PDF file, 32KB, Correlation between ctDNA and cfcDNA levels in UM patients.

MCF7 and MCF7-LTED cells were treated {plus minus} AZD5363 for 24-hours and RNA was submitted to microarray analysis.

Cell lines were treated as described with GI50 concentrations of each drug alone or in combination, as indicated in the graphs. For Combination Index Tables shown, each graph cells were treated with AZD5363 and a combination of (A) 4-OHT, (B) fulvestrant and (C) anastrozole over a 6-day period. CIs were derived using Calcusyn software and significance was calculated, as detailed in the Methods.

Supplementary Table S1. Statistical analysis of tumor growth inhibition (TGI).

Supplementary Figure S1. Representative sections of TMA corresponding to HBCx22 OvaR xenograft.

Cells were treated in absence or presence of exogenous E2 (0.01nM), 1�S or androstenedione and increasing concentrations of AZD5363. Treatments were performed at day 1 and day 3 after seeding. After 6 days of treatment, cell viability was analyzed by using a cell titre-glo assay. Data are expressed as fold-change relative to vehicle control. Error bars represent {plus minus} SEM.

Cells lines were treated with the combinations stated above for 24-hours, RNA was extracted and cDNA synthetised. mRNA analysis was performed by RT-qPCR using taqman oligos described in the material and methods. Error bars represent {plus minus} SEM. *p<0.05; **p<0.01; ***p<0.001.

Supplementary Table S2. P-S6 IHC scores corresponding to tumors from the 3 TMA.

(A) MCF7 and MCF7-LTED were treated for 1, 8 and 24-hours with the drug combinations indicated (B) T47D, T47D-LTED, ZR75., ZR75-LTED and TamR cell lines were treated for 1-hour as indicated and signalling pathways analysed by immunoblotting. (C) MCF7 and MCF7-LTED cells were treated with the drug combinations indicated for 48-hours and FACS analysis used to measure changes in S-phase . Error bars represent {plus minus} SEM. *p<0.05; **p<0.01; ***p<0.001.

Supplementary Table S7. Upstream regulators identified by the Upstream Regulator Analysis in HBCx22 TamR and HBCx34 TamR xenografts.

Cells were treated in absence or presence of exogenous E2 (0.01nM), 1S or androstenedione and increasing concentrations of AZD5363. Treatments were performed at day 1 and day 3 after seeding. After 6 days of treatment, cell viability was analyzed by using a cell titre-glo assay. Data are expressed as fold-change relative to vehicle control. Error bars represent {plus minus} SEM.

PDF file, 26KB, Biological and imaging characteristics in the 21 metastatic uveal melanoma patients.

Breast cancer (BC) remains one of the most commonly diagnosed malignancies in women. There is increasing interest in the development of non-invasive screening methods. Volatile organic compounds (VOCs) emitted through the metabolism of cancer cells are possible novel cancer biomarkers. This study aims to identify the existence of BC-specific VOCs in the sweat of BC patients. Sweat samples from the breast and hand area were collected from 21 BC participants before and after breast tumor ablation. Thermal desorption coupled with two-dimensional gas chromatography and mass spectrometry was used to analyze VOCs. A total of 761 volatiles from a homemade human odor library were screened on each chromatogram. From those 761 VOCs, a minimum of 77 VOCs were detected within the BC samples. Principal component analysis showed that VOCs differ between the pre- and post-surgery status of the BC patients. The Tree-based Pipeline Optimization Tool identified logistic regression as the best-performing machine learning model. Logistic regression modeling identified VOCs that distinguish the pre-and post-surgery state in BC patients on both the breast and hand area with sensitivities close to 1. Further, Shapley additive explanations and the probe variable method identified the most important and pertinent VOCs distinguishing pre- and post-operative status which are mostly of distinct origin for the hand and breast region. Results suggest the possibility to identify endogenous metabolites linked to BC, hence proposing this innovative pipeline as a stepstone to discovering potential BC biomarkers. Large-scale studies in a multi-centered VOC analysis setting must be carried out to validate obtained findings.

MCF7 and MCF7-LTED cells lines were cultured in DCC {plus minus} AZD5363 and mRNA analysis performed by RT-qPCR. Error bars represent {plus minus} SEM. *p<0.05; **p<0.01; ***p<0.001. Coloured dots indicate which signalling pathways each gene belongs to.

Supplementary Table S5. Genes differentially expressed between HBCx34 TamR and HBCx34 and associated gene ontology terms.

We developed a new transcutaneous method for breast cancer detection with dogs: 2 dogs were trained to sniff skin secretion samples on compresses that had been worn overnight by women on their breast, and to recognize a breast cancer sample among 4 samples. During the test, the dogs recognized 90.3% of skin secretion breast cancer samples. This proof-of-concept study opens new avenues for the development of a reliable cancer diagnostic tool integrating olfactory abilities of dogs.

INTRODUCTION:During the metabolic processes of malignant wounds, bacteria produce a large amount of volatile organic compounds (VOCs) that are responsible for malodors and may have a major impact on the patient's quality of life with a risk of isolation.OBJECTIVE:A translational study was conducted on 32 malignant breast wounds by combining the identification of bacterial strains present on wounds, the identification of VOCs produced by these bacterial strains, and sensory evaluation to assess odor intensity and quality of odorous bacteria.MATERIALS AND METHODS:Thirty-two patients with malignant breast cancer wounds > 10 cm2 at various stages of the disease (curative or palliative) were included in the protocol. Volatile organic compounds were collected from primary dressings by headspace solid-phase microextraction and then analyzed by gas chromatography separation coupled with a mass spectrometer detector analysis. Microbiological samplings were taken and analyzed on agar plates. The odors of selected bacteria were assessed by a panel of staff members.RESULTS:Proteus mirabilis and Fusobacterium necrophorum seem to produce the strongest and most typical malignant wound odor. The VOCs were analyzed and dimethyl disulfide, dimethyl trisulfide, phenol, indole, and 3-methylbutanal were found to be produced by bacteria generating the most typical wound odor.CONCLUSIONS:This study suggests the bacteria present in wounds may be responsible for odors. In addition, these findings could pave the way to engineer new types of dressings and to develop an evaluation method to assess their efficiency both quantitatively and qualitatively as well as improve quality of palliative care and comfort for women with malignant wounds.

Lʼodeur est une perception qui peut apparaître au décours de l'évolution dʼune plaie ou en l'absence de soins (dʼhygiène et/ou de plaies). Dans la plupart des situations, les odeurs nauséabondes des plaies peuvent être traitées, mais ce symptôme reste parfois incontrôlable, pouvant aller jusquʼà lʼisolement ou la répudiation. Lʼobjectif de cette étude est de développer une solution topique à base de cannelle pour le traitement des plaies malodorantes. Treatment of malodorous wounds by a spice medical device. Odor is a perception that can appear on necrotic, abscessed, infected, malignant wounds or in the absence of care (hygiene and / or wounds). In most situations, foul-smelling wounds can be treated, but this symptom sometimes remains uncontrollable, including isolation or repudiation. The objective of this study is to develop a topical cinnamon solution for the treatment of malodorous wounds.

While sensitivity to odours varies from one individual to another, bad smells can instinctively and uncontrollably induce nausea and revulsion. Different treatment strategies can be implemented. They consist in neutralising the odours, adding more pleasant smells and/or targeting the bacteria. The management of odours remains a complex problem without any universal or single solution. Odour control must not be used as a replacement for adapted hygiene and wound care.

Drug discovery efforts have focused on the tumor microenvironment in recent years. However, few studies have characterized the stroma component in patient-derived xenografts (PDXs) and genetically engineered mouse models (GEMs). In this study, we characterized the stroma in various models of breast cancer tumors in mice. We performed transcriptomic and flow cytometry analyses on murine populations for a series of 25 PDXs and the two most commonly used GEMs (MMTV-PyMT and MMTV-erBb2). We sorted macrophages from five models. We then profiled gene expression in these cells, which were also subjected to flow cytometry for phenotypic characterization. Hematopoietic cell composition, mostly macrophages and granulocytes, differed between tumors. Macrophages had a specific polarization phenotype related to their M1/M2 classification and associated with the expression of genes involved in the recruitment, invasion and metastasis processes. The heterogeneity of the stroma component of the models studied suggests that tumor cells modify their microenvironment to satisfy their needs. Our observations suggest that such models are of relevance for preclinical studies.