3 research outputs found

    Whole exome sequencing of rare aggressive breast cancer histologies

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    Little is known about mutational landscape of rare breast cancer (BC) subtypes. The aim of the study was to apply next generation sequencing to three different subtypes of rare BCs in order to identify new genes related to cancer progression. We performed whole exome and targeted sequencing of 29 micropapillary, 23 metaplastic, and 27 pleomorphic lobular BCs. Micropapillary BCs exhibit a profile comparable to common BCs: PIK3CA, TP53, GATA3, and MAP2K4 were the most frequently mutated genes. Metaplastic BCs presented a high frequency of TP53 (78 %) and PIK3CA (48 %) mutations and were recurrently mutated on KDM6A (13 %), a gene involved in histone demethylation. Pleomorphic lobular carcinoma exhibited high mutation rate of PIK3CA (30 %), TP53 (22 %), and CDH1 (41 %) and also presented mutations in PYGM, a gene involved in glycogen metabolism, in 8 out of 27 samples (30 %). Further analyses of publicly available datasets showed that PYGM is dramatically underexpressed in common cancers as compared to normal tissues and that low expression in tumors is correlated with poor relapse-free survival. Immunohistochemical staining on formalin-fixed paraffin-embedded tissues available in our cohort of patients confirmed higher PYGM expression in normal breast tissue compared to equivalent tumoral zone. Next generation sequencing methods applied on rare cancer subtypes can serve as a useful tool in order to uncover new potential therapeutic targets. Sequencing of pleomorphic lobular carcinoma identified a high rate of alterations in PYGM. These findings emphasize the role of glycogen metabolism in cancer progression

    Refinement of high risk endometrial cancer classification using DNA damage response biomarkers:a TransPORTEC initiative

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    The TransPORTEC consortium previouslclassified high-risk endometrial cancer including poor-risk histologies such as clear cells, into four molecular subtypes "POLE mutated," "microsatellite unstable," "TP53 mutated," and "no specific molecular profile." We evaluated whether DNA damage response biomarkers could further refine this high-risk tumors classification, in particular the heterogeneous "no specific molecular profile" and "TP53 mutated" subsets recently qualified as poor prognosis in high-risk endometrial cancer. DNA damage response biomarkers including proteins involved in DNA damage (delta-H2AX), homologous recombination (RAD51), regulators of error-prone Non Homologous End-Joining (DNA-pk, FANCD2), and PARP-1 were evaluated in 116 high-risk tumors by immunohistochemistry. CD8 and PD-1 expression by immunochemistry and mutation analyses were performed previously. Survival outcome were calculated using Kaplan-Meier and Log-rank test. None of the DNA damage response biomarkers alone were prognostic. However markers were informative within molecular subsets. Among the "no specific molecular profile" subset, delta-H2AX+ was significantly predictive of poor disease free survival (Hazard Ratio = 2.56; p = 0.026), and among "TP53 mutated," a DNA-pk+/FANCD2-profile (favouring error-prone Non Homologous End-Joining) predicted worst disease free survival (Hazard Ratio = 4.95; p = 0.009) resulting in five distinct prognostic subgroups from best to worst prognosis: group1 "POLE mutated/Microsatellite unstable" > group2 "no specific molecular profile with no DNA damage" > group3 "TP53 mutated/Non Homologous End-Joining negative" > group4 "no specific molecular profile with high DNA damage" > group5 "TP53 mutated/Non Homologous End-Joining positive"; p = 0.0002). Actionable targets were also different among subsets. Group3 had significantly higher infiltration of PD-1+ immune cells (p = 0.003), segregating with group1. Group2 had frequent PI3K pathway mutations and ER positivity. While group5, with the worst prognosis, had high DNA damage and PARP-1 expression providing a rationale for PARP inhibition. Our findings have refined the TransPORTEC prognostic classification of high-risk endometrial cancer into five distinct subgroups by integrating DNA damage response biomarkers and identified molecular subtype-specific therapeutic strategies
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