Blood contains circulating cell-free respiratory competent mitochondria

Mitochondria are considered as the power-generating units of the cell due to their key role in energy metabolism and cell signaling. However, mitochondrial components could be found in the extracellular space, as fragments or encapsulated in vesicles. In addition, this intact organelle has been recently reported to be released by platelets exclusively in specific conditions. Here, we demonstrate for the first time, that blood preparation with resting platelets, contains whole functional mitochondria in normal physiological state. Likewise, we show, that normal and tumor cultured cells are able to secrete their mitochondria. Using serial centrifugation or filtration followed by polymerase chain reaction-based methods, and Whole Genome Sequencing, we detect extracellular full-length mitochondrial DNA in particles over 0.22 µm holding specific mitochondrial membrane proteins. We identify these particles as intact cell-free mitochondria using fluorescence-activated cell sorting analysis, fluorescence microscopy, and transmission electron microscopy. Oxygen consumption analysis revealed that these mitochondria are respiratory competent. In view of previously described mitochondrial potential in intercellular transfer, this discovery could greatly widen the scope of cell-cell communication biology. Further steps should be developed to investigate the potential role of mitochondria as a signaling organelle outside the cell and to determine whether these circulating units could be relevant for early detection and prognosis of various diseases.

Genomic Markers for Ovarian Cancer at Chromosomes 1, 8 and 17 Revealed by Array CGH Analysis

Aims and background

The literature data show that the most frequently affected chromosomes in ovarian carcinogenesis are 1, 8 and 17. In the present study we aimed to define more precisely at a high resolution the genomic imbalances of these chromosomes in ovarian cancer and to determine genomic markers separating tumors of different histological types and stages.

Methods

Array comparative genomic hybridization (CGH) with a resolution of ≈0.8 Mb was applied in 28 primary ovarian tumors. We identified regions of highly frequent gains or losses (affecting more than 40% of ovarian cancers) and determined sites showing alterations of elevated amplitude (amplifications or homozygous deletions). Doing this we also identified at least two adjacent changed clones.

Results

We determined anomalies strongly associated with the disease such as deletions at 8p21-23, 17p12-13, 1p35-36 or amplifications at 1q23, 17q12, 17q23.2, 8q13.2, 8q24. We defined more precisely the gains in 17q12–q24, finding as strong candidates for ovarian tumorigenesis the genes LASP1 (17q12), TGF11 (17q21.32), MUL (17q23.2), TBX2 (17q23.2), AXIN2 (17q24.3) and GRB2 (17q25.1). Of particular note was gain of 8q13.2, which occurred at a high frequency in ovarian cancer, especially in serous and late-stage tumors. We found that gains of 1q32-1q43, 8p11-p12, 8q11.23, 8q13.2, and 8q24.21-8q24.22 and losses of 1p36.21, 8p23.1-8p21.1 and 8q21.2 were associated with serous histology, whereas losses of 1q23 and 1q32-43 and gains of 17q11.2-12 and 17q25 were associated with mucinous histology. Gains of 1q23, 8q24, 17q23.2, 17q24.2 and losses of 1p35-36, 8p, 17p, and 17q were specific for late-stage ovarian cancers.

Conclusions

Our study has identified potential genomic markers of interest on chromosomes 1, 8 and 17 in ovarian cancer. Tumors showed a wide variety in the patterns of alteration, suggesting that alternative mechanisms of genomic instability may play a role in this tumor type.

TOM1L1 drives membrane delivery of MT1-MMP to promote ERBB2-induced breast cancer cell invasion

ERBB2 overexpression in human breast cancer leads to invasive carcinoma but the mechanism is not clearly understood. Here we report that TOM1L1 is co-amplified with ERBB2 and defines a subgroup of HER2⁺/ER⁺ tumours with early metastatic relapse. TOM1L1 encodes a GAT domain-containing trafficking protein and is a SRC substrate that negatively regulates tyrosine kinase signalling. We demonstrate that TOM1L1 upregulation enhances the invasiveness of ERBB2-transformed cells. This pro-tumoural function does not involve SRC, but implicates membrane-bound membrane-type 1 MMP (MT1-MMP)-dependent activation of invadopodia, membrane protrusions specialized in extracellular matrix degradation. Mechanistically, ERBB2 elicits the indirect phosphorylation of TOM1L1 on Ser321. The phosphorylation event promotes GAT-dependent association of TOM1L1 with the sorting protein TOLLIP and trafficking of the metalloprotease MT1-MMP from endocytic compartments to invadopodia for tumour cell invasion. Collectively, these results show that TOM1L1 is an important element of an ERBB2-driven proteolytic invasive programme and that TOM1L1 amplification potentially enhances the metastatic progression of ERBB2-positive breast cancers.

ERBB2 overexpression in human breast cancer leads to invasion and metastasis. Here the authors report that ERBB2 induces indirect phosphorylation of TOM1L1 that promotes trafficking of the metalloprotease MT1-MMP to invadopodia, which leads to tumour cell invasion.

Breast tumor PDXs are genetically plastic and correspond to a subset of aggressive cancers prone to relapse

Patient derived xenografts (PDXs) are increasingly appreciated models in cancer research, particularly for preclinical testing, as they reflect the patient's tumor biology more accurately than cancer cell lines. We have established a collection of 20 breast PDXs and characterized their biological and clinical features, as well as their genetic stability. While most PDXs originated from triple negative breast cancers (70%), our collection comprised five ER + cases (25%). Remarkably, the tumors that produced PDXs derived from a subset of aggressive breast cancers with a high proportion of grade 3 tumors and reduced recurrence-free survival. Consistent with this, we found significant differences between the transcriptomic signatures of tumors that produced a PDX (Take) and those that did not (No Take). The PDXs faithfully recapitulate the histological features of their primary tumors, and retain an excellent conservation of molecular classification assignment and Copy Number Change (CNC). Furthermore, the CNC profiles of different PDXs established from the same tumor overlap significantly. However, a small fraction of CNCs in the primary tumor that correspond to oligoclonal events were gradually lost during sequential passaging, suggesting that the PDXs' genetic structure eventually stabilizes around a dominant clone present in the tumor of origin. Finally, de novo occurring genetic events covering up to 9% of the genome were found in only a minority of the PDXs, showing that PDXs have limited genetic instability. These data show that breast cancer PDXs represent a subset of aggressive tumors prone to relapse, and that despite of an excellent conservation of original features, they remain genetically dynamic elements.

Impact of chromosomal instability on colorectal cancer progression and outcome

Background

It remains presently unclear whether disease progression in colorectal carcinoma (CRC), from early, to invasive and metastatic forms, is associated to a gradual increase in genetic instability and to a scheme of sequentially occurring Copy Number Alterations (CNAs).

Methods

In this work we set to determine the existence of such links between CRC progression and genetic instability and searched for associations with patient outcome. To this aim we analyzed a set of 162 Chromosomal Instable (CIN) CRCs comprising 131 primary carcinomas evenly distributed through stage 1 to 4, 31 metastases and 14 adenomas by array-CGH. CNA profiles were established according to disease stage and compared. We, also, asked whether the level of genomic instability was correlated to disease outcome in stage 2 and 3 CRCs. Two metrics of chromosomal instability were used; (i) Global Genomic Index (GGI), corresponding to the fraction of the genome involved in CNA, (ii) number of breakpoints (nbBP).

Results

Stage 1, 2, 3 and 4 tumors did not differ significantly at the level of their CNA profiles precluding the conventional definition of a progression scheme based on increasing levels of genetic instability. Combining GGI and nbBP,we classified genomic profiles into 5 groups presenting distinct patterns of chromosomal instability and defined two risk classes of tumors, showing strong differences in outcome and hazard risk (RFS: p = 0.012, HR = 3; OS: p < 0.001, HR = 9.7). While tumors of the high risk group were characterized by frequent fractional CNAs, low risk tumors presented predominantly whole chromosomal arm CNAs. Searching for CNAs correlating with negative outcome we found that losses at 16p13.3 and 19q13.3 observed in 10% (7/72) of stage 2–3 tumors showed strong association with early relapse (p < 0.001) and death (p < 0.007, p < 0.016). Both events showed frequent co-occurrence (p < 1x10-8) and could, therefore, mark for stage 2–3 CRC susceptible to negative outcome.

Conclusions

Our data show that CRC disease progression from stage 1 to stage 4 is not paralleled by increased levels of genetic instability. However, they suggest that stage 2–3 CRC with elevated genetic instability and particularly profiles with fractional CNA represent a subset of aggressive tumors.

Genetic profiling of chromosome 1 in breast cancer: mapping of regions of gains and losses and identification of candidate genes on 1q

Chromosome 1 is involved in quantitative anomalies in 50-60% of breast tumours. However, the structure of these anomalies and the identity of the affected genes remain to be determined. To characterise these anomalies and define their consequences on gene expression, we undertook a study combining array-CGH analysis and expression profiling using specialised arrays. Array-CGH data showed that 1p was predominantly involved in losses and 1q almost exclusively in gains. Noticeably, high magnitude amplification was infrequent. In an attempt to fine map regions of copy number changes, we defined 19 shortest regions of overlap (SROs) for gains (one at 1p and 18 at 1q) and of 20 SROs for losses (all at 1p). These SROs, whose sizes ranged from 170 kb to 3.2 Mb, represented the smallest genomic intervals possible based on the resolution of our array. The elevated incidence of gains at 1q, added to the well-established concordance between DNA copy increase and augmented RNA expression, made us focus on gene expression changes at this chromosomal arm. To identify candidate oncogenes, we studied the RNA expression profiles of 307 genes located at 1q using a home-made built cDNA array. We identified 30 candidate genes showing significant overexpression correlated to copy number increase. In order to substantiate their involvement, RNA expression levels of these candidate genes were measured by quantitative (Q)-RT-PCR in a panel of 25 breast cancer cell lines previously typed by array-CGH. Q-PCR showed that 11 genes were significantly overexpressed in the presence of a genomic gain in these cell lines, and 20 overexpressed when compared to normal breast.

Comprehensive Profiling of 8p11-12 Amplification in Breast Cancer

In human carcinomas, especially breast cancer, chromosome arm 8p is frequently involved in complex chromosomal rearrangements that combine amplification at 8p11-12, break in the 8p12-21 region, and loss of 8p21-ter. Several studies have identified putative oncogenes in the 8p11-12 amplicon. However, discrepancies and the lack of knowledge on the structure of this amplification lead us to think that the actual identity of the oncogenes is not definitively established. We present here a comprehensive study combining genomic, expression, and chromosome break analyses of the 8p11-12 region in breast cell lines and primary breast tumors. We show the existence of four amplicons at 8p11-12 using array comparative genomic hybridization. Gene expression analysis of 123 samples using DNA microarrays identified 14 genes significantly overexpressed in relation to amplification. Using fluorescence in situ hybridization analysis on tissue microarrays, we show the existence of a cluster of breakpoints spanning a region just telomeric to and associated with the amplification. Finally, we show that 8p11-12 amplification has a pejorative effect on survival in breast cancer.

Genomic and Expression Profiling of Chromosome 17 in Breast Cancer Reveals Complex Patterns of Alterations and Novel Candidate Genes

Chromosome 17 is severely rearranged in breast cancer. Whereas the short arm undergoes frequent losses, the long arm harbors complex combinations of gains and losses. In this work we present a comprehensive study of quantitative anomalies at chromosome 17 by genomic array-comparative genomic hybridization and of associated RNA expression changes by cDNA arrays. We built a genomic array covering the entire chromosome at an average density of 1 clone per 0.5 Mb, and patterns of gains and losses were characterized in 30 breast cancer cell lines and 22 primary tumors. Genomic profiles indicated severe rearrangements. Compiling data from all samples, we subdivided chromosome 17 into 13 consensus segments: 4 regions showing mainly losses, 6 regions showing mainly gains, and 3 regions showing either gains or losses. Within these segments, smallest regions of overlap were defined (17 for gains and 16 for losses). Expression profiles were analyzed by means of cDNA arrays comprising 358 known genes at 17q. Comparison of expression changes with quantitative anomalies revealed that about half of the genes were consistently affected by copy number changes. We identified 85 genes overexpressed when gained (39 of which mapped within the smallest regions of overlap), 67 genes underexpressed when lost (32 of which mapped to minimal intervals of losses), and, interestingly, 32 genes showing reduced expression when gained. Candidate genes identified in this study belong to very diverse functional groups, and a number of them are novel candidates.