Lung Adenocarcinoma Cancer Research Articles

DARDN: A Deep-Learning Approach for CTCF Binding Sequence Classification and Oncogenic Regulatory Feature Discovery.

Characterization of gene regulatory mechanisms in cancer is a key task in cancer genomics. CCCTC-binding factor (CTCF), a DNA binding protein, exhibits specific binding patterns in the genome of cancer cells and has a non-canonical function to facilitate oncogenic transcription programs by cooperating with transcription factors bound at flanking distal regions. Identification of DNA sequence features from a broad genomic region that distinguish cancer-specific CTCF binding sites from regular CTCF binding sites can help find oncogenic transcription factors in a cancer type. However, the presence of long DNA sequences without localization information makes it difficult to perform conventional motif analysis. Here, we present DNAResDualNet (DARDN), a computational method that utilizes convolutional neural networks (CNNs) for predicting cancer-specific CTCF binding sites from long DNA sequences and employs DeepLIFT, a method for interpretability of deep learning models that explains the model's output in terms of the contributions of its input features. The method is used for identifying DNA sequence features associated with cancer-specific CTCF binding. Evaluation on DNA sequences associated with CTCF binding sites in T-cell acute lymphoblastic leukemia (T-ALL) and other cancer types demonstrates DARDN's ability in classifying DNA sequences surrounding cancer-specific CTCF binding from control constitutive CTCF binding and identifying sequence motifs for transcription factors potentially active in each specific cancer type. We identify potential oncogenic transcription factors in T-ALL, acute myeloid leukemia (AML), breast cancer (BRCA), colorectal cancer (CRC), lung adenocarcinoma (LUAD), and prostate cancer (PRAD). Our work demonstrates the power of advanced machine learning and feature discovery approach in finding biologically meaningful information from complex high-throughput sequencing data.

Abstract C057: Delineating tissue-specific oncogene selection with autochthonous CRISPR activation screening

Abstract Background: While the genetic landscapes of pancreatic ductal adenocarcinoma (PDAC) and non-small cell lung cancer (NSCLC) are well described, the contribution of individual genes and transcriptomic programs to tumor initiation, progression and metastasis remain incompletely understood. To quantify the oncogenic potential of individual genes and identify transcriptomic programs that drive progression and metastasis, we have developed a platform for in vivo CRISPR activation (CRISPRa) screening that allows us to delineate tissue-specific oncogene selection. Material and Methods: Our platform consists of a conditional, CRISPRa-competent, murine tumor model (PPKS; P53(F/F), Kras(LSL-G12D/+), R26(LSL-SAM), coupled with targeted delivery of Cre-recombinase/sgRNA library encoding lentivirus [1]. We designed a CRISPRa screening library targeting 452 of the most commonly amplified and mutated genes across human adenocarcinoma. Using this library, we generated pancreatic and lung tumors, and harvested tissues and metastatic lesions at multiple time points (6 days, 4 weeks, 8 weeks, and endpoint). The change in guide distribution over time was then determined using NGS and bioinformatic analysis. To confirm the oncogenic potential of the most highly enriched genes, single gene-activated tumors were compared to non-targeted controls. Results: We found that essentially all guides (99.9%) were represented in vivo at the 6-day time point. The degree of guide selection increased over time and was significantly higher in the pancreas relative to the lung, indicating a higher degree of parallel tumor evolution in the lung. Lung samples were characterized by Egfr, Sox2 and Myc displaying gradually increasing enrichment over time and Egfr displayed the highest level of enrichment in endpoint lung tumors. In stark contrast, pancreas samples were almost completely dominated by Myc activation at the 4-week timepoint, with increased enrichment in the later timepoints, indicating a strong competitive advantage of Myc-activation, specifically in the pancreas. To confirm the pro-tumorigenic role of Myc in the pancreas, we analyzed the survival and phenotype of Myc-activated PPKS tumors, which revealed accelerated tumor progression relative to controls. Conclusions: We present one of the first implementations of autochthonous in vivo CRISPR activation screening, allowing for direct observation and quantification of oncogene selection and competition in vivo. Our results replicate tissue-specific differences in oncogene selection and indicate a dominant role of Myc-activation in pancreatic oncogenesis. Our platform has the potential to be used to address a wide range of inquiries into tumor biology, including drivers of progression, metastasis and resistance to targeted therapies.

New Imidazo[4,5‐c]pyridine‐piperidine Hybrids as Potential Anti‐cancer Agents and In‐Silico Studies

AbstractDesign and synthesis of a series of novel hybrid molecules that combine Imidazo[4,5‐c] pyridines with piperdines are presented in this paper. Total 17 derivatives were meticulously synthesized and characterized using 1H NMR, 13C NMR, MS and elemental analysis techniques. The in vitroanticancer activities are estimated by verifying their effectiveness against the MCF‐7 human breast adenocarcinoma and A549 lung cancer cell line, with cisplatin and doxorubicin serving as reference drugs. Several of these compounds demonstrated significant potential, displaying IC50 values within the range of 12.26–84.5 μM for A549, and 13.37–69.82 μM for MCF‐7. Notably, compound 11 bis found to be more potent than the standard drug cisplatin with an IC50 of 12.26±0.8 μM against A549 cells, while compound 11 d exhibited highest inhibition with an IC50 of 13.37±0.4 μM against MCF‐7 cells. Although its effectiveness was moderately lower when compared to doxorubicin, it still retained substantial anticancer activity. Molecular docking studies were performed to decouple the binding affinity and ligand interactions of the compounds with the estrogen receptor alpha (ERα) (PDB ID: 3ERT). The pharmacokinetic evaluation revealed favourable drug‐likeness properties for all the molecules, suggesting their potential as therapeutic agents.

Integrated RNA expression and alternative polyadenylation analysis identified CPSF1-CCDC137 oncogenic axis in lung adenocarcinoma.

This study aims to analyze the RNA expression and alternative polyadenylation (APA) events and identify APA tuned genes with prognostic significance in lung adenocarcinoma (LUAD). Genome-wide RNA expression profile and APA events were acquired in LUAD cancer and normal samples in GSE197346. Comparative analysis screened common deregulated genes and transcripts. All 11 and 19 transcripts were up and down expressed and polyadenylated in cancer samples, respectively. Clinical analysis found eight genes with prognostic significance, such as coiled-coil domain containing 137 (CCDC137). Role of CCDC137 in LUAD was first reported in this study. The cellular and animal experiments indicated that downregulated CCDC137 suppressed the malignant tumor phenotype and tumor growth in LUAD. Then, to identify APA regulators for elevated CCDC137, we analyzed the expression of 26 APA regulators in GSE197346 and The Cancer Genome Atlas (TCGA), and found 4 differential regulators: CPSF1, CELF2, NUDT21, and ELAVL1. At last, the correlation of eight genes with four differential APA regulators was analyzed, and CPSF1 showed a strong positive correlation with CCDC137. Based on the above results, we propose an oncogenic axis of CPSF1-CCDC137 in LUAD. This study first constructed a polyadenylation tuned RNA expression map in LUAD, and the proposed oncogenic axis of CPSF1-CCDC137 would shed light on the pathogenesis of LUAD.

Prognostic value of mitochondrial CKMT2 in Pan-cancer and its tumor immune correlation analysis

Mitochondrial metabolism has been shown to play a key role in immune cell survival and function, but mitochondrial creatine kinase 2 (CKMT2) has been relatively little studied about tumor immunity. We aimed to explore the prognostic value of CKMT2 in 33 cancer types and investigate its potential immune function. We used a range of bioinformatics approaches to explore the potential carcinogenic role of CKMT2 in multiple cancers. CKMT2 was lowly expressed in 14 tumor tissues and highly expressed in 4 tumor tissues. Immunohistochemical assays showed overexpression of CKMT2 in colon cancer and rectal cancer. CKMT2 overexpression was positively correlated with the prognosis of lung adenocarcinoma and prostate cancer. CKMT2 overexpression is mainly enriched in the adaptive immune system and immune regulatory pathways of immunoglobulins. Seven cancers were positively correlated with low CKMT2 expression in tumor microenvironment analysis. Among the five cancers, low expression of CKMT2 resulted in better immunotherapy treatment outcomes. There was a strong correlation between CKMT2 and most immune-related genes in specific cancer types. CKMT2 plays an important role in tumorigenesis and cancer immunity and can be used as a prognostic biomarker and potential target for cancer immunotherapy.

Smoking as a mediator in the association between major depressive disorder and schizophrenia on lung cancer risk: a bidirectional/multivariable and mediation Mendelian randomization study.

Major depressive disorder and schizophrenia have been hypothesized to be closely associated with cancer. However, the associations between these psychiatric conditions and the development of lung cancer remain uncertain. This study aimed to explore the causal relationship among major depressive disorder, schizophrenia, and the risk of lung cancer. Two-sample bidirectional/multivariable and mediation Mendelian randomization (MR) analyses were conducted. Genome-wide summary data on major depressive disorder (N=500,199) and schizophrenia (N=127,906) were utilized. Data on the risk of lung cancer (overall, adenocarcinoma, and squamous cell) were collected from a cohort of individuals of European ancestry (N=27,209). Three smoking-related behaviors (smoking initiation, pack years of smoking, and cigarettes smoked per day) were included in the multivariable and mediation MR analyses. Patients with schizophrenia had a significantly greater risk of developing lung cancer (odds ratio (OR) = 1.144, 95% confidence interval (95% CI): 1.048-1.248, P = 0.003). The number of cigarettes smoked per day partially mediated the relationship between schizophrenia and the overall risk of lung cancer (OR = 1.185, 95% CI: 1.112-1.264, P = 0.021, proportion of mediation effect: 61.033%). However, there is no reliable evidence indicating an association between major depressive disorder and the risk of lung cancer (overall, adenocarcinoma, and squamous cell cancer). The findings indicated an association between schizophrenia and an increased risk of lung cancer, with smoking served as a partial mediator. When smoking was included in the regression analysis, the explanatory power of schizophrenia diagnosis was reduced, suggesting that smoking may be an important causal contributor to lung cancer in this population. Given the high prevalence of smoking among individuals with schizophrenia, these results underscore the need for further research to explore the underlying mechanisms of smoking's impact. Consequently, greater emphasis should be placed on monitoring the respiratory health of individuals with schizophrenia and implementing early interventions to address smoking-related behaviors.

The anti-tumor and mechanism of the benzoisoselenazolone derivatives on the human lung cancer adenocarcinoma A549 cells

The anti-tumor and mechanism of the benzoisoselenazolone derivatives on the human lung cancer adenocarcinoma A549 cells

Prognostic Value of Thyroid Transcription Factor 1 Expression in Newly Diagnosed, Treatment-Naïve Non-Small-Cell Lung Cancer Adenocarcinoma Brain Metastasis

Prognostic Value of Thyroid Transcription Factor 1 Expression in Newly Diagnosed, Treatment-Naïve Non-Small-Cell Lung Cancer Adenocarcinoma Brain Metastasis

MESBC: A novel mutually exclusive spectral biclustering method for cancer subtyping

Many soft biclustering algorithms have been developed and applied to various biological and biomedical data analyses. However, few mutually exclusive (hard) biclustering algorithms have been proposed, which could better identify disease or molecular subtypes with survival significance based on genomic or transcriptomic data. In this study, we developed a novel mutually exclusive spectral biclustering (MESBC) algorithm based on spectral method to detect mutually exclusive biclusters. MESBC simultaneously detects relevant features (genes) and corresponding conditions (patients) subgroups and, therefore, automatically uses the signature features for each subtype to perform the clustering. Extensive simulations revealed that MESBC provided superior accuracy in detecting pre-specified biclusters compared with the non-negative matrix factorization (NMF) and Dhillon’s algorithm, particularly in very noisy data. Further analysis of the algorithm on real datasets obtained from the TCGA database showed that MESBC provided more accurate (i.e., smaller p-value) overall survival prediction in patients with lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) cancers when compared to the existing, gold-standard subtypes for lung cancers (integrative clustering). Furthermore, MESBC detected several genes with significant prognostic value in both LUAD and LUSC patients. External validation on an independent, unseen GEO dataset of LUAD showed that MESBC-derived clusters based on TCGA data still exhibited clear biclustering patterns and consistent, outstanding prognostic predictability, demonstrating robust generalizability of MESBC. Therefore, MESBC could potentially be used as a risk stratification tool to optimize the treatment for the patient, improve the selection of patients for clinical trials, and contribute to the development of novel therapeutic agents.

A Ru(II)-Strained Complex with 2,9-Diphenyl-1,10-phenanthroline Ligand Induces Selective Photoactivatable Chemotherapeutic Activity on Human Alveolar Carcinoma Cells via Apoptosis.

[Ru(bipy)2(dpphen)]Cl2 (where bipy = 2,2'-bipyridine and dpphen = 2,9-diphenyl-1,10-phenanthroline) (complex 1) is a sterically strained compound that exhibits promising in vitro photocytotoxicity on an array of cell lines. Since lung adenocarcinoma cancer remains the most common lung cancer and the leading cause of cancer deaths, the current study aims to evaluate the plausible effect and uptake of complex 1 on human alveolar carcinoma cells (A549) and mesenchymal stem cells (MSC), and assess its cytotoxicity in vitro while considering its effect on cell morphology, membrane integrity and DNA damage. MSC and A549 cells showed similar rates of complex 1 uptake with a plateau at 12 h. Upon photoactivation, complex 1 exhibited selective, potent anticancer activity against A549 cells with phototoxicity index (PI) values of 16, 25 and 39 at 24, 48 and 72 h, respectively. This effect was accompanied by a significant increase in A549-cell rounding and detachment, loss of membrane integrity and DNA damage. Flow cytometry experiments confirmed that A549 cells undergo apoptosis when treated with complex 1 followed by photoactivation. In conclusion, this present study suggests that complex 1 might be a promising candidate for photochemotherapy with photoproducts that possess selective anticancer effects in vitro. These results are encouraging to probe the potential activity of this complex in vivo.

Neutrophil infiltration associated genes on the prognosis and tumor immune microenvironment of lung adenocarcinoma.

The neutrophils exhibit both anti-tumor and pro-tumor effects in cancers. The correlation between neutrophils and tumor development in lung adenocarcinoma (LUAD) is still uncertain, possibly due to a lack of specific neutrophil infiltration evaluation methods. In this study, we identified 30 hub genes that were significantly associated with neutrophil infiltration in LUAD through data mining, survival analysis, and multiple tumor-infiltrating immune cells (TICs) analysis, including TIMER, CIBERSORT, QUANTISEQ, XCELL, and MCPCOUNTER. Consensus clustering analysis showed that these 30 hub genes were correlated with clinical features in LUAD. We further developed a neutrophil scoring system based on these hub genes. The neutrophil score was significantly correlated with prognosis and tumor immune microenvironment (TIME) in LUAD. It was also positively associated with PD-L1 expression and negatively associated with tumor mutational burden (TMB). When combined with the neutrophil score, the predictive capacity of PD-L1 and TMB for prognosis was significantly improved. Thus, the 30 hub genes might play an essential role in the interaction of neutrophils and LUAD, and the neutrophil scoring system might effectually assess the infiltration of neutrophils. Furthermore, we verified the expression of these 30 genes in the LUAD tumor tissues collected from our department. We further found that overexpressed TNFAIP6 and TLR6 and downregulated P2RY13, SCARF1, DPEP2, PRAM1, CYP27A1, CFP, GPX3, and NCF1 in LUAD tissue might be potentially associated with neutrophils pro-tumor effects. The following in vitro experiments demonstrated that TNFAIP6 and TLR6 were significantly overexpressed, and P2RY13 and CYP27A1 were significantly downregulated in LUAD cell lines, compared to BEAS-2B cells. Knocking down TNFAIP6 in A549 and PC9 resulted in the upregulation of FAS, CCL3, and ICAM-1, and the downregulation of CCL2, CXCR4, and VEGF-A in neutrophils when co-culturing with the conditioned medium (CM) from LUAD cells. Knocking down TNFAIP6 in LUAD also led to an elevated early apoptosis rate of neutrophils. Therefore, overexpressed TNFAIP6 in LUAD cancer cells might lead to neutrophils "N2" polarization, which exhibited pro-tumor effects. Further research based on the genes identified in this pilot study might shed light on neutrophils' effects on LUAD in the future.

The dark side of SIRT7.

Sirtuin 7 (SIRT7) is a member of the sirtuin family and has emerged as a key player in numerous cellular processes. It exhibits various enzymatic activities and is predominantly localized in the nucleolus, playing a role in ribosomal RNA expression, DNA damage repair, stress response and chromatin compaction. Recent studies have revealed its involvement in diseases such as cancer, cardiovascular and bone diseases, and obesity. In cancer, SIRT7 has been found to be overexpressed in multiple types of cancer, including breast cancer, clear cell renal cell carcinoma, lung adenocarcinoma, prostate adenocarcinoma, hepatocellular carcinoma, and gastric cancer, among others. In general, cancer cells exploit SIRT7 to enhance cell growth and metabolism through ribosome biogenesis, adapt to stress conditions and exert epigenetic control over cancer-related genes. The aim of this review is to provide an in-depth understanding of the role of SIRT7 in cancer carcinogenesis, evolution and progression by elucidating the underlying molecular mechanisms. Emphasis is placed on unveiling the intricate molecular pathways through which SIRT7 exerts its effects on cancer cells. In addition, this review discusses the feasibility and challenges associated with the development of drugs that can modulate SIRT7 activity.

Abstract C081: Novel and selective inhibitors of KRASG12V

Abstract KRAS is one the most mutated proteins in cancers and are commonly identified in pancreatic adenocarcinoma, colorectal and non-small cell lung cancer. Owing to its role in a different human cancer, KRAS has long been considered as an important therapeutic target in precision oncology. Although KRAS was considered undruggable due to the protein’s structural complexity, recent allele specific inhibitors that covalently bind and trap KRAS in its inactive GDP bound state have demonstrated promising approach for generating anti RAS therapies and is validated by the accelerated approval of Sotorasib and Adagrasib by the FDA for patients with lung cancer. Success of targeting mutant KRASG12C has opened opportunities to tackle other oncogenic KRAS variants such as KRASG12V. KRASG12V mutations occur frequently in multiple tumour histotypes such as adenocarcinoma of Pancreas (~32%), colorectal adenocarcinoma (~20%) and Lung (~19%) and represents a significant unmet medical need. Here we describe preclinical profile of a potent and selective KRASG12V inhibitor VRTX171. VRTX171 is a tool compound that was potent across a KRASG12V mutated cancer cell line and found to be several fold less active in non-KRASG12V mutant cell lines. Using a de novo drug design approach the compound was optimized to offer desired potency with high selectivity over WT KRAS and other KRAS mutant isoforms. Affinity for target protein, was assessed by HTRF based target engagement assay and inhibition of Raf/Mitogen-activated protein kinase (MAPK) pathway was determined using Western blot analysis in multiple cancer cell lines harbouring KRASG12V mutation. In-vivo studies of VRTX171 in Xenograft models harbouring KRASG12V mutations, as single agent as well as in combination with other targeted therapies are under consideration. Citation Format: Prashant Kashinath Bhavar, Uday Kumar Surampudi. Novel and selective inhibitors of KRASG12V [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr C081.

Abstract A177: In vivo TuBa-seq growth profiling identifies a differential role of the Tbx2 subfamily in oncogene-negative versus Kras-driven lung cancers

Abstract Lung adenocarcinoma (LUAD) is a complex cancer driven by diverse combinations of oncogenic and tumor suppressive events. The TBX2 subfamily genes, including TBX2, TBX3, TBX4, and TBX5, are known to play a crucial role in lung development as master transcriptional regulators. Our previous clinical and in vitro studies found that their expression is significantly suppressed in LUADs, suggesting a potential tumor suppressor role through modulating tumor methylation patterns in early tumorigenesis. However, the role of TBX2 subfamily genes in other cancer types is paradoxical, with both oncogenic and tumor suppressive effects being reported. Herein, we employed the Tumor Barcoding with Ultradeep Sequencing (Tuba-seq) and CRISPR/Cas9-mediated genome editing technologies to investigate the putative tumor suppressive role of TBX2 genes functionally and quantitatively and their downstream targets in genetically engineered mouse models of LUAD. Lung tumors were initiated by intratracheal intubation with pooled lentiviral-Cre vectors targeting each gene independently with two different sgRNAs per gene. To enable the unique identification of each tumor and its corresponding sgRNA, we utilized Lenti-sgRNA/Cre vectors harboring barcodes specific to each targeted gene. Initial assessment of tumor burden was carried out through fluorescence microscopy, lung weight measurements, and histological analysis. To simultaneously determine the number of neoplastic cells corresponding to each gene knockout, the barcoded region was amplified from genomic DNA extracted from bulk tumor-bearing lung samples and sequenced. Quantification of tumor sizes was carried at 6 and 20 weeks after tumor initiation. Hyperplasia, adenomas, and/or early adenocarcinomas within the lungs were detected among different genetic backgrounds and throughout the study time intervals. Specifically, the inactivation of Tbx2, Tbx3, Tbx4, Tbx5, and Cdh2, increased tumor initiation and growth in the oncogene-negative mouse model (n=8). However, strikingly, inactivation of Tbx3, Tbx4, and Cdh2 suppressed tumorigenesis in a KRAS-driven genetic background while Tbx2, Tbx5, and Tnfaip3, consistently exhibited tumor suppressive effects (n=9). Further investigation is needed to understand these newly discovered interactions between the TBX2 subfamily critical developmental pathway and Ras signaling in modulating lung cancer progression. These insights emphasize the importance of considering tumor suppressor phenotypic heterogeneity and their context-dependent roles when developing targeted therapeutic approaches for lung adenocarcinoma and other cancers. Citation Format: Athar Khalil, Mira Rahm, Zachary Faber, Madeline Bedrock, Xiangzhen Wei, Bindi Patel, Christopher Mcfarland. In vivo TuBa-seq growth profiling identifies a differential role of the Tbx2 subfamily in oncogene-negative versus Kras-driven lung cancers [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr A177.

Whole stromal fibroblast signature is linked to specific chemokine and immune infiltration patterns and to improved survival in NSCLC

ABSTRACT Cancer associated fibroblasts (CAF) are known to orchestrate multiple components of the tumor microenvironment, whereas the influence of the whole stromal-fibroblast compartment is less understood. Here, an extended stromal fibroblast signature was investigated to define its impact on immune cell infiltration. The lung cancer adenocarcinoma (LUAD) data set of the cancer genome atlas (TCGA) was used to test whole stroma signatures and cancer-associated fibroblast signatures for their impact on prognosis. 3D cell cultures of the NSCLC cancer cell line A549 together with the fibroblast cell line SV80 were used in combination with infiltrating peripheral blood mononuclear cells (PBMC) for in-vitro investigations. Immune cell infiltration was assessed via flow cytometry, chemokines were analyzed by immunoassays and RNA microarrays. Results were confirmed in specimens from NSCLC patients by flow cytometry or immunohistochemistry as well as in the TCGA data set. The TCGA analyses correlated the whole stromal-fibroblast signature with an improved outcome, whereas no effect was found for the CAF signatures. In 3D microtumors, the presence of fibroblasts induced infiltration of B cells and CD69+CD4+ T cells, which was linked to an increased expression of CCL13 and CXCL16. The stroma/lymphocyte interaction was confirmed in NSCLC patients, as stroma-rich tumors displayed an elevated B cell count and survival in the local cohort and the TCGA data set. A whole stromal fibroblast signature was associated with an improved clinical outcome in lung adenocarcinoma and in vitro and in vivo experiments suggest that this signature increases B and T cell recruitment via induction of chemokines.

ARAP1 negatively regulates stress fibers formation and metastasis in lung adenocarcinoma via controlling Rho signaling

Small GTPases regulate multiple important cellular behaviors and their activities are strictly controlled by a mass of regulators. The dysfunction or abnormal expression of small GTPases or their regulators was frequently observed in various cancers. Here, we analyzed the expression and prognostic correlation of several GTPases and related regulators based on the TCGA database and found that Ankyrin Repeat and PH Domain 1 (ARAP1), a GTPase activating protein (GAP), is reduced in lung adenocarcinoma tissues compared to normal tissues and displays a positive correlation with overall survival (OS) and progression-free survival (PFS) of patients with lung adenocarcinoma. qPCR and western blot verified that ARAP1 is frequently downregulated in lung adenocarcinoma tumor tissues and cancer cells, and its downregulation might be mediated by epigenetic modification. Moreover, metastatic assays showed that overexpression of ARAP1 significantly inhibits metastasis of lung adenocarcinoma in vitro and in vivo. We further demonstrated that Rho signaling inhibition, mediated by RhoGAP activity of ARAP1, majorly contributes to suppressing migration and invasion of lung adenocarcinoma cancer cells via inhibiting stress fibers formation. In summary, this study indicates that ARAP1 may serve as a potential prognostic predictor and a metastatic suppressor in lung adenocarcinoma via its RhoGAP activity.

CCR5 promoter polymorphisms associated with nonsmall cell lung cancer.

C-C chemokine receptor 5 (CCR5) plays a crucial role in the regulation of immune cell activation and migration as well as the progression of many cancers. We performed an in silico analysis using public data resources and found that the lung cancer patients with higher CCR5 expression had a notably better overall survival than those with lower CCR5 expression patients and CCR5 expression level is positive correlated with the infiltration of immune cells, such as B, CD8+ T and CD4+ T cells, in both lung adenocarcinoma and lung squamous cell cancer. In the present study, we investigated the association between the promoter polymorphism of CCR5 and nonsmall cell lung cancer (NSCLC). A case-control study of 449 NSCLC patients and 516 controls of Chinese Han population was conducted, along with polymorphism detection using a sequencing method. A dual-luciferase reporter assay system was used to analyse the transcriptional activity of CCR5 promoter variations. Our results showed that the frequency of rs1799987-AA was significantly higher in the NSCLC group than in the controls in recessive model (p=.007, OR=1.66 95% confidence interval [CI]: 1.14-2.40, adjusted by sex and age); the G allele showed a significant associated with NSCLC in dominant model (p=.003, OR=1.64, 95%CI: 1.18-2.28, adjusted by sex and age). Compared with haplotype H1 rs2227010-rs2734648-rs1799987-rs1799988-rs1800023-rs1800024: A-T-G-T-G-C, haplotype H5: A-G-G-T-G-C increased the risk of NSCLC by over 10-fold (p<.0001, OR=16.09, 95%CI: 5.37-48.20, adjusted by sex and age) and notably depressed the transcriptional activity of the CCR5 promoter in 293T, A549, H1299 and HeLa cells. In conclusion, CCR5 promoter polymorphisms are significantly associated with NSCLC by affecting the transcriptional activity of the CCR5 promoter.

Novel circular RNA circ-0002727 regulates miR-144-3p/KIF14 pathway to promote lung adenocarcinoma progression.

Objective: Circular RNAs (circRNAs) have been shown to participate in various cancers via sponging miRNAs (microRNAs). However, their role in lung adenocarcinoma (LUAD) remains elusive. Methods: The transcriptome data and corresponding clinical information of lung adenocarcinoma samples were extracted from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. Differentially expressed circRNAs (DEcircRNAs), differentially expressed miRNAs (DEmiRNAs), and differentially expressed genes (DEgenes) were identified and further used to constructed a circRNA-associated competing endogenous RNA (ceRNA) network. Real-Time qPCR analysis was conducted to examine gene expression at transcriptional level. The regulatory mechanisms of circRNA-miRNA-gene were validated by dual-luciferase reporter array and RNA pull-down assay. Cell growth, migration and invasion were evaluated by CCK-8 assay, colony formation assay and transwell assay, respectively. Results: Based on public microarray data, we systematically constructed a circRNA-associated ceRNA network including 11 DEcircRNAs, 8 DEmiRNAs and 49 DEgenes. Among the ceRNA network, we found that circ-0002727 was a key regulatory and was further confirmed to be upregulated in LUAD cancer cells. Subsequently, we found that silencing of circ-0002727 significantly suppressed the LUAD cell proliferation, migration and invasion in vitro. Mechanistically, we showed that circ-0002727 could competitively bind miR-144-3p to enhance the KIF14 expression in LUAD cells. Rescue assays indicated that circ-0002727 could regulate LUAD cell proliferation through modulating miR-144-3p/KIF14 pathway. Besides, KIF14 expression level was positively correlated with TNM stage and metastasis, and patients with high KIF14 expression suffered poor prognosis. Conclusion: Taken together, our study revealed that circ-0002727 could act as a ceRNA to regulate LUAD progression via modulating miR-144-3p/KIF14 pathway, providing a potential therapeutic target for LUAD.

Stemness genes and miR-1247-3p expressionassociate with clinicopathological parameters and prognosis in lung adenocarcinoma.

Lung cancer makes up one-fourth of all cancer-related mortality with the highest mortality rate among all cancers. Despite recent scientific advancements in cancer therapeutics, the 5-year survival rate of lung adenocarcinoma (LUAD) cancer patients remains below 15 percent. It has been suggested that the high mortality rate of LUAD is linked to the acquisition of progenitor-like cells with stem-like characteristics that assist the whole tumor in regulating immune cell infiltration. To examine this hypothesis further, this study mined several databases to explore the presence of stemness-related genes and miRNAs in LUAD cancers. We examine their association with immune and accessory cell infiltration rates and patient survival. We found 3 stem cell-related genes, ORC1L, KIF20A, and DLGAP5, present in LUAD that also correlate with changes in immune infiltration rates and reduced patient survival rates. Additionally, the modulation in myeloid-derived suppressor cell (MDSC) infiltration and miRNA hsa-mir-1247-3p mediated targeting of tumor suppressor SLC24A4 and oncogenes RAB3B and HJURP appears to primarily regulate LUAD patient survival. Given these findings, hsa-mir-1247-3p and/or its associated gene targets may offer a promising avenue to enhance patient survivability.

Treatment strategies and drug resistance mechanisms in adenocarcinoma of different organs.

Adenocarcinoma is a common type of malignant tumor, originating from glandular epithelial cells in various organs, such as pancreas, breast, lung, stomach, colon, rectus, and prostate. For patients who lose the opportunity for radical surgery, medication is available to provide potential clinical benefits. However, drug resistance is a big obstacle to obtain desired clinical prognosis. In this review, we provide a summary of treatment strategies and drug resistance mechanisms in adenocarcinoma of different organs, including pancreatic cancer, gastric adenocarcinoma, colorectal adenocarcinoma, lung adenocarcinoma, and prostate cancer. Although the underlying molecular mechanisms involved in drug resistance of adenocarcinoma vary from one organ to the other, there are several targets that are universal for drug resistance in adenocarcinoma, and targeting these molecules could potentially reverse drug resistance in the treatment of adenocarcinomas.