2021
DOI: 10.3389/fonc.2021.671629
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Low Concordance Between T-Cell Densities in Matched Primary Tumors and Liver Metastases in Microsatellite Stable Colorectal Cancer

Abstract: BackgroundThe subtype, density and location of tumor infiltrating T-cells are being explored as prognostic and predictive biomarkers in primary colorectal cancer (pCRC) and colorectal liver metastases (CLM). Very limited data exist comparing findings in pCRC and matched CLM.Patients and methodsFifty-eight patients with available pCRC and matched CLM (57/58 microsatellite stable) were included in this OSLO-COMET substudy. In immunohistochemically stained sections, total (Ttot), helper (TH), cytotoxic (CTL), and… Show more

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Cited by 3 publications
(3 citation statements)
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“…Generally, the levels were low (median = 2.8 mg/L; min-max 0.6–45 mg/L; where nine cases had CRP levels above the 5 mg/L threshold value). All included patients had MSS tumors ( 14 ).…”
Section: Resultsmentioning
confidence: 99%
“…Generally, the levels were low (median = 2.8 mg/L; min-max 0.6–45 mg/L; where nine cases had CRP levels above the 5 mg/L threshold value). All included patients had MSS tumors ( 14 ).…”
Section: Resultsmentioning
confidence: 99%
“…Thus, intermetastatic heterogeneity, including the composition of the TME, exists among different metastatic lesions in the same patients as well as heterogeneity between the primary tumor and metastases [ 161 , 162 ]. This may be associated with the low concordance of T cell tumor infiltration between primary tumor and matched metastases seen in colorectal cancer [ 163 ]. Although typical driver gene mutations are shared by all lesions, a patient with metastatic cancer will have other critical tumor mutations that are not shared [ 164 , 165 ].…”
Section: Perspectivesmentioning
confidence: 99%
“…Translational oncology has been improved significantly by tissue-based biomarker analysis using IHC, which maintains spatial and cell-specific information, and allows for reliable biomarker expression analysis inside the tumor micro-environment [ 5 ]. A pathologist can assess the quantification of biomarker-expressing cells and their location to provide significant prognostic patient information [ 6 , 7 ]. As a means of evaluating biomarkers in a high volume/high throughput manner, Tissue microarrays (TMA) can be incorporated into the development pipeline of biomarker research [ 8 , 9 ].…”
Section: Introductionmentioning
confidence: 99%