Systemic sclerosis and microscopic polyangiitis after systemic exposure to silicone.

The relationship between silicon breast implants (SBIs) and autoimmune/inflammatory syndrome induced by adjuvants (ASIA) has been extensively analysed, with discordant results. We present a 45-year-old woman with confirmed systemic exposure to SBI who developed systemic sclerosis (SSc) followed by anti-neutrophil cytoplasmic antibody anti-myeloperoxidase vasculitis with renopulmonary syndrome. The novelty of our case is, first, confirmation of systemic exposure to SBI and, second, chronologic development of not one, but two severe autoimmune diseases. Controversy may still remain regarding SBIs and ASIA because it is unclear that previous studies confirmed systemic exposure to silicon in their cohort of patients.

Intratumour heterogeneity in endometrial serous carcinoma assessed by targeted sequencing and multiplex ligation-dependent probe amplification: a descriptive study.

AIMS: Endometrial serous carcinoma (ESC) represents the most aggressive subtype of endometrial carcinoma (EC). According to The Cancer Genome Atlas (TCGA), ESC exhibits a genomic profile characterised by frequent TP53 mutations and somatic copy-number alterations (SCNA). Several studies have suggested the role of intratumour heterogeneity (ITH) in tumour progression and therapy resistance, highlighting ITH as a challenge for personalised medicine. ITH is described as the co-existence of clonal and subclonal cellular populations within a single tumour. To date, the extent and prevalence of ITH in ESC have not been fully evaluated. The aim of this study was to address ITH analysis in ESC. We performed a descriptive integrated molecular approach using targeted sequencing and multiplex ligation-dependent probe amplification (MLPA) to identify mutations and SCNA patterns, respectively. METHODS AND RESULTS: Eight ESC were examined, selecting three tumour regions per case and their corresponding normal tissue. For targeted sequencing a gene panel of 40 genes based on TCGA and other survey data was performed. For MLPA different probe mixes were used to detect SCNA in 106 genes. Analysis of mutations and SCNA were performed in each sample and comparative analysis of the three tumour regions was also conducted. Targeted sequencing showed that mutations in TP53, PIK3CA and PPP2R1A were ubiquitous in all tumour regions. Moreover, MLPA results demonstrated a high frequency of SCNA, according to the already known presence of genomic instability in ESC. Unlike the homogeneous distribution of somatic mutations, SCNA exhibited ITH affecting targetable genes such as ERBB2. CONCLUSIONS: Our study suggests that somatic gene copy-number alterations are the main source of ITH in ESC.

Targeted sequencing with a customized panel to assess histological typing in endometrial carcinoma.

The two most frequent types of endometrial cancer (EC) are endometrioid (EEC) and serous carcinomas (SC). Differential diagnosis between them is not always easy. A subset of endometrial cancers shows misleading microscopical features, which cause problems in differential diagnosis, and may be a good scenario for next-generation sequencing. Previous studies have assessed the usefulness of targeted sequencing with panels of generic cancer-associated genes in EC histological typing. Based on the analysis of TCGA (The Cancer Genome Atlas), EEC and SC have different mutational profiles. In this proof of principle study, we have performed targeted sequencing analysis with a customized panel, based on the TCGA mutational profile of EEC and SC, in a series of 24 tumors (16 EEC and 8 SC). Our panel comprised coding and non-coding sequences of the following genes: ABCC9, ARID1A, ARID5B, ATR, BCOR, CCND1, CDH19, CHD4, COL11A1, CSDE1, CSMD3, CTCF, CTNNB1, EP300, ERBB2, FBXW7, FGFR2, FOXA2, KLLN, KMT2B, KRAS, MAP3K4, MKI67, NRAS, PGAP3, PIK3CA, PIK3R1, PPP2R1A, PRPF18, PTEN, RPL22, SCARNA11, SIN3A, SMARCA4, SPOP, TAF1, TP53, TSPYL2, USP36, and WRAP53. Targeted sequencing validation by Sanger sequencing and immunohistochemistry was performed in a group of genes. POLE mutation status was assessed by Sanger sequencing. The most mutated genes were PTEN (93.7%), ARID1A (68.7%), PIK3CA (50%), and KMT2B (43.7%) for EEC, and TP53 (87.5%), PIK3CA (50%), and PPP2R1A (25%) for SC. Our panel allowed correct classification of all tumors in the two categories (EEC, SC). Coexistence of mutations in PTEN, ARID1A, and KMT2B was diagnostic of EEC. On the other hand, absence of PTEN, ARID1A, and KMT2B mutations in the presence of TP53 mutation was diagnostic of SC. This proof of concept study demonstrates the suitability of targeted sequencing with a customized endometrial cancer gene panel as an additional tool for confirming histological typing.