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  1. 341

    Digital spatial proteomic profiling reveals immune checkpoints as biomarkers in lymphoid aggregates and tumor microenvironment of desmoplastic melanoma by Ruth Halaban, Kelly Olino, James Clune, David L Rimm, Harriet M Kluger, Dijana Djureinovic, Wael Ibrahim, Raymond Baumann, Anjela Galan, David G Su, David A. Schoenfeld, Raysa Cabrejo, Sajid A Khan

    Published 2024-03-01
    “…Occult sentinel lymph node positivity is significantly lower in both pure and mixed DM than in conventional melanoma, underscoring the need for better prognostic biomarkers to inform therapeutic strategies.Methods We assembled a tissue microarray comprising various cores of tumor, stroma, and lymphoid aggregates from 45 patients with histologically confirmed DM diagnosed between 1989 and 2018. …”
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  2. 342

    The pseudogene-derived long noncoding RNA SFTA1P is down-regulated and suppresses cell migration and invasion in lung adenocarcinoma by Hua Zhang, Yaqiong Xiong, Rui Xia, Chenchen Wei, Xuefei Shi, Fengqi Nie

    Published 2017-02-01
    “…We found that SFTA1P expression was significantly decreased in non–small cell lung cancer tissues compared with normal tissues in non–small cell lung cancer microarray data. …”
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    Article
  3. 343

    Evaluating IL22RA1 expression as a predictive indicator in human colon cancer progression by Xuan Yin, Renhao Geng, Junjun Chen, Bin Xu, Hui Ma, Yingting Liu, Xiao Zheng, Lujun Chen

    Published 2025-08-01
    “…Methods In this study, we utilized a multi-color immunohistochemistry (mIHC) assay to examine the expression patterns of IL22RA1, IL22, CD155, and IL22BP in a tissue microarray (TMA) comprising 90 colon cancer samples. …”
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  4. 344

    RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis by S. M. Nuruzzaman Nobel, S M Masfequier Rahman Swapno, Md. Ashraful Hossain, Mejdl Safran, Sultan Alfarhood, Md. Mohsin Kabir, M. F. Mridha

    Published 2024-01-01
    “…The dataset includes a wide range of images, such as tissue microarray (TMA) images at 40× magnification and whole-slide images (WSI) at 20× magnification. …”
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  5. 345

    Distinct prognostic values of YAP1 in gastric cancer by Lan Yu, Chun Gao, Bei Feng, Liming Wang, Xun Tian, Hui Wang, Ding Ma

    Published 2017-04-01
    “…In this study, we compared the expression of YAP1 in gastric cancer and normal stomach tissues. Tissue microarray analysis was performed in 156 gastric cancer samples, 8 adjacent normal stomach tissues, and 4 normal stomach tissues. …”
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  6. 346

    Multiple-omics analysis of aggrephagy-related cellular patterns and development of an aggrephagy-related signature for hepatocellular carcinoma by Jiafen Xie, Xiaoming Wang

    Published 2025-04-01
    “…Finally, protein levels of key AGGRG was assessed via tissue microarray. Results Eight AGGRGs (PFKP, TPX2, UBE2S, GOT2, ST6GALNAC4, ADAM15, G6PD, and KPNA2) were identified as prognostic markers for HCC. …”
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  7. 347

    Effect of CDX2 on proliferation, invasion, migration, and apoptosis of duodenal cancer cells by Jun Pan, Yi Zhao, Yu Zhang, Yuhe Zhou, Fengxuan Zhang, Yitian Chen, Xiaoyuan Chu

    Published 2025-04-01
    “…Paraffin-embedded samples from 40 duodenal carcinoma cases were analyzed using immunohistochemistry on a tissue microarray to assess CDX2 expression and its prognostic significance. …”
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  8. 348

    Expression of lactate dehydrogenase C correlates with poor prognosis in renal cell carcinoma by Yibo Hua, Chao Liang, Jundong Zhu, Chenkui Miao, Yajie Yu, Aimin Xu, Jianzhong Zhang, Pu Li, Shuang Li, Meiling Bao, Jie Yang, Chao Qin, Zengjun Wang

    Published 2017-03-01
    “…First, a total of 133 cases of renal cell carcinoma samples were analysed in a tissue microarray, and Kaplan–Meier survival curve analyses were performed to investigate the correlation between lactate dehydrogenase C expression and renal cell carcinoma progression. …”
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    Article
  9. 349

    Developing the new diagnostic model by integrating bioinformatics and machine learning for osteoarthritis by Jian Du, Tian Zhou, Wei Zhang, Wei Peng

    Published 2024-12-01
    “…Methods From the Gene Expression Omnibus (GEO) database, we first obtained OA synovial tissue microarray datasets. Differentially expressed genes (DEGs) associated with OA were identified through utilization of the Limma package and weighted gene co-expression network analysis (WGCNA). …”
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  10. 350

    Myogenic IGFBP5 levels in rhabdomyosarcoma are nourished by mesenchymal stromal cells and regulate growth arrest and apoptosis by Yue Zhang, Karim Katkhada, Liu Zhen Meng, Binbin Zhao, Shanlin Tong, Wiem Chaabane, Aditi Kallai, Nicholas P. Tobin, Arne Östman, Alessandro Mega, Monika Ehnman

    Published 2025-04-01
    “…Abstract Background Mesenchymal stromal cells belong to a diverse collection of cells in different states that are poorly characterized in soft-tissue sarcomas. In this study, we explored tumor growth-regulatory signaling between differentially educated non-malignant mesenchymal stromal cells and malignant cells in pediatric rhabdomyosarcoma (RMS). …”
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  11. 351

    Identification of GBP6 as a potential prognostic biomarker in esophageal carcinoma by integrated bioinformatics analysis and experiment validation by Shilin Fang, Yang Ding, Yifan Jia, Liping Gao, Yumei Ning, Guifang Wu, Jun Fang, Yongxi Zhang, Haizhou Wang, Hengning Ke

    Published 2025-12-01
    “…Immunohistochemistry was used to validate the results in an ESCA tissue microarray. The proliferative activity of ESCA cells was evaluated using cell counting kit 8 assay. …”
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  12. 352

    Bioinformatics Identification and Validation of Ferroptosis-Related Key Genes and Therapeutic Compounds in Septic Lung Injury by Li Z, Gan H, Li S, Xue Y, Luo K, Huang K, Zhang Y, Wang Y, Jiang L, Zhang H

    Published 2024-11-01
    “…This study aimed to elucidate and validate key ferroptosis-related genes involved in the pathogenesis of SLI through bioinformatics analysis and experimental validation.Methods: Microarray data related to SLI from the GSE130936 dataset were downloaded from the Gene Expression Omnibus (GEO) database. …”
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  13. 353

    Bioinformatic analyses reveal lysosomal-associated protein transmembrane 5 as a potential therapeutic target in lipotoxicity-induced injury in diabetic kidney disease by Xin Chen, Shenglong Zhu, Ciyou Huang, Jiayi Liu, Jinbang Wang, Siyuan Cui

    Published 2024-12-01
    “…Here, we analyzed the GSE 30529 microarray datasets of human tubulointerstitial tissue samples from the Gene Expression Omnibus database (GEO). …”
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  14. 354

    Prognostic effect of immunohistochemically determined molecular subtypes in gastric cancer by Jefim Brodkin, Tuomas Kaprio, Jaana Hagström, Alli Leppä, Arto Kokkola, Caj Haglund, Camilla Böckelman

    Published 2024-12-01
    “…We constructed a tumour tissue microarray immunostained for the following markers: microsatellite instability (MSI) markers MSH2, MSH6, MLH1, and PMS2; p53; E-cadherin; and EBERISH. …”
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  15. 355

    Epigenetic regulation of TNNT1 in gastrointestinal cancers prognostic implications and clinical significance by Jin Xie, Xin-Yang Qu, Rui-Min Wu, Jie Liu, Fan Cheng, Yu Zhang, Xu-Sheng Liu

    Published 2025-07-01
    “…TNNT1 protein levels were analyzed through immunohistochemistry (IHC) on tissue microarray (TMA) sections. Results Our findings demonstrate that TNNT1 is significantly overexpressed in tumor tissues compared to normal tissues, with elevated expression levels correlating with poor prognosis specifically in colon adenocarcinoma (COAD), liver hepatocellular carcinoma and pancreatic adenocarcinoma. …”
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  16. 356

    The preoperative neutrophil‐to‐lymphocyte ratio is not a marker of prostate cancer characteristics but is an independent predictor of biochemical recurrence in patients receiving r... by Zhi Cao, Jin Ji, Chao Zhang, Fubo Wang, Huan Xu, Yongwei Yu, Yinghao Sun

    Published 2019-03-01
    “…A total of 994 subjects were retrospectively enrolled, and the histological specimens of 210 patients were retrieved for constructing a tissue microarray. Immunohistochemistry was then performed to assess the expression of AR, ERG, PTEN, p‐AKT, Bcl‐2, Beclin‐1, Ki‐67, CD3, CD4, CD8, IFN‐γ and TNF‐α. …”
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  17. 357

    Oxidative Nanopatterning of Titanium Surface Influences mRNA and MicroRNA Expression in Human Alveolar Bone Osteoblastic Cells by Maidy Rehder Wimmers Ferreira, Roger Rodrigo Fernandes, Amanda Freire Assis, Janaína A. Dernowsek, Geraldo A. Passos, Fabio Variola, Karina Fittipaldi Bombonato-Prado

    Published 2016-01-01
    “…It is well known that micro- and nanoscale surface features of biomaterials affect cellular events that control implant-host tissue interactions. To improve our understanding of how multiscale surface features affect cell behavior, we used microarrays to evaluate the transcriptional profile of osteoblastic cells from human alveolar bone cultured on engineered titanium surfaces, exhibiting the following topographies: nanotexture (N), nano+submicrotexture (NS), and rough microtexture (MR), obtained by modulating experimental parameters (temperature and solution composition) of a simple yet efficient chemical treatment with a H2SO4/H2O2 solution. …”
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  18. 358

    Effects of Benzo[a]Pyrene Exposure on Lung Cancer: A Mechanistic Study of Epigenetic m6A Levels and YTHDF1 by Siyi Xu, Jie Li, Sheng Yang, Panpan Yang, Yiru Niu, Yiling Ge, Geyu Liang

    Published 2025-04-01
    “…TMT labeling-based proteomic analysis and clinical lung tissue microarray assays demonstrated that CDK6 and MAP3K6 were positively correlated with YTHDF1 expression. …”
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    Article
  19. 359

    Coexpression within Integrated Mitochondrial Pathways Reveals Different Networks in Normal and Chemically Treated Transcriptomes by Cong Chen, Tae Kyung Hyun, Xiao Han, Zhihui Feng, Yuan Li, Xiaolong Liu, Jiankang Liu

    Published 2014-01-01
    “…In this study, we construct coexpression networks based on microarray datasets from different tissues and chemical treatments to explore the role of integrated MRCs in the coexpression network and the effects of different chemicals on the mitochondrial network. …”
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  20. 360

    Effects of long-term pioglitazone treatment on peripheral and central markers of aging. by Eric M Blalock, Jeremiah T Phelps, Tristano Pancani, James L Searcy, Katie L Anderson, John C Gant, Jelena Popovic, Margarita G Avdiushko, Don A Cohen, Kuey-Chu Chen, Nada M Porter, Olivier Thibault

    Published 2010-04-01
    “…Finally, a combination of microarray analyses on hippocampal tissue and serum-based multiplex cytokine assays revealed that age-dependent inflammatory increases were not reversed by PIO.…”
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