Expression data from invasive lobular carcinoma
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE88770 | GEO | 2016/10/15
SECONDARY ACCESSION(S): PRJNA348530
REPOSITORIES: GEO
Similar Datasets
Project description:Genomic Grade Index (GGI) is a 97-gene signature that improves histologic grade (HG) classification in invasive breast carcinoma. In this prospective study we sought to evaluate the feasibility of performing GGI in routine clinical practice and its impact on treatment recommendations. Patients with pT1pT2 or operable pT3, N0-3 invasive breast carcinoma were recruited from 8 centers in Belgium. Fresh surgical samples were sent at room temperature in the MapQuant Dx™ PathKit for centralized genomic analysis. Genomic profiles were determined using Affymetrix U133 Plus 2.0 and GGI calculated using the MapQuant Dx™ protocol, which defines tumors as low or high Genomic Grade (GG-1 and GG-3 respectively). 180 pts were recruited and 155 were eligible. The MapQuant test was performed in 142 cases and GGI was obtained in 78% of cases (n=111). Reasons for failures were 15 samples with <30% of invasive tumor cells (11%), 15 with insufficient RNA quality (10%), and 1 failed hybridization (<1%). For tumors with an available representative sample (≥ 30% inv. tumor cells) (n=127), the success rate was 87.5 %. GGI reclassified 69% of the 54 HG2 tumors as GG-1 (54%) or GG-3 (46%). Changes in treatment recommendations occurred mainly in the subset of HG2 tumors reclassified into GG-3, with increased use of chemotherapy in this subset. The use of GGI is feasible in routine clinical practice and impacts treatment decisions in early-stage breast cancer.
2013-06-03 | GSE43365 | GEO
Project description:Genomic Grade Index (GGI) is a 97-gene signature that improves histologic grade (HG) classification in invasive breast carcinoma. In this prospective study we sought to evaluate the feasibility of performing GGI in routine clinical practice and its impact on treatment recommendations. Patients with pT1pT2 or operable pT3, N0-3 invasive breast carcinoma were recruited from 8 centers in Belgium. Fresh surgical samples were sent at room temperature in the MapQuant DxM-bM-^DM-" PathKit for centralized genomic analysis. Genomic profiles were determined using Affymetrix U133 Plus 2.0 and GGI calculated using the MapQuant DxM-bM-^DM-" protocol, which defines tumors as low or high Genomic Grade (GG-1 and GG-3 respectively). 180 pts were recruited and 155 were eligible. The MapQuant test was performed in 142 cases and GGI was obtained in 78% of cases (n=111). Reasons for failures were 15 samples with <30% of invasive tumor cells (11%), 15 with insufficient RNA quality (10%), and 1 failed hybridization (<1%). For tumors with an available representative sample (M-bM-^IM-% 30% inv. tumor cells) (n=127), the success rate was 87.5 %. GGI reclassified 69% of the 54 HG2 tumors as GG-1 (54%) or GG-3 (46%). Changes in treatment recommendations occurred mainly in the subset of HG2 tumors reclassified into GG-3, with increased use of chemotherapy in this subset. The use of GGI is feasible in routine clinical practice and impacts treatment decisions in early-stage breast cancer. Total RNA was extracted from fresh tumor tissues comprising M-bM-^IM-%30% invasive tumor cells and hybridized on Affymetrix microarrays if the RIN was M-bM-^IM-% 7.
2013-06-03 | E-GEOD-43365 | biostudies-arrayexpress
Project description:Invasive lobular carcinoma (ILC) is the second most common histological subtype of breast cancer accounting for 10-15% of cases. ILC differs from invasive ductal carcinoma (IDC)with respect to epidemiology, histology, and clinical presentation. Moreover, ILC is less
sensitive to chemotherapy, more frequently bilateral, and more prone to form gastrointestinal, peritoneal, and ovarian metastases than IDCs. In contrast to IDC, the prognostic value of
histological grade (HG) in ILC is controversial. One of the three major components of histological grading (tubule formation) is missing in ILC which hinders the process of grading
in this histological subtype and results in the classification of approximately two thirds of ILC as HG 2.
Over the last decade, a number of gene expression signatures have shed light onto breast cancer classification, allowing breast cancer care to become more personalized. With
respect to the management of estrogen receptor (ER)-positive breast cancer, several gene expression signatures provide prognostic and/or predictive information beyond what is possible with current classical clinico-pathological parameters alone. Nevertheless, most studies using gene expression signature have not considered different histologic subtypes
separately. Recently, a comprehensive research program has elucidated some of the biological underpinnings of invasive lobular carcinoma. Genetic material extracted from 200 ILC tumor samples were studied using gene expression profiling and identified ILC
molecular subtypes. These proliferation-driven gene signatures of ILC appear to have prognostic significance. In particular, the Genomic Grade (GG) gene signature improved upon HG in ILC and added prognostic value to classic clinico-pathologic factors. In addition this study demonstrated that most ILC are molecularly characterized as luminal-A (~75%)followed by luminal-B (~20%) and HER2-positve tumors (~5%). Moreover, we investigated the prognostic value of known gene signatures/ gene modules in the same cohort of ILC. As a second step within the scope of this project, we aim to investigate the interactions
between somatic ILC tumor mutations to observed transcriptome findings. To this end, we aim to perform somatic mutation analysis for the ILC tumors for which Affymetrix gene expression profiling is available. To this end, we will use a gene screen assay, which specifically interrogates the mutational status of a few hundreds of cancer genes. We believe that this pioneering effort will be fundamental for a tailored treatment of ILC with
improvement in patients' outcome.
| EGAS00001000292 | EGA
Project description:Invasive lobular carcinoma (ILC) is the second most common histological subtype of breast cancer accounting for 10-15% of cases. ILC differs from invasive ductal carcinoma (IDC)with respect to epidemiology, histology, and clinical presentation. Moreover, ILC is less
sensitive to chemotherapy, more frequently bilateral, and more prone to form gastrointestinal, peritoneal, and ovarian metastases than IDCs. In contrast to IDC, the prognostic value of
histological grade (HG) in ILC is controversial. One of the three major components of histological grading (tubule formation) is missing in ILC which hinders the process of grading
in this histological subtype and results in the classification of approximately two thirds of ILC as HG 2.
Over the last decade, a number of gene expression signatures have shed light onto breast cancer classification, allowing breast cancer care to become more personalized. With
respect to the management of estrogen receptor (ER)-positive breast cancer, several gene expression signatures provide prognostic and/or predictive information beyond what is possible with current classical clinico-pathological parameters alone. Nevertheless, most studies using gene expression signature have not considered different histologic subtypes
separately. Recently, a comprehensive research program has elucidated some of the biological underpinnings of invasive lobular carcinoma. Genetic material extracted from 200 ILC tumor samples were studied using gene expression profiling and identified ILC
molecular subtypes. These proliferation-driven gene signatures of ILC appear to have prognostic significance. In particular, the Genomic Grade (GG) gene signature improved upon HG in ILC and added prognostic value to classic clinico-pathologic factors. In addition this study demonstrated that most ILC are molecularly characterized as luminal-A (~75%)followed by luminal-B (~20%) and HER2-positve tumors (~5%). Moreover, we investigated the prognostic value of known gene signatures/ gene modules in the same cohort of ILC. As a second step within the scope of this project, we aim to investigate the interactions
between somatic ILC tumor mutations to observed transcriptome findings. To this end, we aim to perform somatic mutation analysis for the ILC tumors for which Affymetrix gene expression profiling is available. To this end, we will use a gene screen assay, which specifically interrogates the mutational status of a few hundreds of cancer genes. We believe that this pioneering effort will be fundamental for a tailored treatment of ILC with
improvement in patients' outcome.
| EGAD00001000288 | EGA
Project description:Analysis of invasive lobular carcinoma (ILC) at gene expression level. Samples are annotated with breast cancer specific survival (BCSS) and tumour grade. Results are part of a larger study about molecular signatures that are associated with distinct clinical outcomes in ILC.
2019-06-17 | GSE98528 | GEO
Project description:As part of the RATHER (RAtional THERapy for breast cancer: individualized treatment for difficult-to-treat breast cancer subtypes) consortium, expression profiling of 144 untreated primary invasive lobular carcinoma (ILC) breast cancer tissues and 15 ILC cell lines was performed using microarray. Gene expression profiling of 144 ILC breast cancers and 15 ILC cell lines
2016-01-05 | E-GEOD-68057 | biostudies-arrayexpress
Project description:Invasive lobular carcinoma (ILC) of the breast accounts for 5-15% of breast cancers and is characterized by loss of E-cadherin and believed to arise via a linear histological progression. Genomic studies have identified a clonal relationship between ILC and concurrent lobular carcinoma in situ (LCIS) lesions, suggesting that LCIS may be a precursor lesion. It has been shown that an LCIS diagnosis confers a 15-20% risk of progression to ILC, over a lifetime. Currently no molecular test or markers can identify LCIS lesions likely to progress to ILC. Since microRNA (miRNA) expression changes have been detected in a number of other cancer types, we explored whether their dysregulation might be detected during progression from LCIS to ILC. Using the Illumina miRNA profiling platform, designed for simultaneous analysis of 470 mature miRNAs, we analyzed the profiles of archived normal breast epithelium, LCIS lesions found alone, LCIS lesions concurrent with ILC, and the concurrent ILCs, as a model of linear histological progression toward ILC. We identified two sets of differentially expressed miRNAs, the first set highly expressed in normal epithelium, including hsa-miR-224, -139, -10b, -450, 140 and -365 and the second set upregulated during lobular neoplasia, including hsa-miR-375, -203, -425-5p, -183, -565 and -182. Using quantitative RT-PCR, we validated a trend of increased expression for hsa-mir-375, hsa-mir-182, and hsa-mir-183 correlating with ILC progression. As we detected increased expression of hsa-miR-375 in LCIS lesions synchronous with ILC, we sought to determine whether hsa-mir-375 might induce phenotypes reminiscent of lobular neoplasia by expressing it in the MCF10A 3D culture model of mammary acinar morphogenesis. Increased expression of hsa-miR-375 resulted in loss of cellular organization and acquisition of a hyperplastic phenotype. These data suggest that dysregulated miRNA expression contributes to lobular neoplastic progression. 6 specimens were analyzed in duplicate. One frozen normal lobular epithelium and the matched FFPE (1 month old) normal lobular epithelium. One lobular carcinoma in situ (LCIS) found alone, one LCIS synchronous with an invasive lobular carcinoma (ILC), the synchronous ILC (from a different archived block), and one ILC found alone without presence of any other breast cancer.
2011-04-11 | E-GEOD-28514 | biostudies-arrayexpress
Project description:The identification of lobular caricnoma in situ (LCIS) in a patient's specimen confers and appreciable increased risk of development of future invasive mammary carcinoma. However the study of LCIS presents a challenge as it is usually only recognized in fixed specimens and no good in vivo or in vitro models currently exist. Recent advances in high throughput genomics have made possible comprehensive copy number analysis of lesions such as this. We have characterized LCIS on microdissected cases of archival patient samples using aCGH. We used 4 cases of LCIS with adjacent ILC. Histological sections from 4 cases of LCIS and 4 cases of ILC microdissected, DNA extracted and subjected to whole genome amplification, and aCGH.
2010-12-31 | E-GEOD-20474 | biostudies-arrayexpress
Project description:Invasive lobular breast cancer (ILC) is the second most common histological sub-type of breast cancer. Although the majority of ILC are strongly hormone receptor positive and are of low-intermediate grade, they present a number of clinical challenges. These challenges include limitations in physical exam and breast imaging for early detection, decreased response to chemotherapy and prospective evidence for differences in the benefit from specific adjuvant endocrine treatment regimens when compared to invasive ductal cancer (IDC). In addition to loss of e-cadherin, ILCs possess genetic alterations that are suggestive of a unique estrogen receptor(ER) axis, including an increase in the frequency of FOXA1 mutations and decrease in GATA3 truncating mutations. We performed a randomized Phase II clinical trial, Palbociclib and Endocrine therapy for LObular breast cancer Preoperative Study (PELOP), in which patients were stratified by histological subtype and found that the magnitude of the difference between the benefit from letrozole compared tamoxifen is significantly higher in ILC versus IDC. To elucidate the mechanism underlying this divergent response we comprehensively studied the ER axis in experimental models of ILC and IDC and clinical samples and show that ILC harbors a unique ER transcriptional axis that stems from increased FOXA1 chromatin binding and an altered chromatin state. These findings provide insights to the unique pattern of response to endocrine treatment in ILC and mechanisms of resistance to endocrine treatment, and offer new treatment strategies to improve outcomes for patients with this breast cancer subtype."
2022-08-31 | GSE152361 | GEO
Project description:Invasive lobular breast cancer (ILC) is the second most common histological sub-type of breast cancer. Although the majority of ILC are strongly hormone receptor positive and are of low-intermediate grade, they present a number of clinical challenges. These challenges include limitations in physical exam and breast imaging for early detection, decreased response to chemotherapy and prospective evidence for differences in the benefit from specific adjuvant endocrine treatment regimens when compared to invasive ductal cancer (IDC). In addition to loss of e-cadherin, ILCs possess genetic alterations that are suggestive of a unique estrogen receptor(ER) axis, including an increase in the frequency of FOXA1 mutations and decrease in GATA3 truncating mutations. We performed a randomized Phase II clinical trial, Palbociclib and Endocrine therapy for LObular breast cancer Preoperative Study (PELOP), in which patients were stratified by histological subtype and found that the magnitude of the difference between the benefit from letrozole compared tamoxifen is significantly higher in ILC versus IDC. To elucidate the mechanism underlying this divergent response we comprehensively studied the ER axis in experimental models of ILC and IDC and clinical samples and show that ILC harbors a unique ER transcriptional axis that stems from increased FOXA1 chromatin binding and an altered chromatin state. These findings provide insights to the unique pattern of response to endocrine treatment in ILC and mechanisms of resistance to endocrine treatment, and offer new treatment strategies to improve outcomes for patients with this breast cancer subtype."
2022-08-31 | GSE152360 | GEO