Abstract 2140: “3c-up” a new adult Philadelphia negative acute lymphoblastic leukemia subgroup: Novel molecular markers

• Published in: Cancer research (Chicago, Ill.) Ill.), 2019-07, Vol.79 (13_Supplement), p.2140-2140
• Main Authors: Ferrari, Anna, Vitali, Silvia, Robustelli, Valentina, Rorà, Andrea Ghelli Luserna di, Fonzi, Eugenio, Righi, Simona, Baldazzi, Carmen, Tebaldi, Michela, Salvi, Samanta, Papayannidis, Cristina, Marconi, Giovanni, Fontana, Mariachiara, Imbrogno, Enrica, Padella, Antonella, Simonetti, Giorgia, Santoro, Alessandra, Hernández-Rivas, Jesus María, Bochicchio, Maria Teresa, Mammoli, Fabiana, Giannini, Benedetta, Testoni, Nicoletta, Calistri, Daniele, Bonafè, Massimiliano, Castellani, Gastone, Sabattini, Elena, Remondini, Daniel, Martinelli, Giovanni
• Format: Article
• Language: English
• ISSN: 0008-5472; 1538-7445
• DOI: 10.1158/1538-7445.AM2019-2140

Background: The genetically heterogeneous and poor survival group of Philadelphia negative (Ph-) B-ALL group that doesn’t have the most recurrent adult rearrangements (t(9;22); t(1;19); t(4;11)) is collectively referred to as “triple negative” (Ph-/-/-). CRLF2 is frequently altered in adult B-ALL, especially in Ph-like pts (50-75% of cases). Alterations that lead, in the majority of cases, to a CRLF2 overexpression. Adult pts with CRLF2 upregulated have poor outcome and novel strategies are needed to improve it. Aims: Understand the genomic background of all Ph-/-/- ALL and subsequently clustering Ph-/-/- considering CRLF2 overexpression event, in order to define new biomarkers in these subgroups. Pts and Methods: Ph-/-/- pts were sequenced by WES (44pts/93 samples) and 92 B-Other pts were analyzed with NGS target seq (NTS) to validate the 8 most mutated genes (Fig1A). GEP were performed on 55 Ph-/-/-, 29 B-ALL Ph+ and on 7 donors. We cluster triple negative GEP data with our validated pipeline, based on CRLF2 upregulation and in a top ten-gene list. Ph-/-/- ALL samples were then characterized for the presence of gene fusions, Copy Number Alterations (CNAs) and mutations using different approaches (Pancancer and/or RNASeq; dMLPA-MRC-Holland; SNP Array; 454 Junior and PCR). Results: WES analysis identified some recurrent mutated genes (NRAS, PAX5, KRAS, PTPN11, EP400, JAK2, TP53, CREBBP) previously reported to be involved in B-ALL, confirming the pivotal roles of these gene in ALL. For the first time we described a little known gene PKHD1L1 as highly mutated (7.2%). TP53 was the most mutated gene (Fig1A) and that between these gene is the only one associated to a worst OS (p=0.004). Combining our new Ph-/-/- GEP clustering, WES, NTS, Fusion and CNA results we identify a defined 2-clusters-subdivision (Gr1 and Gr2). The Gr2 (14.1% of all B-ALL) is characterized by CTGF, CRLF2 and CD200 (Gr2=3C-up; Fig 1B) co-overexpression. The Gr2 GEP is similar to Ph+ one (Fig1C). Gr1 represents 46.9% of all B-ALL. Fusion, CNA and mutational screening done, detected that 3C-Up group has a higher frequency of Ph-like associated lesions (primarily CRLF2, JAK2, IL7R mut or del), that mainly affect JAK-STAT pathway. Also IKZF1 and EBF1 deletions are significantly associated to Gr2 (p=0.003; p=0.016). RAS pathway genes are highly affected in Gr1. We also validated not previously described fusions. Notably p53 pathway is enriched in both groups but with different deregulated gen