Academic Content and Language Evaluation of This Article
CrossCheck and Google Search of This Article
Academic Rules and Norms of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (9177)
All Articles published online
|
Featured Article
|
Publishing Process of This Article
|
Dec 15, 2017 (publication date) through Apr 25, 2024
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Gastrointestinal Oncology
ISSN
1948-5204
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Scheer R, Baidoshvili A, Zoidze S, Elferink MAG, Berkel AEM, Klaase JM, van Diest PJ. Tumor-stroma ratio as prognostic factor for survival in rectal adenocarcinoma: A retrospective cohort study. World J Gastrointest Oncol 2017; 9(12): 466-474 [PMID: 29290917 DOI: 10.4251/wjgo.v9.i12.466] |
|---|---|
| URL: | https://www.wjgnet.com/1948-5204/full/v9/i12/466.htm |
| Number | Citing Articles |
| 1 |
Min Seob Kwak, Hun Hee Lee, Jae Min Yang, Jae Myung Cha, Jung Won Jeon, Jin Young Yoon, Ha Il Kim. Deep Convolutional Neural Network-Based Lymph Node Metastasis Prediction for Colon Cancer Using Histopathological Images. Frontiers in Oncology 2021; 10 doi: 10.3389/fonc.2020.619803
|
| 2 |
Zsófia Karancsi, Sophie C. Hagenaars, Kristóf Németh, Wilma E. Mesker, Anna Mária Tőkés, Janina Kulka. Tumour-stroma ratio (TSR) in breast cancer: comparison of scoring core biopsies versus resection specimens. Virchows Archiv 2023; doi: 10.1007/s00428-023-03555-0
|
| 3 |
Stéphanie M. Zunder, Raquel Perez-Lopez, Bente M. de Kok, Maria Vittoria Raciti, Gabi W. van Pelt, Rodrigo Dienstmann, Alonso Garcia-Ruiz, C. Arnoud Meijer, Hans Gelderblom, Rob. A. Tollenaar, Paolo Nuciforo, Martin N. Wasser, Wilma. E. Mesker. Correlation of the tumour-stroma ratio with diffusion weighted MRI in rectal cancer. European Journal of Radiology 2020; 133: 109345 doi: 10.1016/j.ejrad.2020.109345
|
| 4 |
Helen J S Jones, Chris Cunningham, Hanne A Askautrud, Håvard E Danielsen, David J Kerr, Enric Domingo, Tim Maughan, Simon J Leedham, Viktor H Koelzer. Stromal composition predicts recurrence of early rectal cancer after local excision. Histopathology 2021; 79(6): 947 doi: 10.1111/his.14438
|
| 5 |
Qian Xu, Jing-Ping Yuan, Yuan-Yuan Chen, Hong-Yan Zhang, Lin-Wei Wang, Bin Xiong. Prognostic Significance of the Tumor-Stromal Ratio in Invasive Breast Cancer and a Proposal of a New Ts-TNM Staging System. Journal of Oncology 2020; 2020: 1 doi: 10.1155/2020/9050631
|
| 6 |
Jillian Sprenger, Ciara Murray, Jigar Lad, Blake Jones, Georgia Thomas, Sharon Nofech-Mozes, Mohammadali Khorasani, Alex Vitkin, Emmanuel Beaurepaire, Adela Ben-Yakar, YongKeun Park. Improving objective measurements of the tumour-stroma ratio in breast cancer using polarized light microscopy
. Advances in Microscopic Imaging III 2021; : 28 doi: 10.1117/12.2615729
|
| 7 |
Oscar G. F. Geessink, Alexi Baidoshvili, Joost M. Klaase, Babak Ehteshami Bejnordi, Geert J. S. Litjens, Gabi W. van Pelt, Wilma E. Mesker, Iris D. Nagtegaal, Francesco Ciompi, Jeroen A. W. M. van der Laak. Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer. Cellular Oncology 2019; 42(3): 331 doi: 10.1007/s13402-019-00429-z
|
| 8 |
Jillian Sprenger, Ciara Murray, Jigar Lad, Blake Jones, Georgia Thomas, Sharon Nofech-Mozes, Mohammadali Khorasani, Alex Vitkin. Toward a quantitative method for estimating tumour-stroma ratio in breast cancer using polarized light microscopy. Biomedical Optics Express 2021; 12(6): 3241 doi: 10.1364/BOE.422452
|
| 9 |
da Souza, Eduardo Queiroga, Toledo de, Karin Cunha, Eliane Dias. Stromal scoring in advanced colon and rectal cancer: Stroma-rich tumors and their association with aggressive phenotypes. Archive of Oncology 2022; 28(1): 1 doi: 10.2298/AOO210403003S
|
| 10 |
Elisa D'Arcangelo, Nila C. Wu, Tianhao Chen, Andi Shahaj, Jose L. Cadavid, Linwen Huang, Laurie Ailles, Alison P. McGuigan. Gels for Live Analysis of Compartmentalized Environments (GLAnCE): A tissue model to probe tumour phenotypes at tumour-stroma interfaces. Biomaterials 2020; 228: 119572 doi: 10.1016/j.biomaterials.2019.119572
|
| 11 |
Daniel Firmbach, Michaela Benz, Petr Kuritcyn, Volker Bruns, Corinna Lang-Schwarz, Frederik A. Stuebs, Susanne Merkel, Leah-Sophie Leikauf, Anna-Lea Braunschweig, Angelika Oldenburger, Laura Gloßner, Niklas Abele, Christine Eck, Christian Matek, Arndt Hartmann, Carol I. Geppert. Tumor–Stroma Ratio in Colorectal Cancer—Comparison between Human Estimation and Automated Assessment. Cancers 2023; 15(10): 2675 doi: 10.3390/cancers15102675
|
| 12 |
Xue Bing, Ning Wang, Yuhan Li, Haitao Sun, Jian Yao, Ruobing Li, Zhongyuan Li, Aimei Ouyang. The Value of Dual-Energy Computed Tomography-Based Radiomics in the Evaluation of Interstitial Fibers of Clear Cell Renal Carcinoma. Technology in Cancer Research & Treatment 2024; 23 doi: 10.1177/15330338241235554
|
| 13 |
Jung-Soo Pyo, Nae Yu Kim, Kyueng-Whan Min, Dong-Wook Kang. Significance of Tumor–Stroma Ratio (TSR) in Predicting Outcomes of Malignant Tumors. Medicina 2023; 59(7): 1258 doi: 10.3390/medicina59071258
|
| 14 |
Kiki M.H. Vangangelt, Andrew R. Green, Isabelle M.F. Heemskerk, Danielle Cohen, Gabi W. van Pelt, Marcelo Sobral‐Leite, Marjanka K. Schmidt, Hein Putter, Emad A. Rakha, Rob A.E.M. Tollenaar, Wilma E. Mesker. The prognostic value of the tumor–stroma ratio is most discriminative in patients with grade III or triple‐negative breast cancer. International Journal of Cancer 2020; 146(8): 2296 doi: 10.1002/ijc.32857
|
| 15 |
Paulina Nastały, Julia Smentoch, Marta Popęda, Emanuele Martini, Paolo Maiuri, Anna J. Żaczek, Marek Sowa, Marcin Matuszewski, Jolanta Szade, Leszek Kalinowski, Magdalena Niemira, Burkhard Brandt, Elke Eltze, Axel Semjonow, Natalia Bednarz-Knoll. Low Tumor-to-Stroma Ratio Reflects Protective Role of Stroma against Prostate Cancer Progression. Journal of Personalized Medicine 2021; 11(11): 1088 doi: 10.3390/jpm11111088
|
| 16 |
C. J. H. Kramer, K. M. H. Vangangelt, G. W. van Pelt, T. J. A. Dekker, R. A. E. M. Tollenaar, W. E. Mesker. The prognostic value of tumour–stroma ratio in primary breast cancer with special attention to triple-negative tumours: a review. Breast Cancer Research and Treatment 2019; 173(1): 55 doi: 10.1007/s10549-018-4987-4
|
| 17 |
Özgen Arslan Solmaz. Prognostic significance of the tumor-stroma ratio in colon carcinoma: a retrospective study. Archives of Medical Science – Civilization Diseases 2018; 3(1): 190 doi: 10.5114/amscd.2018.81186
|
| 18 |
Guhyun Kang, Jung-Soo Pyo, Nae-Yu Kim, Dong-Wook Kang. Clinicopathological Significances of Tumor–Stroma Ratio (TSR) in Colorectal Cancers: Prognostic Implication of TSR Compared to Hypoxia-Inducible Factor-1α Expression and Microvessel Density. Current Oncology 2021; 28(2): 1314 doi: 10.3390/curroncol28020125
|
| 19 |
Lujing Yang, Pengju Chen, Li Zhang, Lin Wang, Tingting Sun, Lixin Zhou, Zhongwu Li, Aiwen Wu. Prognostic value of nucleotyping, DNA ploidy and stroma in high-risk stage II colon cancer. British Journal of Cancer 2020; 123(6): 973 doi: 10.1038/s41416-020-0974-8
|
| 20 |
Konstantinos Zormpas-Petridis, Henrik Failmezger, Shan E Ahmed Raza, Ioannis Roxanis, Yann Jamin, Yinyin Yuan. Superpixel-Based Conditional Random Fields (SuperCRF): Incorporating Global and Local Context for Enhanced Deep Learning in Melanoma Histopathology. Frontiers in Oncology 2019; 9 doi: 10.3389/fonc.2019.01045
|
| 21 |
Ricella M Souza da Silva, Eduardo M Queiroga, Alexandre R Paz, Fabiana F P Neves, Karin S Cunha, Eliane P Dias. Standardized Assessment of the Tumor-Stroma Ratio in Colorectal Cancer: Interobserver Validation and Reproducibility of a Potential Prognostic Factor. Clinical Pathology 2021; 14: 2632010X2198968 doi: 10.1177/2632010X21989686
|
| 22 |
Sophie C. Hagenaars, Kiki M. H. Vangangelt, Gabi W. Van Pelt, Zsófia Karancsi, Rob A. E. M. Tollenaar, Andrew R. Green, Emad A. Rakha, Janina Kulka, Wilma E. Mesker. Standardization of the tumor-stroma ratio scoring method for breast cancer research. Breast Cancer Research and Treatment 2022; 193(3): 545 doi: 10.1007/s10549-022-06587-3
|
| 23 |
Anna Jakab, Árpád V. Patai, Tamás Micsik. Digital image analysis provides robust tissue microenvironment-based prognosticators in patients with stage I-IV colorectal cancer. Human Pathology 2022; 128: 141 doi: 10.1016/j.humpath.2022.07.003
|
| 24 |
Chongpeng Cai, Tingdan Hu, Jing Gong, Dan Huang, Fangqi Liu, Caixia Fu, Tong Tong. Multiparametric MRI-based radiomics signature for preoperative estimation of tumor-stroma ratio in rectal cancer. European Radiology 2021; 31(5): 3326 doi: 10.1007/s00330-020-07403-6
|
| 25 |
Chun-Xian Chen, Dong-Ning Chen, Xiong-Lin Sun, Zhi-Bin Ke, Fei Lin, Hang Chen, Xuan Tao, Fei Huang, Yong Wei, Ning Xu. Identification of vital prognostic genes related to tumor microenvironment in pheochromocytoma and paraganglioma based on weighted gene co-expression network analysis. Aging 2021; 13(7): 9976 doi: 10.18632/aging.202754
|
| 26 |
Qian Xu, Yuan‐Yuan Chen, Ying‐Hao Luo, Jin‐Sen Zheng, Zai‐Huan Lin, Bin Xiong, Lin‐Wei Wang. Proposal of an automated tumor‐stromal ratio assessment algorithm and a nomogram for prognosis in early‐stage invasive breast cancer. Cancer Medicine 2023; 12(1): 131 doi: 10.1002/cam4.4928
|
| 27 |
Aysen Yavuz, Anil Alpsoy, Elif Ocak Gedik, Mennan Yigitcan Celik, Cumhur Ibrahim Bassorgun, Betul Unal, Gulsum Ozlem Elpek. Artificial intelligence applications in predicting the behavior of gastrointestinal cancers in pathology. Artificial Intelligence in Gastroenterology 2022; 3(5): 142-162 doi: 10.35712/aig.v3.i5.142
Abstract(394) |
Core Tip(377) |
Full Article(HTML)(1833)
|
Full Article (PDF)-832K(107)
|
Full Article (Word)-206K(39)
|
Audio-270K(1)
|
Peer-Review Report-359K(41)
|
Answering Reviewers-49K(39)
|
Times Cited (0)
|
Total Visits (5056)
|
Open
|