efficacy of ICIs treatment for LUAD patients. PCDH11X mutation is associated with increased PD-L1 expression, tumor mutation burden, and neoantigen load in TCGA-LUAD cohort. PCDH11X mutation is associated with hot tumor microenvironment in TCGA-LUAD cohort.

Effects of Isoflurane on the Cell Pyroptosis in the Lung Cancer Through the HMGB1/RAGE Pathway

There are many common malignant tumors in clinic. Among them, lung cancer is caused by the failure of suction system, which seriously threatens the life safety of patients. Recent studies have found that anesthetics have achieved certain efficacy in many cancers. Isoflurane, an inhaled anesthetic, is used in this study to explore whether it can prevent the lung cancer development. The A549 and H1299 were purchased. Cell viability was tested by CCK-8 experiment. Cell death and pyroptosis were analyzed by PI staining as well as flow cytometry. HMGB1 as well as RAGE protein levels were tested by Western blot. The same is true of pyroxin-related proteins. The HMGB1 as well as RAGE levels in the lung cancer tissues were determined by Western blot along with immunohistochemistry. Isoflurane treatment can reduce cell viability and promote cell pyroptosis. Additionally, the protein levels of cleaved caspase-1, IL-1β, GSDMD-N, NLRP3, HMGB1, and RAGE were dramatically up-regulated in the lung cancer after isoflurane treatment. Down-regulated proteins in lung cancer tissues include HMGB1 and RAGE proteins. After HMGB1 knockdown or FPS-ZM1 treatment, the role of isoflurane in the lung cancer was neutralized. This study demonstrated that isoflurane induced the cell pyroptosis in the lung cancer through activating the HMGB1/RAGE pathway.

Clinical significance and immune landscape of a novel immune cell infiltration-based prognostic model in lung adenocarcinoma

Tumor-infiltrating immune cells (TICs) play a central role in the tumor microenvironment, which can reflect the host anti-tumor immune response. However, few studies have explored TICs in predicting the prognosis of lung adenocarcinoma (LUAD). In our study, we enrolled 2470 LUAD patients from TCGA and GEO databases, and the normalized enrichment scores for 65 immune cell types were quantified for each patient. An immune-related risk score (IRRS) was built on the basis of 17 selected TICs using LASSO regression analysis, and the results showed that high-risk patients were correlated with shorter survival time for the LUAD cohorts. Correlation analyses between IRRS and clinical characteristics were also evaluated to validate the clinical use of IRRS. In addition, we analyzed the differences in the distribution of immune cell infiltration and immunoregulatory gene expression, which may facilitate individual immunotherapy. Based on the above result, we conclude that IRRS can act as a powerful predictor for risk stratification and prognosis prediction, and may facilitate the decision-making process for LUAD patients.

Integrated bulk and single-cell RNA sequencing identifies an aneuploidy-based gene signature to predict sensitivity of lung adenocarcinoma to traditional chemotherapy drugs and patients' prognosis

Background

Patients with lung adenocarcinoma (LUAD) often develop a poor prognosis. Currently, researches on prognostic and immunotherapeutic capacity of aneuploidy-related genes in LUAD are limited.

Methods

Genes related to aneuploidy were screened based on bulk RNA sequencing data from public databases using Spearman method. Next, univariate Cox and Lasso regression analyses were performed to establish an aneuploidy-related riskscore (ARS) model. Results derived from bioinformatics analysis were further validated using cellular experiments. In addition, typical LUAD cells were identified by subtype clustering, followed by SCENIC and intercellular communication analyses. Finally, ESTIMATE, ssGSEA and CIBERSORT algorithms were employed to analyze the potential relationship between ARS and tumor immune environment.

Results

A five-gene ARS signature was developed. These genes were abnormally high-expressed in LUAD cell lines, and in particular the high expression of CKS1B promoted the proliferative, migratory and invasive phenotypes of LUAD cell lines. Low ARS group had longer overall survival time, higher degrees of inflammatory infiltration, and could benefit more from receiving immunotherapy. Patients in low ASR group responded more actively to traditional chemotherapy drugs (Erlotinib and Roscovitine). The scRNA-seq analysis annotated 17 cell subpopulations into seven cell clusters. Core transcription factors (TFs) such as CREB3L1 and CEBPD were enriched in high ARS cell group, while TFs such as BCLAF1 and UQCRB were enriched in low ARS cell group. CellChat analysis revealed that high ARS cell groups communicated with immune cells via SPP1 (ITGA4-ITGB1) and MK (MDK-NCl) signaling pathways.

Conclusion

In this research, integrative analysis based on the ARS model provided a potential direction for improving the diagnosis and treatment of LUAD.

Preliminary effects of a yoga intervention for lung cancer dyads: benefits for care partners

PURPOSE

Lung cancer is a disease with high mortality and morbidity, impacting both the patient and their closest contact, referred to in this paper as their care partner. There is limited evidence on how to support mental health and quality of life (QOL) for patient-care partner dyads during cancer treatment. This pilot study examines yoga as an intervention to improve well-being for the dyad.

METHODS

A single-group, 12-week pilot trial of yoga for patients and their care partners recruited from two hospitals during cancer treatment (N = 23 patient-partner dyads or 46 individuals). Most care partners were spouses (70%), with the remainder being adult children (22%), a sibling (4%), or a friend (4%). Descriptive statistics, Cohen's d effect sizes, and paired t-tests for validated psychosocial measures were calculated at baseline and 12 weeks.

RESULTS

Sixty-five percent of dyads (N = 13) completed the study, with withdrawals mostly due to disease progression. Among care partners, there was a decrease in depression symptomology on the PHQ-8 (p = 0.015, Cohen's d = 0.96) and improvement in QOL on the Caregiver QOL-Cancer scale (p = 0.001, Cohen's d = 0.61). Fifty percent of dyads experienced concordant improvement in depressive symptoms and 77% in QOL.

CONCLUSION

Patient-partner yoga is a promising intervention for improving mental health and QOL for patient-partner dyads among lung cancer survivors. This study demonstrates yoga to be acceptable, feasible, and with high concordance within patient-partner dyads for improvements in QOL. Yoga shows promise for patients and care partners to alleviate the negative psychosocial impacts of lung cancer, though more research is needed to confirm effects.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT03649737, 12/9/2020.

Functional and Disability Outcomes in NSCLC Patients Post-Lobectomy Undergoing Pulmonary Rehabilitation: A Biopsychosocial Approach

Worldwide, lung cancer remains the predominant cause of cancer cases and deaths and poses significant health challenges, with surgical resection being a key treatment. Post-surgery, patients often experience functional impairments. This study aimed to develop a comprehensive ICF version for assessing the functional profile and disability in lung cancer patients post-thoracic surgery undergoing pulmonary rehabilitation using the ICF and WHODAS 2.0 tool. We analyzed the correlation between the ICF Core Set and WHODAS 2.0 data to understand the impact on daily functioning. This study included 50 patients (23 F, 27 M) from the Clinic of Thoracic Surgery and Respiratory Rehabilitation in Lodz. Essential ICF codes were determined using the Delphi method, and assessments were conducted on the third day post-operation. Statistical analyses included various tests with α = 0.05. The results showed no impairments in voice functions (b310), respiration rates (b4400), and diaphragm functions (b4451), but there were significant issues with chest pain (b28011), respiratory muscle functions (b445), exercise tolerance (b455), and muscle endurance (b740). In Activities and Participation and Environmental Factors, most codes were not problematic, except for employment (d845, d850) and atmospheric pressure (e2252). Significant correlations were found between mobility limitations (d410, d460) and self-care (d510, d540) with the WHODAS 2.0 results. The comprehensive ICF Core Set effectively described the functional profile of post-surgery patients, confirming its utility and highlighting the impact of disability on daily functioning.

Long Noncoding RNA PSMB8-AS1 Mediates the Tobacco-Carcinogen-Induced Transformation of a Human Bronchial Epithelial Cell Line by Regulating Cell Cycle

Lung cancer is the main cause of cancer deaths around the world. Nitrosamine 4-(methyl nitrosamine)-1-(3-pyridyl)-1-butanone (NNK) is a tobacco-specific carcinogen of lung cancer. Abundant evidence implicates long noncoding RNAs (lncRNAs) in tumorigenesis. Yet, the effects and mechanisms of lncRNAs in NNK-induced carcinogenesis are still unclear. In this study, we discovered that NNK-induced transformed Beas-2B cells (Beas-2B-NNK) showed increased cell migration and proliferation while decreasing rates of apoptosis. RNA sequencing and differentially expressed lncRNAs analyses showed that lncRNA PSMB8-AS1 was obviously upregulated. Interestingly, silencing the lncRNA PSMB8-AS1 in Beas-2B-NNK cells reduced cell proliferation and migration and produced cell cycle arrest in the G2/M phase along with a decrease in CDK1 expression. Conclusively, our results demonstrate that lncRNA PSMB8-AS1 could promote the malignant characteristics of Beas-2B-NNK cells by regulating CDK1 and affecting the cell cycle, suggesting that it may supply a new prospective epigenetic mechanism for lung cancer.

Exploring the effect of epigallocatechin gallate on non small cell lung cancer

INTRODUCTION

Human epidemiological studies have shown that diets rich in plant polyphenols have beneficial effects on various diseases including cancer. Epigallocatechin Gallate, a flavonoid polyphenol molecule, has been shown to be both chemotherapeutic and chemo-preventive in the treatment of several forms of cancer, including lung cancer. 80% of cancers of the lungs are non-small cell lung cancers.

OBJECTIVE

The study was carried out to see the effects of Epigallocatechin Gallate in non-small cell lung cancer cells (A549) using in-vitro studies.

MATERIALS AND METHODS

Cell Viability Assay was performed using MTT (3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide) assay. Wound Healing assay was also performed at different concentrations of the compound. Dexamethasone and Doxorubicin, the drugs with anti-cancer properties served as control. A549 cell lines were used.

RESULTS

In the current study, it was demonstrated using Cell viability assay and Wound Healing assay that Epigallocatechin gallate exhibits anti-proliferative activity on A549 lung cancer cells and inhibits cancer cell proliferation in a concentration and time-dependent manner. It was observed that Epigallocatechin gallate (P = 0.0016, P = 0.0018) could significantly inhibit the growth of lung cancer cells with IC50 values 60.55 ± 1.0 μM. The result of wound Healing assay suggests that Epigallocatechin gallate can inhibit the proliferation and migration of A549 cells with concentrations near or higher to 50 μM.

CONCLUSION

Epigallocatechin gallate's protective effect has been shown in A549 lung adenocarcinoma cells in a time and dose-dependent manner. This suggests the implication of Epigallocatechin gallate for the prevention and therapy for lung cancer.

Prognostic value of body mass index for first-line chemoimmunotherapy combinations in advanced non-small cell lung cancer in Chinese population

Background

Few studies have examined the correlation between body mass index (BMI) and effectiveness of first-line chemoimmunotherapy in patients with advanced non-small cell lung cancer (NSCLC); moreover, the conclusion remains elusive and no such studies have been conducted in the Chinese population. Our study aimed to validate the predictive significance of BMI in Chinese patients with advanced NSCLC receiving first-line chemoimmunotherapy combinations.

Methods

Data of patients with advanced NSCLC treated with first-line chemoimmunotherapy between June 2018 and February 2022 at three centers were retrieved retrospectively. The association between baseline BMI with progression-free survival (PFS) and overall survival (OS) was evaluated using the Kaplan-Meier method and Cox regression models. BMI was categorized according to the World Health Organization criteria.

Results

Of the included 805 patients, 5.3 % were underweight, 63.4 % had normal weight, 27.8 % were overweight, and 3.5 % were obese. Survival analysis showed that patients in the high BMI group had significantly better PFS (p = 0.012) and OS (p = 0.014) than those in the low BMI group. Further, patients in the overweight subgroup had better PFS (p = 0.036) and OS (p = 0.043) compared to the normal weight population. The results of Cox regression analysis confirmed the correlations between BMI and prognosis of advanced NSCLC patients receiving first-line chemoimmunotherapy combinations.

Conclusions

Baseline BMI affected the clinical outcomes of first-line chemoimmunotherapy combinations in patients with advanced NSCLC, and was especially favorable for the overweight subgroup.

Understanding the HPV associated cancers: A comprehensive review

Human papillomavirus (HPV), a common cause of sexually transmitted diseases, may cause warts and lead to various types of cancers, which makes it important to understand the risk factors associated with it. HPV is the leading risk factor and plays a crucial role in the progression of cervical cancer. Viral oncoproteins E6 and E7 play a pivotal role in this process. Beyond cervical cancer, HPV-associated cancers of the mouth and throat are also increasing. HPV can also contribute to other malignancies like penile, vulvar, and vaginal cancers. Emerging evidence links HPV to these cancers. Research on the oncogenic effect of HPV is still ongoing and explorations of screening techniques, vaccination, immunotherapy and targeted therapeutics are all in progress. The present review offers valuable insight into the current understanding of the role of HPV in cancer and its potential implications for treatment and prevention in the future.