This paper is in the following e-collection/theme issue:

Non-Randomized Studies (funded, non-eHealth) (143)

Published on in Vol 8, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13464, first published .
Uniform Noting for International Application of the Tumor-Stroma Ratio as an Easy Diagnostic Tool: Protocol for a Multicenter Prospective Cohort Study

Uniform Noting for International Application of the Tumor-Stroma Ratio as an Easy Diagnostic Tool: Protocol for a Multicenter Prospective Cohort Study

Uniform Noting for International Application of the Tumor-Stroma Ratio as an Easy Diagnostic Tool: Protocol for a Multicenter Prospective Cohort Study

Authors of this article:

Marloes Smit1 Author Orcid Image ;   Gabi van Pelt1 Author Orcid Image ;   Annet Roodvoets2 Author Orcid Image ;   Elma Meershoek-Klein Kranenbarg2 Author Orcid Image ;   Hein Putter3 Author Orcid Image ;   Rob Tollenaar1 Author Orcid Image ;   J Han van Krieken4 Author Orcid Image ;   Wilma Mesker1 Author Orcid Image
Article Authors Cited by (21) Tweetations (1) Metrics

Journals

  1. Martin B, Banner B, Schäfer E, Mayr P, Anthuber M, Schenkirsch G, Märkl B. Tumor proportion in colon cancer: results from a semiautomatic image analysis approach. Virchows Archiv 2020;477(2):185 View
  2. Vangangelt K, Green A, Heemskerk I, Cohen D, van Pelt G, Sobral‐Leite M, Schmidt M, Putter H, Rakha E, Tollenaar R, Mesker W. 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 View
  3. Smit M, Philipsen M, Postmus P, Putter H, Tollenaar R, Cohen D, Mesker W. The prognostic value of the tumor-stroma ratio in squamous cell lung cancer, a cohort study. Cancer Treatment and Research Communications 2020;25:100247 View
  4. Smit M, van Pelt G, Dequeker E, Al Dieri R, Tollenaar R, van Krieken J, Mesker W. e-Learning for Instruction and to Improve Reproducibility of Scoring Tumor-Stroma Ratio in Colon Carcinoma: Performance and Reproducibility Assessment in the UNITED Study. JMIR Formative Research 2021;5(3):e19408 View
  5. Zengin M, Zergeroğlu S, Okcu O, Benek S. PD-1 and PD-L2 expression predict relapse risk and poor survival in patients with stage III colorectal cancer. Cellular Oncology 2021;44(2):423 View
  6. Smit M, Mesker W. The role of artificial intelligence to quantify the tumour-stroma ratio for survival in colorectal cancer. EBioMedicine 2020;61:103070 View
  7. Millar E, Browne L, Beretov J, Lee K, Lynch J, Swarbrick A, Graham P. Tumour Stroma Ratio Assessment Using Digital Image Analysis Predicts Survival in Triple Negative and Luminal Breast Cancer. Cancers 2020;12(12):3749 View
  8. Sullivan L, Pacheco R, Kmeid M, Chen A, Lee H. Tumor Stroma Ratio and Its Significance in Locally Advanced Colorectal Cancer. Current Oncology 2022;29(5):3232 View
  9. Nastały P, Smentoch J, Popęda M, Martini E, Maiuri P, Żaczek A, Sowa M, Matuszewski M, Szade J, Kalinowski L, Niemira M, Brandt B, Eltze E, Semjonow A, Bednarz-Knoll N. Low Tumor-to-Stroma Ratio Reflects Protective Role of Stroma against Prostate Cancer Progression. Journal of Personalized Medicine 2021;11(11):1088 View
  10. Smit M, Ciompi F, Bokhorst J, van Pelt G, Geessink O, Putter H, Tollenaar R, van Krieken J, Mesker W, van der Laak J. Deep learning based tumor–stroma ratio scoring in colon cancer correlates with microscopic assessment. Journal of Pathology Informatics 2023;14:100191 View
  11. Ravensbergen C, Kuruc M, Polack M, Crobach S, Putter H, Gelderblom H, Roy D, Tollenaar R, Mesker W. The Stroma Liquid Biopsy Panel Contains a Stromal-Epithelial Gene Signature Ratio That Is Associated with the Histologic Tumor-Stroma Ratio and Predicts Survival in Colon Cancer. Cancers 2021;14(1):163 View
  12. Hagenaars S, Vangangelt K, Van Pelt G, Karancsi Z, Tollenaar R, Green A, Rakha E, Kulka J, Mesker W. Standardization of the tumor-stroma ratio scoring method for breast cancer research. Breast Cancer Research and Treatment 2022;193(3):545 View
  13. Geessink O, Baidoshvili A, Klaase J, Ehteshami Bejnordi B, Litjens G, van Pelt G, Mesker W, Nagtegaal I, Ciompi F, van der Laak J. Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer. Cellular Oncology 2019;42(3):331 View
  14. Ravensbergen C, Polack M, Roelands J, Crobach S, Putter H, Gelderblom H, Tollenaar R, Mesker W. Combined Assessment of the Tumor–Stroma Ratio and Tumor Immune Cell Infiltrate for Immune Checkpoint Inhibitor Therapy Response Prediction in Colon Cancer. Cells 2021;10(11):2935 View
  15. Smit M, van Pelt G, Terpstra V, Putter H, Tollenaar R, Mesker W, van Krieken J. Tumour-stroma ratio outperforms tumour budding as biomarker in colon cancer: a cohort study. International Journal of Colorectal Disease 2021;36(12):2729 View
  16. Miller S, Bauer S, Schrempf M, Schenkirsch G, Probst A, Märkl B, Martin B. Semiautomatic analysis of tumor proportion in colon cancer: Lessons from a validation study. Pathology - Research and Practice 2021;227:153634 View
  17. Gao J, Shen Z, Deng Z, Mei L. Impact of Tumor–Stroma Ratio on the Prognosis of Colorectal Cancer: A Systematic Review. Frontiers in Oncology 2021;11 View
  18. Diederiks N, Ravensbergen C, Treep M, van Wezel M, Kuruc M, Renee Ruhaak L, Tollenaar R, Cobbaert C, van der Burgt Y, Mesker W. Development of Tier 2 LC-MRM-MS protein quantification methods for liquid biopsies. Journal of Mass Spectrometry and Advances in the Clinical Lab 2023;27:49 View
  19. Polack M, Smit M, van Pelt G, Roodvoets A, Meershoek-Klein Kranenbarg E, Putter H, Gelderblom H, Crobach A, Terpstra V, Petrushevska G, Gašljević G, Kjær-Frifeldt S, de Cuba E, Bulkmans N, Vink G, Al Dieri R, Tollenaar R, van Krieken J, Mesker W, Petrushevska G, Bogdanovska M, Zdravkoski P, Antovic S, Dzambaz D, Karagjozov P, de Cuba E, Beverdam F, Jansen J, Vermaas M, Gašljević G, Kjær-Frifeldt S, Lindebjerg J, Strous M, Vogelaar J, Bulkmans N, van Baarlen J, Mekenkamp L, Hoekstra R, Sie M, Cuatrecasas M, Simonetti S, Rodrigo M, Sanz I, Guerrero Pineda J, Leeuwis-Fedorovich N, Talsma K, Souza da Silva R, Lacle M, Koopman M, Dekker J, van Tilburg A, Nuciforo P, Villalobos Alberú X, Landolfi S, Zucchiatti A, Witteveen E, Bordbar A, Hendriks M, Arensman R, Natu S, Maka N, Mesker W, Tollenaar R, Polack M, Smit M, van Pelt G, Putter H, Meershoek-Kleinenbarg E, Roodvoets A, Crobach A, Gelderblom H, Fontes e Sousa M, Borralho Nunes P, Cruz J, Raimundo A, Silva N, Brito M, Terpstra V, Zakhartseva L, Al Dieri R, Fléjou J, Feakins R, Dequeker E, Vink G, van Krieken J. Results from the UNITED study: a multicenter study validating the prognostic effect of the tumor–stroma ratio in colon cancer. ESMO Open 2024;9(4):102988 View
  20. Knight K, Bigley C, Pennel K, Hay J, Maka N, McMillan D, Park J, Roxburgh C, Edwards J. The Glasgow Microenvironment Score: an exemplar of contemporary biomarker evolution in colorectal cancer. The Journal of Pathology: Clinical Research 2024;10(4) View
  21. Dukoska D, Zdravkovski P, Kostadinova-Kunovska S, Krsteska B, Karagjozov P, Dzambaz D, Nikolovski A, Antovic S, Jankulovski N, Petrushevska G. Tumor Budding as a Prognostic Marker in Primary Colon Cancer – A Single Center Experience. PRILOZI 2024;45(2):47 View