Marker For Adenocarcinoma Research Articles

Identification of potential prognostic markers for lung adenocarcinoma using comprehensive analysis.

Lung adenocarcinoma (LUAD) is a common malignancy throughout the world with high levels of mortality and morbidity. In the present study, potential biomarkers and treatment targets for LUAD were investigated using data from The Cancer Genome Atlas. Overall, 4,485 differentially expressed genes (DEGs) were identified (1,857 upregulated and 2,628 downregulated) between tumor and adjacent control tissues. Functional analysis with Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, Gene Set Variation Analysis and Gene Set Enrichment Analysis revealed significant enrichment of the DEGs in pathways related to system development, cell cycle and cell adhesion. Weighted gene co‑expression network analysis distinguished ten co‑expression modules on inclusion of the clinical profiles of patients with LUAD. Of these, the blue/turquoise modules showed peak association with tumor onset. Analysis of hub modules identified five hub genes, namely ANGPTL7, SLC6A4, PTPRQ, KCNA4 and TEDC2 (also known as C16orf59). Survival analysis revealed associations between hub‑gene expression profiles and patient prognosis. Downregulation of SLC6A4 in LUAD tumor tissues was confirmed using immunohistochemistry. Additional assays (Cell Counting Kit‑8, colony formation, scratch assay, cell cycle, Transwell invasion assay and cell adhesion assay) revealed that SLC6A4 overexpression inhibited A549 cell growth, invasion and migration. The findings demonstrated that the hub genes could act as treatment targets or new biomarkers for LUAD.

Diagnostic Utility of Claudin4 and Comparison with BerEp4 as a Marker for Metastatic Adenocarcinoma in Serous Effusions

Introduction: Fluid cytology for malignant cells is important for diagnosis and staging of malignancies. Morphological overlap between reactive mesothelial cells and adenocarcinoma poses challenges, for which many immunohistochemical markers like BerEp4 and MOC-31 have been used extensively. Claudin4 is a new marker with promising results; however, further studies are required to establish its role as a pan-carcinoma marker in serous effusions. This study aimed to determine the utility of Claudin4 in diagnosing metastatic adenocarcinoma in effusions and comparing its performance with BerEp4. Methods: Claudin4 immunohistochemistry (IHC) was performed on effusion cell blocks (n = 60) reported as positive or suspicious for metastatic adenocarcinoma on cytology over a 1-year period and was scored for intensity (0–3) and percentage of positive cells (0–4). The results were compared with BerEp4 IHC and correlated with follow-up. Ten benign effusions were included as negative controls. Results: Claudin4 IHC was positive in all 60 (100%) cases, irrespective of the primary site. BerEp4 IHC was positive in 58 (96.7%) fluids and negative in 2 (3.3%) cases. All 10 benign effusions were negative for Claudin4 and BerEp4. Claudin4 showed higher intensity and proportion scores as compared to BerEp4 in cases where tumor cells were predominantly singly scattered and was comparable to BerEp4 where tumor cells were arranged in groups. Sensitivity, specificity, PPV, and NPV of Claudin4 in our study was 100%. Sensitivity, specificity, PPV, and NPV of BerEP4 was 96.7%, 100%, 100%, and 83.3%, respectively. Conclusion: Claudin4 IHC staining results were comparable to BerEp4, irrespective of the primary site, and it performed better in cases where tumor cells were predominantly scattered singly.

FOLFIRINOX-loaded immunoliposome-like particles for localized pancreatic cancer treatment

FOLFIRINOX therapy, a combination of oxaliplatin, 5-fluorouracil, irinotecan, and leucovorin, is one of the most applied treatment schemes for pancreatic adenocarcinoma. However, because this form of treatment causes significant side effects, it has become important to reduce the dose of the drug administered to the patients and target the drug to the tumor tissue. This study presents the liposomal type of this therapy scheme to demonstrate its applicability to localized chemotherapy strategies. Briefly, lipid-based liposome-like particles have been synthesized and physically, chemically, and thermally characterized. Following the decoration of the liposome-like particles with anti-Mucin-4, a malignancy marker for pancreatic adenocarcinoma, the encapsulation efficiency of the FOLFIRINOX components and release profile of the FOLFIRINOX-loaded liposome-like particles have been analyzed using the high-pressure liquid chromatography. Cytotoxicity analyses and cellular encapsulation studies of Mucin-4-targeted liposome-like particles were performed in HPAF-II (ascites-derived cell, Mucin-4(+)) and PANC-I (tumor-derived cell, Mucin-4(−)) cells. The results have shown that Mucin-4-targeted liposome-like particles enter HPAF-II cells more selectively than PANC-I cells. Besides, after the FOLFIRINOX application, a significant difference was observed between the viability of HPAF-II and PANC-I cells at 100-fold dilution. In genotoxicity and apoptosis analysis, it was found that drug-loaded liposome-like particles caused DNA damage in cancer cells with the increase in concentration. The study suggests that Mucin-4-targeted liposome-like particles can provide superior patient welfare and a promising treatment model for pancreatic adenocarcinoma and can be used in localized chemotherapy applications due to their long-term stability, nanoscale size, and target-driven nature.

Cycas revoluta leaves: As a potential flavonoids source for targeted regulation of immune-related markers in lung adenocarcinoma

Cycas revoluta Thunb. (CR) is a widely distributed ornamental and economical plant, and its seeds are important sources of starch and β-cyclodextrin production. However, the medicinal value of CR leaves should also be considered, because flavonoids in CR leaves could represent a possible substance basis for the treatment of lung adenocarcinoma (LUAD). Oxidative stress (OS) and inflammatory immune response (IIR) have been reported to be associated with tumorigenesis and tumor progression. In this study, for the first time, Ultra-high-performance liquid chromatography-quadruple-electrostatic field orbitrap high resolution mass spectrometry (UPLC-Q Exactive Orbitrap-MS) method was used to systematically analyze the chemical profile of CR leaves, and characteristic fragment ions and fragmentation patterns of flavonoids obtained from CR. leaves was analyzed. Subsequently, network pharmacology and molecular docking methods were applied to explore the underlying central targets and related pathways of the targeted regulation of OS and IIR by flavonoids in CR leaves. Consequently, A total of 62 components were characterized from CR. including 10 flavonoids, which were (-)-epigallocatechin, amentoflavone, bilobetin, catechin, ginkgetin, hinokiflavone, naringenin, podocarpusflavone A, sciadopitysin, and vitexin respectively. The hub targets of these 10 flavonoids from CR in treating LUAD was narrowed in Fms-like tyrosine kinase 3 (FLT3), Cyclin A2 (CCNA2), Cyclin B1 (CCNB1), Insulin-like growth factor-binding protein 3 (IGFBP3), Peroxisome proliferator-activated receptor-γ (PPARG), Catalase (CAT), and Myeloid cell leukemia-1 (MCL1). Among them, amentoflavone and podocarpusflavone A have shown great therapeutic potential, while CAT and CCNA2 can be used as potential markers for future studies of flavonoids in CR leaves against LUAD from the perspective of OS and IIR. Taken together, the results showed that flavonoids in CR leaves are potential sources of anti-LUAD compounds by targeting OS and IIR, which will offer a scientific insight for the exploitation and application of CR leaves as functional resources and also provide methodological references for the deeper development of other cash crops.

Stromal micropapillary pattern and CD44s expression predict worse outcome in lung adenocarcinomas with micropapillary pattern

ObjectivesThis study aims to investigate the clinicopathologic characteristics of lung adenocarcinoma with micropapillary pattern (MPP) and the expression of CD44s and CD44v6 in MPP. MethodsA total of 202 patients diagnosed with primary lung adenocarcinoma with MPP were included. We estimated the proportion of MPP in each tumor tissue and divided MPP into aerogenous micropapillary pattern (AMP) and stromal micropapillary pattern (SMP). The expression of CD44s and CD44v6 was estimated by immunohistochemical staining. Clinicopathologic data were collected from the patients’ medical records. We also collected patients’ follow-up data and used PFS (progression-free survival) as a survival indicator. ResultsLung adenocarcinoma with MPP had a high risk of pleural invasion, lymph node metastasis, in advanced TNM stage, and a high rate of EGFR mutation. The presence of SMP indicated a higher rate of pleural invasion, lymphovascular invasion, lymph node metastasis, and a worse PFS compared with pure AMP. We found high expression of CD44s in micropapillary, especially in AMP, while the absence of CD44s expression indicated shorter survival, which was an independent unfavorable factor for PFS. ConclusionsLung adenocarcinoma with micropapillary pattern indicated an unfavorable prognosis, which had two different pattens, AMP and SMP. SMP indicated a worse survival than AMP, and was an independent unfavorable factor for PFS. So, AMP/SMP subclassification is necessary to evaluate patient’s prognosis. Furthermore, the absent expression of CD44s in micropapillary indicated shorter survival, especially in patients with EGFR mutation. Herein, CD44s may be a biological marker for micropapillary lung adenocarcinoma.

In silico analysis reveals PRR11 as a prognostic and oncogenic marker in lung adenocarcinoma

Lung adenocarcinoma (LUAD) is a common lung cancer. Although there are various treatments for LUAD, its prognosis remains poor. Therefore, it is imperative to identify new targets and develop novel therapeutic strategies. In this study, we analyze the expression of proline rich 11 (PRR11) in pan cancer based on The Cancer Genome Atlas (TCGA) database, and explore the prognostic value of PRR11 in LUAD by GEPIA2 (Gene Expression Profiling Interactive Analysis, version 2) database. In addition, the relationship between PRR11 and the clinicopathological features of LUAD was analyzed using UALCAN database. The association between PRR11 expression and immune infiltration was accessed. The PRR11 related genes were screened using LinkOmics and GEPIA2. Gene Ontology Term Enrichment (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis was performed by David database. The results suggested that the expression of PRR11 in most tumor tissues was significantly higher than that in normal tissues. In LUAD patients, high expression of PRR11 was associated with shortened first progression survival (FPS), overall survival (OS) and post progression survival (PPS), and correlated with individual cancer stage, race, gender, smoking habit, and tissue subtype. Besides, the high expression of PRR11 was accompanied by a relatively higher infiltration level of cancer-associated fibroblasts (CAFs) and myeloid-derived suppressor cell (MDSC), and decreased infiltration level of CD8+ T cells in the tumor microenvironment. GO analyses showed that PRR11 participated in biological processes such as cell division and cell cycle, and was involved in protein binding and microtubule binding functions. KEGG analyses revealed that PRR11 was implicated in p53 signaling pathway. All the results indicated that PRR11 might be an independent prognostic biomarker and therapeutic target for LUAD.

Assessment of the diagnostic value and prognosis of different detection markers in endocervical adenocarcinoma

Objective: To study the diagnostic value of different detection markers in histological categories of endocervical adenocarcinoma (ECA), and their assessment of patient prognosis. Methods: A retrospective study of 54 patients with ECA in the Cancer Hospital, Chinese Academy of Medical Sciences from 2005-2010 were performed. The cases of ECA were classified into two categories, namely human papillomavirus-associated adenocarcinoma (HPVA) and non-human papillomavirus-associated adenocarcinoma (NHPVA), based on the 2018 international endocervical adenocarcinoma criteria and classification (IECC). To detect HR-HPV DNA and HR-HPV E6/E7 mRNA in all patients, we used whole tissue section PCR (WTS-PCR) and HPV E6/E7 mRNA in situ hybridization (ISH) techniques, respectively. Additionally, we performed Laser microdissection PCR (LCM-PCR) on 15 randomly selected HR-HPV DNA-positive cases to confirm the accuracy of the above two assays in identifying ECA lesions. Receiver operating characteristic (ROC) curves were used to analyze the efficacy of markers to identify HPVA and NHPVA. Univariate and multifactorial Cox proportional risk model regression analyses were performed for factors influencing ECA patients' prognoses. Results: Of the 54 patients with ECA, 30 were HPVA and 24 were NHPVA. A total of 96.7% (29/30) of HPVA patients were positive for HR-HPV DNA and 63.3% (19/30) for HR-HPV E6/E7 mRNA, and 33.3% (8/24) of NHPVA patients were positive for HR-HPV DNA and HR-HPV E6/E7 mRNA was not detected (0/24), and the differences were statistically significant (P<0.001). LCM-PCR showed that five patients were positive for HR-HPV DNA in the area of glandular epithelial lesions and others were negative, which was in good agreement with the E6/E7 mRNA ISH assay (Kappa=0.842, P=0.001). Analysis of the ROC results showed that the AUC of HR-HPV DNA, HR-HPV E6/E7 mRNA, and p16 to identify HPVA and NHPVA were 0.817, 0.817, and 0.692, respectively, with sensitivities of 96.7%, 63.3%, and 80.0% and specificities of 66.7%, 100.0%, and 58.3%, respectively. HR-HPV DNA identified HPVA and NHPVA with higher AUC than p16 (P=0.044). The difference in survival rates between HR-HPV DNA (WTS-PCR assay) positive and negative patients was not statistically significant (P=0.156), while the difference in survival rates between HR-HPV E6/E7 mRNA positive and negative patients, and p16 positive and negative patients were statistically significant (both P<0.05). Multifactorial Cox regression analysis showed that International Federation of Obstetrics and Gynecology (FIGO) staging (HR=19.875, 95% CI: 1.526-258.833) and parametrial involvement (HR=14.032, 95% CI: 1.281-153.761) were independent factors influencing the prognosis of patients with ECA. Conclusions: HR-HPV E6/E7 mRNA is more reflective of HPV infection in ECA tissue. The efficacy of HR-HPV E6/E7 mRNA and HR-HPV DNA (WTS-PCR assay) in identifying HPVA and NHPVA is similar, with higher sensitivity of HR-HPV DNA and higher specificity of HR-HPV E6/E7 mRNA. HR-HPV DNA is more effective than p16 in identifying HPVA and NHPVA. HPV E6/E7 mRNA and p16 positive ECA patients have better survival rates than negative.

Late recurrent gastric carcinoma 12 years after surgery with attenuation of CD44 variant 9 expression

BackgroundLate recurrence of gastric cancer at 10 years post-gastrectomy is extremely rare, and the underlying mechanism remains unclear. We report a para-aortic lymph node metastasis case that recurred 12 years postoperatively.Case presentationA 44-year-old woman pathologically diagnosed with moderately to poorly differentiated adenocarcinoma with pT2(SS)pN2cM0pStageIIIA according to the Japanese Classification of Gastric Carcinoma (the 13th Edition) underwent laparoscopic distal gastrectomy with D1 + lymph node dissection. She received adjuvant chemotherapy with tegafur-uracil (400 mg/day) for 2 years. At postoperative year (POY) 5, a swollen lymph node was detected in the No.16b1lat lymph node station. However, positron emission tomography (PET) revealed normal uptake, and the levels of tumor markers were within normal limits; hence, the possibility of metastasis was considered low, and the patient was placed under observation. At POY 12, computed tomography revealed an enlargement of the No.16b1lat lymph node station, and PET showed abnormal uptake. Endoscopic ultrasound-guided fine-needle aspiration revealed a moderately differentiated adenocarcinoma. Hence, a diagnosis of recurrence of gastric cancer was made. The patient underwent para-aortic nodal dissection (PAND) of No.16b1lat & int stations. Immunochemical staining results also suggested the recurrence of gastric cancer. However, the expression of CD44 variant 9 (CD44v9), a cancer stem cell marker for gastric adenocarcinoma, was attenuated in the recurrent lesions compared with that in the primary lesions. Postoperatively, she received chemotherapy with tegafur–gimeracil–oteracil (80 mg/day) for 1 year. Bone metastasis was observed at POY 4 after PAND, and the IHC analysis showed a HER2 score of 3 + in a needle biopsy specimen of bone metastasis. The expression of CD44v9 was slightly positive. The patient is being treated with chemotherapy with FOLFOX + trastuzumab.ConclusionsA defense mechanism against reactive oxygen species has been reported as a mechanism causing recurrence of CD44v9-positive gastric cancer. Consequently, CD44v9-positive gastric cancer grows in metastatic organs, repeatedly self-renews, and proliferates to form recurrent lesions. In the present case, the degree of CD44v9 staining in recurrent lesions was suggested to be related to the recurrence time.

NKX3.1 immunohistochemistry and methylome profiling in mesenchymal chondrosarcoma: additional diagnostic value for a well-defined disease?

Mesenchymal chondrosarcoma (MCS) is a rare and highly aggressive tumour of soft tissue and bone that is defined by an underlying and highly specific fusion transcript involving HEY1 and NCOA2. Histologically, the tumours show a biphasic appearance consisting of an undifferentiated blue and round cell component as well as islands of highly differentiated cartilage. Particularly in core needle biopsies, the chondromatous component can be missed and the non-specific morphology and immunophenotype of the round cell component can cause diagnostic challenges. We applied NKX3.1 immunohistochemistry which was recently reported as a highly specific marker as well as methylome and copy number profiling to a set of 45 well characterised MCS cases to evaluate their potential diagnostic value. Methylome profiling revealed a highly distinct cluster for MCS. Notably, the findings were reproducible also when analysing the round cell and cartilaginous component separately. Furthermore, four outliers were identified by methylome profiling for which the diagnosis had to be revised. NKX3.1 immunohistochemistry showed positivity in 36% of tumours, the majority of which was rather focal and weak. Taken together, NKX3.1 expression showed a low sensitivity but a high specificity in our analysis. Methylome profiling on the other hand represents a sensitive, specific and reliable tool to support the diagnosis of MCS, particularly if only the round cell component is obtained in a biopsy and the diagnosis is not suspected. Furthermore, it can aid in confirming the diagnosis in case RNA sequencing for the HEY1::NCOA2 fusion transcript is not available.

MAGED4B is a Poor Prognostic Marker of Stomach Adenocarcinoma and a Potential Therapeutic Target for Stomach Adenocarcinoma Tumorigenesis.

Gastric cancer is the second most common cause of cancer death worldwide with poor overall prognosis. It is important to study the molecular mechanism of stomach adenocarcinoma (STAD). MAGED4B, a member of the melanoma antigen gene (MAGE) family, is highly expressed in many tumor cells and is associated with tumor progression. Its prognostic value in and the function of the encoded protein are still unclear. The data of 415 STAD tissues was retrieved from TCGA database, and the expression level of MAGED4B mRNA was evaluated. The correlation between the expression of MAGED4B mRNA and the progression free survival (PFS) time of STAD patients was evaluated by Kaplan Meier analysis. The STAD cell lines with overexpressed and silent MAGED4B were constructed, and the effects of MAGED4B on the viability, migration and proliferation were evaluated by the CCK-8, scratch test and EDU test. The flow cytometry was used to detect apoptosis with overexpressed and silent MAGED4B under the cisplatin treatment, and WB was used to detect the expressions of related proteins, such as TNF-α. The expression level of MAGED4B mRNA in the STAD tissues was higher than that in the normal tissues, and its high expression was related to poor PFS. The overexpression of MAGED4B in the STAD cell lines can promote the vitality, motility and proliferation of the STAD cells, while the silencing of MAGED4B can inhibit the above three cell functions of the STAD cells. The overexpression of MAGED4B can reduce the cisplatin induced apoptosis and increase the cisplatin IC50; the silencing of MAGED4B can promote the cisplatin induced apoptosis and reduce the cisplatin IC50. The overexpression of MAGED4B reduced the protein levels of TRIM27 and TNF- α. MAGED4B could be a valuable prognostic biomarker and a therapeutic target for gastric adenocarcinoma of great interest.

Regulation of early diagnosis and prognostic markers of lung adenocarcinoma in immunity and hypoxia

Lung adenocarcinoma is still cancer with the highest mortality. Hypoxia and immunity play an essential role in the occurrence and development of tumors. Therefore, this study is mainly to find new early diagnosis and prognosis markers and explore the relationship among the markers and immunity and hypoxia, to improve the prognosis of patients. Firstly, based on the clinical database in TCGA, we determined the most critical clinicopathological parameters affecting the prognosis of patients through a variety of analysis methods. According to pathological parameters, logistic most minor absolute contraction selection operator (lasso), univariate and multivariate regression analysis, the risk genes related to early prognosis were screened, and the risk model was established. Then, in different risk groups, GSEA and CIBERSORT algorithms were used to analyze the distribution and enrichment of the immune cells and hypoxia, to study the effects of early prognostic indicators on hypoxia and immunity. At the same time, we analyzed the different levels of risk genes in normal cells (BSEA-2B) and tumor cells (H1299, A549, PC9, and H1975). Finally, A549 and PC9 cells were induced by CoCl2 to establish a hypoxic environment, and the correlation between risk genes and HIF1A was analyzed. The risk model based on risk genes (CYP4B1, KRT6A, and FAM83A) was accurate and stable for the prognosis of patients. It is closely related to immunity and hypoxia. In BSEA-2B cells, the mRNA and protein expression of CYP4B1 was higher, while the expression of KRT6A and FAM83A was lower. Finally, we found that FAM83A and HIF1A showed a significant positive correlation when A549 and PC9 cells were exposed to hypoxia. The discovery of early diagnostic markers related to immunity, hypoxia, and prognosis, provides a new idea for early screening and prognostic treatment of lung adenocarcinoma.

GlaI cleavage assistant isothermal exponential amplification coupling with CRISPR/Cas12a for ultrasensitive detection of CLDN11 methylation: A potential marker for lung adenocarcinoma

DNA methylation is closely associated with cancer, and sensitive detection of DNA methylation is immensely significant for early cancer screening. In this study, for the first time, we identified CLDN11 methylation as a valuable marker for lung adenocarcinoma diagnosis and prognosis based on database analysis and experimental verification using clinical tissues and sera. Then, a flexible platform was proposed for ultrasensitive detection of CLDN11 methylation by integrating methylation-dependent restriction endonuclease GlaI cleavage with exponential amplification reaction (EXPAR) and CRISPR/Cas12a (GlaI–EXPAR–Cas12a platform). GlaI only recognizes and cleaves methylated target sites with excellent selectivity; the released fragments are primers for triggering EXPAR–CRISPR/Cas12a. Using Cas12a, false positives generated by EXPAR can be weakened to a negligible level. The proposed platform for detecting CLDN11 methylation achieved excellent performance, with a low limit of detection (1.25 × 10–15 M), and reliably identified CLDN11 methylation at an abundance of 0.1 % even in the presence of a large number of unmethylated fragments. More importantly, the proposed platform can be used for the quantification of human serum and genomic DNA, as well as to distinguish normal cells (HEK293) from cancer cells (H1299, A549 and H358). Through this integration platform, all 20 lung adenocarcinoma tissues exhibited significantly higher levels of CLDN11 methylation than a total of 16 paracancerous tissues. Taken together, the GlaI–EXPAR–Cas12a platform is ultrasensitive and convenient, and has perfect specificity. Further, it may function as a flexible platform for early screening of lung adenocarcinoma.

Eukaryotic Initiation Factor 5A2 localizes to actively translating ribosomes to promote cancer cell protrusions and invasive capacity

BackgroundEukaryotic Initiation Factor 5A (eIF-5A), an essential translation factor, is post-translationally activated by the polyamine spermidine. Two human genes encode eIF-5A, being eIF5-A1 constitutively expressed whereas eIF5-A2 is frequently found overexpressed in human tumours. The contribution of both isoforms with regard to cellular proliferation and invasion in non-small cell lung cancer remains to be characterized.MethodsWe have evaluated the use of eIF-5A2 gene as prognosis marker in lung adenocarcinoma (LUAD) patients and validated in immunocompromised mice. We have used cell migration and cell proliferation assays in LUAD lines after silencing each eIF-5A isoform to monitor their contribution to both phenotypes. Cytoskeleton alterations were analysed in the same cells by rhodamine-phalloidin staining and fluorescence microscopy. Polysome profiles were used to monitor the effect of eIF-5A2 overexpression on translation. Western blotting was used to study the levels of eIF-5A2 client proteins involved in migration upon TGFB1 stimulation. Finally, we have co-localized eIF-5A2 with puromycin to visualize the subcellular pattern of actively translating ribosomes.ResultsWe describe the differential functions of both eIF-5A isoforms, to show that eIF5-A2 properties on cell proliferation and migration are coincident with its features as a poor prognosis marker. Silencing of eIF-5A2 leads to more dramatic consequences of cellular proliferation and migration compared to eIF-5A1. Overexpression of eIF-5A2 leads to enhanced global translation. We also show that TGFβ signalling enhances the expression and activity of eIF-5A2 which promotes the translation of polyproline rich proteins involved in cytoskeleton and motility features as it is the case of Fibronectin, SNAI1, Ezrin and FHOD1. With the use of puromycin labelling we have co-localized active ribosomes with eIF-5A2 not only in cytosol but also in areas of cellular protrusion. We have shown the bulk invasive capacity of cells overexpressing eIF-5A2 in mice.ConclusionsWe propose the existence of a coordinated temporal and positional interaction between TFGB and eIF-5A2 pathways to promote cell migration in NSCLC. We suggest that the co-localization of actively translating ribosomes with hypusinated eIF-5A2 facilitates the translation of key proteins not only in the cytosol but also in areas of cellular protrusion.5zFBY1s4Yn-gzgeYzNdWy3Video

Mir-421 and mir-550a-1 are potential prognostic markers in esophageal adenocarcinoma

ObjectiveTo identify the prognostic indicators of esophageal adenocarcinoma (EAC) for future EAC diagnosis and treatment.MethodsThe EAC dataset from The Cancer Genome Atlas was screened for differentially expressed microRNAs (miRNAs) and mRNAs associated with EAC. Weighted gene coexpression network analysis was performed to cluster miRNAs or mRNA with similar expression patterns to identify the miRNAs or mRNA that are highly associated with EAC. Prognostic miRNAs for overall survival (OS) were identified using Cox proportional-hazards regression analysis and least absolute shrinkage and selection operator based on survival duration and status. Two types of miRNAs were selected to develop a prognostic signature model for EAC using multiple Cox regression analysis. Furthermore, the signature was validated using internal validation sets 1 and 2. The receiver operating characteristic curve and concordance index were used to evaluate the accuracy of the signature and validation sets. The expression of miR-421, miR-550a-3p, and miR-550a-5p was assessed using quantitative polymerase chain reaction (qPCR). The proliferation, invasion, and migration of EAC cells were assessed using CCK8 and transwell assays. The OS of target mRNAs was assessed using Kaplan–Meier analysis. Functional enrichment analysis of the target mRNAs was performed using Metascape.ResultsThe prognostic signature and validation sets comprising mir-421 and mir-550a-1 had favorable predictive power in OS. Compared with the patients with EAC in the high-expression group, those assigned to the low-expression group displayed increased OS according to survival analysis. Differential and qPCR analysis showed that miR-421, miR-550a-3p, and miR-550a-5p were highly expressed in the EAC tissues and cell lines. Moreover, the downregulation of miR-421 and miR-550a-3p with inhibitor markedly suppressed the proliferation, invasion, and migration in OE33 cells compared with the negative control. A total of 20 target mRNAs of three miRNAs were predicted, among which seven target mRNAs—ASAP3, BCL2L2, LMF1, PPM1L, PTPN21, SLC18A2, and NR3C2—had prognostic value; PRKACB, PDCD4, RPS6KA5, and BCL2L2 were enriched in the miRNA cancer pathway.ConclusionPrognostic indicators of EAC may be useful in future EAC diagnosis and treatment.

Identification of four metabolic subtypes and key prognostic markers in lung adenocarcinoma based on glycolytic and glutaminolytic pathways

BackgroundGlucose and glutamine are the main energy sources for tumor cells. Whether glycolysis and glutaminolysis play a critical role in driving the molecular subtypes of lung adenocarcinoma (LUAD) is unknown. This study attempts to identify LUAD metabolic subtypes with different characteristics and key genes based on gene transcription profiling data related to glycolysis and glutaminolysis, and to construct prognostic models to facilitate patient outcome prediction.MethodsLUAD related data were obtained from the Cancer Genome Atlas and Gene Expression Omnibus, including TCGA-LUAD, GSE42127, GSE68465, GSE72094, GSE29013, GSE31210, GSE30219, GSE37745, GSE50081. Unsupervised consensus clustering was used for the identification of LUAD subtypes. Differential expression analysis, weighted gene co-expression network analysis (WGCNA) and CytoNCA App in Cytoscape 3.9.0 were used for the screening of key genes. The Cox proportional hazards model was used for the construction of the prognostic risk model. Finally, qPCR analysis, immunohistochemistry and immunofluorescence colocalization were used to validate the core genes of the model.ResultThis study identified four distinct characterized LUAD metabolic subtypes, glycolytic, glutaminolytic, mixed and quiescent types. The glycolytic type had a worse prognosis than the glutaminolytic type. Nine genes (CXCL8, CNR1, AGER, ALB, S100A7, SLC2A1, TH, SPP1, LEP) were identified as hub genes driving the glycolytic/glutaminolytic LUAD. In addition, the risk assessment model constructed based on three genes (SPP1, SLC2A1 and AGER) had good predictive performance and could be validated in multiple independent external LUAD cohorts. These three genes were differentially expressed in LUAD and lung normal tissues, and might be potential prognostic markers for LUAD.ConclusionLUAD can be classified into four different characteristic metabolic subtypes based on the glycolysis- and glutaminolysis-related genes. Nine genes (CXCL8, CNR1, AGER, ALB, S100A7, SLC2A1, TH, SPP1, LEP) may play an important role in the subtype-intrinsic drive. This metabolic subtype classification, provides new biological insights into the previously established LUAD subtypes.

CXCL10 is a prognostic marker for pancreatic adenocarcinoma and tumor microenvironment remodeling

Background:The tumor microenvironment (TME) plays a crucial role in the progression of pancreatic adenocarcinoma (PAAD). However, challenges remain regarding the role played by TME associated genes in the prognosis of PAAD.Methods:The scores of tumor infiltrating immune cells (TICs), the immune and stroma scores of 182 PAAD patients in the Cancer Genome Atlas (TCGA) database were determined using CIBERSORT and ESTIMATE calculations. The final genes were identified by protein-protein interaction (PPI) networks and univariate Cox regression of differentially expressed genes. Finally, the correlation between gene expression and TCGA and clinical characteristics of patients in local hospital database was discussed. Gene set enrichment analysis (GSEA), the association between CXCL10 expression and TICs components were conducted.Results:In TCGA database and local hospital data, CXCL10 expression was correlated with the survival rate and TNM classification of patients with PAAD. Immune-related activities were enriched in the CXCL10 high expression group, while metabolic pathways were enriched in the CXCL10 low expression group. The expression of CXCL10 correlated with the proportion of TICs. CXCL10 expression was correlated with the proportion of TICs.Conclusion:CXCL10 is a potential prognostic marker for PAAD and provide additional insights into the treatment of PAAD based on TME transformation. However, more independent experimentation with the CXCL10 is need.

The utility of PD-L1 as a prognostic marker in pancreatic ductal adenocarcinoma (PDAC).

753 Background: The PDAC tumor microenvironment is notoriously immune suppressive, and PD-L1 expression is one mechanism by which tumor cells evade immune surveillance. In PDAC, clinical trials evaluating immunotherapy have not been successful in microsatellite stable tumors, and PD-L1 has not been shown to be predictive of immunotherapy response. Studies suggest that high PD-L1 expression may be associated with worse clinical outcomes and more advanced disease. We aimed to evaluate PD-L1 as a prognostic marker in routine clinical practice using a real-world population of patients with PDAC. Methods: We conducted a retrospective study of patients with PDAC at Mount Sinai Health System from 5/2017 to 12/2021 for whom PD-L1 status by immunohistochemistry (22c3) and combined positive score (CPS) were reported. We assessed the association between PD-L1 expression and overall survival (OS) using Kaplan-Meier estimates and multivariable Cox proportional hazards regression models. Chi-squared tests were used to evaluate the association between PD-L1 expression and mutations detected by routine next generation sequencing (NGS) using a standard panel. Results: 107 patients were evaluable. At diagnosis, median age was 68 years, 43% of patients were male, 83% had ECOG performance status 0-1, 38% had resectable disease, 14% had borderline resectable disease, and 48% had unresectable disease. Ultimately, 45 patients (42%) underwent surgery. 44% patients had gemcitabine-based initial therapy, perioperatively or as first-line, and 56% had 5FU-based initial therapy. 35% of patients had radiation therapy (RT) at any time. In the entire cohort, 44 (41%) patients had PD-L1 CPS &lt; 1, and 63 patients had CPS ≥ 1. 93 patients had NGS, but no associations were found between PD-L1 status and commonly mutated genes, such as KRAS and SMAD4. For patients who underwent surgery, the median OS (mOS) of patients with PD-L1 CPS ≥ 1 was 46.1 months, and mOS of PD-L1 CPS &lt; 1 was 29.8 months ( P = 0.13). For patients who did not receive surgery, mOS was 12.3 months for CPS ≥ 1 and 15.8 months for CPS &lt; 1 ( P = 0.07). When adjusted for age, gender, ECOG score, stage, type of chemotherapy, RT, and baseline CA 19-9 level, patients who received surgery and had a CPS ≥ 1 had better OS than those who had CPS &lt; 1 (HR 0.22, 95% CI 0.06-0.77, P = 0.02). For patients without resection, CPS ≥ 1 was not associated with OS in the adjusted model (HR 1.52, 95% CI 0.73-3.15, P = 0.26). However, patients with PD-L1 CPS ≥ 10 without surgery had worse OS compared to patients with CPS &lt; 1 in the adjusted model (HR 11.02, 95% CI 2.89-41.96, P &lt; 0.001). Chemotherapy type and receipt of RT did not modify OS based on PD-L1 expression. Conclusions: In resected PDAC, PD-L1 CPS ≥ 1 was independently associated with improved OS, whereas in unresectable PDAC, PD-L1 CPS ≥ 10 was independently prognostic of worse OS. PD-L1 expression is a potential prognostic factor in PDAC and may be a useful and context-dependent biomarker.

Differential Plasma Proteins Identified via iTRAQ-Based Analysis Serve as Diagnostic Markers of Pancreatic Ductal Adenocarcinoma.

We aimed to identify differentially expressed proteins in the plasma of patients with pancreatic cancer and control subjects, which could serve as potential tumor biomarkers. Differentially expressed proteins were determined via isostatic labeling and absolute quantification (iTRAQ). Potential protein biomarkers were identified via enzyme-linked immunosorbent assay (ELISA) in 40 patients and 40 control subjects, and those eventually selected were further validated in 40 pancreatic cancer and normal pancreatic tissues. In total, 30 proteins displayed significant differences in expression among which 21 were downregulated and 9 were upregulated compared with the control group. ELISA revealed downregulation of peroxiredoxin-2 (PRDX2) and upregulation of alpha-1-antitrypsin (AAT), Ras-related protein Rab-2B (RAB2B), insulin-like growth factor-binding protein 2 (IGFBP2), Rho-related GTP-binding protein RhoC (RHOC), and prelamin-A/C (LMNA) proteins in 40 other samples of pancreatic cancer. Notably, only AAT, RAB2B, and IGFBP2 levels were consistent with expression patterns obtained with iTRAQ. Moreover, all three proteins displayed a marked increase in pancreatic cancer tissues. Data from ROC curve analysis indicated that the diagnostic ability of AAT, RAB2B, and IGFBP2 combined with carbohydrate antigen 19-9 (CA19-9) for pancreatic cancer was significantly greater than that of the single indexes (area under the curve (AUC): 90% vs. 75% (CA19-9), 76% (AAT), 71% (RAB2B), and 71% (IGFBP2), all P < 0.01). AAT, RAB2B, and IGFBP2 could serve as effective biomarkers to facilitate the early diagnosis of pancreatic cancer.

Prognostic significance of preoperative serum tumor markers in hepatoid adenocarcinoma of stomach (HAS)

BackgroundThe role of preoperative serum tumor markers in HAS patients was vague, we designed the study to explore the effect of preoperative serum tumor markers on predicting the prognosis of HAS patients.MethodsA total of 139 patients were included according to the different tumor makers. X-tile tool was employed to identify the optimal cut-off values of respective tumor makers. Multivariate analyses were conducted to determine independent risk factors.ResultsThe optimal cut-off value of alpha-fetoprotein (AFP) for 3-years overall survival (OS) and recurrence-free survival (RFS) was 516 ng/mL. Patients with high-level AFP values assumed significantly worse OS and RFS than those with low-level AFP values (P = 0.028 and P = 0.011, respectively). The optimal cut-off value of Carbohydrate antigen (CA)19–9 for OS and RFS was 51.3 U/mL. And the survival results were similar with AFP in the aspects of OS and RFS (P = 0.009 and P < 0.001, respectively). Multivariate analyses showed that high serum AFP was an independent risk factor for OS and RFS of HAS patients (HR7.264; 95% CI 1.328–39.738; P = 0.022 and HR 2.688; 95% CI 0.922–7.836; P = 0.070, respectively). CA19–9 could perform as a fair substitute to predict the HAS patients’ OS and RFS when the preoperative serum AFP was unavailable (HR 7.816; 95% CI 2.084–29.308; P = 0.002 and HR 4.386; 95% CI 1.824–10.547; P = 0.001, respectively). Other tumor markers didn’t present significant influences.ConclusionsApplying preoperative serum AFP level to predict the HAS patients’ prognosis is feasible and preoperative serum high-AFP is an independent risk factor for OS and RFS of HAS patients. Preoperative serum CA19–9 could be an alternative choice when AFP was absent.

Identification and Interaction Analysis of Molecular Markers in Pancreatic Ductal Adenocarcinoma by Bioinformatics and Next-Generation Sequencing Data Analysis.

Pancreatic ductal adenocarcinoma (PDAC) is one of the most common cancers worldwide. Intense efforts have been made to elucidate the molecular pathogenesis, but the molecular mechanisms of PDAC are still not well understood. The purpose of this study is to further explore the molecular mechanism of PDAC through integrated bioinformatics analysis. To identify the candidate genes in the carcinogenesis and progression of PDAC, next-generation sequencing (NGS) data set GSE133684 was downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified, and Gene Ontology (GO) and pathway enrichment analyses were performed. The protein-protein interaction network (PPI) was constructed and the module analysis was performed using Integrated Interactions Database (IID) interactome database and Cytoscape. Subsequently, miRNA-DEG regulatory network and TF-DEG regulatory network were constructed using miRNet database, NetworkAnalyst database, and Cytoscape software. The expression levels of hub genes were validated based on Kaplan-Meier analysis, expression analysis, stage analysis, mutation analysis, protein expression analysis, immune infiltration analysis, and receiver operating characteristic (ROC) curve analysis. A total of 463 DEGs were identified, consisting of 232 upregulated genes and 233 downregulated genes. The enriched GO terms and pathways of the DEGs include vesicle organization, secretory vesicle, protein dimerization activity, lymphocyte activation, cell surface, transferase activity, transferring phosphorus-containing groups, hemostasis, and adaptive immune system. Four hub genes (namely, cathepsin B [CCNB1], four-and-a-half LIM domains 2 (FHL2), major histocompatibility complex, class II, DP alpha 1 (HLA-DPA1) and tubulin beta 1 class VI (TUBB1)) were obtained via taking interaction of different analysis results. On the whole, the findings of this investigation enhance our understanding of the potential molecular mechanisms of PDAC and provide potential targets for further investigation.