CK7 and consensus molecular subtypes as major prognosticators in V600EBRAF mutated metastatic colorectal cancer
Background V600E BRAF mutated metastatic colorectal cancer (mCRC) is a subtype (10%) with overall poor prognosis, but the clinical experience suggests a great heterogeneity in survival. It is still unexplored the real distribution of traditional and innovative biomarkers among V600E BRAF mutated mCR...
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Veröffentlicht in: | British journal of cancer 2019-10, Vol.121 (7), p.593-599 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Background
V600E
BRAF
mutated metastatic colorectal cancer (mCRC) is a subtype (10%) with overall poor prognosis, but the clinical experience suggests a great heterogeneity in survival. It is still unexplored the real distribution of traditional and innovative biomarkers among
V600E
BRAF
mutated mCRC and which is their role in the improvement of clinical prediction of survival outcomes.
Methods
Data and tissue specimens from 155
V600E
BRAF
mutated mCRC patients treated at eight Italian Units of Oncology were collected. Specimens were analysed by means of immunohistochemistry profiling performed on tissue microarrays. Primary endpoint was overall survival (OS).
Results
CDX2 loss conferred worse OS (HR = 1.72, 95%CI 1.03–2.86,
p
= 0.036), as well as high CK7 expression (HR = 2.17, 95%CI 1.10–4.29,
p
= 0.026). According to Consensus Molecular Subtypes (CMS), CMS1 patients had better OS compared to CMS2-3/CMS4 (HR = 0.37, 95%CI 0.19–0.71,
p
= 0.003). Samples showing less TILs had worse OS (HR = 1.72, 95%CI 1.16–2.56,
p
= 0.007). Progression-free survival analyses led to similar results. At multivariate analysis, CK7 and CMS subgrouping retained their significant correlation with OS.
Conclusion
The present study provides new evidence on how several well-established biomarkers perform in a homogenous
V600E
BRAF
mutated mCRC population, with important and independent information added to standard clinical prognosticators. These data could be useful to inform further translational research, for patients’ stratification in clinical trials and in routine clinical practice to better estimate patients’ prognosis. |
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ISSN: | 0007-0920 1532-1827 |
DOI: | 10.1038/s41416-019-0560-0 |