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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 ImagesFrontiers 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 specimensVirchows Archiv 2024; 485(4): 703 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 cancerEuropean 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 excisionHistopathology 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 SystemJournal 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 cancerCellular 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 microscopyBiomedical 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 phenotypesArchive 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 interfacesBiomaterials 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 AssessmentCancers 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 CarcinomaTechnology 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 TumorsMedicina 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 cancerInternational 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 ProgressionJournal 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 reviewBreast 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 studyArchives of Medical Science – Civilization Diseases 2018; 3(1): 190 doi: 10.5114/amscd.2018.81186
18
Pierpaolo Vendittelli, John-Melle Bokhorst, Esther M. M. Smeets, Valentyna Kryklyva, Lodewijk A. A. Brosens, Caroline Verbeke, Geert Litjens, Shuai Ren. Automatic quantification of tumor-stroma ratio as a prognostic marker for pancreatic cancerPLOS ONE 2024; 19(5): e0301969 doi: 10.1371/journal.pone.0301969
19
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 DensityCurrent Oncology 2021; 28(2): 1314 doi: 10.3390/curroncol28020125
20
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 cancerBritish Journal of Cancer 2020; 123(6): 973 doi: 10.1038/s41416-020-0974-8
21
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 HistopathologyFrontiers in Oncology 2019; 9 doi: 10.3389/fonc.2019.01045
22
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 FactorClinical Pathology 2021; 14 doi: 10.1177/2632010X21989686
23
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 researchBreast Cancer Research and Treatment 2022; 193(3): 545 doi: 10.1007/s10549-022-06587-3
24
Anna Jakab, Árpád V. Patai, Tamás Micsik. Digital image analysis provides robust tissue microenvironment-based prognosticators in patients with stage I-IV colorectal cancerHuman Pathology 2022; 128: 141 doi: 10.1016/j.humpath.2022.07.003
25
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 cancerEuropean Radiology 2021; 31(5): 3326 doi: 10.1007/s00330-020-07403-6
26
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 analysisAging 2021; 13(7): 9976 doi: 10.18632/aging.202754
27
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 cancerCancer Medicine 2023; 12(1): 131 doi: 10.1002/cam4.4928
28
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 pathologyArtificial Intelligence in Gastroenterology 2022; 3(5): 142-162 doi: 10.35712/aig.v3.i5.142