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Julie Lange

Publications and source records attributed to Julie Lange.

4 recordsLinked to original sources
PubMed2006

Quantitative multiplex methylation-specific PCR analysis doubles detection of tumor cells in breast ductal fluid.

PURPOSE: The challenges of cytology for accurate diagnosis of breast cancer are well recognized. We previously showed that normal and tumor tissue can be distinguished using a technique called quantitative multiplex methylation-specific PCR (QM-MSP). We hypothesized that quantitative analysis of methylated genes will provide enhanced detection of cancer cells present in cytologic specimens. EXPERIMENTAL DESIGN: QM-MSP was done on ductal lavage cells from a set of 37 ductal lavage samples from women undergoing mastectomy (27 with cancer and 3 without). Duct histology information was available for each lavaged duct. QM-MSP data was assessed by measuring cumulative methylation index and by receiver operating characteristic threshold analysis. To determine the baseline level of methylation for each gene in this population, cells from 60 ducts of women at high risk of developing breast cancer were analyzed. RESULTS: QM-MSP findings on a panel of nine genes were correlated to duct histology and ductal lavage cytology. Cytology detected cancer in 33% (7 of 21 ducts) with a specificity of 99% (92 of 93). QM-MSP detected cancer as calculated by cumulative methylation index with a sensitivity of 62% (13 of 21) and specificity of 82% (62 of 76) and by receiver operating characteristic threshold analysis with a sensitivity of 71% (15 of 21) and specificity of 83% (63 of 76). CONCLUSIONS: Compared with cytology, QM-MSP doubled the sensitivity of detection of cancer. This study provides proof of principle by showing the advantages of using methylation analyses to query cytologic specimens and indicates its potential use in diagnosis and in stratifying risk.

Body Fluids↗
PubMed2005

Identification of biomarkers for breast cancer in nipple aspiration and ductal lavage fluid.

PURPOSE: To establish a comprehensive proteomic approach for biomarker discovery and validation in breast fluid. EXPERIMENTAL DESIGN: A total of 95 specimens from three institutions were used including 10 nipple aspiration fluid (5 stage I/II cancerous breasts and 5 age-matched healthy controls), 42 ductal lavage fluid from 14 patients with unilateral stage I/II cancer (25 from 9 cancerous breasts and 17 from 7 contralateral breasts), and 42 ductal lavage fluid from 14 high-risk women (multiple ducts repeated lavage). Differentially expressed protein/peptides were discovered by proteomic analysis of training sample, using ProteinChip arrays and surface-enhanced laser desorption ionization (SELDI) time-of-flight mass spectrometry, and validated on independently collected testing samples. After protein identification, ELISA was done to confirm the SELDI findings. RESULTS: We were able to obtain reproducible protein profiles using minimal amount of protein (1 mug) by applying an optimized chip protocol and SELDI. We were able to select cancer-associated biomarkers despite large individual variability by applying both unsupervised and supervised cluster analysis. Furthermore, we were able to train and test candidate biomarkers on independently collected samples and identified one component of a multimarker panel as human neutrophil peptides 1 to 3. CONCLUSIONS: Breast fluid is a rich source of breast cancer biomarkers. In combination with high-throughput novel proteomic profiling technology and multicenter study design, markers that are highly specific to breast cancer can be discovered and validated. Our observations also suggest that persistent elevation of human neutrophil peptide in high-risk women may imply early onset of cancer not yet detectable by current detection method. Proof of this hypothesis requires follow-up on a larger study population.

Adenocarcinoma↗
PubMed2004

Quantitative multiplex methylation-specific PCR assay for the detection of promoter hypermethylation in multiple genes in breast cancer.

If detected early, breast cancer is eminently curable. To detect breast cancer in samples with little cellularity, a high level of sensitivity is needed. Tumor-specific promoter hypermethylation has provided such a valuable tool for detection of cancer cells in biological samples. To accurately assess promoter hypermethylation for many genes simultaneously in small samples, we developed a novel method, quantitative multiplex-methylation-specific PCR (QM-MSP). QM-MSP is highly sensitive (1 in 10(4)-10(5) copies of DNA) and linear over 5 orders of magnitude. For RASSF1A, TWIST, Cyclin D2, and HIN1, we observed significant differences in both the degree (P < 0.003) and incidence (P < 0.02) of hypermethylation between normal and malignant breast tissues. Evaluation of the cumulative hypermethylation of the four genes within each sample revealed a high level of sensitivity (84%) and specificity (89%) of detection of methylation. We demonstrate the application of this technique for detecting hypermethylated RASSF1A, TWIST, Cyclin D2, HIN1, and RARB in 50-1000 epithelial cells collected from breast ducts during endoscopy or by lavage. Such an approach could be used in a variety of small samples derived from different tissues, with these or different biomarkers to enhance detection of malignancy.

Actins↗