ArticleMolecular medicine (Cambridge, Mass.)2023
Node-negative colon cancer: histological, molecular, and stromal features predicting disease recurrence.
Article in Molecular medicine (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- A scoping review of TSR analysis in colorectal cancer: implications for automated solutions.Oncology reviews · 2025Pooled it
- Rethinking Surgical Extent-Long-term Outcomes after Resection of T1 and T2 Colon Cancer.Annals of surgical oncology · 2026Article
- Predictive value of computed tomography radiomics for lymphatic-vascular space infiltration in colon cancer.American journal of cancer research · 2026Article
- Disease-Free Survival of Patients with Stage II Stroma-Rich Colorectal Adenocarcinomas with Microsatellite Stability.International journal of molecular sciences · 2025Article
- The tumour-stroma ratio as predictive aid towards a biopsy-based treatment strategy in rectal carcinoma.Histopathology · 2025Article
- Establishing high risk factors for recurrence in stage I/II colorectal cancer: a metropolitan perspective.World journal of surgical oncology · 2025Article
- Multidimensional analysis of clinicopathological characteristics and long-term prognosis of colonic signet-ring cell carcinoma.Surgical endoscopy · 2025Article
- Tumor-stroma ratio in colitis-associated colorectal cancer.Upsala journal of medical sciences · 2025Article
- Unselective Measurement of Tumor-to-Stroma Proportion in Colon Cancer at the Invasion Front-An Elusive Prognostic Factor: Original Patient Data and Review of the Literature.Diagnostics (Basel, Switzerland) · 2024Article
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9 authors at 3 institutions in 1 country.
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Abstract
backgroundWithin the group of node-negative colon cancer patients, presumed to have a good prognosis, a significant percentage of patients develops cancer-recurrence. Current high-risk features prove inadequate to select these particular high-risk patients. In the process of tailor-made care and shared decision-making the need to identify these patients grows. In this study we investigate the value of adding molecular markers and the tumour-stroma ratio (TSR) to conventional histological tumour staging methods to improve the selection of high risk patients.
methodsWe retrospectively analysed 201 patients diagnosed with TNM-stage I-II colon cancer and treated by complete oncological resection between November 1st 2002 and December 31st 2012 at the Jeroen Bosch Hospital. Conventional histological tumour staging, BRAF mutations, KRAS mutations, MSI status and TSR were determined. Differences between groups based on TSR and mutation status, in disease free survival were analysed using Cox-Regression analyses.
resultsPoorly differentiated histology (p = 0.002), high-TSR (p = 0.033), BRAF-mutation (p = 0.008) and MSI (p = 0.011) were identified as significant risk factors for cancer recurrence. The risk of recurrence increased in the presence of both a BRAF-mutation and high-TSR compared to the absence of both factors or presence of only one factor (HR = 3.66 BRAF-mt/TSR-low (p = 0.006), HR 2.82 BRAF-wt/TSR-high (p = 0.015), HR = 4.39 BRAF-mt/TSR-high (p = 0.023)). This was also seen in tumours with MSI and high-TSR (HR = 2.46 MSS/TSR-high (p = 0.041), HR = 3.31 MSI/TSR-high (p = 0.045).
conclusionJudging by the higher HR for the combination of the prognostic factors TSR and BRAF compared to the HRs of these prognostic factors individually, the prognostication for disease free survival can be improved by determining both TSR and BRAF instead of BRAF alone, as is done in current daily practise. In this study MSI also shows additional value to TSR in the prognostication of disease free survival. Adopting TSR into daily diagnostics will be of additional value next to currently used molecular markers in risk stratification of patients with node negative colon cancer and is therefore advised.
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