13 research outputs found
Distribution of <i>MYD88</i> L265P allele fractions in samples from patients with familial Waldenström Macroglobulinemia prior to or after immortalization by EBV, and in lymphoblastoid lines derived from patients with lung cancer.
<p>Distribution of <i>MYD88</i> L265P allele fractions in samples from patients with familial Waldenström Macroglobulinemia prior to or after immortalization by EBV, and in lymphoblastoid lines derived from patients with lung cancer.</p
Distribution of p.Thr141Ile, p.Ser7Ser and p.Ser11Ser by race/ethnicity.
<p>Distribution of p.Thr141Ile, p.Ser7Ser and p.Ser11Ser by race/ethnicity.</p
Analysis of potentially pathogenic <i>ABRAXAS</i> in-frame deletion or rare missense substitutions.
<p>Analysis of potentially pathogenic <i>ABRAXAS</i> in-frame deletion or rare missense substitutions.</p
Distribution of <i>ABRAXAS</i> rare variants (<i>i</i>.<i>e</i>. with a minor allele frequency<1% in the Exome Variant Server (EVS)) identified in the BCFR.
<p>Distribution of <i>ABRAXAS</i> rare variants (<i>i</i>.<i>e</i>. with a minor allele frequency<1% in the Exome Variant Server (EVS)) identified in the BCFR.</p
p.Gly39val and p.Thr141Ile ABRAXAS mutants have defects in gamma-H2AX formation.
<p>(A) Typical DNA damage foci of ABRAXAS in shABRAXAS (shABX145) MCF7 cells complemented with ABRAXAS-HA-Flag, ABRAXAS-HA-Flag pThr141Ile, or ABRAXAS-HA-Flag pGly39Val. The anti-Flag antibody was used to monitor ABRAXAS foci formation (green), anti-gamma-H2AX (red) and the merge picture is depicted. In blue, DAPI staining. (B) Quantification of gamma-H2AX foci formation in MCF7 cells after neocarzinostatin treatment and release. P-values were obtained with a Wilcoxonâs Test with N = 100 cells from four independent experiments.</p
Stratified analyses of the common SNP rs13125836 (c. 1117G>A, p.Asp373Asn) on breast cancer risk in the BCFR.
<p>Stratified analyses of the common SNP rs13125836 (c. 1117G>A, p.Asp373Asn) on breast cancer risk in the BCFR.</p
ABRAXAS multiple-sequence alignment.
<p>Substitution designations are indicated above the corresponding human reference sequence residue. Amino acid symbols are colored to represent standard Dayhoff groupings.</p
Distribution of cases and controls by study center and by ethnicity in the BCFR.
<p>Distribution of cases and controls by study center and by ethnicity in the BCFR.</p
Revealing the Molecular Portrait of Triple Negative Breast Tumors in an Understudied Population through Omics Analysis of Formalin-Fixed and Paraffin-Embedded Tissues
<div><p>Triple negative breast cancer (TNBC), defined by the lack of expression of the estrogen receptor, progesterone receptor and human epidermal receptor 2, is an aggressive form of breast cancer that is more prevalent in certain populations, in particular in low- and middle-income regions. The detailed molecular features of TNBC in these regions remain unexplored as samples are mostly accessible as formalin-fixed paraffin embedded (FFPE) archived tissues, a challenging material for advanced genomic and transcriptomic studies. Using dedicated reagents and analysis pipelines, we performed whole exome sequencing and miRNA and mRNA profiling of 12 FFPE tumor tissues collected from pathological archives in Mexico. Sequencing analyses of the tumor tissues and their blood pairs identified <i>TP53</i> and <i>RB1</i> genes as the most frequently mutated genes, with a somatic mutation load of 1.7 mutations/exome Mb on average. Transcriptional analyses revealed an overexpression of growth-promoting signals (EGFR, PDGFR, VEGF, PIK3CA, FOXM1), a repression of cell cycle control pathways (TP53, RB1), a deregulation of DNA-repair pathways, and alterations in epigenetic modifiers through miRNA:mRNA network de-regulation. The molecular programs identified were typical of those described in basal-like tumors in other populations. This work demonstrates the feasibility of using archived clinical samples for advanced integrated genomics analyses. It thus opens up opportunities for investigating molecular features of tumors from regions where only FFPE tissues are available, allowing retrospective studies on the search for treatment strategies or on the exploration of the geographic diversity of breast cancer.</p></div
PAM50 classification of TNBC samples.
<p>The hierarchically-clustered normalized expression values of the PAM50 classifier genes is shown for the 12 triple negative breast cancers (TNBCs) analyzed and the five centroids. The samples were classified according to their correlation with the PAM50 centroids. Red and blue boxes represent overexpressed and down-regulated genes, respectively.</p