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Rob Jelier

Commonalties of, and differences between hormonal pathways in breast, endometrium, and prostate cancer. Rob Jelier. What could I contribute? . Experts:. Guido Jenster Urology Prostate Cancer. Lambert Dorssers Pathology Breast Cancer. Leen Blok Gynecology Endometrial Cancer.

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Rob Jelier

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  1. Commonalties of, and differences between hormonal pathways in breast, endometrium, and prostate cancer Rob Jelier

  2. What could I contribute? Experts: Guido Jenster Urology Prostate Cancer Lambert Dorssers Pathology Breast Cancer Leen Blok Gynecology Endometrial Cancer

  3. DNA Microarray Datasets • PRIMA dataset: Gene expression measured following stimulation of the AR by the synthetic androgen R1881 in the prostate cancer cell line LNCaP. • Best dataset: Gene expression profiles of 10 androgen-independent primary prostate tumor biopsies and 10 primary, untreated androgen-dependent tumors. • Frasor dataset: Gene expression measured following stimulation of the ER by estradioll in the breast cancer cell line MCF7. Also data on the selective estrogen receptor modulators Tamoxifen, Raloxifene or ICI 182,780 alone and the latter three in combination with estradiol.

  4. DNA Microarray Datasets • Blok cell line dataset: Gene expression measured following stimulation of the PGR and the ER in the endometrial cancer cell line MCF7 in a time series. The cells were subjected to: • estradiol • estradiol and MPA (an progesterone derivate) • MPA • tibolone • Blok Patient Material Dataset: 30 healthy post-menopausal women were subjected to hormone treatments prior to hysterectomy for endometrial prolaps. The hormone treatments were: 1. estradiol; 2. estradiol + progestagen; 3. tibolone.

  5. DNA Micro-arrays Lots of Data Background information is desirable e.g. urology: 18K gene expression profiles for a series of hybridizations. For one experiment >100 potentially relevant genes • Gene Function • Part of regulatory pathway • Tissue/cell type specific expression • Protein localization • Chromosomal gene location • Role in cancer • Known co-expressed genes

  6. Concept Profiling, what it does • GABARAPL2 • BNIP2 • ARHGAP8 • RAP1GA1 • GMIP • CDC42EP4 • ITSN1 • BCL11B • CD1E • IL7R • GNLY • GZMK • GZMH • GZMB • PRF1 • GZMA • IL2RB • UCHL1 • KLRK1 • KLRD1 • KLRB1 • TNFRSF7 • CD6 • CD2 • CD8A

  7. Concept Profile: ESR1 estrogen receptor 1 breast neoplasm 0.5 BRCA1 0.34 PGR 0.30 Estrogen 0.28 BRCA2 0.25 TP53 0.15 gene suppressor tumor 0.12 genetics polymorphism 0.12 genetic predisposition to disease 0.10 female 0.05

  8. Anni • www.biosemantics.org/anni

  9. Other contributions • Information retrieval • e.g. Give me all the genes associated with Androgen Receptor

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