Compounds > eosine yellowish-(ys)
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eosine yellowish-(ys) and Colorectal Cancer

eosine yellowish-(ys) has been researched along with Colorectal Cancer in 51 studies

Research

Studies (51)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's3 (5.88)18.2507
2000's10 (19.61)29.6817
2010's19 (37.25)24.3611
2020's19 (37.25)2.80

Authors

AuthorsStudies
Bankhead, P; Coleman, HG; Dunne, PD; Fisher, NC; Gelbard, MD; Loughrey, MB1
Boxberg, M; Engel, J; Foersch, S; Halfter, K; Jesinghaus, M; Konukiewitz, B; Lang, C; Pfarr, N; Pohl, J; Schlitter, AM; Schmitt, M; Silva, M; Steiger, K; Tschurtschenthaler, M; Weichert, W; Wilhelm, D1
Hong, Y; Kim, ER; Kim, SH; Sohn, I; Song, JH1
Bian, M; Liu, ZL; Pang, L1
Banerjee, I; Buchanan, DD; Burnett-Hartman, AN; Como, J; Conner, J; Cyr, DP; Gallinger, SJ; Grant, RC; Hartman, D; Jain, S; Jenkins, MA; Kirsch, R; Le Marchand, L; Lindor, NM; Newcomb, PA; Pai, RK; Patel, B; Phipps, AI; Rosty, C; Samadder, NJ; Schaeffer, DF; Shivji, S; Swallow, C; Westerling-Bui, T1
Bandoh, T; Fujishima, H; Futsukaichi, T; Ikebe, M; Nakano, K; Sakata, K; Sasaki, A; Terashi, T; Tsutsumi, S; Utsunomiya, T1
Baiamonte, M; Catalano, OA; Crafa, F; Pomykala, KL; Vanella, S1
Chen, HH; Liang, YQ; Nong, FF; Wen, B; Xiao, YF; Xing, SP1
Fan, X; Hu, Q; Li, Q; Li, Y; Li, Z; Liang, C; Liu, Z; Wang, Y; Wu, L; Wu, X; Xu, Y; Yang, J; Yao, S; Ye, H; Ye, Y; You, D; Zhang, X; Zhao, K; Zhao, M1
Bedognetti, D; Hendrickx, W; Kuppen, PJK; Medema, JP; Mesker, WE; Putter, H; Roelands, J; Roodhart, JML; Smit, MA; Tollenaar, RAEM; van de Weerd, S; van Krieken, JHJM1
Wei, Q; Yang, X1
Liang, C; Liu, Z; Wang, H; Wu, X; Yao, S; Ye, H; Ye, Y; Zhang, Q; Zhao, K; Zhu, Y1
Bokhorst, JM; Ciompi, F; Dawson, H; Kirsch, R; Lugli, A; Nagtegaal, ID; Oguz Erdogan, AS; Öztürk, SK; Sheahan, K; Simmer, F; van der Laak, J; Vieth, M; Zlobec, I1
Äyrämö, S; Kuopio, T; Lahtinen, S; Ojala, T; Pölönen, I; Prezja, F; Ruusuvuori, P1
Albregtsen, F; Askautrud, HA; Church, DN; Danielsen, HE; De Raedt, S; Domingo, E; Farstad, IN; Hveem, TS; Kerr, DJ; Kerr, R; Kleppe, A; Liestøl, K; Maddison, J; Nesbakken, A; Nesheim, JA; Novelli, M; Pradhan, M; Shepherd, NA; Skrede, OJ; Tomlinson, I1
Akimoto, N; Aminmozaffari, S; Arima, K; Baba, Y; Borowsky, J; Chan, AT; Da Silva, A; Dias Costa, A; Fuchs, CS; Fujiyoshi, K; Giannakis, M; Gu, S; Haruki, K; Kishikawa, J; Lau, MC; Meyerhardt, JA; Nishihara, R; Nowak, JA; Ogino, S; Shi, S; Song, M; Twombly, TS; Ugai, T; Väyrynen, JP; Väyrynen, SA; Wu, K; Zhao, M1
Berry, G; Higgins, J; Long, J; Longacre, T; Martin, B; Peng, L; Rubin, DL; Shen, J; Yamashita, R1
Conner, J; Deliallisi, A; Grin, A; Hafezi-Bakhtiari, S; Kak, I; Kirsch, R; Li-Chang, H; Muir, J; Newell, KJ; Reid, SL; Shivji, S1
Assarzadegan, N; Brar, A; Brar, MS; Conner, J; Cyr, DP; Driman, DK; Juda, A; Kennedy, ED; Kirsch, R; Messenger, DE; Sari, A; Shivji, S; Swallow, CJ1
Francombe, J; Iqbal, N; Papettas, T; Ramcharan, S; Sanders, DS; Wild, JB1
Bychkov, D; Haglund, C; Kovanen, PE; Linder, N; Lundin, J; Lundin, M; Nordling, S; Turkki, R; Verrill, C; Walliander, M1
Fukuoka, T; Hirakawa, K; Iseki, Y; Kashiwagi, S; Maeda, K; Matsutani, S; Nagahara, H; Ohira, M; Shibutani, M; Tanaka, H1
Dogra, A; Goswami, M; Mehta, A; Sinha, R1
Anders, RA; Besharati, S; Cottrell, TR; Waters, KM; Zhu, Q1
Brenner, H; Chang-Claude, J; Charoentong, P; Ferber, D; Gaiser, T; Halama, N; Herpel, E; Hoffmeister, M; Jäger, D; Jansen, L; Kather, JN; Krisam, J; Luedde, T; Marx, A; Reyes-Aldasoro, CC; Valous, NA; Weis, CA; Zörnig, I1
Hase, K; Kajiwara, Y; Mochizuki, S; Okamoto, K; Shimazaki, H; Shinto, E; Ueno, H; Yamadera, M1
Cogswell, J; Desai, K; Kerkar, SP; Lawson, B; Qi, Z; Stern, M; Vitazka, P; Wang, L1
de Faria, PR; do Nascimento, MZ; Neves, LA; Tosta, TAA1
Chang, EI; Fan, Y; Jiao, L; Lai, M; Wang, S; Wei, J; Xu, Y1
Isa, NM; Mohamad Esa, MS; Sagap, I; Shaari, N; Shah, SA; Wong, YP1
Ma, XL; Meng, QY; Qi, FF; Shi, XY; Su, J; Ye, JX1
Crncec, I; Eferl, R; Pathria, P; Svinka, J1
Ahn, SJ; Hwang, C; Kim, A; Kim, YG; Lee, S; Park, DY1
Ajioka, Y; Kameyama, H; Kobayashi, T; Kosugi, S; Nogami, H; Okamura, T; Shimada, Y; Wakai, T1
Rotimi, O1
Hood, K; Jordan, TW; Kirana, C; Rawson, P; Royds, J; Shi, HJ; Stubbs, R; Ward, T1
Liu, XY; Qian, QJ; Wang, YG; Yang, M; Yu, DB; Zheng, S; Zhong, SY1
Bogner, B; Hegedûs, G1
Asch, MR; Darling, GE; Hwang, DM; Jaskolka, JD; Johnston, MR; Kachura, JR; Tsao, MS; Waddell, TK1
Enache, SD; Ghiţă, C; Meşină, C; Mirea, CS; Mogoantă, S; Tenovici, M; Vasile, I; Vîlcea, ID1
Hillery, S; Platell, C; Stewart, CJ1
Brahmandam, M; Fuchs, CS; Imamura, Y; Kuchiba, A; Liao, X; Lindeman, NI; Longtine, JA; Morikawa, T; Ogino, S; Qian, ZR; Shima, K; Tanaka, N; Yamauchi, M1
Cui, HH; Dan, HL; Ding, YQ; Geng, J; Guo, CH; Jian, YT; Lai, ZS; Wang, YD; Yang, YJ; Zhang, Y; Zhang, YL; Zhou, DY1
Matsukuma, S; Ohara, I; Sakai, Y; Takeo, H1
Chayama, K; Hiyama, T; Ito, M; Kaneko, I; Kawamura, T; Oka, S; Shimamoto, F; Tanaka, S; Yoshihara, M1
Bateman, AC; Goulding, H; Kingston, EF1
Badellino, F; Bertoglio, S; Bruzzi, P; Dicasa, D; Gambini, C; Meszaros, P; Percivale, P; Sciallero, S1
Hawkins, NJ; Lees, J; Ward, RL1
Bilchik, AJ; Foshag, LJ; Hutchinson, W; Morton, DL; Rangel, D; Saha, S; Tsioulias, GJ; Wood, TF1
Bilchik, AJ; Morton, DL; Rangel, D; Shen, P; Spirt, M; Tsioulias, GJ; Wood, TF1
Inoue, T; Kuwano, H; Mori, M; Shimono, R; Sugimachi, K1

Reviews

2 review(s) available for eosine yellowish-(ys) and Colorectal Cancer

ArticleYear
Role of one-step nucleic acid amplification in colorectal cancer lymph node metastases detection.
    World journal of gastroenterology, 2022, Aug-14, Volume: 28, Issue:30

    Topics: Colorectal Neoplasms; DNA-Directed RNA Polymerases; Eosine Yellowish-(YS); Hematoxylin; Humans; Keratin-19; Lymph Nodes; Lymphatic Metastasis; Neoplasm Staging; RNA, Messenger; Sentinel Lymph Node Biopsy

2022
Is it time for one-step nucleic acid amplification (OSNA) in colorectal cancer? A systematic review and meta-analysis.
    Techniques in coloproctology, 2017, Volume: 21, Issue:9

    Topics: Adult; Aged; Case-Control Studies; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Lymph Nodes; Lymphatic Metastasis; Male; Middle Aged; Neoplasm Staging; Nucleic Acid Amplification Techniques; Odds Ratio; Prognosis; ROC Curve; Sensitivity and Specificity

2017

Trials

1 trial(s) available for eosine yellowish-(ys) and Colorectal Cancer

ArticleYear
Deep learning for prediction of colorectal cancer outcome: a discovery and validation study.
    Lancet (London, England), 2020, 02-01, Volume: 395, Issue:10221

    Topics: Aged; Biomarkers, Tumor; Cohort Studies; Colorectal Neoplasms; Deep Learning; Early Detection of Cancer; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Kaplan-Meier Estimate; Male; Middle Aged; Prognosis; Prospective Studies

2020

Other Studies

48 other study(ies) available for eosine yellowish-(ys) and Colorectal Cancer

ArticleYear
Development of a semi-automated method for tumour budding assessment in colorectal cancer and comparison with manual methods.
    Histopathology, 2022, Volume: 80, Issue:3

    Topics: Aged; Biomarkers, Tumor; Cohort Studies; Colonic Neoplasms; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Immunohistochemistry; Keratins; Machine Learning; Male; Prognosis; Staining and Labeling

2022
Loss of CDX2 in colorectal cancer is associated with histopathologic subtypes and microsatellite instability but is prognostically inferior to hematoxylin-eosin-based morphologic parameters from the WHO classification.
    British journal of cancer, 2021, Volume: 125, Issue:12

    Topics: CDX2 Transcription Factor; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Male; Microsatellite Instability; Prognosis; World Health Organization

2021
Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorecta
    Journal of gastroenterology, 2022, Volume: 57, Issue:9

    Topics: Artificial Intelligence; Colorectal Neoplasms; Deep Learning; Eosine Yellowish-(YS); Hematoxylin; Humans; Lymph Nodes; Lymphatic Metastasis; Retrospective Studies; Risk Factors

2022
LncRNA CRNDE Deteriorates Delayed Encephalopathy After Acute Carbon Monoxide Poisoning to Inactivate AKT/GSK3β/β-catenin Pathway via miR-212-5p.
    Neurotoxicity research, 2022, Volume: 40, Issue:5

    Topics: Animals; Apoptosis; beta Catenin; Brain Diseases; Carbon Monoxide Poisoning; Colorectal Neoplasms; Cytokines; Eosine Yellowish-(YS); Glucose; Glycogen Synthase Kinase 3 beta; Hematoxylin; MicroRNAs; Oxygen; Proto-Oncogene Proteins c-akt; Rats; Rats, Sprague-Dawley; RNA, Long Noncoding

2022
Quantitative Pathologic Analysis of Digitized Images of Colorectal Carcinoma Improves Prediction of Recurrence-Free Survival.
    Gastroenterology, 2022, Volume: 163, Issue:6

    Topics: Colorectal Neoplasms; DNA Mismatch Repair; Eosine Yellowish-(YS); Hematoxylin; Humans; Male; Testicular Neoplasms

2022
Prognostic significance of intrahepatic lymphatic invasion in colorectal liver metastases.
    Annals of diagnostic pathology, 2022, Volume: 60

    Topics: Biomarkers, Tumor; Carcinoembryonic Antigen; Colorectal Neoplasms; Eosine Yellowish-(YS); Hematoxylin; Humans; Liver Neoplasms; Prognosis; Survival Rate

2022
Alcohol promotes epithelial mesenchymal transformation-mediated premetastatic niche formation of colorectal cancer by activating interaction between laminin-γ2 and integrin-β1.
    World journal of gastroenterology, 2022, Sep-21, Volume: 28, Issue:35

    Topics: Animals; Cadherins; Cell Line, Tumor; Cell Movement; Colorectal Neoplasms; Eosine Yellowish-(YS); Epithelial-Mesenchymal Transition; Fibronectins; Focal Adhesion Protein-Tyrosine Kinases; Hematoxylin; Integrin beta1; Interleukin-1beta; Interleukin-6; Laminin; Matrix Attachment Region Binding Proteins; Methylene Blue; Tumor Necrosis Factor-alpha

2022
Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer.
    Journal of translational medicine, 2022, 10-04, Volume: 20, Issue:1

    Topics: Artificial Intelligence; Colorectal Neoplasms; Eosine Yellowish-(YS); Hematoxylin; Humans; Prognosis; Retrospective Studies

2022
Correlation of Immunological and Histopathological Features with Gene Expression-Based Classifiers in Colon Cancer Patients.
    International journal of molecular sciences, 2022, Oct-21, Volume: 23, Issue:20

    Topics: Biomarkers, Tumor; Colonic Neoplasms; Colorectal Neoplasms; Eosine Yellowish-(YS); Gene Expression; Hematoxylin; Humans; Retrospective Studies; RNA

2022
Identification of a novel Immune-Related prognostic model for patients with colorectal cancer based on 3 subtypes.
    Immunobiology, 2023, Volume: 228, Issue:2

    Topics: Algorithms; Cell Differentiation; Colorectal Neoplasms; Eosine Yellowish-(YS); Humans; Prognosis

2023
Artificial intelligence-assisted analysis for tumor-immune interaction within the invasive margin of colorectal cancer.
    Annals of medicine, 2023, Volume: 55, Issue:1

    Topics: Artificial Intelligence; Cell Proliferation; Clinical Decision-Making; Colorectal Neoplasms; Eosine Yellowish-(YS); Humans

2023
Fully Automated Tumor Bud Assessment in Hematoxylin and Eosin-Stained Whole Slide Images of Colorectal Cancer.
    Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2023, Volume: 36, Issue:9

    Topics: Artificial Intelligence; Colorectal Neoplasms; Diagnosis, Computer-Assisted; Eosine Yellowish-(YS); Hematoxylin; Humans

2023
Improved accuracy in colorectal cancer tissue decomposition through refinement of established deep learning solutions.
    Scientific reports, 2023, 09-23, Volume: 13, Issue:1

    Topics: Biopsy; Colorectal Neoplasms; Deep Learning; Eosine Yellowish-(YS); Genetic Testing; Humans

2023
Prognostic Significance of Immune Cell Populations Identified by Machine Learning in Colorectal Cancer Using Routine Hematoxylin and Eosin-Stained Sections.
    Clinical cancer research : an official journal of the American Association for Cancer Research, 2020, 08-15, Volume: 26, Issue:16

    Topics: Biomarkers, Tumor; Cell Lineage; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Kaplan-Meier Estimate; Lymphocytes, Tumor-Infiltrating; Machine Learning; Male; Prognosis; Staining and Labeling

2020
Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.
    The Lancet. Oncology, 2021, Volume: 22, Issue:1

    Topics: Colorectal Neoplasms; Coloring Agents; Deep Learning; Diagnosis, Computer-Assisted; Eosine Yellowish-(YS); Genetic Predisposition to Disease; Hematoxylin; Humans; Image Interpretation, Computer-Assisted; Microsatellite Instability; Microscopy; Phenotype; Predictive Value of Tests; Reproducibility of Results; Staining and Labeling

2021
Feasibility and Performance of Elastin Trichrome as a Primary Stain in Colorectal Cancer Resection Specimens: Results of an Interobserver Variability Study.
    The American journal of surgical pathology, 2021, 10-01, Volume: 45, Issue:10

    Topics: Azo Compounds; Biomarkers, Tumor; Colorectal Neoplasms; Coloring Agents; Elastin; Eosine Yellowish-(YS); Feasibility Studies; Humans; Methyl Green; Neoplasm Invasiveness; Observer Variation; Predictive Value of Tests; Reproducibility of Results; Staining and Labeling; Veins

2021
Routine Elastin Staining in Surgically Resected Colorectal Cancer: Impact on Venous Invasion Detection and its Association With Oncologic Outcomes.
    The American journal of surgical pathology, 2022, 02-01, Volume: 46, Issue:2

    Topics: Adult; Aged; Aged, 80 and over; Azo Compounds; Biomarkers, Tumor; Biopsy; Colectomy; Colorectal Neoplasms; Coloring Agents; Elastin; Eosine Yellowish-(YS); Female; Humans; Male; Methyl Green; Middle Aged; Neoplasm Invasiveness; Predictive Value of Tests; Risk Assessment; Risk Factors; Staining and Labeling; Treatment Outcome; Veins; Young Adult

2022
Deep learning based tissue analysis predicts outcome in colorectal cancer.
    Scientific reports, 2018, 02-21, Volume: 8, Issue:1

    Topics: Aged; Algorithms; Colorectal Neoplasms; Deep Learning; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Image Processing, Computer-Assisted; Machine Learning; Male; Middle Aged; Prognosis; Retrospective Studies

2018
A new method for evaluating tumor-infiltrating lymphocytes (TILs) in colorectal cancer using hematoxylin and eosin (H-E)-stained tumor sections.
    PloS one, 2018, Volume: 13, Issue:4

    Topics: Adult; Aged; Aged, 80 and over; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Fluorescent Dyes; Hematoxylin; Humans; Image Processing, Computer-Assisted; Lymphocytes, Tumor-Infiltrating; Male; Middle Aged; Retrospective Studies; Staining and Labeling

2018
Histopathological Significance and Prognostic Impact of Tumor Budding in Colorectal Cancer
    Asian Pacific journal of cancer prevention : APJCP, 2018, Sep-26, Volume: 19, Issue:9

    Topics: Adult; Aged; Aged, 80 and over; Biomarkers, Tumor; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Immunohistochemistry; Keratins; Lymphatic Metastasis; Male; Middle Aged; Prognosis; Staining and Labeling; Young Adult

2018
Evaluation of Peritumoral Fibrosis in Metastatic Colorectal Adenocarcinoma to the Liver Using Digital Image Analysis.
    American journal of clinical pathology, 2019, 01-07, Volume: 151, Issue:2

    Topics: Adenocarcinoma; Adult; Aged; Azo Compounds; Colorectal Neoplasms; Coloring Agents; Eosine Yellowish-(YS); Female; Fibrosis; Humans; Image Processing, Computer-Assisted; Immunohistochemistry; Liver; Liver Neoplasms; Male; Methyl Green; Middle Aged; Pathology, Surgical; Software

2019
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.
    PLoS medicine, 2019, Volume: 16, Issue:1

    Topics: Colon; Colorectal Neoplasms; Coloring Agents; Deep Learning; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Image Interpretation, Computer-Assisted; Male; Prognosis; Rectum; Retrospective Studies

2019
Differential clinical impacts of tumour budding evaluated by the use of immunohistochemical and haematoxylin and eosin staining in stage II colorectal cancer.
    Histopathology, 2019, Volume: 74, Issue:7

    Topics: Adult; Aged; Aged, 80 and over; Carcinoma; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Humans; Immunohistochemistry; Keratins; Male; Middle Aged; Neoplasm Staging; Prognosis; Reproducibility of Results; Retrospective Studies; ROC Curve; Staining and Labeling

2019
Reliable Gene Expression Profiling from Small and Hematoxylin and Eosin-Stained Clinical Formalin-Fixed, Paraffin-Embedded Specimens Using the HTG EdgeSeq Platform.
    The Journal of molecular diagnostics : JMD, 2019, Volume: 21, Issue:5

    Topics: Biomarkers, Tumor; Colorectal Neoplasms; Eosine Yellowish-(YS); Formaldehyde; Gene Expression Profiling; Gene Library; Hematoxylin; High-Throughput Nucleotide Sequencing; Humans; Lung Neoplasms; Paraffin Embedding; Small Cell Lung Carcinoma; Tissue Fixation

2019
Color normalization of faded H&E-stained histological images using spectral matching.
    Computers in biology and medicine, 2019, Volume: 111

    Topics: Algorithms; Colon; Color; Colorectal Neoplasms; Eosine Yellowish-(YS); Hematoxylin; Histocytochemistry; Humans; Image Processing, Computer-Assisted

2019
Multi-label classification for colon cancer using histopathological images.
    Microscopy research and technique, 2013, Volume: 76, Issue:12

    Topics: Adenocarcinoma; Colorectal Neoplasms; Eosine Yellowish-(YS); Hematoxylin; Humans; Models, Theoretical; Staining and Labeling

2013
Comparative analysis between multilevel sectioning with conventional haematoxylin and eosin staining and immunohistochemistry for detecting nodal micrometastases with stage I and II colorectal cancers.
    Asian Pacific journal of cancer prevention : APJCP, 2014, Volume: 15, Issue:4

    Topics: Adult; Aged; Aged, 80 and over; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Immunohistochemistry; Keratins; Lymph Nodes; Lymphatic Metastasis; Male; Middle Aged; Neoplasm Micrometastasis; Neoplasm Recurrence, Local; Neoplasm Staging; Staining and Labeling

2014
A modified GEWF solution is cost-saving and effective for lymph node retrieval in resected colorectal carcinoma specimens.
    Pathology, research and practice, 2014, Volume: 210, Issue:9

    Topics: Acetic Acid; Colorectal Neoplasms; Eosine Yellowish-(YS); Ethanol; Formaldehyde; Humans; Lymph Node Excision; Lymph Nodes; Lymphatic Metastasis; Solutions

2014
Induction of colorectal cancer in mice and histomorphometric evaluation of tumors.
    Methods in molecular biology (Clifton, N.J.), 2015, Volume: 1267

    Topics: Animals; Azoxymethane; Colorectal Neoplasms; Disease Models, Animal; Eosine Yellowish-(YS); Hematoxylin; Humans; Immunohistochemistry; Mice; Receptors, Platelet-Derived Growth Factor; S100 Calcium-Binding Protein A4; S100 Proteins; Software; Staining and Labeling; Sulfates; Tumor Burden

2015
Venous Invasion in Colorectal Cancer: Impact of Morphologic Findings on Detection Rate.
    Cancer research and treatment, 2016, Volume: 48, Issue:4

    Topics: Aged; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Male; Middle Aged; Neoplasm Invasiveness; Neoplasm Staging; Vascular Neoplasms; Veins

2016
Tumor Budding Detection by Immunohistochemical Staining is Not Superior to Hematoxylin and Eosin Staining for Predicting Lymph Node Metastasis in pT1 Colorectal Cancer.
    Diseases of the colon and rectum, 2016, Volume: 59, Issue:5

    Topics: Adenocarcinoma; Adult; Aged; Aged, 80 and over; Biomarkers; Biomarkers, Tumor; Colorectal Neoplasms; Coloring Agents; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Immunohistochemistry; Keratins; Logistic Models; Lymph Node Excision; Lymphatic Metastasis; Male; Middle Aged; Multivariate Analysis; Neoplasm Staging; Retrospective Studies; ROC Curve

2016
Vascular invasion is underrecognized in colorectal cancer using conventional hematoxylin and eosin staining.
    Diseases of the colon and rectum, 2008, Volume: 51, Issue:9

    Topics: Colorectal Neoplasms; Data Interpretation, Statistical; Endothelium, Vascular; Eosine Yellowish-(YS); Fluorescent Dyes; Hematoxylin; Humans; Neoplasm Invasiveness; Research Design; Staining and Labeling

2008
Compatibility of toluidine blue with laser microdissection and saturation labeling DIGE.
    Proteomics, 2009, Volume: 9, Issue:2

    Topics: Analysis of Variance; Colorectal Neoplasms; Electrophoresis, Gel, Two-Dimensional; Eosine Yellowish-(YS); Hematoxylin; Histocytochemistry; Humans; Lasers; Microdissection; Proteins; Proteomics; Reproducibility of Results; Staining and Labeling; Tolonium Chloride

2009
Potent antitumor activity of double-regulated oncolytic adenovirus-mediated ST13 for colorectal cancer.
    Cancer science, 2009, Volume: 100, Issue:4

    Topics: Adenoviridae; Animals; Apoptosis; Benzimidazoles; Cell Death; Cell Line, Tumor; Cell Survival; Colorectal Neoplasms; Coloring Agents; Cytopathogenic Effect, Viral; Eosine Yellowish-(YS); Female; Fluorescent Dyes; Gene Expression; Genetic Therapy; Genetic Vectors; Gentian Violet; HCT116 Cells; Hematoxylin; Humans; Immunohistochemistry; In Situ Nick-End Labeling; Mice; Mice, Nude; Oncolytic Virotherapy; Tetrazolium Salts; Thiazoles; Xenograft Model Antitumor Assays

2009
[The significance of elastic staining in detecting vascular invasion in colorectal carcinoma].
    Magyar onkologia, 2009, Volume: 53, Issue:2

    Topics: Adult; Aged; Colorectal Neoplasms; Coloring Agents; Contrast Media; Elastic Tissue; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Male; Middle Aged; Muscle, Smooth, Vascular; Neoplasm Invasiveness; Neoplasm Staging; Vascular Neoplasms

2009
Pathologic assessment of radiofrequency ablation of pulmonary metastases.
    Journal of vascular and interventional radiology : JVIR, 2010, Volume: 21, Issue:11

    Topics: Aged; Carcinoma; Catheter Ablation; Cell Survival; Colorectal Neoplasms; Coloring Agents; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Immunohistochemistry; Ki-67 Antigen; Lung Neoplasms; Male; Middle Aged; Necrosis; Ontario; Prospective Studies; Sarcoma; Time Factors; Tomography, X-Ray Computed; Treatment Outcome; Ubiquitin-Protein Ligases

2010
Sentinel lymph node study in colorectal cancer using serial sectioning and Hematoxylin-Eosin staining: importance and limitations.
    Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie, 2011, Volume: 52, Issue:1 Suppl

    Topics: Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Male; Middle Aged; Neoplasm Metastasis; Neoplasm Staging; Sentinel Lymph Node Biopsy; Staining and Labeling

2011
Caldesmon is useful in demonstrating extramural venous invasion in colorectal carcinomas showing mucinous differentiation.
    Pathology, 2012, Volume: 44, Issue:1

    Topics: Adenocarcinoma, Mucinous; Adipose Tissue; Biomarkers, Tumor; Calmodulin-Binding Proteins; Cell Transformation, Neoplastic; Colorectal Neoplasms; Elastin; Eosine Yellowish-(YS); Hematoxylin; Humans; Mucins; Neoplasm Invasiveness; Neoplasm Staging; Staining and Labeling; Veins

2012
No evidence for interference of h&e staining in DNA testing: usefulness of DNA extraction from H&E-stained archival tissue sections.
    American journal of clinical pathology, 2012, Volume: 138, Issue:1

    Topics: Colon; Colorectal Neoplasms; Coloring Agents; DNA, Neoplasm; Eosine Yellowish-(YS); Hematoxylin; Humans; Polymerase Chain Reaction; Rectum; Staining and Labeling

2012
A novel method for preparation of tissue microarray.
    World journal of gastroenterology, 2004, Feb-15, Volume: 10, Issue:4

    Topics: Colorectal Neoplasms; Coloring Agents; Eosine Yellowish-(YS); Genetic Testing; Hematoxylin; Humans; Microscopy; Oligonucleotide Array Sequence Analysis; Paraffin Embedding; Staining and Labeling

2004
Endoscopically resected colorectal leiomyomas often containing eosinophilic globules.
    Histopathology, 2004, Volume: 45, Issue:3

    Topics: Actins; Adult; Aged; Colonoscopy; Colorectal Neoplasms; Cytoplasmic Granules; Desmin; Diagnosis, Differential; Eosine Yellowish-(YS); Humans; Immunohistochemistry; Leiomyoma; Microscopy, Electron; Middle Aged; Muscle, Smooth

2004
Lymphatic vessel density at the site of deepest penetration as a predictor of lymph node metastasis in submucosal colorectal cancer.
    Diseases of the colon and rectum, 2007, Volume: 50, Issue:1

    Topics: Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Immunoenzyme Techniques; Logistic Models; Lymphatic Metastasis; Lymphatic Vessels; Male; Membrane Glycoproteins; Neoplasm Invasiveness; Neovascularization, Pathologic; Risk Factors; Statistics, Nonparametric

2007
Vascular invasion is underrecognized in colorectal cancer using conventional hematoxylin and eosin staining.
    Diseases of the colon and rectum, 2007, Volume: 50, Issue:11

    Topics: Antigens, CD34; Colorectal Neoplasms; Coloring Agents; Endothelium, Vascular; Eosine Yellowish-(YS); Fluorescent Dyes; Hematoxylin; Humans; Immunohistochemistry; Neoplasm Invasiveness; Platelet Endothelial Cell Adhesion Molecule-1; Prognosis; Sensitivity and Specificity; Staining and Labeling

2007
Cytokeratin immunostaining reveals micrometastasis in negative hematoxylin-eosin lymph nodes of resected stage I-II (pT2-pT3) colorectal cancer.
    Journal of chemotherapy (Florence, Italy), 1997, Volume: 9, Issue:2

    Topics: Antibodies, Monoclonal; Colorectal Neoplasms; DNA, Neoplasm; Eosine Yellowish-(YS); Flow Cytometry; Fluorescent Dyes; Follow-Up Studies; Hematoxylin; Humans; Immunohistochemistry; Keratins; Lymph Nodes; Lymphatic Metastasis; Neoplasm Staging; Ploidies; Prognosis; Retrospective Studies; Survival Rate

1997
Detection of apoptosis in colorectal carcinoma by light microscopy and in situ end labelling.
    Analytical and quantitative cytology and histology, 1997, Volume: 19, Issue:3

    Topics: Apoptosis; Colorectal Neoplasms; DNA Fragmentation; DNA Nucleotidylexotransferase; Eosine Yellowish-(YS); Hematoxylin; Humans; Microscopy; Observer Variation

1997
Validation of lymphatic mapping in colorectal cancer: in vivo, ex vivo, and laparoscopic techniques.
    Annals of surgical oncology, 2001, Volume: 8, Issue:2

    Topics: Adult; Aged; Aged, 80 and over; Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Hematoxylin; Humans; Laparoscopy; Lymph Node Excision; Lymph Nodes; Lymphatic Metastasis; Male; Middle Aged; Neoplasm Staging; Rectum; Sensitivity and Specificity; Sentinel Lymph Node Biopsy; Statistics, Nonparametric

2001
Lymphatic mapping improves staging during laparoscopic colectomy for cancer.
    Surgical endoscopy, 2001, Volume: 15, Issue:7

    Topics: Aged; Colectomy; Colorectal Neoplasms; Eosine Yellowish-(YS); Feasibility Studies; Female; Hematoxylin; Humans; Laparoscopy; Lymph Nodes; Lymphatic Metastasis; Male; Middle Aged; Sentinel Lymph Node Biopsy

2001
Vascular invasion of colorectal carcinoma readily visible with certain stains.
    Diseases of the colon and rectum, 1992, Volume: 35, Issue:1

    Topics: Colorectal Neoplasms; Eosine Yellowish-(YS); Female; Ferric Compounds; Hematoxylin; Humans; Immunohistochemistry; Iodides; Male; Neoplasm Invasiveness; Retrospective Studies; von Willebrand Factor

1992