Research progress on the tsRNA biogenesis, function, and application in lung cancer.

In recent years, there has been a mounting occurrence of lung cancer, which stands as one of the most prevalent malignancies globally. This rise in incidence poses a significant hazard to human health, making lung cancer a matter of grave concern. It has been shown that tRNA-derived small non-coding RNA (tsRNA) is involved in the development of tumors, especially lung cancer, through mechanisms such as regulating mRNA stability, influencing protein translation, and acting as epigenetic regulators. Recent studies have shown that tsRNA is abnormally expressed in the plasma and tissues of lung cancer patients, and its expression level is closely related to the malignancy degree and postoperative recurrence of lung cancer. Therefore, for lung cancer patients, tsRNA represents a promising non-invasive biomarker, exhibiting significant potential for facilitating early diagnosis and prognostic evaluation, and for achieving precision treatment of lung cancer by regulating its expression. This article focuses on the biogenesis of tsRNA and its ability to promote lung cancer cell proliferation and invasion. In addition, the specific clinical significance of tsRNA in lung cancer was discussed. Finally, we discuss the need for further improvement of small RNA sequencing technology, and the future research directions and strategies of tsRNA in lung cancer and tumor diseases were summarized.

Perilla frutescens leaf extracts alleviate acute lung injury in mice by inhibiting KAT2A.

ETHNOPHARMACOLOGICAL RELEVANCE: Acute lung injury (ALI) can lead to respiratory failure and even death. KAT2A is a key target to suppress the development of inflammation. A herb, perilla frutescens, is an effective treatment for pulmonary inflammatory diseases with anti-inflammatory effects; however, its mechanism of action remains unclear. AIM OF THE STUDY: The purpose of this study was to investigate the therapeutic effect and underlying mechanism of perilla frutescens leaf extracts (PLE), in the treatment of ALI by focusing on its ability to treat inflammation. MATERIALS AND METHODS: In vivo and in vitro models of ALI induced by LPS. Respiratory function, histopathological changes of lung, and BEAS-2B cells damage were assessed upon PLE. This effect is also tested under conditions of KAT2A over expression and KAT2A silencing. RESULTS: PLE significantly attenuated LPS-induced histopathological changes in the lungs, improved respiratory function, and increased survival rate from LPS stimuation background in mice. PLE remarkably suppressed the phosphorylation of STAT3, AKT, ERK (1/2) and the release of cytokines (IL-6, TNF-α, and IL-1ß) induced by LPS via inhibiting the expression of KAT2A. CONCLUSIONS: PLE has a dose-dependent anti-inflammatory effect by inhibiting KAT2A expression to suppress LPS-induced ALI n mice. Our study expands the clinical indications of the traditional medicine PLE and provide a theoretical basis for clinical use of acute lung injury.

Dachengqi decoction dispensing granule ameliorates LPS-induced acute lung injury by inhibiting PANoptosis in vivo and in vitro.

ETHNOPHARMACOLOGICAL RELEVANCE: Acute lung injury (ALI) is a serious health-threatening syndrome of intense inflammatory response in the lungs, with progression leading to acute respiratory distress syndrome (ARDS). Dachengqi decoction dispensing granule (DDG) has a pulmonary protective role, but its potential modulatory mechanism to alleviate ALI needs further excavation. AIM OF THE STUDY: This study aims to investigate the effect and potential mechanism of DDG on lipopolysaccharide (LPS)-induced ALI models in vivo and in vitro. MATERIALS AND METHODS: LPS-treated Balb/c mice and BEAS-2B cells were used to construct in vivo and in vitro ALI models, respectively. Hematoxylin-eosin (HE), Wet weight/Dry weight (W/D) calculation of lung tissue, and total protein and Lactic dehydrogenase (LDH) assays in BALF were performed to assess the extent of lung tissue injury and pulmonary edema. Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of tumor necrosis factor-alpha (TNF-α), interleukin-1ß (IL-1ß), and interleukin-18 (IL-18) in BALF, serum, and cell supernatant. The qRT-PCR was used to detect inflammatory factors, Z-DNA binding protein 1 (ZBP1), and receptor-interacting protein kinase 1 (RIPK1) expression in lung tissues and BEAS-2B cells. Double immunofluorescence staining and co-immunoprecipitation were used to detect the relative expression and co-localization of ZBP1 and RIPK1. The effects of LPS and DDG on BEAS-2B cell activity were detected by Cell Counting Kit-8 (CCK-8). Western blot (WB) was performed to analyze the expression of PANoptosis-related proteins in lung tissues and BEAS-2B cells. RESULTS: In vivo, DDG pretreatment could dose-dependently improve the pathological changes of lung tissue in ALI mice, and reduce the W/D ratio of lung, total protein concentration, and LDH content in BALF. In vitro, DDG reversed the inhibitory effect of LPS on BEAS-2B cell viability. Meanwhile, DDG significantly reduced the levels of inflammatory factors in vitro and in vivo. In addition, DDG could inhibit the expression levels of PANoptosis-related proteins, especially the upstream key regulatory molecules ZBP1 and RIPK1. CONCLUSION: DDG could inhibit excessive inflammation and PANoptosis to alleviate LPS-induced ALI, thus possessing good anti-inflammatory and lung-protective effects. This study establishes a theoretical basis for the further development of DDG and provides a new prospect for ALI treatment by targeting PANoptosis.

Shuangdan Jiedu Decoction improved LPS-induced acute lung injury by regulating both cGAS-STING pathway and inflammasome.

ETHNOPHARMACOLOGICAL RELEVANCE: Shuangdan Jiedu Decoction (SJD) is a formula composed of six Chinese herbs with heat-removing and detoxifying, antibacterial, and anti-inflammatory effects, which is clinically used in the therapy of various inflammatory diseases of the lungs including COVID-19, but the therapeutic material basis of its action as well as its molecular mechanism are still unclear. AIM OF THE STUDY: The study attempted to determine the therapeutic effect of SJD on LPS-induced acute lung injury (ALI), as well as to investigate its mechanism of action and assess its therapeutic potential for the cure of inflammation-related diseases in the clinical setting. MATERIALS AND METHODS: We established an ALI model by tracheal drip LPS, and after the administration of SJD, we collected the bronchoalveolar lavage fluid (BALF) and lung tissues of mice and examined the expression of inflammatory factors in them. In addition, we evaluated the effects of SJD on the cyclic guanosine monophosphate-adenosine monophosphate synthase -stimulator of interferon genes (cGAS-STING) and inflammasome by immunoblotting and real-time quantitative polymerase chain reaction (RT-qPCR). RESULTS: We demonstrated that SJD was effective in alleviating LPS-induced ALI by suppressing the levels of pro-inflammatory cytokines in the BALF, improving the level of lung histopathology and the number of neutrophils, as well as decreasing the inflammatory factor-associated gene expression. Importantly, we found that SJD could inhibit multiple stimulus-driven activation of cGAS-STING and inflammasome. Further studies showed that the Chinese herbal medicines in SJD had no influence on the cGAS-STING pathway and inflammasome alone at the formulated dose. By increasing the concentration of these herbs, we observed inhibitory effects on the cGAS-STING pathway and inflammasome, and the effect exerted was maximal when the six herbs were combined, indicating that the synergistic effects among these herbs plays a crucial role in the anti-inflammatory effects of SJD. CONCLUSIONS: Our research demonstrated that SJD has a favorable protective effect against ALI, and its mechanism of effect may be associated with the synergistic effect exerted between six Chinese medicines to inhibit the cGAS-STING and inflammasome abnormal activation. These results are favorable for the wide application of SJD in the clinic as well as for the development of drugs for ALI from herbal formulas.

Accuracy study of Angiotensin 1-7 composite index test to predict pulmonary fibrosis and guide treatment.

BACKGROUND: Pulmonary fibrosis can develop after acute respiratory distress syndrome (ARDS). The hypothesis is we are able to measure phenotypes that lie at the origin of ARDS severity and fibrosis development. The aim is an accuracy study of prognostic circulating biomarkers. METHODS: A longitudinal study followed COVID-related ARDS patients with medical imaging, pulmonary function tests and biomarker analysis, generating 444 laboratory data. Comparison to controls used non-parametrical statistics; p < 0·05 was considered significant. Cut-offs were obtained through receiver operating curve. Contingency tables revealed predictive values. Odds ratio was calculated through logistic regression. RESULTS: Angiotensin 1-7 beneath 138 pg/mL defined Angiotensin imbalance phenotype. Hyper-inflammatory phenotype showed a composite index test above 34, based on high Angiotensin 1-7, C-Reactive Protein, Ferritin and Transforming Growth Factor-ß. Analytical study showed conformity to predefined goals. Clinical performance gave a positive predictive value of 95 % (95 % confidence interval, 82 %-99 %), and a negative predictive value of 100 % (95 % confidence interval, 65 %-100 %). Those severe ARDS phenotypes represented 34 (Odds 95 % confidence interval, 3-355) times higher risk for pulmonary fibrosis development (p < 0·001). CONCLUSIONS: Angiotensin 1-7 composite index is an early and objective predictor of ARDS evolving to pulmonary fibrosis. It may guide therapeutic decisions in targeted phenotypes.

Pulmonary delivery of silver nanoparticles prevents influenza infection by recruiting and activating lymphoid cells.

Silver nanoparticles (AgNPs) are a potential antiviral agent due to their ability to disrupt the viral particle or alter the virus metabolism inside the host cell. In vitro, AgNPs exhibit antiviral activity against the most common human respiratory viruses. However, their capacity to modulate immune responses during respiratory viral infections has yet to be explored. This study demonstrates that administering AgNPs directly into the lungs prior to infection can reduce viral loads and therefore virus-induced cytokines in mice infected with influenza virus or murine pneumonia virus. The prophylactic effect was diminished in mice with depleted lymphoid cells. We showed that AgNPs-treatment resulted in the recruitment and activation of lymphocytes in the lungs, particularly natural killer (NK) cells. Mechanistically, AgNPs enhanced the ability of alveolar macrophages to promote both NK cell migration and IFN-γ production. By contrast, following infection, in mice treated with AgNPs, NK cells exhibited decreased activation, indicating that these nanoparticles can regulate the potentially deleterious activation of these cells. Overall, the data suggest that AgNPs may possess prophylactic antiviral properties by recruiting and controlling the activation of lymphoid cells through interaction with alveolar macrophages.

S100A16 stabilizes the ITGA3­mediated ECM­receptor interaction pathway to drive the malignant properties of lung adenocarcinoma cells via binding MOV10.

Lung adenocarcinoma (LUAD) is highly associated with lung cancer­associated mortality. Notably, S100 calcium­binding protein A16 (S100A16) has been increasingly considered to have prognostic value in LUAD; however, the underlying mechanism remains unknown. In the present study, S100A16 expression levels in LUAD tissues and cells were respectively analyzed by the UALCAN database and western blotting. Cell Counting Kit­8 and 5­ethynyl­2'­deoxyuridine assays were used to examine cell proliferation, whereas wound healing, Transwell and tube formation assays were used to assess cell migration, invasion and angiogenesis, respectively. Western blotting was also used to examine the expression levels of proteins associated with metastasis, angiogenesis, focal adhesion and the extracellular matrix (ECM)­receptor interaction pathways. The relationship between S100A16 and Mov10 RNA helicase (MOV10) was predicted by bioinformatics tools, and was verified using a co­immunoprecipitation assay. Furthermore, the interaction between MOV10 and integrin α3 (ITGA3) was verified by RNA immunoprecipitation assay, and the actinomycin D assay was used to detect ITGA3 mRNA stability. The results demonstrated that S100A16 expression was increased in LUAD tissues and cell lines, and was associated with unfavorable outcomes. Knocking down S100A16 expression hindered the proliferation, migration, invasion and angiogenesis of LUAD cells. Furthermore, S100A16 was shown to bind to MOV10 and positively modulate MOV10 expression in LUAD cells, while MOV10 overexpression partially reversed the suppressive role of S100A16 knockdown on the aggressive phenotypes of LUAD cells. Furthermore, it was demonstrated that S100A16 regulated the stability of ITGA3 mRNA via MOV10 to mediate ECM­receptor interactions. In conclusion, S100A16 may bind to MOV10 to stabilize ITGA3 mRNA and regulate ECM­receptor interactions, hence contributing to the malignant progression of LUAD.

Lung nodule localization and size estimation on chest tomosynthesis.

Purpose: We aim to investigate the localization, visibility, and measurement of lung nodules in digital chest tomosynthesis (DTS). Approach: Computed tomography (CT), maximum intensity projections (CT-MIP) (transaxial versus coronal orientation), and computer-aided detection (CAD) were used as location reference, and inter- and intra-observer agreement regarding lung nodule size was assessed. Five radiologists analyzed DTS and CT images from 24 participants with lung nodules ≥ 100 mm 3 , focusing on lung nodule localization, visibility, and measurement on DTS. Visual grading was used to compare if coronal or transaxial CT-MIP better facilitated the localization of lung nodules in DTS. Results: The majority of the lung nodules (79%) were rated as visible in DTS, although less clearly in comparison with CT. Coronal CT-MIP was the preferred orientation in the task of locating nodules on DTS. On DTS, area-based lung nodule size estimates resulted in significantly less measurement variability when compared with nodule size estimated based on mean diameter (mD) ( p < 0.05 ). Also, on DTS, area-based lung nodule size estimates were more accurate ( SEE = 38.7 mm 3 ) than lung nodule size estimates based on mean diameter ( SEE = 42.7 mm 3 ). Conclusions: Coronal CT-MIP images are superior to transaxial CT-MIP images in facilitating lung nodule localization in DTS. Most nodules ≥ 100 mm 3 found on CT can be visualized, correctly localized, and measured in DTS, and area-based measurement may be the key to more precise and less variable nodule measurements on DTS.

Prevalência de tabagismo e morbimortalidade por câncer de pulmão nos estados brasileiros / Smoking prevalence and lung cancer morbimortality in Brazilian states / Prevalencia del tabaquismo y morbimortalidad por cáncer de pulmón en los estados brasileños

Introdução: O câncer de pulmão é uma doença grave, sendo a segunda maior causa de morte em todo o mundo, entretanto, em alguns países desenvolvidos, tornou-se já a primeira causa de morte. Cerca de 90% dos casos de neoplasia pulmonares são causados pela inalação da fumaça do cigarro. Objetivo: Correlacionar a prevalência de tabagismo e morbimortalidade por câncer de pulmão nos estados brasileiros, além de demonstrar a associação destes com sexo e faixa etária. Métodos: Estudo de caráter ecológico acerca da prevalência de tabagismo e morbimortalidade por câncer de pulmão nos estados brasileiros, nos períodos de 2013 e 2019, dividida por sexo e faixa etária. Foram utilizados bancos de coleta de dados como o Tabnet e Pesquisa Nacional de Saúde. Resultados: As maiores taxas de mortalidade e internações hospitalares foram do público masculino, em 2013, com taxa de 2,7 e 10, respectivamente, e em 2019 com 3,3 e 11,9, respectivamente. Ademais, a maior prevalência de tabagismo foi encontrada nos homens; entretanto seu índice tem caído, enquanto a quantidade de mulheres tabagistas tem aumentado. A Região Sul demonstrou maiores números de mortalidade em ambos os períodos estudados, com taxas de 4,9 e 5,8 por 100 mil habitantes, e morbidade hospitalar com 19,9 e 23,5 por 100 mil habitantes. Já a Região Norte se configurou com as menores prevalências: em 2013 apresentou taxa de óbito por câncer de pulmão de 1,0 e morbidade hospitalar de 3,5/100 mil habitantes, em 2019 apresentou taxa de mortalidade de 4,6 e internações de 1,6/100 mil habitantes. Os coeficientes de correlação de morbidade hospitalar e prevalência de tabagismo foram R2=0,0628, r=0,251 e p=0,042, enquanto os de mortalidade e prevalência de tabagismo foram R2=0,0337, r=0,183 e p=0,140. Conclusões: Na presente pesquisa, pode-se inferir que houve associação positiva na comparação entre taxa de morbidade hospitalar e prevalência de tabagismo; em contrapartida, não foi possível observar associação positiva na correlação da taxa de mortalidade por câncer de pulmão e prevalência de tabagismo.

Introduction: Lung cancer is a serious disease, being the second leading cause of death worldwide. Moreover, in some developed countries, it has already become the leading cause of death. About 90% of lung cancer cases are caused by cigarette smoking. Objective: To correlate the prevalence of smoking and lung cancer morbidity and mortality in Brazilian states, and to demonstrate their association with sex and age group as well. Methods: An ecological study on the prevalence of smoking and lung cancer morbidity and mortality in Brazilian states between 2013 and 2019, divided by sex and age group. The data collection databases Tabnet and National Health Survey were used. Results: The highest rates of mortality and hospital admissions were among men, in 2013 with a rate of 2.7 and 10, respectively, and in 2019 with 3.3 and 11.9, respectively. In addition, the highest prevalence of smoking was found in men, but this rate has fallen, while the number of women smokers has increased. The South region showed higher mortality rates in both periods studied, with rates of 4.9 and 5.8 per 100,000 inhabitants, and hospital morbidity with 19.9 and 23.5 per 100,000 inhabitants. The North region had the lowest prevalence, where in 2013, it had a death rate from lung cancer of 1.0 and hospital morbidity of 3.5/100 thousand inhabitants, and where in 2019, it had a mortality rate of 4.6 and hospitalizations of 1.6/100 thousand inhabitants. The correlation coefficients for hospital morbidity and smoking prevalence were R2=0.0628, r=0.251 and p=0.042, while for mortality and smoking prevalence, these were R2=0.0337, r=0.183 and p=0.140. Conclusions: In the present study, it can be inferred that there was a positive association between hospital morbidity rate and prevalence of smoking, while it was not possible to observe a correlation between lung cancer mortality rate and prevalence of smoking.

Introducción: El cáncer de pulmón es una enfermedad grave, siendo la segunda causa de muerte en todo el mundo, sin embargo, en algunos países desarrollados, ya se ha convertido en la primera causa de muerte. Alrededor del 90% de los casos de neoplasias pulmonares están causados por la inhalación del humo del cigarrillo. Objetivo: Correlacionar la prevalencia de tabaquismo y la morbimortalidad por cáncer de pulmón en los estados brasileños, además de demostrar la asociación de estos con el género y el grupo de edad. Métodos: estudio ecológico sobre la prevalencia de tabaquismo y morbimortalidad por cáncer de pulmón en los estados brasileños, dentro de los períodos 2013 y 2019, divididos por sexo y grupo de edad. Se utilizaron bancos de recogida de datos como Tabnet y la Encuesta Nacional de Salud. Resultados: las mayores tasas de mortalidad e ingresos hospitalarios se dieron en el público masculino, en 2013 con una tasa de 2,7 y 10, respectivamente, y en 2019 con 3,3 y 11,9, respectivamente. Además, la mayor prevalencia del tabaquismo se encontró en los hombres, sin embargo, su tasa ha disminuido, mientras que la cantidad de mujeres fumadoras ha aumentado. La región Sur presentó cifras más altas de mortalidad en ambos periodos estudiados, con tasas de 4,9 y 5,8 por 100.000 habitantes, y de morbilidad hospitalaria con 19,9 y 23,5 por 100.000 habitantes. Mientras que la región Norte se configuró con las prevalencias más bajas, en 2013 presentó una tasa de mortalidad por cáncer de pulmón de 1,0 y una morbilidad hospitalaria de 3,5/100.000 habitantes, en 2019 presentó una tasa de mortalidad de 4,6 y hospitalizaciones de 1,6/100.000 habitantes. Los coeficientes de correlación para la morbilidad hospitalaria y la prevalencia del tabaquismo fueron R2=0,0628, r=0,251 y p=0,042, mientras que para la mortalidad y la prevalencia del tabaquismo fueron R2=0,0337, r=0,183 y p=0,140. Conclusiones: En la presente investigación se puede inferir que existe una asociación positiva en la comparación entre la tasa de morbilidad hospitalaria y la prevalencia de tabagismo, en contrapartida, no fue posible observar una asociación positiva en la correlación de la tasa de mortalidad por cáncer de pulmón y la prevalencia de tabagismo.

LNX1-AS2 as a Key Prognostic and Immunotherapy Response Biomarker for Lung Adenocarcinoma.

BACKGROUND: The role of LNX1 antisense RNA 2 (LNX1-AS2) in lung adenocarcinoma (LUAD) remains unclear. OBJECTIVE: This study aimed to investigate the association between LNX1-AS2 and LUAD by employing bioinformatics analysis and experimental validation. METHODS: Statistical analysis and database interrogation were utilized to assess correlations among LNX1-AS2 expression, clinical characteristics of LUAD patients, prognostic factors, regulatory networks, and immune infiltration. LNX1-AS2 expression in LUAD cell lines was quantified using quantitative real-time polymerase chain reaction (qRT-PCR). RESULTS: The study found significantly elevated levels of LNX1-AS2 expression in patients with LUAD. Furthermore, elevated LNX1-AS2 expression in LUAD patients did not significantly correlate with gender (p = 0.041) or race (p = 0.049). Importantly, high LNX1-AS2 expression levels were associated with poorer overall survival (OS, p = 0.042) and disease-specific survival (DSS, p = 0.040) in LUAD patients. Additionally, high LNX1-AS2 expression (p = 0.015) was independently correlated with OS in LUAD patients. The phenotype characterized by high LNX1-AS2 expression was also found to be enriched for asthma, allograft rejection, drug metabolism cytochrome P450, metabolism of xenobiotics by cytochrome P450, olfactory transduction, renin-angiotensin system, retinol metabolism, pentose and glucuronate interconversions, and porphyrin and chlorophyll metabolism. A significant correlation was identified between the expression levels of LNX1-AS2 and immune infiltration in the context of LUAD. Elevated expression of LNX1-AS2 was notably detected in LUAD cell lines as opposed to Beas-2B. CONCLUSION: A noteworthy relationship was established among increased LNX1-AS2 expression in LUAD patients, unfavorable prognosis, and heightened immune infiltration. These findings suggest that the LNX1-AS2 gene could serve as a valuable prognostic indicator for LUAD and a potential predictor of response to immunotherapy.

The role of PD-L1 in patients with non-small cell lung cancer receiving neoadjuvant immune checkpoint inhibitor plus chemotherapy: a meta-analysis.

BACKGROUND: The use of immune checkpoint inhibitors (ICIs) as neoadjuvant therapy is a promising novel approach in resectable non-small-cell lung cancer (NSCLC). This study aimed to investigate the prognostic value of PD-L1 in patients with NSCLC receiving neoadjuvant immune checkpoint inhibitor plus chemotherapy (CT). MATERIALS AND METHODS: Several databases (PubMed, Embase, and cochrane central register of controlled trials [CENTRAL]) were systematically searched. Randomized controlled trials (RCTs) investigating pathological and survival outcomes with neoadjuvant ICI + CT versus CT alone in NSCLC were analyzed. RESULTS: Overall, eight RCTs (n = 3,404) were included. The analyses showed neoadjuvant ICI + CT significantly improved complete pathological response (pCR) and event-free survival (EFS) in either tumor PD-L1 < 1%, ≥ 1%, 1-49%, or ≥ 50% population (both p < 0.0001) compared with neoadjuvant CT alone. The overall survival (OS) data are not yet mature among all included RCTs, and only three RCTs presented OS data by PD-L1 status of patients. The pooled OS favored neoadjuvant ICI + CT in the PD-L1 ≥ 1% population (hazard ratio [HR], 0.45; 95% CI, 0.31-0.65; p < 0.0001), but not in the PD-L1 < 1% population (HR, 0.89; 95% CI, 0.66-1.19; p = 0.43). CONCLUSIONS: Compared with neoadjuvant CT alone, neoadjuvant ICI + CT significantly enhanced pCR and EFS for patients with resectable NSCLC regardless of the expression of PD-L1. It seems that only patients with PD-L1 positive tumors may achieve a better OS, but it's currently inconclusive due to immature data, so future research with long-term follow-up is still needed.

Elevated expression levels of the protein kinase DYRK1B induce mesenchymal features in A549 lung cancer cells.

BACKGROUND: The protein kinase DYRK1B is a negative regulator of cell proliferation but has been found to be overexpressed in diverse human solid cancers. While DYRK1B is recognized to promote cell survival and adaption to stressful conditions, the consequences of elevated DYRK1B levels in cancer cells are largely uncharted. METHODS: To elucidate the role of DYRK1B in cancer cells, we established a A549 lung adenocarcinoma cell model featuring conditional overexpression of DYRK1B. This system was used to characterize the impact of heightened DYRK1B levels on gene expression and to monitor phenotypic and functional changes. RESULTS: A549 cells with induced overexpression of wild type DYRK1B acquired a mesenchymal cell morphology with diminished cell-cell contacts and a reorganization of the pericellular actin cytoskeleton into stress fibers. This transition was not observed in cells overexpressing a catalytically impaired DYRK1B variant. The phenotypic changes were associated with increased expression of the transcription factors SNAIL and SLUG, which are core regulators of epithelial mesenchymal transition (EMT). Further profiling of DYRK1B-overexpressing cells revealed transcriptional changes that are characteristic for the mesenchymal conversion of epithelial cells, including the upregulation of genes that are related to cancer cell invasion and metastasis. Functionally, DYRK1B overexpression enhanced the migratory capacity of A549 cells in a wound healing assay. CONCLUSIONS: The present data identify DYRK1B as a regulator of phenotypic plasticity in A549 cells. Increased expression of DYRK1B induces mesenchymal traits in A549 lung adenocarcinoma cells.

The effects of immune checkpoint inhibitors vs. chemotherapy combined with brain radiotherapy in non-small cell lung cancer patients with brain metastases.

BACKGROUND: Non-small cell lung cancer (NSCLC) is a prevalent form of cancer, often leading to brain metastases (BM) and a significant decline in patient prognosis. Whether immune checkpoint inhibitors (ICIs) combined with brain radiotherapy is superior to conventional chemotherapy combined with brain radiotherapy in those patients remains to be explored. MATERIALS AND METHODS: Our study enrolled 161 NSCLC patients with BM who underwent either ICIs combined with brain radiotherapy or chemotherapy combined with brain radiotherapy. End points included overall survival (OS), progression-free survival (PFS), intracranial PFS (IPFS), and extracranial PFS (EPFS). Univariate and multivariate Cox regressions were employed to identify prognostic risk variables. RESULTS: Patients receiving ICIs combined with brain radiotherapy exhibited significantly longer OS compared to those receiving chemotherapy combined with brain radiotherapy (34.80 months vs. 17.17 months, P = 0.005). In the Cox regression analysis, chemotherapy combined with brain radiotherapy (HR, 1.82; 95% CI, 1.09-3.05; P = 0.023), smoking (HR, 1.75; 95% CI, 1.02-2.99; P = 0.043) and squamous cell carcinoma (HR, 2.59; 95% CI, 1.31-5.13; P = 0.006) were associated with a worse prognosis. After propensity score matching (PSM), this finding remained consistent with before PSM (43.73 months vs. 17.17 months, P = 0.018). Squamous cell carcinoma (HR, 2.46; 95% CI, 1.15-5.26; P = 0.021) and CT + RT (HR, 2.11; 95% CI, 1.15-3.88; P = 0.016) were associated with a less favorable prognosis. CONCLUSION: The study suggests that the combination of ICIs and brain radiotherapy provides superior OS for NSCLC patients with BM, compared to the chemotherapy combined with brain radiotherapy.

A modified Delphi exercise in physician-perceived risk factors for drug-induced pneumotoxicity in patients with rheumatological disease.

BACKGROUND: Drugs used to treat rheumatic disease are associated with pneumotoxicity (drug-induced lung disease), but little is known about associated risk factors. AIM: To determine expert physician-perceived risk factors for developing pneumotoxicity in patients with rheumatologic conditions. METHODS: A modified international 3-tier Delphi exercise was performed. Tier 1 determined patient and drug variables that physicians perceive to be risk factors. Tier 2 determined degree of risk associated with the Tier-1 derived variables. Tier 3 aimed to internally validate and stratify exemplar cases into risk categories. RESULTS: 134 pulmonologists and 49 rheumatologists responded to Tier 1;157 physicians completed all tiers. Perceived risk factors included: drug type; history of previous pneumotoxicity; age; smoking; underlying rheumatic disease type and activity; renal function; pulmonary hypertension; left ventricular failure;presence, nature, severity and progression of pre-existing interstitial lung disease. Tier 2 data stratified these variables into risk profiles e.g. never versus current smoking was perceived as low and high risk respectively. An example of perceived high risk resulting from Tier 3 is a 75-year-old current smoker with high-activity rheumatoid arthritis (RA) with severe, progressive ILD being started on methotrexate. A perceived low risk is a 75-year-old currentsmoker with moderate-activity RA and emphysema with no cardiac or renal disease and no pre-existing ILD being started on rituximab. A risk prediction scoring tool is being developed to be used in validation studies. CONCLUSION: This modified Delphi exercise defined and stratified the perceived risk factors for developing pneumotoxicity. Age, current smoking, high underlying rheumatological disease activity, HRCT definite UIP and honeycombing, severity and progression of pre-existing ILD were perceived to be the highest risk-factors.

Unraveling the Impact of Sarcopenia-Induced Lymphopenia on Treatment Response and Prognosis in Patients with Stage III Non-Small Cell Lung Cancer: Insights for Optimizing Chemoradiation and Immune Checkpoint Inhibitor.

PURPOSE: Sarcopenia is a poor prognostic factor in non-small cell lung cancer (NSCLC). However, its prognostic significance in patients with NSCLC receiving immune checkpoint inhibitors (ICIs) and its relationship with lymphopenia remain unclear. We aimed to investigate the prognostic role of sarcopenia and its effect on lymphocyte recovery in patients with stage III NSCLC treated with concurrent chemoradiotherapy (CCRT) followed by ICI. MATERIALS AND METHODS: We retrospectively evaluated 151 patients with stage III NSCLC who received definitive CCRT followed by maintenance ICI between January 2016 and June 2022. Sarcopenia was evaluated by measuring the skeletal muscle area at the L3 vertebra level using computed tomography scans. Lymphocyte level changes were assessed based on measurements taken before and during CCRT and at 1, 2, 3, 6, and 12 months post-CCRT completion. RESULTS: Even after adjusting for baseline absolute lymphocyte count through propensity score-matching, patients with pre-radiotherapy (RT) sarcopenia (n=86) exhibited poor lymphocyte recovery and a significantly high incidence of grade ≥3 lymphopenia during CCRT. Pre-RT sarcopenia and grade ≥3 lymphopenia during CCRT emerged as prognostic factors for overall survival and progression-free survival, respectively. Concurrent chemotherapy dose adjustments, objective response after CCRT, and discontinuation of maintenance ICI were also analyzed as independent prognostic factors. CONCLUSION: Our results demonstrated an association between pre-RT sarcopenia and poor survival, concurrent chemotherapy dose adjustments, and impaired lymphocyte recovery after definitive CCRT. Moreover, CCRT-induced lymphopenia not only contributed to poor prognosis but may have also impaired the therapeutic efficacy of subsequent maintenance ICI, ultimately worsening treatment outcomes.

Impact of TTF-1 Expression on the Prognostic Prediction of Patients with NSCLC with PD-L1 Expression Levels of 1% to 49%, Treated with Chemotherapy vs Chemoimmunotherapy: A Multicenter, Retrospective Study.

PURPOSE: Thyroid transcription factor 1 (TTF-1) expression is a useful predictor of treatment efficacy in advanced non-squamous non-small-cell lung cancer (NSCLC). This study aimed to evaluate whether TTF-1 could predict the effectiveness of chemotherapy versus chemoimmunotherapy in patients with non-squamous NSCLC with programmed death ligand-1 (PD-L1) expression between 1% and 49%. MATERIALS AND METHODS: We conducted a retrospective study of patients with NSCLC who were treated with chemotherapy or chemoimmunotherapy between March 2016 and May 2023. The patients had histologically confirmed NSCLC, stage III-IV or postoperative recurrence, TTF-1 measurements, and PD-L1 expression levels between 1% and 49%. Clinical data were analyzed to evaluate the effect of TTF-1 expression on treatment efficacy. RESULTS: This study included 283 of 624 patients. TTF-1-positive patients showed longer progression-free survival (PFS) and overall survival (OS) (PFS: 6.4 months [95% confidence interval (CI): 5.0-9.4] vs 4.1 months [95% CI: 2.7-6.1], p=0.03, OS: 17.9 months [95% CI: 15.2-28.1] vs 9.4 months [95% CI: 6.3-17.0], p<0.01) in the chemotherapy cohorts (n=93). In the chemoimmunotherapy cohort (n=190), there was no significant difference in PFS and OS between TTF-1-positive and negative groups (PFS: 7.6 months [95% CI: 6.4-11.0] vs 6.0 months [95% CI: 3.6-12.6], p=0.59, OS: 25.0 months [95% CI: 18.0-49.2] vs 21.3 months [95% CI: 9.8-28.8], p=0.09). CONCLUSION: In patients with NSCLC with PD-L1 expression between 1% and 49%, TTF-1 expression was a predictor of chemotherapeutic, but not chemoimmunotherapeutic, efficacy.

Targeting the MET gene: unveiling therapeutic opportunities in immunotherapy within the tumor immune microenvironment of non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) represents the most prevalent histological subtype of lung cancer. Within this disease, the MET gene emerges as a critical therapeutic target, exhibiting various forms of dysregulation. Although MET tyrosine kinase inhibitors, HGF/c-MET targeting antibodies, and antibody-drug conjugates constitute the primary treatment modalities for patients with MET-altered NSCLC, numerous questions remain regarding their optimal application. The advent of immunotherapy holds promise for enhancing therapeutic outcomes in patients with MET-altered NSCLC. MET mutations can reshape the tumor immune microenvironment of NSCLC by reducing tumor immunogenicity, inducing exhaustion in immune-activated cells, and promoting immune evasion, which are crucial for modulating treatment responses. Furthermore, we emphasize the promising synergy of immunotherapy with emerging treatments and the challenges and opportunities in refining these approaches to improve patient outcomes.

Real-world clinical efficacy of bevacizumab biosimilar in patients with advanced non-small-cell lung cancer.

Background: Bevacizumab is extensively used in the treatment of advanced non-small-cell lung cancer (NSCLC). Numerous clinical trials have proven the clinical efficacies of bevacizumab biosimilars (BB). Objective: Our study aimed to compare the clinical outcomes between bevacizumab reference product (RP) and BB among advanced NSCLC patients in a real-world setting. Design: We retrospectively analyzed stage IV metastatic NSCLC patients who were treated with bevacizumab as part of a combination therapy. Patients were categorized into chemotherapy (CT) and epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) groups. We compared the patients' characteristics, treatment efficacy, and adverse events between RP and BB in the two treatment groups. Methods: From January 2020 to July 2022, a total of 171 patients who underwent combination therapy with bevacizumab were screened. Seventy-nine of these patients met the study's inclusion criteria and were enrolled in the final analysis. We utilized the Kaplan-Meier method to estimate progression-free survival (PFS) and the log-rank test to compare PFS between groups. The Cox proportional hazards model was used to identify predictors of PFS. Results: Within the CT cohort, 34 patients were treated with RP in combination with platinum and pemetrexed, and 25 patients received a combination regimen with BB. The median PFS was 6.9 months in the RP group and 8.9 months in the BB group (p = 0.255). Within the EGFR-TKI cohort, 20 patients with EGFR-mutant NSCLC received first-line treatment with EGFR-TKI plus bevacizumab. Of these patients, 9 were treated with a combination regimen that included RP, and 11 patients received EGFR-TKI in combination with BB. The median PFS was 18.4 months for the RP group and 13.6 months for the BB group (p = 0.363). Conclusion: In our advanced NSCLC patients, we found no difference in clinical outcomes when receiving treatment with RP or BB. Given a combination regimen, BB was as effective as RP together with either CT or EGFR-TKIs.

Advancements and Challenges in the Image-Based Diagnosis of Lung and Colon Cancer: A Comprehensive Review.

Image-based diagnosis has become a crucial tool in the identification and management of various cancers, particularly lung and colon cancer. This review delves into the latest advancements and ongoing challenges in the field, with a focus on deep learning, machine learning, and image processing techniques applied to X-rays, CT scans, and histopathological images. Significant progress has been made in imaging technologies like computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET), which, when combined with machine learning and artificial intelligence (AI) methodologies, have greatly enhanced the accuracy of cancer detection and characterization. These advances have enabled early detection, more precise tumor localization, personalized treatment plans, and overall improved patient outcomes. However, despite these improvements, challenges persist. Variability in image interpretation, the lack of standardized diagnostic protocols, unequal access to advanced imaging technologies, and concerns over data privacy and security within AI-based systems remain major obstacles. Furthermore, integrating imaging data with broader clinical information is crucial to achieving a more comprehensive approach to cancer diagnosis and treatment. This review provides valuable insights into the recent developments and challenges in image-based diagnosis for lung and colon cancers, underscoring both the remarkable progress and the hurdles that still need to be overcome to optimize cancer care.

Heterogeneity in peripheral blood immune lymphocyte subsets predicts the response of immunotherapy or chemoradiotherapy in advanced lung cancer: an analysis across different pathological types, treatment modalities and age.

Background: The shaping of the tumor immune microenvironment does not only rely on tumor-infiltrating lymphocytes but on the recruitment of lymphocytes in peripheral blood. Monitoring peripheral blood lymphocyte subsets level (PBLSL) can predict treatment response and prognosis with immune checkpoint inhibitors. This study investigated the heterogeneity of PBLSL in response to chemoradiotherapy (CRT) or combined with immunotherapy (CRIT) in advanced lung cancer patients. Methods: 77 patients with advanced lung cancer receiving CRT or CRIT were divided into treatment-responsive and non-responsive groups based on efficacy. The study analyzed short-term efficacy and progression-free survival (PFS) according to baseline PBLSL and explored the impact under different stratifications, including treatment modality, pathology type, and age. Results: In all patients, higher levels of B cells, higher CD4+/CD8+ T cell ratios, and lower CD8+ T cell levels were associated with better short-term outcomes (P = 0.0035, P = 0.044, P = 0.022). Subgroup analysis revealed that in the CRT group, higher B cell levels correlated with improved efficacy (P = 0.011) and superior PFS (P = 0.048, HR = 0.3886, 95% CI = 0.1696 to 0.8902). In the CRIT group, higher CD4+ T cell levels, lower CD8+ T cell levels, and higher CD4+/CD8+ T cell ratios were linked to better efficacy (P = 0.038, P = 0.047, P = 0.017). For adenocarcinoma patients, higher CD4+/CD8+ T cell ratios and lower CD8+ T cell levels predicted better efficacy (P = 0.0155, P = 0.0119). B cell levels were significant in squamous cell carcinoma (P = 0.0291), while no PBLSL was predictive for small cell lung cancer. Among patients under 65, higher B cell levels were linked to improved efficacy and prolonged PFS (P = 0.0036, P = 0.0332, HR = 0.4111, 95% CI = 0.1973 to 0.8563). For patients over 65, differences in CD4+ T cell levels and CD4+/CD8+ T cell ratios were significant (P = 0.0433, P = 0.0338). Conclusion: PBLSL predicted efficacy and prognosis in various patient stratifications, suggesting PBLSL is a reliable predictor for CRT and CRIT in advanced lung cancer. Detecting different cellular subpopulations helps identify patients with significant treatment responses across different stratifications.