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NADT-Prostate | Nascent prostate cancer heterogeneity drives evolution and resistance to intense hormonal therapy
DOI: 10.7937/TCIA.JHQD-FR46 | Data Citation Required | Image Collection
| Location | Species | Subjects | Data Types | Cancer Types | Size | Status | Updated | |
|---|---|---|---|---|---|---|---|---|
| Prostate | Human | 37 | Histopathology | Prostate Cancer | Clinical | Public, Complete | 2021/10/08 |
Summary
In order to assess mechanisms predictive of response or resistance to intense neoadjuvant therapy, we performed automated immunohistochemistry on targeted biopsies from patients with intermediate or high risk prostate cancer. All biopsy were stained with H&E or antibodies against: p53, PTEN, AR, PSA, GR, Ki67, SYP and PIN4-cocktail (p63+CK5+K18+AMACR). We further performed automated immunohistochemistry on whole mount radical prostatectomy tissues containing residual tumor. RP tissues were stained with H&E or antibodies against: PTEN, AR, AR-V7, PSA, PSMA, GR, Ki67, SYP and PIN4-cocktail (p63+CK5+K18+AMACR), with some slides stained for other markers of residual tumor, to include NKX3.1 and CAM5.2. Slides were scanned at 20x magnification. For each patient, response to intense neoadjuvant therapy is known. As biopsies were targeted to MRI-visible lesions, lesion-level response to therapy is also known. For each biopsy, gene expression profile by RNA-seq and exome sequencing were performed on tumor tissue laser capture microdissected from serial sections. Up to 4 foci were dissected per biopsy. Whole-genome sequencing of germline DNA from each patient was also performed. Exome and gene expression data corresponding to pre-treatment biopsy tissues has been deposited in dbGaP and GEO. Genome, exome and expression data from post-treatment radical prostatectomy tissues is underway. As slides were stained using an automated slide stainer, this is a rich resource for performing data mining for assessing histogenomic correlates or signatures of treatment response or resistance.
Data Access
Version 1: Updated 2021/10/08
| Title | Data Type | Format | Access Points | Subjects | License | |||
|---|---|---|---|---|---|---|---|---|
| Tissue Slide Images from Biopsy Tissue | Histopathology | TIFF | Download requires IBM-Aspera-Connect plugin |
37 | 1,401 | CC BY 4.0 | ||
| Clinical data | XLS | CC BY 4.0 |
Additional Resources for this Dataset
The following external resources have been made available by the data submitters. These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection.
- Exome, genome, & RNA-seq data – dbGaP
- Summarized gene expression data – GEO
Citations & Data Usage Policy
Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:
Data Citation |
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Wilkinson, S., Ye, H., Karzai, F., Harmon, S. A., Terrigino, N. T., VanderWelle, D. J., Bright, J. R., Atway, R., Trostel, S. Y., Carrabba, N. V., Whitlock, N. C., Walker, S. M., Lis, R. T., Sater, H. A., Capaldo, B. J., Madan, R. A., Gulley, J. L., Chun, G., Merino, M. J., … Sowalsky, A. G. (2020). Nascent prostate cancer heterogeneity drives evolution and resistance to intense hormonal therapy [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.JHQD-FR46 |
Acknowledgements
The authors gratefully acknowledge the patients and the families of patients who contributed to this study.
Related Publications
Publications by the Dataset Authors
The authors recommended this paper as the best source of additional information about this dataset:
Wilkinson, S., Ye, H., Karzai, F., Harmon, S. A., Terrigino, N. T., VanderWeele, D. J., Bright, J. R., Atway, R., Trostel, S. Y., Carrabba, N. V., Whitlock, N. C., Walker, S. M., Lis, R. T., Abdul Sater, H., Capaldo, B. J., Madan, R. A., Gulley, J. L., Chun, G., Merino, M. J., … Sowalsky, A. G. (2021). Nascent Prostate Cancer Heterogeneity Drives Evolution and Resistance to Intense Hormonal Therapy. European Urology. https://doi.org/10.1016/j.eururo.2021.03.009
No publications by dataset authors were found.
Research Community Publications
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