Skip to content

Research at St Andrews

Novel internationally verified method reports desmoplastic reaction as the most significant prognostic feature for disease-specific survival in stage II colorectal cancer

Research output: Contribution to journalArticle

Author(s)

Ines P. Nearchou, Yoshiki Kajiwara, Satsuki Mochizuki, David James Harrison, Peter David Caie, Hideki Ueno

School/Research organisations

Abstract

Multiple histopathologic features have been reported as candidates for predicting aggressive stage II colorectal cancer (CRC). These include tumor budding (TB), poorly differentiated clusters (PDC), Crohn-like lymphoid reaction and desmoplastic reaction (DR) categorization. Although their individual prognostic significance has been established, their association with disease-specific survival (DSS) has not been compared in stage II CRC. This study aimed to evaluate and compare the prognostic value of the above features in a Japanese (n=283) and a Scottish (n=163) cohort, as well as to compare 2 different reporting methodologies: analyzing each feature from across every tissue slide from the whole tumor and a more efficient methodology reporting each feature from a single slide containing the deepest tumor invasion. In the Japanese cohort, there was an excellent agreement between the multi-slide and single-slide methodologies for TB, PDC, and DR (κ=0.798 to 0.898) and a good agreement when assessing Crohn-like lymphoid reaction (κ=0.616). TB (hazard ratio [HR]=1.773; P=0.016), PDC (HR=1.706; P=0.028), and DR (HR=2.982; P<0.001) based on the single-slide method were all significantly associated with DSS. DR was the only candidate feature reported to be a significant independent prognostic factor (HR=2.982; P<0.001) with both multi-slide and single-slide methods. The single-slide result was verified in the Scottish cohort, where multivariate Cox regression analysis reported that DR was the only significant independent feature (HR=1.778; P=0.002) associated with DSS. DR was shown to be the most significant of all the analyzed histopathologic features to predict disease-specific death in stage II CRC. We further show that analyzing the features from a single-slide containing the tumor’s deepest invasion is an efficient and quicker method of evaluation.
Close

Details

Original languageEnglish
Pages (from-to)1239-1248
Number of pages10
JournalAmerican Journal of Surgical Pathology
Volume43
Issue number9
Early online date14 Jun 2019
DOIs
Publication statusPublished - Sep 2019

    Research areas

  • Desmoplastic reaction, Tumour budding, Poorly differentiated clusters, Prognosis, Colorectal cancer

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis

    Brieu, N., Gavriel, C., Nearchou, I. P., Harrison, D. J., Schmidt, G. & Caie, P. D., 26 Mar 2019, In : Scientific Reports. 9, 5174.

    Research output: Contribution to journalArticle

  2. Colorectal cancer outcome prediction from H&E whole slide images using machine learning and automatically inferred phenotype profiles

    Yue, X., Dimitriou, N., Caie, P., Harrison, D. & Arandjelovic, O., 18 Mar 2019, Proceedings of 11th International Conference on Bioinformatics and Computational Biology, BICOB 2019: Honolulu; United States; 18 March 2019 through 20 March 2019. Eulenstein, O., Al-Mubaid, H. & Ding, Q. (eds.). EasyChair, p. 139-127 11 p. (EPiC Series in Computing; vol. 60).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Identifying prognostic structural features in tissue sections of colon cancer patients using point pattern analysis

    Jones-Todd, C. M., Caie, P., Illian, J. B., Stevenson, B. C., Savage, A., Harrison, D. J. & Brown, J. L., 28 Nov 2018, In : Statistics in Medicine. Early View

    Research output: Contribution to journalArticle

Related by journal

  1. p16INK4a immunohistochemistry improves interobserver agreement in the diagnosis of cervical intraepithelial neoplasia

    Klaes, R., Benner, A., Friedrich, T., Ridder, R., Herrington, C. S., Jenkins, D., Kurman, RJ., Schmidt, D., Stoler, M. & von Knebel Doeberitz, M., Nov 2002, In : American Journal of Surgical Pathology. 26, 11, p. 1389-1399 11 p.

    Research output: Contribution to journalArticle

  2. Induced deletion of the retinoblastoma gene (Rb) from mouse hepatocytes rapidly changes p53, cell cycle and polyploidy regulation.

    Prost, S., Sheahan, S., Rannie, D., Vooijs, M., Berns, A. & Harrison, D., Mar 2000, In : American Journal of Surgical Pathology. 190, p. 63A-63A

    Research output: Contribution to journalArticle

ID: 258966620

Top