Non-invasive prediction for pathologic complete response to neoadjuvant chemoimmunotherapy in lung cancer using CT-based deep learning: a multicenter study.

Neoadjuvant chemoimmunotherapy has revolutionized the therapeutic strategy for non-small cell lung cancer (NSCLC), and identifying candidates likely responding to this advanced treatment is of important clinical significance. The current multi-institutional study aims to develop a deep learning model to predict pathologic complete response (pCR) to neoadjuvant immunotherapy in NSCLC based on computed tomography (CT) imaging and further prob the biologic foundation of the proposed deep learning signature. A total of 248 participants administrated with neoadjuvant immunotherapy followed by surgery for NSCLC at Ruijin Hospital, Ningbo Hwamei Hospital, and Affiliated Hospital of Zunyi Medical University from January 2019 to September 2023 were enrolled. The imaging data within 2 weeks prior to neoadjuvant chemoimmunotherapy were retrospectively extracted. Patients from Ruijin Hospital were grouped as the training set (n = 104) and the validation set (n = 69) at the 6:4 ratio, and other participants from Ningbo Hwamei Hospital and Affiliated Hospital of Zunyi Medical University served as an external cohort (n = 75). For the entire population, pCR was obtained in 29.4% (n = 73) of cases. The areas under the curve (AUCs) of our deep learning signature for pCR prediction were 0.775 (95% confidence interval [CI]: 0.649 - 0.901) and 0.743 (95% CI: 0.618 - 0.869) in the validation set and the external cohort, significantly superior than 0.579 (95% CI: 0.468 - 0.689) and 0.569 (95% CI: 0.454 - 0.683) of the clinical model. Furthermore, higher deep learning scores correlated to the upregulation for pathways of cell metabolism and more antitumor immune infiltration in microenvironment. Our developed deep learning model is capable of predicting pCR to neoadjuvant chemoimmunotherapy in patients with NSCLC.

An Enzymatic Carbon-Carbon Bond Cleavage and Aldol Reaction Cascade Converts an Angular Scaffold into the Linear Tetracyclic Core of Ochraceopones.

Meroterpenoids of the ochraceopones family featuring a linear tetracyclic scaffold exhibit exceptional antiviral and anti-inflammatory activities. The biosynthetic pathway and chemical logic to generate this linear tetracycle, however, remain unknown. In this study, we identified and characterized all biosynthetic enzymes to afford ochraceopones and elucidated the complete biosynthetic pathway. We demonstrated that the linear tetracyclic scaffold of ochraceopones was derived from an angular tetracyclic precursor. A multifunctional cytochrome P450 OchH was validated to catalyze the free-radical-initiated carbon-carbon bond cleavage of the angular tetracycle. Then, a new carbon-carbon bond was verified to be constructed using a new aldolase OchL, which catalyzes an intramolecular aldol reaction to form the linear tetracycle. This carbon-carbon bond fragmentation and aldol reaction cascade features an unprecedented strategy for converting a common angular tetracycle to a distinctive linear tetracyclic scaffold in meroterpenoid biosynthesis.

Genome Mining Uncovers a Flavoenzyme-Catalyzed Isomerization Process during the Maturation of Pyrenophorol Dilactones.

The biosynthetic gene cluster responsible for the production of C2-asymmetric 16-membered dilactones, including pyrenophorol and its derivatives, was discovered through genome mining of polyketides from a sponge-derived fungus. The biosynthetic pathway of the pyrenophorol dilactones was subsequently elucidated. A distinctive flavoenzyme PylE was identified to catalyze the isomerization of the 4-alcohol-2,3-unsaturated moiety within the dilactone scaffold, resulting in the formation of a 1,4-diketone. Further insights into the catalytic mechanism of PylE were obtained through mutagenesis experiments combined with molecular docking.

Treatment patterns and clinical outcomes of patients with resectable non-small cell lung cancer receiving neoadjuvant immunochemotherapy: A large-scale, multicenter, real-world study (NeoR-World).

BACKGROUND: Neoadjuvant immunotherapy has ushered in a new era of perioperative treatment for resectable non-small cell lung cancer (NSCLC). However, large-scale data for verifying the efficacy and optimizing the therapeutic strategies of neoadjuvant immunochemotherapy in routine clinical practice are scarce. METHODS: NeoR-World (NCT05974007) was a multicenter, retrospective cohort study involving patients who received neoadjuvant immunotherapy plus chemotherapy or chemotherapy alone in routine clinical practice from 11 medical centers in China between January 2010 and March 2022. Propensity score matching was performed to address indication bias. RESULTS: A total of 408 patients receiving neoadjuvant immunochemotherapy and 684 patients receiving neoadjuvant chemotherapy were included. The pathologic complete response (pCR) and major pathologic response (MPR) rates of the real-world neoadjuvant immunochemotherapy cohort were 32.8% and 58.1%, respectively. Notably, patients with squamous cell carcinoma exhibited significantly higher pCR and MPR rates than those with adenocarcinoma (pCR, 39.2% vs 16.5% [P < .001]; MPR, 66.6% vs 36.5% [P < .001]), whereas pCR and MPR rates were comparable among patients receiving different neoadjuvant cycles. In addition, the 2-year rates of disease-free survival (DFS) and overall survival (OS) rate were 82.0% and 93.1%, respectively. Multivariate analyses identified adjuvant therapy as an independent prognostic factor for DFS (hazard ratio [HR], 0.51; 95% confidence interval [CI], 0.29-0.89; P = .018) and OS (HR, 0.28; 95% CI, 0.13-0.58; P < .001). A significantly longer DFS with adjuvant therapy was observed in patients with non-pCR or 2 neoadjuvant cycles. We observed significant benefits in pCR rate (32.4% vs 6.4%; P < .001), DFS (HR, 0.50; 95% CI, 0.38-0.68; P < .001) and OS (HR, 0.61; 95% CI, 0.40-0.94; P = .024) with immunotherapy plus chemotherapy compared to chemotherapy alone both in the primary propensity-matched cohort and across most key subgroups. CONCLUSIONS: The study validates the superior efficacy of neoadjuvant immunochemotherapy over chemotherapy alone for NSCLC. Adjuvant therapy could prolong DFS in patients receiving neoadjuvant immunochemotherapy, and patients with non-pCR or those who underwent 2 neoadjuvant cycles were identified as potential beneficiaries of adjuvant therapy.

Deciphering the Glycosylation Steps in the Biosynthesis of P-1894B and Grincamycin Isolated from Marine-Derived Streptomyces lusitanus SCSIO LR32.

Recently, we re-isolated the glycosylated angucycline antibiotics P-1894B (1) and grincamycin (1') from the marine-derived Streptomyces lusitanus SCSIO LR32 as potent antitumor agents and identified their biosynthesis gene cluster gcn. Both P-1894B (1) and grincamycin (1') possess a trisaccharide and a disaccharide moiety comprised of five deoxysugars. In this work, three genes encoding glycosyltransferases (GcnG1, GcnG2, and GcnG3) responsible for the assembly of deoxysugars into angucycline aglycone were identified from the biosynthesis gene cluster gcn. Gene inactivations of gcnG1, gcnG2, gcnG3, and gcnG1G2 by lambda-RED-mediated gene replacements led to the construction of four mutants, in which the glycosyltransferase genes were disrupted, respectively. The metabolites from the mutants were purified and identified, including two new analogues designated as grincamycin U (3a) and V (3'). The sequential glycosylation steps in the biosynthesis of P-1894B (1) and grincamycin (1') catalyzed by GcnG3, GcnG1, and GcnG2 were elucidated.

PET/CT-based deep learning grading signature to optimize surgical decisions for clinical stage I invasive lung adenocarcinoma and biologic basis under its prediction: a multicenter study.

PURPOSE: No consensus on a grading system for invasive lung adenocarcinoma had been built over a long period of time. Until October 2020, a novel grading system was proposed to quantify the whole landscape of histologic subtypes and proportions of pulmonary adenocarcinomas. This study aims to develop a deep learning grading signature (DLGS) based on positron emission tomography/computed tomography (PET/CT) to personalize surgical treatments for clinical stage I invasive lung adenocarcinoma and explore the biologic basis under its prediction. METHODS: A total of 2638 patients with clinical stage I invasive lung adenocarcinoma from 4 medical centers were retrospectively included to construct and validate the DLGS. The predictive performance of the DLGS was evaluated by the area under the receiver operating characteristic curve (AUC), its potential to optimize surgical treatments was investigated via survival analyses in risk groups defined by the DLGS, and its biological basis was explored by comparing histologic patterns, genotypic alternations, genetic pathways, and infiltration of immune cells in microenvironments between risk groups. RESULTS: The DLGS to predict grade 3 achieved AUCs of 0.862, 0.844, and 0.851 in the validation set (n = 497), external cohort (n = 382), and prospective cohort (n = 600), respectively, which were significantly better than 0.814, 0.810, and 0.806 of the PET model, 0.813, 0.795, and 0.824 of the CT model, and 0.762, 0.734, and 0.751 of the clinical model. Additionally, for DLGS-defined high-risk population, lobectomy yielded an improved prognosis compared to sublobectomy p = 0.085 for overall survival [OS] and p = 0.038 for recurrence-free survival [RFS]) and systematic nodal dissection conferred a superior prognosis to limited nodal dissection (p = 0.001 for OS and p = 0.041 for RFS). CONCLUSION: The DLGS harbors the potential to predict the histologic grade and personalize the surgical treatments for clinical stage I invasive lung adenocarcinoma. Its applicability to other territories should be further validated by a larger international study.

PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer.

Occult nodal metastasis (ONM) plays a significant role in comprehensive treatments of non-small cell lung cancer (NSCLC). This study aims to develop a deep learning signature based on positron emission tomography/computed tomography to predict ONM of clinical stage N0 NSCLC. An internal cohort (n = 1911) is included to construct the deep learning nodal metastasis signature (DLNMS). Subsequently, an external cohort (n = 355) and a prospective cohort (n = 999) are utilized to fully validate the predictive performances of the DLNMS. Here, we show areas under the receiver operating characteristic curve of the DLNMS for occult N1 prediction are 0.958, 0.879 and 0.914 in the validation set, external cohort and prospective cohort, respectively, and for occult N2 prediction are 0.942, 0.875 and 0.919, respectively, which are significantly better than the single-modal deep learning models, clinical model and physicians. This study demonstrates that the DLNMS harbors the potential to predict ONM of clinical stage N0 NSCLC.

Alternaphenol B2, a new IDH1 inhibitor from the coral-derived fungus Parengyodontium album SCSIO SX7W11.

A new aromatic polyketide, alternaphenol B2 (1), and four known compounds (2-5) were isolated from the coral-derived fungus Parengyodontium album SCSIO SX7W11. Their structures were elucidated by high-resolution mass spectrometry, 1D and 2D NMR spectroscopy and comparison with reported literatures. Compounds 1 and 2 exhibited selective inhibitory activity against isocitrate dehydrogenase mutant R132H (IDH1m), with IC50 values of 41.9 and 27.7 µM, respectively. Our findings thus provide a fresh incentive for investigation on IDH1m inhibitors as lead compounds for cancer treatment.

Roles of circRNAs in regulating the tumor microenvironment.

CircRNAs, a type of non-coding RNA widely present in eukaryotic cells, have emerged as a prominent focus in tumor research. However, the functions of most circRNAs remain largely unexplored. Known circRNAs exert their regulatory roles through various mechanisms, including acting as microRNA sponges, binding to RNA-binding proteins, and functioning as transcription factors to modulate protein translation and coding. Tumor growth is not solely driven by gene mutations but also influenced by diverse constituent cells and growth factors within the tumor microenvironment (TME). As crucial regulators within the TME, circRNAs are involved in governing tumor growth and metastasis. This review highlights the role of circRNAs in regulating angiogenesis, matrix remodeling, and immunosuppression within the TME. Additionally, we discuss current research on hypoxia-induced circRNAs production and commensal microorganisms' impact on the TME to elucidate how circRNAs influence tumor growth while emphasizing the significance of modulating the TME.

Characterization of the depsidone gene cluster reveals etherification, decarboxylation and multiple halogenations as tailoring steps in depsidone assembly.

Depsides and depsidones have attracted attention for biosynthetic studies due to their broad biological activities and structural diversity. Previous structure‒activity relationships indicated that triple halogenated depsidones display the best anti-pathogenic activity. However, the gene cluster and the tailoring steps responsible for halogenated depsidone nornidulin (3) remain enigmatic. In this study, we disclosed the complete biosynthetic pathway of the halogenated depsidone through in vivo gene disruption, heterologous expression and in vitro biochemical experiments. We demonstrated an unusual depside skeleton biosynthesis process mediated by both highly-reducing polyketide synthase and non-reducing polyketide synthase, which is distinct from the common depside skeleton biosynthesis. This skeleton was subsequently modified by two in-cluster enzymes DepG and DepF for the ether bond formation and decarboxylation, respectively. In addition, the decarboxylase DepF exhibited substrate promiscuity for different scaffold substrates. Finally, and interestingly, we discovered a halogenase encoded remotely from the biosynthetic gene cluster, which catalyzes triple-halogenation to produce the active end product nornidulin (3). These discoveries provide new insights for further understanding the biosynthesis of depsidones and their derivatives.

CENPH overexpression promotes the progression, cisplatin resistance, and poor prognosis of lung adenocarcinoma via the AKT and ERK/P38 pathways.

Overexpression of centromere protein H (CENPH) promotes cancer growth and progression. However, the roles and underlying mechanisms have not been elucidated. Therefore, we aim to explore the roles and mechanisms of CENPH in lung adenocarcinoma (LUAD) progression by using comprehensive data analysis and cell experiments. In this study, the relationship between CENPH expression, which was obtained from the TCGA, and GTEx databases, and the prognosis and clinical characteristics of LUAD patients was analyzed, and the diagnostic values of CENPH was evaluated. CENPH-related risk models and nomograms were constructed to evaluate the prognosis of LUAD via Cox and LASSO regression analysis. The roles and mechanisms of CENPH in LUAD cells were studied using CCK-8 assay, wound healing and migration tests, and western blotting. The relationship between CENPH expression and immune microenvironment and RNA modifications was explored through correlation analysis. We found that CENPH was overexpressed in LUAD tissues, and tumors with diameter >3 cm, lymph node metastasis, distant metastasis, late stage, men, and dead cancer patients. Increased expression of CENPH was related to the diagnosis, poor survival rate, disease specific survival rate, and progression of LUAD. CENPH-related nomograms and risk models could predict the survival rate of LUAD patients. Inhibiting the expression of CENPH in LUAD cells decreased their migration, proliferation, and invasion, and promoted their sensitivity to cisplatin, which was related to the downregulation of p-AKT, p-ERK, and p-P38. However, there was no effect on AKT, ERK, and P38. Enhanced expression of CENPH was significantly correlated with immune score, immune cells, cell markers, and RNA modifications. In conclusion, CENPH was strongly expressed in LUAD tissues and was associated with poor prognosis, immune microenvironment, and RNA modifications. CENPH overexpression could enhance cell growth and metastasis and promote resistance to cisplatin via the AKT and ERK/P38 pathways, indicating its potential as a biomarker for the prognosis of LUAD.

A new prognostic model for RHOV, ABCC2, and CYP4B1 to predict the prognosis and association with immune infiltration of lung adenocarcinoma.

Background: Lymph node metastasis is one of the important factors affecting the prognosis of lung adenocarcinoma (LUAD) patients. The key molecules in lymph node metastasis have not yet been fully revealed. Therefore, we aimed to construct a prognostic model based on lymph node metastasis-related genes to evaluate the prognosis of LUAD patients. Methods: The differentially expressed genes (DEGs) in the process of LUAD metastasis were identified in The Cancer Genome Atlas (TCGA) database, and the biological roles of the DEGs were depicted using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and a protein-protein interaction (PPI) network. Survival analysis and Cox regression analysis were used to identify the genes related to the prognosis of patients with LUAD, and a nomogram and a prognostic model were constructed. The potential prognostic value, immune escape, and regulatory mechanisms of the prognostic model in LUAD progression were explored through survival analysis and gene set enrichment analysis (GSEA). Results: A total of 75 genes were upregulated, and 138 genes were downregulated in tissues of lymph node metastasis. The expression levels of STC1, CYP17A1, RHOV, GUCA2B, TM4SF20, DEFB1, CRHR2, ABCC2, CYP4B1, KRT16, and NTS were revealed as risk factors for a poor prognosis in LUAD patients. High-risk LUAD patients had a poor prognosis in the prognostic model based on RHOV, ABCC2, and CYP4B1. The clinical stage and the risk score were found to be independent risk factors for a poor prognosis in LUAD patients, and the risk score was associated with the tumor purity, T cell, natural killer (NK) cell, and other immune cells. The prognostic model might affect the progression of LUAD using DNA replication, the cell cycle, P53, and other signaling pathways. Conclusions: Lymph node metastasis-related genes RHOV, ABCC2, and CYP4B1 are associated with a poor prognosis in LUAD. A prognostic model based on RHOV, ABCC2, and CYP4B1 might predict the prognosis of LUAD patients and be associated with immune infiltration.

Development of Marker Recycling Systems for Sequential Genetic Manipulation in Marine-Derived Fungi Spiromastix sp. SCSIO F190 and Aspergillus sp. SCSIO SX7S7.

Marine-derived fungi are emerging as prolific workhorses of structurally novel natural products (NPs) with diverse bioactivities. However, the limitation of available selection markers hampers the exploration of cryptic NPs. Recyclable markers are therefore valuable assets in genetic engineering programs for awaking silent SM clusters. Here, both pyrG and amdS-based recyclable marker cassettes were established and successfully applied in marine-derived fungi Aspergillus sp. SCSIO SX7S7 and Spiromastix sp. SCSIO F190, respectively. Using pyrG recyclable marker, a markerless 7S7-∆depH strain with a simplified HPLC background was built by inactivating a polyketide synthase (PKS) gene depH and looping out the pyrG recyclable marker after depH deletion. Meanwhile, an amdS recyclable marker system was also developed to help strains that are difficult to use pyrG marker. By employing the amdS marker, a backbone gene spm11 responsible for one major product of Spiromastix sp. SCSIO F190 was inactivated, and the amdS marker was excised after using, generating a relatively clean F190-∆spm11 strain for further activation of novel NPs. The collection of two different recycle markers will guarantee flexible application in marine-derived fungi with different genetic backgrounds, enabling the exploitation of novel structures in various fungi species with different genome mining strategies.

First-line serplulimab or placebo plus chemotherapy in PD-L1-positive esophageal squamous cell carcinoma: a randomized, double-blind phase 3 trial.

First-line systemic therapeutic options for advanced esophageal squamous cell carcinoma (ESCC) are limited. In this multicenter, double-blind phase 3 trial, a total of 551 patients with previously untreated, locally advanced or metastatic ESCC and PD-L1 combined positive score of ≥1 were randomized (2:1) to receive serplulimab (an anti-PD-1 antibody; 3 mg/kg) or placebo (on day 1), plus cisplatin (50 mg/m2) (on day 1) and continuous infusion of 5-fluorouracil (1,200 mg/m2) (on days 1 and 2), once every 2 weeks. The study met the primary endpoints. At the prespecified final analysis of progression-free survival (PFS) assessed by the blinded independent radiological review committee, serplulimab plus chemotherapy significantly improved PFS compared with placebo plus chemotherapy (median PFS of 5.8 months and 5.3 months, respectively; hazard ratio, 0.60; 95% confidence interval, 0.48-0.75; P < 0.0001). At the prespecified interim analysis of overall survival (OS), serplulimab plus chemotherapy also significantly prolonged OS compared with placebo plus chemotherapy (median OS of 15.3 months and 11.8 months, respectively; hazard ratio, 0.68; 95% confidence interval, 0.53-0.87; P = 0.0020). Grade 3 or higher treatment-related adverse events occurred in 201 (53%) and 81 (48%) patients in the serplulimab plus chemotherapy group and the placebo plus chemotherapy group, respectively. Serplulimab plus chemotherapy administered every 2 weeks significantly improved PFS and OS in patients with previously untreated, PD-L1-positive advanced ESCC, with a manageable safety profile. This study is registered with ClinicalTrials.gov ( NCT03958890 ).

Sulfoxanthicillin from the deep-sea derived Penicillium sp. SCSIO sof101: an antimicrobial compound against Gram-positive and -negative pathogens.

Natural products along with their analogs have been intensively explored for their antimicrobial potential against 'ESKAPE' pathogens. Herein, we report a new natural product with strong antibacterial activity, sulfoxanthocillin (1), along with its decomposed product peniformamide (2), and the known compound xanthocillin X (3) from the deep-sea derived Penicillium sp. SCSIO sof101. The structures of compounds 1 and 2 were determined by extensive spectroscopic analysis. Compound 1 showed significant activity against series pathogens with MIC values ranging 0.06-8.0 µg mL-1. As an artificial unnatural product during the isolation process, compound 2 had lower antimicrobial activity than that of compound 1, which could be attributed to a change in structural modification from an isonitrile group in compound 1 to a formamide group in compound 2. In terms of cytotoxicity, 1 showed relatively low cytotoxicity against human tumor cell lines compared with xanthocillin X (3), suggesting that the sulfate group present in 1 should be a determinant of cytotoxic activities. Overall, sulfoxanthocillin (1) merits further attention as a potential lead compound for anti-infective interventions against Gram-negative and Gram-positive bacterial pathogens.

Exosome-mediated lnc-ABCA12-3 promotes proliferation and glycolysis but inhibits apoptosis by regulating the toll-like receptor 4/nuclear factor kappa-B signaling pathway in esophageal squamous cell carcinoma.

Esophageal squamous cell carcinoma (ESCC) is a kind of malignant tumor with high incidence and mortality in the digestive system. The aim of this study is to explore the function of lnc-ABCA12-3 in the development of ESCC and its unique mechanisms. RT-PCR was applied to detect gene transcription levels in tissues or cell lines like TE-1, EC9706, and HEEC cells. Western blot was conducted to identify protein expression levels of mitochondrial apoptosis and toll-like receptor 4 (TLR4)/nuclear factor kappa-B (NF-κB) signaling pathway. CCK-8 and EdU assays were carried out to measure cell proliferation, and cell apoptosis was examined by flow cytometry. ELISA was used for checking the changes in glycolysis-related indicators. Lnc-ABCA12-3 was highly expressed in ESCC tissues and cells, which preferred it to be a candidate target. The TE-1 and EC9706 cells proliferation and glycolysis were obviously inhibited with the downregulation of lnc-ABCA12-3, while apoptosis was promoted. TLR4 activator could largely reverse the apoptosis acceleration and relieved the proliferation and glycolysis suppression caused by lnc-ABCA12-3 downregulation. Moreover, the effect of lnc-ABCA12-3 on ESCC cells was actualized by activating the TLR4/NF-κB signaling pathway under the mediation of exosome. Taken together, the lnc-ABCA12-3 could promote the proliferation and glycolysis of ESCC, while repressing its apoptosis probably by regulating the TLR4/NF-κB signaling pathway under the mediation of exosome.

Preoperative bowel preparation promotes intestinal functional recovery after esophagectomy.

Background: Patients are prone to intestinal dysfunction after esophagectomy. The value of preoperative bowel preparation before esophagectomy is controversial. There is a lack of evidence as to whether preoperative bowel preparation can help patients improve bowel function and shorten the recovery time of bowel function. Objectives: The objectives of this study were to explore whether preoperative bowel preparation can promote the recovery of intestinal function after esophagectomy. Methods: We analysed 139 patients who underwent elective radical esophagectomy in the Department of Thoracic Surgery at the Second Affiliated Hospital of Xi'an Jiaotong University from May 2016 to December 2018. The enrolled patients were divided into the study group (bowel preparation group) and the control group (no bowel preparation group) of 71 cases and 68 cases. Patients in the study group were given dissolved polyethylene glycol electrolyte powder and a cleansing enema the day before surgery. Patients in the control group were neither given polyethylene glycol electrolyte powder nor cleansing enemas before surgery. The postoperative recovery of the two groups were compared. Results: Postoperative bed rest time, bowel function recovery time and the time of first flatus and defecation after surgery were significantly shorter in patients with bowel preparation than in those without bowel preparation, and the differences were statistically significant. (P=0.038, P<0.001, P<0.001, P<0.001; respectively). Conclusions: Preoperative bowel preparation can promote the recovery of patients with esophageal cancer, especially the recovery of bowel function, which can reduce the pain caused by abdominal distension and improve the quality of life of patients.

Cyclin B1 expression as an independent prognostic factor for lung adenocarcinoma and its potential pathways.

Although great progress has been made in the early diagnosis and targeted therapy of lung adenocarcinoma (LUAD), the survival of patients with LUAD remains unsatisfactory. There is an urgent requirement for new biomarkers to guide the diagnosis, prognosis and treatment of LUAD. Following an initial bioinformatics screen, the present study focused on cyclin B1 (CCNB1) in LUAD. A total of 94 patients with LUAD from a single hospital were included in the study. CCNB1 protein expression was detected and scored in 94 LUAD samples and 30 normal tissue samples by immunohistochemistry. The associations between CCNB1 expression and the clinicopathological features of the patients with LUAD were analyzed. Furthermore, the relationship between prognosis and the CCNB1 expression level was analyzed using Cox regression and survival analyses. Weighted gene co-expression network analysis and RNA-sequencing were also applied to identify the potential molecular mechanisms of CCNB1 in LUAD. CCNB1 was highly expressed in patients with LUAD and was associated with poor prognosis. It may affect the expression of CPLX1, PPIF, SRPK2, KRT8, SLC20A1 and CBX2 genes and function via different pathways. CCNB1 has the potential to become a novel prognostic target for LUAD.

Characterization of fatty acid metabolism-related lncRNAs in lung adenocarcinoma identifying potential novel prognostic targets.

Lung adenocarcinoma (LUAD), a malignant respiratory tumor with an extremely poor prognosis, has troubled the medical community all over the world. According to recent studies, fatty acid metabolism (FAM) and long non-coding RNAs (lncRNAs) regulation have shown exciting results in tumor therapy. In this study, the original LUAD patient data was obtained from the TCGA database, and 12 FAM-related lncRNAs (AL390755.1, AC105020.6, TMPO-AS1, AC016737.2, AC127070.2, LINC01281, AL589986.2, GAS6-DT, AC078993.1, LINC02198, AC007032.1, and AL021026.1) that were highly related to the progression of LUAD were finally identified through bioinformatics analysis, and a risk score model for clinical reference was constructed. The window explores the immunology and molecular mechanism of LUAD, aiming to shed the hoping light on LUAD treatment.

A novel LUAD prognosis prediction model based on immune checkpoint-related lncRNAs.

Lung adenocarcinoma (LUAD) is a malignant disease with an extremely poor prognosis, and there is currently a lack of clinical methods for early diagnosis and precise treatment and management. With the deepening of tumor research, more and more attention has been paid to the role of immune checkpoints (ICP) and long non-coding RNAs (lncRNAs) regulation in tumor development. Therefore, this study downloaded LUAD patient data from the TCGA database, and finally screened 14 key ICP-related lncRNAs based on ICP-related genes using univariate/multivariate COX regression analysis and LASSO regression analysis to construct a risk prediction model and corresponding nomogram. After multi-dimensional testing of the model, the model showed good prognostic prediction ability. In addition, to further elucidate how ICP plays a role in LUAD, we jointly analyzed the immune microenvironmental changes in LAUD patients and performed a functional enrichment analysis. Furthermore, to enhance the clinical significance of this study, we performed a sensitivity analysis of common antitumor drugs. All the above works aim to point to new directions for the treatment of LUAD.