Literature DB >> 28746977

Intratumoral stromal morphometry predicts disease recurrence but not response to 5-fluorouracil-results from the QUASAR trial of colorectal cancer.

Gordon G A Hutchins1, Darren Treanor1, Alexander Wright1, Kelly Handley2, Laura Magill2, Emma Tinkler-Hundal1, Katie Southward1, Matthew Seymour3, David Kerr4, Richard Gray5, Philip Quirke1.   

Abstract

AIMS: The biological importance of tumour-associated stroma is becoming increasingly apparent, but its clinical utility remains ill-defined. For stage II/Dukes B colorectal cancer (CRC), clinical biomarkers are urgently required to direct therapeutic options. We report here prognostic/predictive analyses, and molecular associations, of stromal morphometric quantification in the Quick and Simple and Reliable (QUASAR) trial of CRC. METHODS AND
RESULTS: Relative proportions of tumour epithelium (PoT) or stroma (PoS) were morphometrically quantified on digitised haematoxylin and eosin (H&amp;E) sections derived from 1800 patients enrolled in QUASAR, which randomised 3239 (91% stage II) CRC patients between adjuvant fluorouracil/folinic acid (FUFA) chemotherapy and observation. The prognostic and predictive values of PoT/PoS measurements were determined by the use of stratified log-rank analyses. A high proportion of tumour stroma (≥50%) was associated with an increased recurrence risk: 31.3% (143/457) recurrence for ≥50% versus 21.9% (294/1343) for <50% [rate ratio (RR) 1.62; 95% confidence interval (CI) 1.30-2.02; P < 0.0001]. Of patients with stromal proportions of ≥65%, 40% (46/115) had recurrent disease within 10 years. The adverse prognostic effect of a high stromal proportion was independent of established prognostic variables, and was maintained in stage II/Dukes B patients (RR 1.62; 95% CI 1.26-2.08; P = 0.0002). KRAS mutation in the presence of a high stromal proportion augmented recurrence risk (RR 2.93; 95% CI 1.87-4.59; P = 0.0005). Stromal morphometry did not predict response to FUFA chemotherapy.
CONCLUSIONS: Simple digital morphometry applied to a single representative H&amp;E section identifies CRC patients with a >50% higher risk of disease recurrence. This technique can reliably partition patients into subpopulations with different risks of tumour recurrence in a simple and cost-effective manner. Further prospective validation is warranted.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  cancer; colon; colorectal; rectal; stroma

Mesh:

Substances:

Year:  2017        PMID: 28746977     DOI: 10.1111/his.13326

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  8 in total

1.  Antiangiogenic immunotherapy suppresses desmoplastic and chemoresistant intestinal tumors in mice.

Authors:  Simone Ragusa; Borja Prat-Luri; Alejandra González-Loyola; Sina Nassiri; Mario Leonardo Squadrito; Alan Guichard; Sabrina Cavin; Nikolce Gjorevski; David Barras; Giancarlo Marra; Matthias P Lutolf; Jean Perentes; Emily Corse; Roberta Bianchi; Laureline Wetterwald; Jaeryung Kim; Guillermo Oliver; Mauro Delorenzi; Michele De Palma; Tatiana V Petrova
Journal:  J Clin Invest       Date:  2020-03-02       Impact factor: 14.808

Review 2.  Clinicopathological, genomic and immunological factors in colorectal cancer prognosis.

Authors:  K M Marks; N P West; E Morris; P Quirke
Journal:  Br J Surg       Date:  2018-01       Impact factor: 6.939

3.  The prognostic value of tumour stroma ratio and tumour budding in stage II colon cancer. A nationwide population-based study.

Authors:  Ann Christina Eriksen; Flemming B Sørensen; Jan Lindebjerg; Henrik Hager; René dePont Christensen; Sanne Kjær-Frifeldt; Torben F Hansen
Journal:  Int J Colorectal Dis       Date:  2018-05-21       Impact factor: 2.571

4.  Tumor proportion in colon cancer: results from a semiautomatic image analysis approach.

Authors:  Benedikt Martin; Bettina Monika Banner; Eva-Maria Schäfer; Patrick Mayr; Matthias Anthuber; Gerhard Schenkirsch; Bruno Märkl
Journal:  Virchows Arch       Date:  2020-02-19       Impact factor: 4.064

5.  Attention-guided sampling for colorectal cancer analysis with digital pathology.

Authors:  Andrew Broad; Alexander I Wright; Marc de Kamps; Darren Treanor
Journal:  J Pathol Inform       Date:  2022-06-24

6.  Does heterogeneity matter in the estimation of tumour budding and tumour stroma ratio in colon cancer?

Authors:  Ann C Eriksen; Johnnie B Andersen; Jan Lindebjerg; René dePont Christensen; Torben F Hansen; Sanne Kjær-Frifeldt; Flemming B Sørensen
Journal:  Diagn Pathol       Date:  2018-03-20       Impact factor: 2.644

7.  Transcriptional subtyping and CD8 immunohistochemistry identifies poor prognosis stage II/III colorectal cancer patients who benefit from adjuvant chemotherapy.

Authors:  W L Allen; P D Dunne; S McDade; E Scanlon; M Loughrey; H Coleman; C McCann; K McLaughlin; Z Nemeth; N Syed; P Jithesh; K Arthur; R Wilson; V Coyle; D McArt; G I Murray; L Samuel; P Nuciforo; J Jimenez; G Argiles; R Dienstmann; J Tabernero; L Messerini; S Nobili; E Mini; K Sheahan; E Ryan; P G Johnston; S Van Schaeybroeck; M Lawler; D B Longley
Journal:  JCO Precis Oncol       Date:  2018-06-13

8.  Stromal composition predicts recurrence of early rectal cancer after local excision.

Authors:  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
Journal:  Histopathology       Date:  2021-09-03       Impact factor: 7.778

  8 in total

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