Slug/Pcad pathway controls epithelial cell dynamics in mammary gland and breast carcinoma.

Mammary gland morphogenesis results from the coordination of proliferation, cohort migration, apoptosis and stem/progenitor cell dynamics. We showed earlier that the transcription repressor Slug is involved in these functions during mammary tubulogenesis. Slug is expressed by a subpopulation of basal epithelial cells, co-expressed with P-cadherin (Pcad). Slug-knockout mammary glands showed excessive branching, similarly to Pcad-knockout. Here, we found that Slug unexpectedly binds and activates Pcad promoter through E-boxes, inducing Pcad expression. We determined that Pcad can mediate several functions of Slug: Pcad promoted clonal mammosphere growth, basal epithelial differentiation, cell-cell dissociation and cell migration, rescuing Slug depletion. Pcad also promoted cell migration in isolated cells, in association with Src activation, focal adhesion reorganization and cell polarization. Pcad, similarly to Slug, was required for in vitro 3D tubulogenesis. Therefore, Pcad appears to be responsible for epithelial-mesenchymal transition-linked plasticity in mammary epithelial cells. In addition, we found that genes from the Slug/Pcad pathway components were co-expressed and specifically correlated in human breast carcinomas subtypes, carrying pathophysiological significance.

Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype.

Breast cancer is the most common cancer in women worldwide and metastatic dissemination is the principal factor related to death by this disease. Breast cancer stem cells (bCSC) are thought to be responsible for metastasis and chemoresistance. In this study, based on whole transcriptome analysis from putative bCSC and reverse engineering of transcription control networks, we identified two networks associated with this phenotype. One controlled by SNAI2, TWIST1, BNC2, PRRX1 and TBX5 drives a mesenchymal or CSC-like phenotype. The second network is controlled by the SCML4, ZNF831, SP140 and IKZF3 transcription factors which correspond to immune response modulators. Immune response network expression is correlated with pathological response to chemotherapy, and in the Basal subtype is related to better recurrence-free survival. In patient-derived xenografts, the expression of these networks in patient tumours is predictive of engraftment success. Our findings point out a potential molecular mechanism underlying the balance between immune surveillance and EMT activation in breast cancer. This molecular mechanism may be useful to the development of new target therapies.

Retraction: miR-661 expression in SNAI1-induced epithelial to mesenchymal transition contributes to breast cancer cell invasion by targeting Nectin-1 and StarD10 messengers.

At the request of the University of Luxembourg and following an external investigation, the Editor and Publisher have agreed to retract this paper owing to unreliable data.

A refined molecular taxonomy of breast cancer.

The current histoclinical breast cancer classification is simple but imprecise. Several molecular classifications of breast cancers based on expression profiling have been proposed as alternatives. However, their reliability and clinical utility have been repeatedly questioned, notably because most of them were derived from relatively small initial patient populations. We analyzed the transcriptomes of 537 breast tumors using three unsupervised classification methods. A core subset of 355 tumors was assigned to six clusters by all three methods. These six subgroups overlapped with previously defined molecular classes of breast cancer, but also showed important differences, notably the absence of an ERBB2 subgroup and the division of the large luminal ER+ group into four subgroups, two of them being highly proliferative. Of the six subgroups, four were ER+/PR+/AR+, one was ER-/PR-/AR+ and one was triple negative (AR-/ER-/PR-). ERBB2-amplified tumors were split between the ER-/PR-/AR+ subgroup and the highly proliferative ER+ LumC subgroup. Importantly, each of these six molecular subgroups showed specific copy-number alterations. Gene expression changes were correlated to specific signaling pathways. Each of these six subgroups showed very significant differences in tumor grade, metastatic sites, relapse-free survival or response to chemotherapy. All these findings were validated on large external datasets including more than 3000 tumors. Our data thus indicate that these six molecular subgroups represent well-defined clinico-biological entities of breast cancer. Their identification should facilitate the detection of novel prognostic factors or therapeutical targets in breast cancer.

[Towards an inventory of oncogenic mutations in cancer]. / Vers un inventaire des mutations oncogéniques dans les cancers humains.

The discovery of oncogenes and tumor suppressors has established the original concept of cancer development based on a cascade of spontaneously occurring somatic mutations. It is now well known that genomes of cancer cells are deeply rearranged and that these rearrangements have devastating consequences on their organization and function. These rearrangements and their functional consequences are increasingly well characterized leading to the identification of numerous novel mutations, including a number of orphan mutations. The number of cancer genes has constantly been on the rise as a consequence of technological evolution. Starting from a couple of dozen founder genes, we are presently facing lists comprising several hundreds of genes. These correspond to genes affected by structural rearrangements or mutations, those modified at the epigenetic level and, more recently, miRNAs. The current challenge resulting from this brutal increase will be to sort out founder from passenger mutations and deduce the oncogenic cascades that correspond to each tumor phenotype.

miR-661 expression in SNAI1-induced epithelial to mesenchymal transition contributes to breast cancer cell invasion by targeting Nectin-1 and StarD10 messengers.

Epithelial to mesenchymal transition (EMT) is a key step toward metastasis. MCF7 breast cancer cells conditionally expressing the EMT master regulator SNAI1 were used to identify early expressed microRNAs (miRNAs) and their targets that may contribute to the EMT process. Potential targets of miRNAs were identified by matching lists of in silico predicted targets and of inversely expressed mRNAs. MiRNAs were ranked based on the number of predicted hits, highlighting miR-661, a miRNA with so far no reported role in EMT. MiR-661 was found required for efficient invasion of breast cancer cells by destabilizing two of its predicted mRNA targets, the cell-cell adhesion protein Nectin-1 and the lipid transferase StarD10, resulting, in turn, in the downregulation of epithelial markers. Reexpression of Nectin-1 or StarD10 lacking the 3'-untranslated region counteracted SNAI1-induced invasion. Importantly, analysis of public transcriptomic data from a cohort of 295 well-characterized breast tumor specimen revealed that expression of StarD10 is highly associated with markers of luminal subtypes whereas its loss negatively correlated with the EMT-related, basal-like subtype. Collectively, our non-a priori approach revealed a nonpredicted link between SNAI1-triggered EMT and the down-regulation of Nectin-1 and StarD10 through the up-regulation of miR-661, which may contribute to the invasion of breast cancer cells and poor disease outcome.

Lobular and ductal carcinomas of the breast have distinct genomic and expression profiles.

Invasive ductal carcinomas (IDCs) and invasive lobular carcinomas (ILCs) are the two major pathological types of breast cancer. Epidemiological and histoclinical data suggest biological differences, but little is known about the molecular alterations involved in ILCs. We undertook a comparative large-scale study by both array-compared genomic hybridization and cDNA microarray of a set of 50 breast tumors (21 classic ILCs and 29 IDCs) selected on homogeneous histoclinical criteria. Results were validated on independent tumor sets, as well as by quantitative RT-PCR. ILCs and IDCs presented differences at both the genomic and expression levels with ILCs being less rearranged and heterogeneous than IDCs. Supervised analysis defined a 75-BACs signature discriminating accurately ILCs from IDCs. Expression profiles identified two subgroups of ILCs: typical ILCs ( approximately 50%), which were homogeneous and displayed a normal-like molecular pattern, and atypical ILCs, more heterogeneous with features intermediate between ILCs and IDCs. Supervised analysis identified a 75-gene expression signature that discriminated ILCs from IDCs, with many genes involved in cell adhesion, motility, apoptosis, protein folding, extracellular matrix and protein phosphorylation. Although ILCs and IDCs share common alterations, our data show that ILCs and IDCs could be distinguished on the basis of their genomic and expression profiles suggesting that they evolve along distinct genetic pathways.

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.

Chordin is underexpressed in ovarian tumors and reduces tumor cell motility.

Ovarian cancers mostly derive from the monolayer epithelium that covers the ovary. There are currently very few molecular clues to the etiology of this cancer. Bone morphogenetic proteins (BMPs) are required for follicular development and female fertility and are expressed in the ovarian surface epithelium (OSE). We previously reported the expression of human chordin (CHRD), a BMP extracellular regulator, in the ovary. Here we show that CHRD is underexpressed in epithelium ovary cancer and epithelial cancer cell lines as compared with normal tissues and OSE, respectively. Besides, we detected BMP expression in all ovarian cell lines analyzed. To determine the functional relevance of the absence of CHRD mRNA in tumors and cancer cell lines, we studied the effects of CHRD on two cancer cell lines, BG1 and PEO14. Migratory and invasive properties were greatly reduced, whereas cell adhesion to the support was enhanced. In addition, we detected chordin (Chrd) expression in OSE of rat ovaries in a pattern similar to that of BMP4. Altogether, these results suggest that CHRD could participate in regulating BMP activity in normal OSE physiology, and that its mis-expression in OSE may facilitate cancer incidence and/or progression.

Estrogen regulation in human breast cancer cells of new downstream gene targets involved in estrogen metabolism, cell proliferation and cell transformation.

We explored, by cDNA mini-arrays, gene expression measurements of MVLN, a human breast carcinoma cell line derived from MCF-7, after 4 days of exposure to 17beta-estradiol (E(2)) treatment, in order to extend our understanding of the mechanism of the pharmacological action of estrogens. We focused on 22 genes involved in estrogen metabolism, cell proliferation regulation and cell transformation. The specificity of the E(2) response was reinforced by comparison with 4-hydroxytamoxifen (OH-Tam), ICI 182,780 and E(2)+OH-Tam expression profiles. Real-time quantitative PCR (RTQ-PCR) confirmed the variation of expression of known (TFF1, AREG, IRS1, IGFBP4, PCNA, ERBB2, CTSD, MYC) as well as novel (DLEU2, CCNA2, UGT1A1, ABCC3, ABCC5, TACC1, EFNA1, NOV, CSTA, MMP15, ZNF217) genes. The temporal response of these gene expression regulations was then investigated after 6 and 18 h of E(2) treatment and this allowed the identification of different time-course patterns. Cycloheximide treatment studies indicated first that estrogen affected the transcript levels of ABCC3 and ABCC5 through dissimilar pathways, and secondly that protein synthesis was needed for modulation of the expression of the CCNA2 and TACC1 genes by estrogens. Western blot analysis performed on TFF1, IRS1, IGFBP4, amphiregulin, PCNA, cyclin A2, TACC1 and ABCC5 proteins confirmed the mini-array and RTQ-PCR data, even for genes harboring low variations of mRNA expression. Our findings should enhance the understanding of changes induced by E(2) on the transcriptional program of human E(2)-responsive cells and permit the identification of new potential diagnostic/prognostic tools for the monitoring of estrogen-related disease conditions such as breast cancer.

Distinct prevalence of the CYP19 Delta3(TTTA)(7) allele in premenopausal versus postmenopausal breast cancer patients, but not in control individuals.

The CYP19 gene encodes the enzyme aromatase, which plays a key role in the conversion of androgens to oestrogens. A polymorphism in CYP19 in intron 4 (TTTA)n has been reported to be associated with breast cancer (BC) risk, although conflicting evidence has also been published. Here, we employ a non-traditional, highly demonstrative design of a molecular epidemiological study, where the comparison of BC cases and healthy middle-aged female donors was supplemented by an analysis of groups with extreme characteristics of either BC risk (bilateral breast cancer (biBC) patients) or cancer tolerance (tumour-free elderly women aged >or=75 years). None of the (TTTA)n polymorphic variants was significantly overrepresented among the affected women compared with any of the control groups. However, a 3-bp deletion/insertion CYP19 polymorphism, which is located in the same intron approximately 50 bp upstream to the (TTTA)n repeat, was evidently associated with the menopausal status in both the BC and biBC cohorts. In particular, the Delta3(TTTA)(7) allele occurred significantly more frequently in premenopausal than in postmenopausal BC patients (65/172 (38%) versus 67/310 (22%); P=0.0001; Odds Ratio (OR)=2.20 (95% Confidence Interval (CI) 1.46-3.32)), while the perimenopausal cases demonstrated an intermediate value (9/34 (26%)). In the biBC cohort, women who developed both tumours during their premenopausal period had a significantly higher prevalence of the Delta3(TTTA)(7) allele than patients with a postmenopausal onset of bilateral disease (16/46 (35%) versus 8/50 (16%); P=0.035; OR=2.80 (1.08-7.23)); those biBC patients, whose tumours were diagnosed before and after the cessation of menses, displayed an intermediate occurrence of the Delta3(TTTA)(7) allele (7/32 (22%)). Similar tendencies in the Delta3(TTTA)(7) allele distribution in BC and biBC patients suggest that its association with the menopausal status of the patients is truly non-random and thus this observation deserves further detailed investigation.

[Genomic profiling: from molecular cytogenetics to DNA arrays]. / Le typage génomique: de la cytogénétique moléculaire aux puces á ADN.

Genetic instability results, in a large majority of solid tumors, in deep chromosomal rearrangements. However, because chromosomal instability produces highly complex caryotypes, rarely showing stereotypic aberrations, it has not been possible to characterize solid cancers according to specific patterns of chromosomal rearrangements. This contrasts with the situation in hematological malignancies, where cytogenetics has allowed to lay out the basis of a renewed classification. New insights have been brought by the development of comparative genomic hybridization (CGH). This molecular cytogenetics approach was originally devised to detect regions in the genome of tumor cells undergoing quantitative changes, i.e. gains or losses of copy numbers. The large body of studies based on CGH show that solid tumors undergo frequent gains and losses and that every chromosomes show at least one region of anomaly. Furthermore, different tumor types present distinct CGH patterns of gains and losses. These observations favor the idea that it may be possible to type human solid cancers according to their patterns of genomic aberrations. However, despite the fact that a number of CGH based studies present data suggesting that different tumor types or cancers at different stages of evolution show distinct patterns of gains and losses, it has proven difficult to be conclusive. This can be mainly attributed to the lack of spatial resolution of CGH. Indeed, CGH uses metaphase chromosomes as hybridization targets and therefore its resolution is at the level of chromosomal banding. The recent adaptation of DNA array technology to CGH will allow to pass this limitation. In DNA array based CGH (array-CGH) metaphase chromosomes have been replaced by spots of cloned DNA. These DNA clones may either be genomic (BACs, YACs or cosmids) or coding (cDNAs). The resolution of array-CGH is therefore determined by the size of the cloned DNA insert (100 Kb for BACs, 1-2 kb for cDNAs). Data corresponding to each of these clones is or will be in a near future linked to DNA sequence data. Hence, in a near future, array-CGH will allow to increase the resolution from a cytogenetic level to a molecular level. Finally, because array technology is highly adaptable to automation, going from classical CGH to array-CGH will produce a quantum leap in throughput.

Molecular cytogenetic analysis of breast cancer cell lines.

The extensive chromosome rearrangements of breast carcinomas must contribute to tumour development, but have been largely intractable to classical cytogenetic banding. We report here the analysis by 24-colour karyotyping and comparative genomic hybridization (CGH) of 19 breast carcinoma cell lines and one normal breast epithelial cell line, which provide model examples of karyotype patterns and translocations present in breast carcinomas. The CGH was compared with CGH of 106 primary breast cancers. The lines varied from perfectly diploid to highly aneuploid. Translocations were very varied and over 98% were unbalanced. The most frequent in the carcinomas were 8;11 in five lines; and 8;17, 1;4 and 1;10 in four lines. The most frequently involved chromosome was 8. Several lines showed complex multiply-translocated chromosomes. The very aneuploid karyotypes appeared to fall into two groups that evolved by different routes: one that steadily lost chromosomes and at one point doubled their entire karyotype; and another that steadily gained chromosomes, together with abnormalities. All karyotypes fell within the range seen in fresh material and CGH confirmed that the lines were broadly representative of fresh tumours. The karyotypes provide a resource for the cataloguing and analysis of translocations in these tumours, accessible at http://www.path.cam.ac.uk/ approximately pawefish.

CYP17 polymorphism in the groups of distinct breast cancer susceptibility: comparison of patients with the bilateral disease vs. monolateral breast cancer patients vs. middle-aged female controls vs. elderly tumor-free women.

The CYP17 gene encodes an enzyme involved in several critical steps of steroidogenesis. The promoter region of the CYP17 displays a single-nucleotide polymorphism, which is suspected to modulate the expression of the gene and thus may contribute in the interindividual variations of hormonal background. In agreement with this functional hypothesis, the MspA1+ allele (designated as A2) of the CYP17 was shown to render an increased risk of breast cancer (BC). However, the latter observation was disputed by a series of negative reports. Here, we re-evaluated the role of CYP17 MspA1 polymorphism in the BC susceptibility, using a non-traditional design of a case-control study. In addition to randomly selected 183 BC patients and 107 female middle-aged donors, we examined the groups with apparently extreme characteristics of either BC risk or BC resistance, namely the 57 bilateral breast cancer (biBC) patients and 75 elderly (>/=75 years old) tumor-free women. Neither BC nor biBC patients showed increased prevalence of 'unfavorable' A2 allele as compared with the non-affected cohorts. Moreover, the A2 variant was not significantly associated with the tumor size, nodal involvement and menopausal status in the patients either with the monolateral or bilateral disease. Thus, our data argue against the earlier reported role of the CYP17 in BC predisposition and progression. In addition, usual distribution of the CYP17 alleles in the elderly group indicates a neutral effect of this polymorphism on the longevity in females.

Evidence for microsatellite instability in bilateral breast carcinomas.

The molecular pathogenesis of various categories of breast cancer (BC) has been well described, but surprisingly few reports have appeared on analysis of somatic mutations in bilateral BC. We have performed a polymerase chain reaction (PCR)-driven investigation of chromosomal regions showing common loss of heterozygosity (LOH) in 23 cases (46 tumors) from patients diagnosed with bilateral BC. LOH was observed in 15/46 (33%) informative tumors for chromosome 1p, 5/32 (16%) for 5q, 12/44 (27%) for 11q, 15/40 (38%) for 13q and 4/24 (17%) for 17p. These values are within the range of interlaboratory variations reported for unilateral BC. There was no strong evidence for concordance of LOH within the same patient for any of the chromosomal loci tested. Atypical for breast carcinomas, 7/46 (15%) tumors accumulated a high frequency (ranging from 11 to 29%) of shortened dinucleotide CA repeats, implying microsatellite instability (MI). Further analysis with the highly informative BAT-26 marker allowed for the classification of two of these tumors as having a replication error positive (RER(+)/MSI-H) phenotype, whereas the remaining five carcinomas harbored so-called borderline MI. Thus an involvement of both RER(+) and borderline MI appears to be a distinct feature of bilateral breast carcinomas compared to unilateral lesions.

Human E2F5 gene is oncogenic in primary rodent cells and is amplified in human breast tumors.

E2F transcription factors (E2F1 to 6) are central players in the control of animal cell proliferation as regulators of genes involved in cell cycle progression and in transformation. In this report, we have investigated the potential involvement of the E2F5 gene in tumorigenesis. We show that E2F5 can promote the formation of morphologically transformed foci in primary baby rat kidney cells (BRK) when it is overexpressed in the presence of its heterodimeric partner DP1 and activated RAS. This suggests that E2F5 behaves like a MYC-type cooperating oncogene in functional assays, prompting us to monitor potential amplifications of the E2F5 gene in primary human tumors. We mapped the human E2F5 gene to 8q21.1-21.3 equidistant from the MOS (8q12) and MYC (8q24) oncogenes. Since the long arm of chromosome 8 is frequently the site of increased gene copy number (ICN) in breast cancer, we screened 442 breast tumor DNAs for gains of E2F5, MOS, and MYC genes. The three genes showed ICN, albeit at variable incidence and levels of amplification, with the ICN of E2F5 occurring concomitantly with those of MOS and/or MYC in almost half of the cases. Moreover, a marked increase of the 2. 5-kb E2F5 transcript was also detected in some tumors and tumor cell lines. In conclusion, the evidence that sustained unregulated expression of E2F5 can cooperate with other oncogenes to promote cell transformation in functional assays, together with the detection of chromosomal amplifications and overexpressions of the E2F5 gene in breast tumors, provides the first indications that E2F5 deregulation may have a role in human tumor development.

Relating genotype and phenotype in breast cancer: an analysis of the prognostic significance of amplification at eight different genes or loci and of p53 mutations.

Breast cancer heterogeneity can be related directly to its variability at the genetic level. Thus, tumor genotyping could be a valuable approach to define breast tumor subtypes. It has been shown that it is possible to delineate subgroups of breast tumors according to specific sets of DNA amplifications. The aim of the present work was to study the prognostic significance of these DNA amplifications. We studied DNA amplification at eight genes or loci (AIB1, CCND1, EMS1, ERBB2, FGFR1, MDM2, MYC, and RMC20C001) as well as p53 mutations in a series of 640 breast cancer patients who had not received presurgical therapy and analyzed the correlations with survival DNA amplification was assessed by Southern blotting and was scored positive when exceeding three to five copies. Mutations in the p53 gene were searched by four-color fluorescent single. strand conformational polymorphism, using an automated sequencer. Of the nine genetic alterations tested, four (CCND1, EMS1, FGFR1, and p53 mutations) showed a significant association with reduced disease-free (DFS) and/or overall survival (OVS) in the unselected set of patients by univariate test. Correlations for p53 were found only when selecting mutations in exons 5 or 7. Analysis of node-negative and -positive subgroups of patients showed that MDM2 amplification and p53 mutations bore prognostic significance in node-negative patients, whereas amplification of CCND1, EMS1, and FGFR1 correlated with poor outcome in node-positive patients. Multivariate analysis on an unselected set of patients retained significance for the amplification of EMS1, FGFR1, and MDM2 with DFS, of CCND1 with OVS, and of RMC20C001 with both DFS and OVS. Interestingly, stratified analysis according to nodal status confirmed results obtained in the univariate tests: significance of MDM2 amplification and p53 mutations in node-negative and that of CCND1, EMS1, and FGFR1 in node-positive patients. We also observed an association between the number of genetic alterations observed in a tumor and poor prognosis. Patients with two or more amplified loci had a worsened outcome. Strongly correlating coamplifications such as CCND1 and FGFR1, as well as ERBB2 and MYC, were associated with a significant reduction of patient survival, thus indicating cooperative effects. Our data support the idea that genetic alterations in breast cancer are not only helpful for phenotyping purposes, but can also represent powerful prognostic indicators in the clinical practice.

Stable amino-acid sequence of the mannose-6-phosphate/insulin-like growth-factor-II receptor in ovarian carcinomas with loss of heterozygosity and in breast-cancer cell lines.

The mannose-6-phosphate/insulin-like growth factor 2 receptor (Man-6-P/IGFII receptor) is involved in lysosomal enzyme sorting, IGFII degradation and pro-TGFbeta activation. Genetic alterations in hepatocarcinomas and a few breast cancers suggest that this receptor behaves as a tumor suppressor. Moreover, hypersecretion and Man-6-P-independent targeting of cathepsins in breast and ovarian carcinomas also suggest alterations in this receptor. We studied the Man-6-P/IGFII receptor gene in 8 ovarian carcinomas, and 4 breast- and ovarian-cancer cell lines. The results confirmed a frequent loss of heterozygosity (LOH) in the 6q27-qter region in 5 out of 8 ovarian carcinomas. We used 23 overlapping RT-PCR fragments to sequence the whole coding region of the Man-6-P/IGFII receptor. The 2491 amino-acid sequence of this receptor was perfectly conserved in 9 out of 10 of our samples, including MCF7 and MDA-MB231 cells and 5 ovarian carcinomas with LOH. This allowed us to rectify the 2 previously published sequences which differed in several bases, and to propose a consensus amino-acid sequence. The only amino-acid change (Thr --> Ala) was in BG1 ovarian-cancer cells, and was due to an A-to-G substitution on one allele at nucleotide 2561. We found no bi-allelic alterations in the 9 ovarian carcinomas, but 3 silent nucleotide substitutions leading to a lower cordon usage in 2 ovarian carcinomas with LOH. No mutation of the Man-6-P/IGFII receptor coding sequence was found in breast-cancer cell lines to explain the cathepsin-D hypersecretion and Man-6-P-independent trafficking described. We propose that, in breast and ovarian cancers, the frequent loss of one allele, associated with over-expression of some of its ligands, might be sufficient to saturate the receptor protein, displace the ligands to other sites, and consequently facilitate tumor progression.

At least five regions of imbalance on 6q in breast tumors, combining losses and gains.

The long arm of chromosome 6 is frequently rearranged in human cancer. In breast cancer, allelotyping studies have indicated the existence of three to four distinct regions of allelic imbalance. Chromosome transfer studies have shown the presence of several growth inhibiting or senescence promoting genes in the segment between 6q13 and 6q27. Moreover, results from comparative genomic hybridization (CGH) analyses have indicated that 6q was indeed a site of chromosomal losses, but that it was also involved in a substantial number of gains. In the present work, we allelotyped 178 pairs of breast tumor and normal tissue DNAs using 30 CA repeat markers from the Genethon collection. Seventy-six percent of the tumors in our panel displayed allelic imbalance (AI) of at least one locus, but patterns of AI could be complex. Whereas 11 tumors showed AI at all markers tested, 57 presented zebra profiles, and 28 showed AI at one site only. We characterized five distinct domains of AI defined, from centromere to telomere, by D6S300 (domain 1), D6S434 (domain 2), D6S261 (domain 3), D6S314-D6S409 (domain 4), and D6S441-D6S415 (domain 5). Some of the domains could be narrowed down to intervals of 1cM or less. We performed CGH analysis on a subset of 34 tumors presenting AI of variable extent at 6q. In 10/34 tumors, CGH did not reveal any anomaly on 6q. Most of these presented AI on short intervals, thus being below the detection threshold by CGH. Of the remaining 24 tumors presenting anomalies by CGH, 11 presented gains involving all or portions of 6q and 15 losses (2 presented combined losses and gains). By CGH, the 6q21-22 region was most commonly involved in gains, whereas 6q13-14 and 6q25-27 were frequently lost. Thus, allelic imbalances on 6q can either represent a gain or a loss depending on the region involved. Genes Chromosomes Cancer 27:76-84, 2000.