EGAD00001009771 
        	              
                       
                    		 Manuscript Title: 
Co-targeting of BTK and MALT1 overcomes resistance to BTK inhibitors in mantle cell lymphoma
Journal: 
Journal of Clinical Investigation
Authors
Vivian Changying Jiang1, Yang Liu1, Junwei Lian1, Shengjian Huang1, Alexa Jordan1, Qingsong Cai1, Fangfang Yan3, Joseph Mitchell McIntosh1, Yijing Li1, Yuxuan Che1, Zhihong Chen1, Jovanny Vargas1, Maria Badillo1, JohnNelson Bigcal1, Heng-Huan Lee1, Wei Wang1, Yixin Yao1, Lei Nie1, Christopher Flowers1, and Michael Wang1, 2* 
Abstract
Bruton’s tyrosine kinase (BTK) is a proven target in mantle cell lymphoma (MCL), an aggressive subtype of non-Hodgkin lymphoma. However, resistance to BTK inhibitors is a major clinical challenge. We here report that MALT1 is one of the top overexpressed genes in ibrutinib-resistant MCL cells, while expression of CARD11, which is upstream of MALT1, is decreased. MALT1 genetic knockout or inhibition produced dramatic defects in MCL cell growth regardless of ibrutinib sensitivity. Conversely, CARD11 knockout cells showed anti-tumor effects only in ibrutinib-sensitive cells, suggesting that MALT1 overexpression could drive ibrutinib resistance via bypassing BTK-CARD11 signaling. Additionally, BTK knockdown and MALT1 knockout markedly impaired MCL tumor migration and dissemination, and MALT1 pharmacological inhibition decreased MCL cell viability, adhesion, and migration by suppressing NF-κB, PI3K-ATK-mTOR, and integrin signaling. Importantly, co-targeting MALT1 with safimaltib and BTK with pirtobrutinib induced potent anti-MCL activity in ibrutinib-resistant MCL cell lines and patient-derived xenografts. Therefore, we conclude that MALT1 overexpression associates with resistance to BTK inhibitors in MCL, targeting abnormal MALT1 activity could be a promising therapeutic strategy to overcome BTK inhibitor resistance, and co-targeting of MALT1 and BTK should improve MCL treatment efficacy and durability as well as patient outcomes. 
Dataset description:
The bulk RNA-seq dataset was generated for the cell lines below and used for two major purposes:
1.	DEG analysis and GSEA analysis comparing IBN-R and IBN-S cells
2.	DEG analysis and GSEA analysis comparing MCL cells with/without MI-2 treatment.
sample 	Cell	MI-2	Ibrutinib (IBN)	Venetoclax (VEN)	Used for IBN-R vs IBN-S comparison	Used for MI-2 vs untreated (DMSO)
H9	Granta519	-	R	S	yes	
H21	Granta519	-	R	S	yes	
H33	Granta519	-	R	S	yes	
H10	Granta519-VEN-R	-	R	R	yes	
H22	Granta519-VEN-R	-	R	R	yes	
H34	Granta519-VEN-R	-	R	R	yes	
H3	JeKo BTK KD_1 	-	R	R	yes	yes
H15	JeKo BTK KD_1 	-	R	R	yes	yes
H27	JeKo BTK KD_1 	-	R	R	yes	yes
H5	JeKo BTK KD_2 	-	R	R	yes	yes
H17	JeKo BTK KD_2 	-	R	R	yes	yes
H29	JeKo BTK KD_2 	-	R	R	yes	yes
H1	JeKo-1	-	S	R	yes	yes
H13	JeKo-1	-	S	R	yes	yes
H25	JeKo-1 	-	S	R	yes	yes
H7	Mino	-	S	S	yes	
H19	Mino	-	S	S	yes	
H31	Mino	-	S	S	yes	
H8	Mino-VEN-R	-	S	R	yes	
H20	Mino-VEN-R	-	S	R	yes	
H32	Mino-VEN-R	-	S	R	yes	
H11	Rec-1	-	S	S	yes	
H23	Rec-1	-	S	S	yes	
H12	Rec-VEN-R	-	S	S	yes	
H24	Rec-VEN-R	-	S	R	yes	
H36	Rec-VEN-R	-	S	R	yes	
H35	Rec-1	--	S	R	yes	
H4	JeKo BTK KD_1 + MI-2	+				yes
H16	JeKo BTK KD_1 + MI-2	+				yes
H28	JeKo BTK KD_1 + MI-2	+				yes
H6	JeKo BTK KD_2 + MI-2	+				yes
H18	JeKo BTK KD_2 + MI-2	+				yes
H30	JeKo BTK KD_2 + MI-2	+				yes
H2	JeKo-1 + MI-2	+				yes
H14	JeKo-1 + MI-2	+				yes
H26	JeKo-1 + MI-2	+				yes 
        	              
                       
        		             
                           
                             Illumina HiSeq 4000 
                           
                         
                        
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