Unveiling the impact of C15orf48 on non-small cell lung cancer through NF-kappa B signaling by Wei Wang, Lei Zhang, Ansheng Wang, Xiaohua Wang, Weidong Wu

“…Immunohistochemical staining was used to detect C15orf48 expression in tissue microarrays. Cellular assays, including CCK8, colony formation, wound healing, transwell migration, flow cytometry, and cell adhesion, were conducted to assess cell viability, proliferation, invasion, and apoptosis. …”
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Expression and prognostic value of EGF-like domain multiple 6 in uterine corpus endometrial carcinoma and its correlation with immune cell infiltration by Qiannan Li, Nuerbiya Muheteer, Gulibositan Ayoufu, Xieerwaniguli Abulimiti, Ayimuguli Aini, Bingjie Han, Reyila Fulati, Mieradilijiang Ainiwaer, Ainiwaerjiang Abudourousuli

“…Immunohistochemistry was performed using UCEC tissue microarrays to assess EGFL6 expression. The Kaplan-Meier method and Cox regression analyses were used to evaluate the prognostic significance of EGFL6. …”
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Integration of histopathological images and immunological analysis to predict M2 macrophage infiltration and prognosis in patients with serous ovarian cancer by Ling Zhao, Jiajia Tan, Qiuyuan Su, Yan Kuang, Yan Kuang

“…ObjectiveInvestigating the effect of M2 macrophage infiltration on overall survival and to use histopathological imaging features (HIF) to predict M2 macrophage infiltration in patients with serous ovarian cancer (SOC) is important for improving prognostic accuracy, identifying new therapeutic targets, and advancing personalized treatment approaches.MethodsWe downloaded data from 86 patients with SOC from The Cancer Genome Atlas (TCGA) and divided these patients into a training set and a validation set with a ratio of 8:2. In addition, tissue microarrays from 106 patients with SOC patients were included as an external validation set. …”
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KDM1A epigenetically enhances RAD51 expression to suppress the STING-associated anti-tumor immunity in esophageal squamous cell carcinoma by Qingyuan Yang, Shiyin Wei, Cen Qiu, Chenjie Han, Zunguo Du, Ning Wu

“…In this study, protein levels in ESCC tissues were evaluated by immunostaining of tissue microarrays. …”
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WD40 Protein NLE1 as a Novel Diagnostic Biomarker Promoting Hepatocellular Carcinoma Proliferation by Rutong Zhang, Dehua Liu, Xiaoxi Feng, Zhenye Yang, Kaiguang Zhang

“…We further evaluated NLE1 expression in patient tissue microarrays. Kaplan−Meier plots, Cox regression analyses, and receiver operating characteristic (ROC) curves were used to evaluate the prognostic relevance of NLE1. …”
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Expression of CSTF2 in oral squamous cell carcinoma and its relationship with immune infiltration and poor prognosis by Zumulaiti Aierken, Muertiza Muhetaer, Zhang Lei, Ainiwaerjiang Abudourousuli, Ainiwaerjiang Abudourousuli

“…Immunohistochemical staining of tissue microarrays was performed to analyze CSTF2 expression in the OSCC samples. …”
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Elevated KRAS protein level is associated with better survival in pancreatic cancer by S. M. Stålberg, L. Silwal-Pandit, J. Hamfjord, D. J. H. Nebdal, J. Lehtiö, O. C. Lingjærde, B. S. Skålhegg, E. H. Kure

“…Whole transcriptome and proteome profiles were obtained using mRNA microarrays (Agilent) and quantitative mass spectrometry-based proteomics (HiRIEF LC–MS/MS), respectively. …”
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Multi-platform integration of histopathological images and omics data predicts molecular features and prognosis of hepatocellular carcinoma by Linyan Chen, Yang Li, Zhiyuan Zhang, Tongshu Yang, Hao Zeng

“…Areas under receiver operating characteristic curves (AUCs) were assessed for 1-year, 3-year, and 5-year overall survival (OS).ResultsHistopathological image features were able to predict somatic mutations: TERT promoter (AUC = 0.926), TP53 (AUC = 0.893), CTNNB1 (AUC = 0.885), ALB (AUC = 0.879), molecular subtypes (AUCs from 0.905 to 0.932), and OS (5-year AUC = 0.819) in the testing set, which also had good performances for OS in the external validation sets of tissue microarrays from 263 patients (5-year AUCs from 0.682 to 0.761). …”
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Cellular expression, trafficking, and function of two isoforms of human ULBP5/RAET1G. by Robert A Eagle, Gillian Flack, Anthony Warford, Jesús Martínez-Borra, Insiya Jafferji, James A Traherne, Maki Ohashi, Louise H Boyle, Alexander D Barrow, Sophie Caillat-Zucman, Neil T Young, John Trowsdale

“…Using specific anti-RAET1G1 antiserum to stain tissue microarrays we show that RAET1G1 expression is highly restricted in normal tissues. …”
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DJ-1 as a potential biomarker for the early diagnosis in lung cancer patients by Binbin Han, Jiwen Wang, Jia Gao, Shana Feng, Yu Zhu, Xuexiang Li, Ting Xiao, Jun Qi, Wei Cui

“…Preoperative serum DJ-1 levels were measured in 300 lung cancer patients and compared with benign pulmonary disease (n = 44) and healthy volunteers (n = 64). Using tissue microarrays and immunohistochemical analyses, we compared the DJ-1 expression between the primary squamous cell carcinoma tumours and matched metastatic tissues from a lymph node. …”
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Impact of HIF-1α, LOX and ITGA5 Synergistic Interaction in the Tumor Microenvironment on Colorectal Cancer Prognosis by Hayriye Tatlı Doğan, Mehmet Doğan, Seda Kahraman, Doğukan Çanakçı, Mehmet Ali Nahit Şendur, Mustafa Tahtacı, Fazlı Erdoğan

“…<b>Methods</b>: HIF-1α, LOX and ITGA5 antibodies were applied immunohistochemically to tissue microarrays prepared from tumor samples. Expression status in the tumor microenvironment were evaluated using a combined scoring system based on staining intensity and the percentage of positively stained cells. …”
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ASF1B promotes gastric cancer progression by modulating H2AC20 and activating PI3K/AKT and ERK1/2 pathways by Mengyuan Zhao, Junchang Zhang, Yanjun He, Chongge You

“…With the continuous enrichment of treatment methods, GC has entered an era of comprehensive treatment oriented toward precision and standardization.MethodsThrough the application of bioinformatics and assessments of tissue microarrays, this study has selected the histone chaperone Anti-Silencing Function 1B (ASF1B) for detailed analysis, including clinical specimens. …”
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Constitutively nuclear FOXO3a localization predicts poor survival and promotes Akt phosphorylation in breast cancer. by Jie Chen, Ana R Gomes, Lara J Monteiro, San Yu Wong, Lai Han Wu, Ting-Ting Ng, Christina T Karadedou, Julie Millour, Ying-Chi Ip, Yuen Nei Cheung, Andrew Sunters, Kelvin Y K Chan, Eric W-F Lam, Ui-Soon Khoo

“…<h4>Methodology/principal findings</h4>Examination of FOXO3a and phosphorylated-Akt (P-Akt) expression in breast cancer tissue microarrays showed nuclear FOXO3a was associated with lymph node positivity (p = 0.052), poor prognosis (p = 0.014), and P-Akt expression in invasive ductal carcinoma. …”
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Survivin Expression in Placentas with Intrauterine Growth Restriction by Pavo Perković, Sanja Štifter-Vretenar, Marina Perković, Marko Štefančić, Ena Holjević, Andrea Dekanić, Tea Štimac

“…Tissue microarrays (TMAs) were constructed, and survivin expression was assessed using immunohistochemistry (IHC). …”
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High density of TCF1+ stem-like tumor-infiltrating lymphocytes is associated with favorable disease-specific survival in NSCLC by Dagny Førde, Thomas Kilvær, Thomas Kilvær, Mona Irene Pedersen, Egil S Blix, Ilona Urbarova, Erna-Elise Paulsen, Erna-Elise Paulsen, Mehrdad Rakaee, Mehrdad Rakaee, Mehrdad Rakaee, Lill-Tove Rasmussen Busund, Lill-Tove Rasmussen Busund, Tom Donnem, Tom Donnem, Sigve Andersen, Sigve Andersen

“…However, less is known about the survival benefits oftheir subpopulations.MethodsUsing machine learning models, we assessed the clinical association of the CD8+, PD1+, TCF1+ cel l subset by multiplex immunohistochemistry using tissue microarrays in 553 non-small cell lung cancer (NSCLC) patients and its correlation with other immune cell biomarkers.ResultsWe observed positive correlations between TCF1 and CD20 (r=0.37), CD3 (r=0.45)and CD4 (r=0.33). …”
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ATG5 and ATG7 Expression Levels Are Reduced in Cutaneous Melanoma and Regulated by NRF1 by Živa Frangež, Deborah Gérard, Zhaoyue He, Marios Gavriil, Yuniel Fernández-Marrero, Yuniel Fernández-Marrero, S. Morteza Seyed Jafari, Robert E. Hunger, Philippe Lucarelli, Shida Yousefi, Thomas Sauter, Lasse Sinkkonen, Hans-Uwe Simon, Hans-Uwe Simon, Hans-Uwe Simon, Hans-Uwe Simon

“…We investigated the expression of ATG proteins in benign nevi, primary and metastatic melanoma tissues using customized tissue microarrays (TMA). …”
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Spatial profiling of endoplasmic reticulum stress markers in tumor associated cells predicts patient outcomes in pancreatic cancer by Georgia Porter, Murray D. Norris, Minoti Apte, Angelica M. Merlot

“…Methods: Multiplex immunofluorescence was performed on tumor microarrays and images were analyzed using HALO AI software. …”
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Predicting estrogen receptor status from HE-stained breast cancer slides using artificial intelligence by Maren Høibø, Maren Høibø, Ute Spiske, André Pedersen, Borgny Ytterhus, Lars A. Akslen, Lars A. Akslen, Elisabeth Wik, Elisabeth Wik, Cecilie Askeland, Cecilie Askeland, Ingerid Reinertsen, Ingerid Reinertsen, Erik Smistad, Erik Smistad, Marit Valla, Marit Valla

“…The aim of this study was to develop a model for prediction of ER status from HE-stained tissue microarrays (TMAs). Our methodology can be used as proof-of-concept for the prediction of more complex and costly molecular analyses in cancer.MethodsIn this study, TMAs from more than 2,000 Norwegian breast cancer patients were used to train and predict ER status using the clustering-constrained attention multiple-instance learning (CLAM) framework. …”
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Immune dysfunction revealed by digital spatial profiling of immuno-oncology markers in progressive stages of renal cell carcinoma and in brain metastases by Wei Wei, Michael Hurwitz, Sabina Signoretti, Lucia Jilaveanu, Toni K Choueiri, David L Rimm, Adebowale Adeniran, Sandra Martínez, Harriet M Kluger, David A Schoenfeld, Myrto Moutafi, Dijana Djureinovic, Ross D Merkin, David A Braun, Fabio Parisi

“…The TME of RCC brain metastases, a major cause of morbidity, also remains largely uncharacterized.Methods We performed digital spatial profiling on the NanoString GeoMx platform using 52 validated immuno-oncology markers on RCC tissue microarrays representing progressive stages of RCC, including brain metastases. …”
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Schlafen 11 Expression in Patients With Small Cell Lung Cancer and Its Association With Clinical Outcomes by Ken Masuda, Tatsuya Yoshida, Noriko Motoi, Yuki Shinno, Yuji Matsumoto, Yusuke Okuma, Yasushi Goto, Hidehito Horinouchi, Noboru Yamamoto, Shun‐ichi Watanabe, Tomoaki Hoshino, Yasushi Yatabe, Yuichiro Ohe

“…SLFN‐11 expression was assessed using immunohistochemistry in tissue microarrays and scored using a histology (H)‐score (range: 0–300). …”
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