Molecular subtypes in early colorectal cancer associated with clinical features and patient prognosis

Purpose: After surgical resection, an ample prognosis variability among stages is observed. Multiple prognostic factors are individually studied and some CRC classifiers have been proposed. Not one have been implemented into clinical practice. Methods/patients: We classified 105 patients with resected CRC (stage I-III) into five molecular subtypes using BRAFV600E and RAS (KRAS; NRAS) status, and the expression of DNA mismatch repair (MMR) proteins (MLH1 and MSH2). Clinicopathological features and DFS) of distincts groups were evaluated. Results and conclusions: RAS and BRAFV600E mutations were detected in 43.8 and 11.4% of patients, respectively. 19% of tumours had lack of expression of any MMR proteins reflecting a system deficiency (dMMR). Patients with any RAS mutation had lower DFS that patients with RAS wild type (wt) (40.23 vs 45.26 months; p value = 0.035). Of a total of five molecular subtypes, three were MMR proficient (pMMR): RAS mutated (39%), BRAFV600E mutated (6.7%) and RAS/BRAFV600E wt (35.2%); and two were dMMR: BRAFV600E mutated (4.8%) and BRAFV600E wt (14.3%). Left side tumours were more frequently observed in pMMR/RAS and BRAFV600E wt subtype, and right side tumours in dMMR subtypes. Among the three pMMR subtypes, a benefit survival was observed for patients without any mutation in BRAFv600E or RAS oncogenes (median of DFS = 45.5 vs 40.98 months in RAS mutated group; p = 0.084 and vs 34.13 in BRAFv600E mutated group; p = 0.031). Molecular classification using these biomarkers can be useful to identify groups with differences in prognosis

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Molecular subtypes in early colorectal cancer associated with clinical features and patient prognosis.

PURPOSE: After surgical resection, an ample prognosis variability among stages is observed. Multiple prognostic factors are individually studied and some CRC classifiers have been proposed. Not one have been implemented into clinical practice. METHODS/PATIENTS: We classified 105 patients with resected CRC (stage I-III) into five molecular subtypes using BRAFV600E and RAS (KRAS; NRAS) status, and the expression of DNA mismatch repair (MMR) proteins (MLH1 and MSH2). Clinicopathological features and DFS) of distincts groups were evaluated. RESULTS AND CONCLUSIONS: RAS and BRAFV600E mutations were detected in 43.8 and 11.4% of patients, respectively. 19% of tumours had lack of expression of any MMR proteins reflecting a system deficiency (dMMR). Patients with any RAS mutation had lower DFS that patients with RAS wild type (wt) (40.23 vs 45.26 months; p value = 0.035). Of a total of five molecular subtypes, three were MMR proficient (pMMR): RAS mutated (39%), BRAFV600E mutated (6.7%) and RAS/BRAFV600E wt (35.2%); and two were dMMR: BRAFV600E mutated (4.8%) and BRAFV600E wt (14.3%). Left side tumours were more frequently observed in pMMR/RAS and BRAFV600E wt subtype, and right side tumours in dMMR subtypes. Among the three pMMR subtypes, a benefit survival was observed for patients without any mutation in BRAFv600E or RAS oncogenes (median of DFS = 45.5 vs 40.98 months in RAS mutated group; p = 0.084 and vs 34.13 in BRAFv600E mutated group; p = 0.031). Molecular classification using these biomarkers can be useful to identify groups with differences in prognosis.

Predicting the duration of chemotherapy-induced neutropenia: new scores and validation.

BACKGROUND: the objective of this study was to develop predictive models to classify febrile neutropenic patients into two groups, according to a prediction of the duration of the chemotherapy-induced neutropenia episode. PATIENTS AND METHODS: for this retrospective analysis, 106 patients with solid tumours and an episode of febrile neutropenia (FN) were eligible. A score was attributed to each chemotherapy treatment drug according to its expected toxicity. Three new scores were proposed based only on this classification. Two of them are a combination of the individual drug scores and the third one was built using statistical techniques such as cluster analysis and classification trees. RESULTS: statistical techniques produced the best score, distinguishing two groups of patients with statistically different neutropenia durations, with median durations until haematological recovery of absolute neutrophil count 2 × 10(9)/l of 4 versus 2 days (P < 0.001). CONCLUSIONS: our methodological approach based on statistical techniques identifies the patients who will need the longest times to recover from FN. The input of this predictive system is only the aggressiveness of the cytotoxic agents in a chemotherapy regimen. Our proposal succeeded in distinguishing two groups of patients and the results show better performance than other scores in previous studies.