Published Research with KTB Samples

As research is completed and published that is focused on the Komen Tissue Bank, or that results from using KTB samples, we will continue to add it to this reference page.  If you are aware of research that should be included here, please contact the Chief Operating Officer.

Please note: liberties have been taken with citation format in order to facilitate ease of finding the publication desired.

50. Dual TGFβ/BMP pathway inhibition enables expansion and characterization of multiple epithelial cell types of the normal and cancerous breast. Prasad, M., Kumar, B., Bhat-Nakshatri, P., Anjanappa, M., Sandusky, G., Miller, K. D., … & Nakshatri, H. (2019). Molecular Cancer Research, molcanres-0165.

49. Genetic ancestry-dependent differences in breast cancer-induced field defects in the tumor-adjacent normal breast. Nakshatri, H., Kumar, B., Burney, H. N., Cox, M. L., Jacobsen, M., Sandusky, G. E., … & Storniolo, A. M. V. (2019). Clinical Cancer Research, clincanres-3427.

48. Inflammatory signatures distinguish metabolic health in African American women with obesity. Denis, G. V., Sebastiani, P., Bertrand, K. A., Strissel, K. J., Tran, A. H., Slama, J., … & Palmer, J. R. (2018). PloS one13(5), e0196755.

47. Free fatty acids rewire cancer metabolism in obesity-associated breast cancer via estrogen receptor and mTOR signaling. Madak-Erdogan, Z., Band, S., Zhao, Y. C., Smith, B. P., Kulkoyluoglu-Cotul, E., Zuo, Q., … & Kim, S. H. (2019). Cancer research, canres-2849.

46. Normal breast-derived epithelial cells with luminal and intrinsic subtype-enriched gene expression document inter-individual differences in their differentiation cascade. Kumar, B., Prasad, M. S., Bhat-Nakshatri, P., Anjanappa, M., Kalra, M., Marino, N., … & Liu, Y. (2018). Cancer research, canres-0509.

45. Development of a New Monochrome Multiplex qPCR Method for Relative Telomere Length Measurement in Cancer. Dahlgren, P. N., Bishop, K., Dey, S., Herbert, B. S., & Tanaka, H. (2018). Neoplasia20(5), 425-431.

44. Serum insulin‐like growth factor (IGF)‐I and IGF binding protein‐3 in relation to terminal duct lobular unit involution of the normal breast in Caucasian and African American women: The Susan G. Komen Tissue Bank. Oh, H., Pfeiffer, R. M., Falk, R. T., Horne, H. N., Xiang, J., Pollak, M., … & Figueroa, J. D. (2018). International Journal of Cancer.

43. Triple-Negative Breast Cancer, Stem Cells, and African Ancestry. Jiagge, E., Chitale, D., & Newman, L. A. (2017). The American Journal of Pathology.

42. An analytical pipeline for discovery and verification of glycoproteins from plasma-derived extracellular vesicles as breast cancer biomarkers. Chen, I. H., Aguilar, H. A., Paez Paez, J. S., Wu, X., Pan, L., Wendt, M. K., … & Tao, W. A. (2018). Analytical chemistry.

41. A plasma telomeric cell-free DNA level in unaffected women with BRCA1 or/and BRCA2 mutations: a pilot study. Dey, S., Marino, N., Bishop, K., Dahlgren, P. N., Shendre, A., Storniolo, A. M., … & Tanaka, H. (2018)Oncotarget9(3), 4214.

40. Dual PI3K and Wnt pathway inhibition is a synergistic combination against triple negative breast cancer. Solzak, J. P., Atale, R. V., Hancock, B. A., Sinn, A. L., Pollok, K. E., Jones, D. R., & Radovich, M. (2017). NPJ breast cancer3(1), 17.

39. Relationships Among Obesity, Type 2 Diabetes, and Plasma Cytokines in African American Women. Denis, G. V., Sebastiani, P., Andrieu, G., Tran, A. H., Strissel, K. J., Lombardi, F. L., & Palmer, J. R. (2017). Obesity25(11), 1916-1920.

38. Phosphoproteins in extracellular vesicles as candidate markers for breast cancer. Chen, I. H., Xue, L., Hsu, C. C., Paez, J. S. P., Pan, L., Andaluz, H., … & Tao, W. A. (2017). Proceedings of the National Academy of Sciences, 201618088.

37. Normal breast tissue DNA methylation differences at regulatory elements are associated with the cancer risk factor age. Johnson, K. C., Houseman, E. A., King, J. E., & Christensen, B. C. (2017). Breast Cancer Research19(1), 81.

36. Heterogeneous drug penetrance of veliparib and carboplatin measured in triple negative breast tumors. Bartelink, I. H., Prideaux, B., Krings, G., Wilmes, L., Lee, P. R. E., Bo, P., … & Jones, E. F. (2017). Breast Cancer Research19(1), 107.

35. DNA methylation age is elevated in breast tissue of healthy women. Sehl, M. E., Henry, J. E., Storniolo, A. M., Ganz, P. A., & Horvath, S. (2017). Breast cancer research and treatment164(1), 209-219.

34. Association between breast cancer genetic susceptibility variants and terminal duct lobular unit involution of the breast. Bodelon, C., Oh, H., Chatterjee, N., Garcia‐Closas, M., Palakal, M., Sherman, M. E., … & Chicoine, R. E. (2017). International journal of cancer140(4), 825-832.

33. Applying the Health Belief Model and an Integrated Behavioral Model to Promote Breast Tissue Donation Among Asian Americans. Shafer, A., Kaufhold, K., & Luo, Y. (2017)Health communication, 1-9.

32. DNA methylation differences at regulatory elements are associated with the cancer risk factor age in normal breast tissue. Johnson, K. C., Houseman, E. A., King, J. E., & Christensen, B. C. (2017). bioRxiv, 101287.

31. Alterations in the immune cell composition in premalignant breast tissue that precede breast cancer development. Degnim, A. C., Hoskin, T. L., Arshad, M., Frost, M. H., Winham, S. J., Brahmbhatt, R. A., … & Miller, E. E. (2017). Clinical Cancer Research23(14), 3945-3952.

30. African American women’s perspectives on donating healthy breast tissue for research: implications for recruitment. Ridley-Merriweather, K. E., & Head, K. J. (2017). Health communication32(12), 1571-1580.

29. Asian American women’s perspectives on donating healthy breast tissue: implications for recruitment methods and messaging. Ridley-Merriweather, K. E. (2016).  (Doctoral dissertation).

28. Preliminary evaluation of a fully-automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysis. Keller, B. M., Gastounioti, A., Batiste, R. C., Kontos, D., & Feldman, M. D. (2016, March). In Medical Imaging 2016: Digital Pathology (Vol. 9791, p. 97910A). International Society for Optics and Photonics.

27. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170. Dunning, A. M., Michailidou, K., Kuchenbaecker, K. B., Thompson, D., French, J. D., Beesley, J., … & Dicks, E. (2015)Nature genetics47(3), 374.

26. Aberrant reduction of telomere repetitive sequences in plasma cell-free DNA for early breast cancer detection. Wu, X., & Tanaka, H. (2015). Oncotarget, 6(30), 29795.

25. Ages at menarche-and menopause-related genetic variants in relation to terminal duct lobular unit involution in normal breast tissue. Oh, H., Bodelon, C., Palakal, M., Chatterjee, N., Sherman, M. E., Linville, L., … & Papathomas, D. (2016).  Breast cancer research and treatment158(2), 341-350.

24. Whole-genome bisulfite sequencing of cell-free DNA identifies signature associated with metastatic breast cancer. Legendre, C., Gooden, G. C., Johnson, K., Martinez, R. A., Liang, W. S., & Salhia, B. (2015)Clinical epigenetics7(1), 100.

23. Ethnicity-Dependent and -Independent Heterogeneity in Healthy Normal Breast Hierarchy Impacts Tumor Characterization. Nakshatri, H., Anjanappa. M., Bhat-Nakshatri1, P. (2015), Scientific Reports : 5 :13526.

22. Aberrant methylation of imprinted genes is associated with negative hormone receptor status in invasive breast cancer. Barrow, T. M., Barault, L., Ellsworth, R. E., Harris, H. R., Binder, A. M., Valente, A. L., Shriver, C. D. and Michels, K. B. (2015), Int. J. Cancer, 137: 537–547.

21. The molecular landscape of the normal human breast–defining normal. Hilton, H. N., & Graham, J. D. (2014)Breast Cancer Research: 16:102.

20. Postpartum breast involution reveals regression of secretory lobules mediated by tissue-remodeling. Jindal, S., Gao, D., Bell, P., Albrektsen, G., Edgerton, S. M., Ambrosone, C. B., … Schedin, P. (2014). Breast Cancer Research : BCR16(2), R31. doi:10.1186/bcr3633

19. Circulating Sex Hormones and Terminal Duct Lobular Unit Involution of the Normal Breast. Khodr, Z. G., Sherman, M. E., Pfeiffer, R. M., Gierach, G. L., Brinton, L. A., Falk, R. T., … & Visscher, D. W. (2014). Cancer Epidemiology and Prevention Biomarkers23(12), 2765-2773.

18. Motivations, Concerns, and Experiences of Women Who Donate Normal Breast Tissue. Doherty, E. F., MacGeorge, E. L., Gillig, T., & Clare, S. E. (2014)Cancer Epidemiology Biomarkers & Prevention, cebp-0941.

17. Terminal duct lobular unit involution of the normal breast: implications for breast cancer etiology. Figueroa, J., Pfeiffer, R., Patel, D., Linville, L., Brinton, L., Gierach, G., & … Sherman, M. (2014)Journal Of The National Cancer Institute,106(10).

16. Cancer impacts microRNA expression, release and function in cardiac and skeletal muscle. Chen, D., Goswami, C. P., Burnett, R. M., Anjanappa, M., Bhat-Nakshatri, P., Muller, W., & Nakshatri, H. (2014)Cancer research74(16), 4270-4281.

15. Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche. Perry, J. R., Day, F., Elks, C. E., Sulem, P., Thompson, D. J., Ferreira, T., … & Albrecht, E. (2014)Nature514(7520), 92.

14. Phenotypic plasticity in normal breast derived epithelial cells. Sauder, C. A., Koziel, J. E., Choi, M., Fox, M. J., Grimes, B. R., Badve, S., … & Herbert, B. S. (2014)BMC cell biology15(1), 20.

13. KIF14 Promotes AKT Phosphorylation and Contributes to Chemoresistance in Triple-Negative Breast Cancer. Singel, S., Cornelius, C., Zaganjor, E., Batten, K., Sarode, V., Buckley, D., & … Shay, J. (2014).  Neoplasia (New York, N.Y.)16(3), 247-256.e2. doi:10.1016/j.neo.2014.03.008

12. Next-generation transcriptome sequencing of the premenopausal breast epithelium using specimens from a normal human breast tissue bank. Pardo, I., Lillemoe, H. A., Blosser, R. J., Choi, M., Sauder, C. A., Doxey, D. K., … & Hickenbotham, M. (2014). Breast Cancer Research16(2), R26.

11. Immune cell quantitation in normal breast tissue lobules with and without lobulitis. Degnim, A. C., Brahmbhatt, R. D., Radisky, D. C., Hoskin, T. L., Stallings-Mann, M., Laudenschlager, M., … & Visscher, D. W. (2014)Breast cancer research and treatment144(3), 539-549.

10. Characterizing the heterogeneity of triple-negative breast cancers using microdissected normal ductal epithelium and RNAsequencing. Radovich, M., Clare, S. E., Atale, R., Pardo, I., Hancock, B. A., Solzak, J. P., … & Lillemoe, H. A. (2014). 143(1), 57-68.

9. Molecular profiling of human mammary gland links breast cancer risk to a p27(+) cell population with progenitor characteristics. Choudhury, S., Almendro, V., Merino, V. F., Wu, Z., Maruyama, R., Su, Y., & … Polyak, K. (2013). Cell Stem Cell13(1), 117-130.

8. Potential roles of microRNAs in regulating long intergenic noncoding RNAs.  JJuan, L., Wang, G., Radovich, M., Schneider, B. P., Clare, S. E., Wang, Y., & Liu, Y. (2013). BMC medical genomics6(1), S7.

7. Telomere fusions in early human breast carcinoma. Tanaka, H., Abe, S., Huda, N., Tu, L., Beam, M. J., Grimes, B., & Gilley, D. (2012)Proceedings of the National Academy of Sciences109(35), 14098-14103.

6. Sensitive PCR-based quantitation of cell-free circulating microRNAs. Hastings, M. L., Palma, J., & Duelli, D. M. (2012). Methods58(2), 144-150.

5. The Susan G. Komen for the Cure Tissue Bank at the IU Simon Cancer Center: A Unique Resource for Defining the “Molecular Histology” of the Breast., Sherman, M. E., Figueroa, J. D., Henry, J. E., Clare, S. E., Rufenbarger, C., & Storniolo, A. M. (2012). Cancer Prevention Research.

4. Histologic findings in normal breast tissues: comparison to reduction mammaplasty and benign breast disease tissues. Degnim, A. C., Visscher, D. W., Hoskin, T. L., Frost, M. H., Vierkant, R. A., Vachon, C. M., … & Hartmann, L. C. (2012)Breast cancer research and treatment133(1), 169-177.

3. Plasma components affect accuracy of circulating cancer-related microRNA quantitation.  Kim, D. J., Linnstaedt, S., Palma, J., Park, J. C., Ntrivalas, E., Kwak-Kim, J. Y., … & Duelli, D. M. (2012).The Journal of Molecular Diagnostics14(1), 71-80.

2. A large, consistent plasma proteomics data set from prospectively collected breast cancer patient and healthy volunteer samples. Riley, C. P., Zhang, X., Nakshatri, H., Schneider, B., Regnier, F. E., Adamec, J., & Buck, C. (2011)Journal of translational medicine9(1), 80.

1. Persistent upregulation of U6:SNORD44 small RNA ratio in the serum of breast cancer patients, Appaiah, H. N., Goswami, C. P., Mina, L. A., Badve, S., Sledge, G. W., Liu, Y., & Nakshatri, H. (2011). Breast Cancer Research13(5), R86.

"Although great strides have been made towards the treatment of breast cancer, we still have a ways to go!"

- Carrie Babcock

The Komen Tissue Bank is supported by gifts-in-kind from: The Catherine Peachey Fund Vera Bradley Shelle Design Incorporated Hologic Bright Ideas