Stromal composition predicts recurrence of early rectal cancer after local excision

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dc.citation.issue6
dc.citation.volume79
dc.contributor.authorJones HJS
dc.contributor.authorCunningham C
dc.contributor.authorAskautrud HA
dc.contributor.authorDanielsen HE
dc.contributor.authorKerr DJ
dc.contributor.authorDomingo E
dc.contributor.authorMaughan T
dc.contributor.authorLeedham SJ
dc.contributor.authorKoelzer VH
dc.coverage.spatialEngland
dc.date.accessioned2023-06-22T21:04:40Z
dc.date.available2021-12
dc.date.available2021-06-24
dc.date.available2023-06-22T21:04:40Z
dc.date.issued2021-12
dc.description.abstractAIMS: After local excision of early rectal cancer, definitive lymph node status is not available. An alternative means for accurate assessment of recurrence risk is required to determine the most appropriate subsequent management. Currently used measures are suboptimal. We assess three measures of tumour stromal content to determine their predictive value after local excision in a well-characterised cohort of rectal cancer patients without prior radiotherapy. METHODS AND RESULTS: A total of 143 patients were included. Haematoxylin and eosin (H&E) sections were scanned for (i) deep neural network (DNN, a machine-learning algorithm) tumour segmentation into compartments including desmoplastic stroma and inflamed stroma; and (ii) digital assessment of tumour stromal fraction (TSR) and optical DNA ploidy analysis. 3' mRNA sequencing was performed to obtain gene expression data from which stromal and immune scores were calculated using the ESTIMATE method. Full results were available for 139 samples and compared with disease-free survival. All three methods were prognostic. Most strongly predictive was a DNN-determined ratio of desmoplastic to inflamed stroma >5.41 (P < 0.0001). A ratio of ESTIMATE stromal to immune score <1.19 was also predictive of disease-free survival (P = 0.00051), as was stromal fraction >36.5% (P = 0.037). CONCLUSIONS: The DNN-determined ratio of desmoplastic to inflamed ratio is a novel and powerful predictor of disease recurrence in locally excised early rectal cancer. It can be assessed on a single H&E section, so could be applied in routine clinical practice to improve the prognostic information available to patients and clinicians to inform the decision concerning further management.
dc.description.publication-statusPublished
dc.format.extent947 - 956
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/34174109
dc.identifier.citationHistopathology, 2021, 79 (6), pp. 947 - 956
dc.identifier.doi10.1111/his.14438
dc.identifier.eissn1365-2559
dc.identifier.elements-id448506
dc.identifier.harvestedMassey_Dark
dc.identifier.urihttps://hdl.handle.net/10179/18347
dc.languageeng
dc.publisherJohn Wiley and Sons, Ltd
dc.relation.isPartOfHistopathology
dc.subjectdesmoplastic stroma
dc.subjectearly rectal cancer
dc.subjectinflamed stroma local excision
dc.subjectprognostic factor
dc.subjectstroma
dc.subjectAged
dc.subjectCohort Studies
dc.subjectFemale
dc.subjectHumans
dc.subjectImage Interpretation, Computer-Assisted
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectNeoplasm Recurrence, Local
dc.subjectNeural Networks, Computer
dc.subjectRectal Neoplasms
dc.subjectRetrospective Studies
dc.subjectStromal Cells
dc.subjectTumor Microenvironment
dc.subject.anzsrc1103 Clinical Sciences
dc.titleStromal composition predicts recurrence of early rectal cancer after local excision
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Health
pubs.organisational-group/Massey University/College of Health/Research Centre for Hauora and Health
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