Pathology oncology research : POR最新文献

{"title":"Clinicopathological Implications of ASAP1 Expression in Hepatocellular Carcinoma.","authors":"Seongsik Bang,&nbsp;Seungyun Jee,&nbsp;Hwangkyu Son,&nbsp;Hyebin Cha,&nbsp;Jongmin Sim,&nbsp;Yeseul Kim,&nbsp;Hosub Park,&nbsp;Jaekyung Myung,&nbsp;Hyunsung Kim,&nbsp;Seungsam Paik","doi":"10.3389/pore.2022.1610635","DOIUrl":"https://doi.org/10.3389/pore.2022.1610635","url":null,"abstract":"<p><p><b>Background:</b> The expression of ArfGAP with SH3 domain ankyrin repeat and PH domain 1 (ASAP1) is increased in various types of cancer, showing potential as a prognostic marker. The clinicopathological implications of ASAP1 expression in patients with hepatocellular carcinoma (HCC) remain unclear. We thus investigated the clinicopathological significance and prognostic effect of ASAP1 expression in HCC patients. <b>Materials and Methods:</b> ASAP1 expression was assessed in 149 HCC tissue samples using immunohistochemistry (IHC). The associations between ASAP1 expression and clinicopathological characteristics were analyzed. The prognostic effect of ASAP1 expression in patients with HCC was evaluated based on survival analyses and confirmed using a web-based tool. <b>Results:</b> ASAP1 expression was observed in the cytoplasm of tumor cells. High ASAP1 expression was observed in 89 (59.7%) of 149 cases. High ASAP1 expression was significantly associated with male patients (<i>p</i> = 0.018), higher histological grade (<i>p</i> = 0.013), vessel invasion (<i>p</i> = 0.021), and higher stage (<i>p</i> = 0.020). High ASAP1 expression was associated with shorter overall survival (OS; <i>p</i> = 0.041) and recurrence-free survival (RFS; <i>p</i> = 0.008) based on Kaplan-Meier survival analyses. Web-based analysis using Kaplan-Meier (KM) plotter showed high mRNA ASAP1 expression to be associated with short OS (<i>p</i> = 0.001). <b>Conclusion:</b> High ASAP1 expression was associated with aggressive clinicopathological characteristics and poor clinical outcomes in patients with HCC. ASAP1 can be considered a prognostic biomarker in HCC patients.</p>","PeriodicalId":411887,"journal":{"name":"Pathology oncology research : POR","volume":" ","pages":"1610635"},"PeriodicalIF":2.8,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468229/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40360618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IL-33 Participates in the Development of Esophageal Adenocarcinoma.","authors":"Jia Liu,&nbsp;Lei Liu,&nbsp;Yang Su,&nbsp;Yi Wang,&nbsp;Yuchun Zhu,&nbsp;Xiaobin Sun,&nbsp;Yuanbiao Guo,&nbsp;Jing Shan","doi":"10.3389/pore.2022.1610474","DOIUrl":"https://doi.org/10.3389/pore.2022.1610474","url":null,"abstract":"<p><p><b>Background:</b> The progression from chronic gastroesophageal reflux disease (GERD) to Barrett esophagus (BE) and esophageal adenocarcinoma (EAC) is an inflammatory-driven neoplastic change. Interleukin-33 (IL-33) has identified as a crucial factor in several inflammatory disorders and malignancies. <b>Methods:</b> The high-density tissue microarray of the human EAC was analyzed with IL-33 immunohistochemistry staining (IHC). By anastomosing the jejunum with the esophagus, the rat model of EAC with mixed gastroduodenal reflux was established. The expression of IL-33 was determined using quantitative real-time polymerase chain reaction (RT-qPCR), western blot (WB), IHC and enzyme-linked immunosorbent assay (ELISA). Esophageal adenocarcinoma cells (OE19 and OE33) and human esophageal epithelial cells (HEECs) were used. <b>Results:</b> In the cytoplasm of human EAC tissue, IL-33 expression was substantially greater than in adjacent normal tissue. In rat model, the expression of IL-33 in the EAC group was considerably greater than in the control group, and this expression increased with the upgrade of pathological stage. In <i>in vitro</i> experiment, the mRNA and protein levels of IL-33 were considerably greater in OE19 and OE33 than in HEECs. The stimulation of IL-33 enhanced the proliferation, migration, invasion, and epithelial-mesenchymal transition (EMT) of OE19 and OE33, but soluble ST2 (sST2) inhibited these effects. IL-33 stimulated the release of IL-6 by OE19 and OE33 cells. <b>Conclusion:</b> This study demonstrated the overexpression of IL-33 in the transition from GERD to EAC and that IL-33 promoted carcinogenesis in EAC cells through ST2. IL-33 might be a possible preventive target for EAC.</p>","PeriodicalId":411887,"journal":{"name":"Pathology oncology research : POR","volume":" ","pages":"1610474"},"PeriodicalIF":2.8,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469785/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40360617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thrombospondin 2 is a Functional Predictive and Prognostic Biomarker for Triple-Negative Breast Cancer Patients With Neoadjuvant Chemotherapy.","authors":"Yuxiang Lin,&nbsp;E Lin,&nbsp;Yan Li,&nbsp;Xiaobin Chen,&nbsp;Minyan Chen,&nbsp;Jun Huang,&nbsp;Wenhui Guo,&nbsp;Lili Chen,&nbsp;Long Wu,&nbsp;Xiang Zhang,&nbsp;Wenzhe Zhang,&nbsp;Xuan Jin,&nbsp;Jie Zhang,&nbsp;Fangmeng Fu,&nbsp;Chuan Wang","doi":"10.3389/pore.2022.1610559","DOIUrl":"https://doi.org/10.3389/pore.2022.1610559","url":null,"abstract":"<p><p><b>Background:</b> Triple-negative breast cancer (TNBC) is characterized by a more aggressive biological behavior and unfavorable outcome. Circulating and histological expression of THBS2 has been demonstrated to be a novel diagnostic and prognostic biomarker in patients with various types of tumors. However, few studies have evaluated the predictive and prognostic value of THBS2 in TNBC specifically. <b>Methods:</b> In total, 185 triple-negative breast cancer patients (TNBC) with preoperative neoadjuvant chemotherapy were enrolled in this study. Serum THBS2 (sTHBS2) level was measured both prior to the start of NAC and at surgery by enzyme-linked immunosorbent assay (ELISA). Histological THBS2 (hTHBS2) expression in patients with residual tumors was evaluated by immunohistochemistry (IHC) staining method. Correlations between variables and treatment response were studied. Kaplan-Meier plots and Cox proportional hazard regression model were applied for survival analysis. Functional activities of THBS2 in TNBC cells were determined by CCK-8 assay, colony formation, wound healing, and transwell assay. <b>Results:</b> Of the 185 patients, 48 (25.9%) achieved pathological complete response (pCR) after completion of NAC. Elevated pCR rates were observed in patients with a lower level of sTHBS2 at surgery and higher level of sTHBS2 change (OR = 0.88, 95%CI: 0.79-0.98, <i>p</i> = 0.020 and OR = 1.12, 95%CI: 1.02-1.23, <i>p</i> = 0.015, respectively). In survival analysis, hTHBS2 expression in residual tumor was of independent prognostic value for both disease-free survival (HR = 2.21, 95%CI = 1.24-3.94, <i>p</i> = 0.007) and overall survival (HR = 2.07, 95%CI = 1.09-3.92, <i>p</i> = 0.026). For functional studies, THBS2 was indicated to inhibit proliferation, migration, and invasion abilities of TNBC cells <i>in vitro</i>. <b>Conclusion:</b> Our findings confirmed the value of serum THBS2 level to predict pCR for TNBC patients and the prognostic performance of histological THBS2 expression in non-pCR responders after NAC. THBS2 might serve as a promising functional biomarker for patients with triple-negative breast cancer.</p>","PeriodicalId":411887,"journal":{"name":"Pathology oncology research : POR","volume":" ","pages":"1610559"},"PeriodicalIF":2.8,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9673122/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40502465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinicopathologic Features and Treatment of CD10-Positive Mantle Cell Lymphoma: A Case Report and Review of Literature.","authors":"Christopher Hino,&nbsp;Bryan Pham,&nbsp;Austin L Gray,&nbsp;Jun Wang,&nbsp;Dan Ran Castillo,&nbsp;Mojtaba Akhtari,&nbsp;Yan Liu","doi":"10.3389/pore.2022.1610588","DOIUrl":"https://doi.org/10.3389/pore.2022.1610588","url":null,"abstract":"<p><p>Mantle cell lymphoma (MCL) is a rare and aggressive non-Hodgkin's B cell lymphoma characterized by the translocation t(11;14) (q13;32) and overexpression of <i>CCND1</i>. MCL is immunophenotypically identified as CD20⁺, CD5⁺, CyclinD1+, CD43⁺, CD10^-, BCL6^-, and CD23^-. It is often distinguished from B cell lymphomas of germinal center cell origin by the absence of CD10 expression. Here we report the unique clinicopathologic features of a patient with CD10⁺ MCL with gastrointestinal involvement and review current literature identifying this unique immunophenotype.</p>","PeriodicalId":411887,"journal":{"name":"Pathology oncology research : POR","volume":" ","pages":"1610588"},"PeriodicalIF":2.8,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454308/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33460651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interaction Between Vascular Endothelial Growth Factor Gene Polymorphism and Smoking on Gastric Cancer Risk in Chinese Han Population.","authors":"Longyue Wang,&nbsp;Shuaishuai Xiao,&nbsp;Yiming Zheng,&nbsp;Zefeng Gao","doi":"10.3389/pore.2022.1610495","DOIUrl":"https://doi.org/10.3389/pore.2022.1610495","url":null,"abstract":"<p><p><b>Aim:</b> In this study, we aimed to evaluate the associations of vascular endothelial growth factor (<i>VEGF</i>) gene single nucleotide polymorphisms (SNPs) and its interaction with current smoking with gastric cancer (GC) risk in the Chinese Han population. <b>Methods:</b> We used logistic regression model to test the association between <i>VEGF</i> gene polymorphism and the risk of GC. The association strength was evaluated by odds ratio (OR) and 95% confidence interval (CI) calculated using logistic regression. Generalized multifactor dimensionality reduction (GMDR) was used to analyze the effect of the interaction between <i>VEGF</i> gene and current smoking on GC risk. <b>Results:</b> Logistic regression analysis showed that the risk of GC was significantly higher in rs10434 -G allele carriers than that in AA genotype carriers (AG + GG and AA), and the adjusted OR (95% CI) = 1.64 (1.24-2.08). In addition, we found a significantly higher GC risk in subjects with rs833061-T allele than those with CC allele (CT + TT and CC), adjusted or (95% CI) = 1.43 (1.10-1.87). We also found a statistically significant two- locus model (<i>p</i> = 0.018), including rs10434 and current smoking, indicating a significant interaction between rs10434 and current smoking on the risk of GC. Hierarchical analysis found that current smokers with AG or GG genotype have the highest GC risk, compared to never- smokers with AA genotype, OR (95% CI) = 2.43 (1.64-3.28). <b>Conclusion:</b> We found that rs10434 -G and rs833061-T alleles, gene- environment interaction between rs10434, and current smoking were all related to increased GC risk.</p>","PeriodicalId":411887,"journal":{"name":"Pathology oncology research : POR","volume":" ","pages":"1610495"},"PeriodicalIF":2.8,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454397/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33460652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification and Characterization of Genes Related to the Prognosis of Hepatocellular Carcinoma Based on Single-Cell Sequencing.","authors":"Wenbiao Chen,&nbsp;Feng Zhang,&nbsp;Huixuan Xu,&nbsp;Xianliang Hou,&nbsp;Donge Tang,&nbsp;Yong Dai","doi":"10.3389/pore.2022.1610199","DOIUrl":"https://doi.org/10.3389/pore.2022.1610199","url":null,"abstract":"<p><p>The heterogeneity of hepatocellular carcinoma (HCC) highlights the importance of precision therapy. In recent years, single-cell RNA sequencing has been used to reveal the expression of genes at the single-cell level and comprehensively study cell heterogeneity. This study combined big data analytics and single-cell data mining to study the influence of genes on HCC prognosis. The cells and genes closely related to the HCC were screened through single-cell RNA sequencing (71,915 cells, including 34,414 tumor cells) and big data analysis. Comprehensive bioinformatics analysis of the key genes of HCC was conducted for molecular classification and multi-dimensional correlation analyses, and a prognostic model for HCC was established. Finally, the correlation between the prognostic model and clinicopathological features was analyzed. 16,880 specific cells, screened from the single-cell expression profile matrix, were divided into 20 sub-clusters. Cell typing revealed that 97% of these cells corresponded to HCC cell lines, demonstrating the high specificity of cells derived from single-cell sequencing. 2,038 genes with high variability were obtained. The 371 HCC samples were divided into two molecular clusters. Cluster 1 (C1) was associated with tumorigenesis, high immune score, immunotherapy targets (PD-L1 and CYLA-4), high pathological stage, and poor prognosis. Cluster 2 (C2) was related to metabolic and immune function, low immune score, low pathological stage, and good prognosis. Seven differentially expressed genes (CYP3A4, NR1I2, CYP2C9, TTR, APOC3, CYP1A2, and AFP) identified between the two molecular clusters were used to construct a prognostic model. We further validated the correlation between the seven key genes and clinical features, and the established prognostic model could effectively predict HCC prognosis. Our study identified seven key genes related to HCC that were used to construct a prognostic model through single-cell sequencing and big data analytics. This study provides new insights for further research on clinical targets of HCC and new biomarkers for clinical application.</p>","PeriodicalId":411887,"journal":{"name":"Pathology oncology research : POR","volume":" ","pages":"1610199"},"PeriodicalIF":2.8,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454301/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33460649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Comprehensive Bioinformatic Analysis for Identification of Myeloid-Associated Differentiation Marker as a Potential Negative Prognostic Biomarker in Non-Small-Cell Lung Cancer.","authors":"Min Zhou,&nbsp;Yan Chen,&nbsp;Xuyu Gu,&nbsp;Cailian Wang","doi":"10.3389/pore.2022.1610504","DOIUrl":"https://doi.org/10.3389/pore.2022.1610504","url":null,"abstract":"<p><p><b>Objectives:</b> This study aimed to identify a molecular marker associated with the prognosis of non-small-cell lung cancer (NSCLC). <b>Materials and Methods:</b> The RNA sequencing data and clinical information of NSCLC patients were obtained from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). The weighted gene co-expression network analysis (WGCNA) was used to identify the co-expression gene modules and differentially expressed genes (DEGs) by comparing gene expression between NSCLC tumor tissues and normal tissues. Subsequently, the functional enrichment analysis of the DEGs was performed. Kaplan-Meier survival analysis and the GEPIA2 online tool were performed to investigate the relationship between the expression of these genes of interest and the survival of NSCLC patients, and to validate one most survival-relevent hub gene, as well as validated the hub gene using independent datasets from the GEO database. Further analysis was carried out to characterize the relationship between the hub gene and tumor immune cell infiltration, tumor mutation burden (TMB), microsatellite instability (MSI), and other known biomarkers of lung cancer. The related genes were screened by analyzing the protein-protein interaction (PPI) network and the survival model was constructed. GEPIA2 was applied in the potential analysis of pan-cancer biomarker of hub gene. <b>Results:</b> 57 hub genes were found to be involved in intercellular connectivity from the 779 identified differentially co-expressed genes. Myeloid-associated differentiation marker (<i>MYADM</i>) was strongly associated with overall survival (OS) and disease-free survival (DFS) of NSCLC patients, and high <i>MYADM</i> expression was associated with poor prognosis. Thus, <i>MYADM</i> was identified as a risk factor. Additionally, <i>MYADM</i> was validated as a survival risk factor in NSCLC patients in two independent datasets. Further analysis showed that <i>MYADM</i> was nagetively associated with TMB, and was positively correlated with macrophages, neutrophils, and dendritic cells, suggesting its role in regulating tumor immunity. The <i>MYADM</i> expression differed across many types of cancer and had the potential to serve as a pan-cancer marker. <b>Conclusion:</b> <i>MYADM</i> is an independent prognostic factor for NSCLC patients, which can predict the progression of cancer and play a role in the tumor immune cell infiltration in NSCLC.</p>","PeriodicalId":411887,"journal":{"name":"Pathology oncology research : POR","volume":" ","pages":"1610504"},"PeriodicalIF":2.8,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437211/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40350631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expression of SASP, DNA Damage Response, and Cell Proliferation Factors in Early Gastric Neoplastic Lesions: Correlations and Clinical Significance.","authors":"Li Liang,&nbsp;Yijie Chai,&nbsp;Fei Chai,&nbsp;Haijing Liu,&nbsp;Ningning Ma,&nbsp;Hong Zhang,&nbsp;Shuang Zhang,&nbsp;Lin Nong,&nbsp;Ting Li,&nbsp;Bo Zhang","doi":"10.3389/pore.2022.1610401","DOIUrl":"https://doi.org/10.3389/pore.2022.1610401","url":null,"abstract":"<p><p>The cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING)-mediated senescence-associated secretory phenotype (SASP) pathway has recently been identified in the suppression and promotion of cancers. However, its practical role in carcinogenesis remains to be comprehensively elucidated. Here, we describe an investigation analysing SASP activity and its correlations with DNA damage response (DDR), genomic mutations, and cell proliferation in gastric carcinogenesis among 30 cases with available endoscopic submucosal dissection (ESD) specimens of early neoplastic lesions (including low-grade dysplasia [LGD], high-grade dysplasia [HGD], and intramucosal carcinoma). The positive cells of senescence-associated β-galactosidase staining and cGAS, STING, interferon-regulatory factor 3 (IRF3), and signal transducer and activator of transcription 6 (STAT6) expression levels using immunostaining were elevated in HGD and in cancers. Similarly, increased expression of the Fanconi anemia group D2 (FANCD2) protein, tumour suppressor p53 binding protein 1 (TP53BP1), and replication protein A (RPA2) (i.e., primary DDR factors) was detected in HGD and in cancers; these increased expression levels were closely correlated with high expression of Ki67 and minichromosome maintenance complex component 7 (MCM7) proteins. Moreover, genomic mutations in <i>TP53</i> gene were detected in 56.67% of the evaluated cases (17/30) using next-generation sequencing, and positive staining was verified in HGD and in cancers. Statistical analysis revealed that cell proliferation closely correlated with the expression of DDR factors, of which TP53BP1 was positively associated with SASP factors and IRF3 was positively correlated with cell proliferation. In addition, an analysis evaluating clinical features demonstrated that STAT6-positive cases showed a longer progression-free survival time than STAT6-negative cases. Our evaluation, conducted using a limited number of specimens, suggests SASP may be prevalent in early gastric neoplastic lesions and could be activated by accelerated cell proliferation-induced DDR. The clinical significance of SASP still needs to be determined.</p>","PeriodicalId":411887,"journal":{"name":"Pathology oncology research : POR","volume":" ","pages":"1610401"},"PeriodicalIF":2.8,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437220/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40350632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mid-Infrared Imaging Characterization to Differentiate Lung Cancer Subtypes.","authors":"E Kontsek,&nbsp;A Pesti,&nbsp;J Slezsák,&nbsp;P Gordon,&nbsp;T Tornóczki,&nbsp;G Smuk,&nbsp;S Gergely,&nbsp;A Kiss","doi":"10.3389/pore.2022.1610439","DOIUrl":"https://doi.org/10.3389/pore.2022.1610439","url":null,"abstract":"Introduction: Lung cancer is the most common malignancy worldwide. Squamous cell carcinoma (SQ) and adenocarcinoma (LUAD) are the two most frequent histological subtypes. Small cell carcinoma (SCLC) subtype has the worst prognosis. Differential diagnosis is essential for proper oncological treatment. Life science associated mid- and near-infrared based microscopic techniques have been developed exponentially, especially in the past decade. Vibrational spectroscopy is a potential non-destructive approach to investigate malignancies. Aims: Our goal was to differentiate lung cancer subtypes by their label-free mid-infrared spectra using supervised multivariate analyses. Material and Methods: Formalin-fixed paraffin-embedded (FFPE) samples were selected from the archives. Three subtypes were selected for each group: 10-10 cases SQ, LUAD and SCLC. 2 μm thick sections were cut and laid on aluminium coated glass slides. Transflection optical setup was applied on Perkin-Elmer infrared microscope. 250 × 600 μm areas were imaged and the so-called mid-infrared fingerprint region (1800-648cm−1) was further analysed with linear discriminant analysis (LDA) and support vector machine (SVM) methods. Results: Both “patient-based” and “pixel-based” approaches were examined. Patient-based analysis by using 3 LDA models and 2 SVM models resulted in different separations. The higher the cut-off value the lower is the accuracy. The linear C-support vector classification (C-SVC) SVM resulted in the best (100%) accuracy for the three subtypes using a 50% cut-off value. The pixel-based analysis gave, similarly, the linear C-SVC SVM model to be the most efficient in the statistical indicators (SQ sensitivity 81.65%, LUAD sensitivity 82.89% and SCLC sensitivity 88.89%). The spectra cut-off, the kernel function and the algorithm function influence the accuracy. Conclusion: Mid-Infrared imaging could be used to differentiate FFPE lung cancer subtypes. Supervised multivariate tools are promising to accurately separate lung tumor subtypes. The long-term perspective is to develop a spectroscopy-based diagnostic tool, revolutionizing medical differential diagnostics, especially cancer identification.","PeriodicalId":411887,"journal":{"name":"Pathology oncology research : POR","volume":" ","pages":"1610439"},"PeriodicalIF":2.8,"publicationDate":"2022-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428038/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40350630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of Co-Expression Modules and Genes Associated With Tumor Progression in Oral Squamous Cell Carcinoma.","authors":"Zhijie Fang,&nbsp;Feifei Wang,&nbsp;Mengya Zhang,&nbsp;Hua Huang,&nbsp;Zhiqiang Lin","doi":"10.3389/pore.2022.1610481","DOIUrl":"https://doi.org/10.3389/pore.2022.1610481","url":null,"abstract":"<p><p>Oral squamous cell carcinoma (OSCC) is a common head-and-neck cancer with a deficiency of early diagnosis and poor prognosis. To identify potential diagnostic and prognostic markers of OSCC, we firstly used weighted gene co-expression network analysis (WGCNA) to build a co-expression module from GSE42743. Next, we performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses on specified units from selected modules utilizing Database for Annotation, Visualization, and Integrated Discovery (DAVID). Additionally, we identified and validate hub genes of these specified modules from multiple datasets like GEPIA and TCGA. In total 16 co-expression modules were built by 17,238 genes of 74 tumor samples utilizing WGCNA. Through pathway and functional enrichment analysis, the turquoise module was most firmly relevant to the cell cycle, oocyte meiosis, and p53 signaling pathway. Hub genes VRK1, NUP37, HMMR, SPC25, and RUVBL1 were identified to be related to oral cancer at both molecular level and clinical levels. The expressions of these genes differed in tumor tissues and normal tissues. Meanwhile, patients with high hub gene expression had a poor prognosis clinically. To conclude, five hub genes were identified to be relevant to oral cancer from the molecular level and the clinical level. Therefore, the detection of these genes was of great significance. They can be regarded as diagnostic and prognostic biomarkers for oral cancer. Also, they could shed light on the improvement of patients' overall survival and prognosis, which needs further analysis in the future.</p>","PeriodicalId":411887,"journal":{"name":"Pathology oncology research : POR","volume":" ","pages":"1610481"},"PeriodicalIF":2.8,"publicationDate":"2022-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9426548/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40343379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}