Abstract 5557: Patterns of oncogene co-expression at single cell resolution influence survival in diffuse large B-cell lymphoma

• Published in: Cancer research (Chicago, Ill.) Ill.), 2023-04, Vol.83 (7_Supplement), p.5557-5557
• Main Authors: Hoppe, Michal M., Jaynes, Patrick, Fan, Shuangyi, Peng, Yanfen, Sridhar, Shruti, Hoang, Phuong Mai, Liu, Xin, de Mel, Sanjay, Poon, Limei, Chan, Esther, Lee, Joanne, Ong, Choon Kiat, Tang, Tiffany, Lim, Soon Thye, Nagarajan, Chandramouli, Grigoropoulos, Nicholas F., Tan, Soo-Yong, Hue, Susan Swee-Shan, Chang, Sheng-Tsung, Chuang, Shih-Sung, Li, Shaoying, Khoury, Joseph D., Choi, Hyungwon, Farinha, Pedro, Mottok, Anja, Scott, David W., Harris, Carl, Bottos, Alessia, Kumar, Gayatri, Kannan, Kasthuri, Gay, Laura J., Runge, Hendrik F., Moutsopoulos, Ilias, Mohorianu, Irina, Hodson, Daniel J., Lin, Yen-Chee, Chng, Wee-Joo, Ng, Siok-Bian, Tripodo, Claudio, Jeyasekharan, Anand D.
• Format: Article
• Language: English
• ISSN: 1538-7445; 1538-7445
• DOI: 10.1158/1538-7445.AM2023-5557

Background: Cancers often overexpress multiple clinically relevant oncogenes. However, it is not known if multiple oncogenes within a cancer combineuniquely in specific cellular sub-populations to influence clinical outcome.We studied this phenomenon using the prognostically relevantoncogenes MYC, BCL2 and BCL6 in Diffuse Large B-Cell Lymphoma(DLBCL). Methods: Quantitative multispectral imaging simultaneously measured oncogene co-expression at single-cell resolution in reactive lymphoid tissue (n=12)and four independent cohorts (n=409) of DLBCL. Mathematically derived co-expression phenotypes were evaluated in DLBCLs with immunohistochemistry (n=316) and nine DLBCL cohorts with gene expression data (n=3974). Bulk and single-cell RNA sequencing was performed on patient-derived B-cells with induced co-expression of MYC,BCL2 and BCL6. Results: Unlike in non-malignant lymphoid tissue where the co-expression of MYC, BCL2 and BCL6 in a B-cell is limited, DLBCLs show multiple permutations of oncogenic co-expression in malignant B-cells. The percentage of cells with a unique combination MYC+BCL2+BCL6-(M+2+6-) consistently predicts survival in contrast to that of other combinations (including M+2+6+). An estimated percentage of M+2+6-cells can be derived from any quantitative measurement of the component individual oncogenes, and correlates with survival in immunohistochemistry and gene expression datasets. Comparative transcriptomic analysis of DLBCLs and transformed patient-derived B-cells identifies cyclin D2 (CCND2) as a potential BCL6-repressedregulator of proliferation in the M+2+6- population. Conclusions: Unique patterns of oncogene co-expression at single-cell resolution affect clinical outcomes in DLBCL. Similar analyses evaluating oncogenic combinations at the cellular level may impact diagnostics and target discovery in other cancers. Citation Format: Michal M. Hoppe, Patrick Jaynes, Shuangyi Fan, Yanfen Peng, Shruti Sridhar, Phuong Mai Hoang, Xin Liu, Sanjay de Mel, Limei Poon, Esther Chan, Joanne Lee, Choon Kiat Ong, Tiffany Tang, Soon Thye Lim, Chandramouli Nagarajan, Nicholas F. Grigoropoulos, Soo-Yong Tan, Susan Swee-Shan Hue, Sheng-Tsung Chang, Shih-Sung Chuang, Shaoying Li, Joseph D. Khoury, Hyungwon Choi, Pedro Farinha, Anja Mottok, David W. Scott, Carl Harris, Alessia Bottos, Gayatri Kumar, Kasthuri Kannan, Laura J. Gay, Hendrik F. Runge, Ilias Moutsopoulos, Irina Mohorianu, Daniel J. Hodson, Yen-Chee Lin, Wee-Joo Chng, Siok-Bian Ng, Claudio Tr