Masri, Azzah Al

Abstract Background/Introduction Patients with ATTR-CM can have lower circulating TTR levels, which is associated with worsening of cardiac function and increased risk of cardiovascular mortality.[1] Acoramidis has been shown to reduce cardiovascular mortality and hospitalization, while increasing circulating TTR levels, in the ATTRibute-CM phase 3 study.[2] Purpose I. Evaluate serum TTR levels in participants (pts) receiving acoramidis vs those who received tafamidis in the placebo group in ATTRibute-CM at Month 30. II. Evaluate serum TTR levels in pts who transitioned from placebo+tafamidis to acoramidis in the open-label long term extension (OLE) study. Methods ATTRibute-CM study: Eligible pts with ATTR-CM were randomized in a 2:1 ratio to receive acoramidis or placebo for 30 months. Pts in both groups had the option of initiating open-label, commercially available tafamidis after 12 months in the study. Upon completion of Month 30, pts were invited to participate in the OLE study. In OLE, pts who had previously received acoramidis continued acoramidis, and those who had previously received placebo+tafamidis were switched to acoramidis-only treatment. All pts in the OLE study received acoramidis only. Change in serum TTR levels in ATTRibute-CM and OLE at data cutoff (Oct 9, 2023) are summarised using descriptive statistics. Results In the phase 3 study, efficacy analyses were performed in 611 pts, of which 61 of 409 (14.9%) and 46 of 202 (22.8%) received tafamidis in acoramidis and placebo groups, respectively. The median time until tafamidis initiation was 17.8 and 16.1 months, respectively; median exposure duration was 11.6 and 10.5 months, for acoramidis and placebo groups, respectively.[3] Change from baseline (CFB) in serum TTR levels remained unchanged at Month 30 in the placebo-only group (mean [SD] = –0.4 [4.92] mg/dL). Characteristics of pts analysed are described in Fig. 1. A total of 380/611 pts (62.2%) entered the OLE study (229 pts continued acoramidis only, and 23 switched from placebo+tafamidis to acoramidis). At the time of data cutoff, 214 pts who had received acoramidis only completed Month 6 in OLE versus 18 who switched from placebo+tafamidis to acoramidis. At Month 30 in ATTRibute-CM, CFB in serum TTR levels were higher for patients who received acoramidis only than those receiving placebo+tafamidis (Fig 2A). Serum TTR levels increased further in pts who switched from placebo+tafamidis to acoramidis in OLE (Fig. 2B). The OLE study is ongoing, and this analysis includes pts who completed the Month 6 visit at time of data-cut. Conclusion(s) CFB in serum TTR levels were higher in pts receiving acoramidis only than those receiving placebo+tafamidis at Month 30 in the double-blind study. A further significant increase in serum TTR levels was observed in those who received placebo+tafamidis and switched to acoramidis in OLE.

Abstract Background: Multiple mechanisms exist for the positive selection of genes involved in oncogenesis such as gene amplification and transcriptional deregulation associated with chromosome translocations. Here we describe the case of a myeloma cell line that over time acquired extra copies of a derivative chromosome 4 involved in the t(4;14). These changes occurred over time both in vitro (in the generated JMW myeloma cell lines) as well as in vivo from extramedullary myeloma samples collected from the patient at various time points. In the case of the t(4;14)(p16;q32) 30% can be unbalanced translocations, always with loss of the der(14) and consequent loss of the FGFR3 gene expression, suggesting an indispensable role for MMSET located in the der(4). Results: We performed serial analysis on patient samples obtained at 9, 10 and 12 mos from diagnosis, along with a time course analysis of the cell line. At diagnosis the patient tumor cells displayed a complex clinical karyotype subsequently characterized by hypodiploidy, a t(4;14)(p16;q32), 13 monosomy and 17p13.1-. The remaining chromosome 13 and 17 were involved in an unbalanced reciprocal translocation. Notably, over time the cell line duplicated the total chromosome number becoming near-tetraploid. At the time of diagnosis, FISH analysis was performed on the patient sample revealing the translocation t(4;14)(p16.3:q32) in nearly all cells. The t(4;14) was also present in the stable cell line. It was noted that the patient cells exhibited more than one fusion signal per cell for the t(4;14) by FISH. As the disease progresses both in vitro and in vivo, the number of t(4;14)(p16.3:q32) fusion signals detected per cell increased with time suggesting a positive selection of the derivative chromosomes of the translocation. We further analyzed the t(4;14) in the JMW cells by FISH using MMSET/VH, and FGFR3/CH probe combinations. The full-length (MMSET/FGFR3+VH/CH) probe was used to detect the total number of fusions in the JMW cells. At the time of analysis (cell line passage #23), the majority of the cells (69%) had 6 fusion signals per cell while 23% had 5 fusions and 8% of the cells had 4 fusions. We found that most of the cells (88%) displayed 4 fusion signals detected using the MMSET/VH probes. In parallel studies using the FGFR3/CH probes, 61% of the cells had 2 fusion signals and 39% with 1 fusion signal. It is evident that the tumor cells display positive selection of the derivative chromosome der(4) of the t(4;14)(p16.3;q32), accompanied by an increased dosage of the target gene (MMSET) upregulated by the translocation. Conclusion: We present evidence for the amplification of the translocated chromosome in multiple myeloma, which we have termed “trans-amplicons”. Trans-amplicons may provide a selective growth and survival advantage to the myeloma tumor cells in an analogous manner to amplicons of DNA segments, but with much more powerful transcriptional consequences. Importantly, the evolution of genomic instability exemplified by the “trans-amplicons” in the patient cells was paralleled in vitro in the JMW cells.

Abstract Background: The inactivation of p53 by deletion of 17p13 is observed in 10% of multiple myeloma patients and is associated with shorter survival. In this study we were interested in assessing p53 function in the JMW myeloma cell line established from a patient with aggressive disease and circulating plasma cells. We characterized the plasma cells derived from the patient with the disease from the initial stage of procurement ofpatient tumor cells to permanence as a cell line. Results: At diagnosis, 95% of the cells had monosomy 17 and 4% of the cells had a FISH pattern consistent with interstitial deletion of p53 (17p13). However, we observed clonal evolution in that at 3 months from diagnosis, 70% of the patient cells exhibited a deletion of the p53 locus while 28% of the cells had a monosomy 17. This may be attributed to favored clonal expansion of the cells with the deletion of p53 (17p13). To resolve this issue we performed further interphase and metaphase FISH and found an unbalanced complex translocation resulting in LOH of 13q and 17p (der13 t(13;17)(q?;p?). In addition, we screened the remaining p53 gene for mutations by conformation-sensitive gel electrophoresis (CSGE). PCR fragments showing abnormal CSGE-banding patterns (in exons 5 and 8) were further characterized by DNA sequence analysis and we identified a G to A splice site mutation generating an alternate splice site 21 bp into exon 5. This mutation results in a mutant protein lacking amino acids 126–132 in the DNA binding domain of p53. We observed no differences in the expression level of p53 mRNA as determined by RT-PCR analysis. We determined the effect of the deletion on p53 protein expression and function. We examined the effect of DNA damage induced by UV radiation on p53 protein levels in JMW cells, using the myeloma cell line H929 (expressing wildtype p53) as a positive control for expression. The JMW cells were exposed to UV radiation (20 J/m2) and the cells were harvested for western blot analysis 5 hours after UV damage. An increase in the level of p53 protein was observed in JMW as well as the H929 cells following UV treatment. We then investigated the activation of p53 downstream targets. The CDK inhibitor p21WAF1/CIP1 is a well-characterized p53 target that mediates G1 cell cycle arrest. Thus, we examined the levels of p21 protein following UV treatment of JMW and H929 cells. Strikingly, JMW cells lacked p21 expression in untreated cells as well as UV exposed cells suggesting that the characterized deletion in the DNA binding domain is an inactivating mutation. Conclusion: Abrogation of p53 function was observed in the JMW cells. Further analysis of the p53 pathway in JMW and other myeloma cell lines will provide an in depth understanding of the role of p53 in disease progression. The study of the p53 pathway in myeloma is highly relevant, as we have shown it to be associated with relapsing and aggressive disease, particularly with extramedullary myeloma. Our studies suggest that malignant plasma cells have the ability to survive outside of the bone marrow microenvironment but a p53 dependent checkpoint results in cell death. In clones with p53 defects the cells survive and result in extramedullary disease, including plasma cell leukemia.

Abstract Background: Waldenström macroglobulinemia (WM) is a plasma cell dyscrasia characterized by a monoclonal IgM paraproteinemia. The most common genomic abnormality in the clonal cells of WM is loss of portions of the long arm of chromosome 6 (6q-), however a minimal area of deletion has yet to be identified. We decided to further clarify the area of deletion on the 6q-arm in WM along with its prevalence. Methods: Patients (n=41) were required to have a serum IgM paraproteinemia of 1.5 g/dl or greater and a monoclonal lymphoplasmacytic infiltrate. We used interphase fluorescence in situ hybridization (FISH) combined with cytoplasmic immunoglobulin (cIg) staining with an AMCA conjugated anti-IgM antibody along with cytomorphology for the detection of the clonal cells on cytospin slides. Ten probes were used including two commercial (CEP 6 and Telomere 6q) and eight Bacteria Artificial Chromosome (BAC). BAC clones were selected based on a specific gene encompassed in the insert and/or localization on the q arm. Genes of interest included BLIMP1, c-myb, BTF, SHPRH, LATS1 and FOP. BAC’s were grown in selective media; DNA was extracted and directly labeled with a SpectrumGreen or SpectrumOrange fluorophore by standard nick translation. Primers were designed to confirm the insert contained the gene of interest and probes were tested on normal metaphases to reaffirm localization to the correct area of the chromosome and rule out any cross hybridization. Results: Deletions of 6q were noted in 21 (51%) patients. Of the 19 abnormal patients with all probes tested 1 (5%) case had ten probes deleted, 7 (37%) cases had nine probes, 1 (5%) had eight, 4 (21%) had seven, 3 (16%) had six and 3 (16%) had four probes deleted. Only 3 cases retained the end of the q arm indicating an interstitial deletion while the remaining 16 cases indicate terminal deletions. Deletions of the BAC containing the gene SHPRH at 6q24 were seen in each of the 19 abnormal cases. The majority of patients exhibited little heterogeneity for any given deletion having greater than 80% involvement of the clone. Conclusion: This study demonstrates that large deletions of the long arm of chromosome 6 in WM are frequent and are usually terminal deletions rather than interstitial and have a common area of deletion of the q24 portion of the q arm. Using the given number of probes localizing along the q arm makes it highly unlikely of any areas of noncontiguous deletion. The presence of deletions in the majority of the clonal cells may suggest that clones with 6q- emerge early in the course of the disease and is selected because of growth advantage or apoptosis resistance. Whether 6q deletions are important for disease pathogenesis has yet to be determined. Clinical prognosis studies and microarray data analysis are pending.

Abstract Introduction: The analysis of what goes awry in a malignant cell has focused primarily on mutations of protein-encoding genes and their regulatory sequences. However, recent work on microRNA (miRNA) has shed light on the possible involvement of miRNA genes in human disease. miRNA are small “noncoding” or “non-messenger” RNAs of about 21–25 nucleotides in length that function as regulators of gene expression essentially by pairing to the mRNA of protein-coding genes to initiate mRNA degradation or repression of translation. We are interested in characterizing miRNA expression profiles in human myeloma cell lines (HMCLs) and myeloma patient samples. Multiple myeloma (MM) is a plasma cell tumor characterized by frequent chromosomal translocations. Materials and methods: The expression of miRNA in HMCLs, primary MM cells (hyperdiploid samples) and normal plasma cells was determined using human microRNA chips. The GenoExporerTM Human microRNA chips were developed by GenoSensor (Tempe, AZ) and the microarray contains 226 human microRNA sequences in addition to control sequences. The DNA oligo probes are synthesized and immobilized on the chips (1”x 3” standard glass microslide). The probes are designed based on the active mature miRNA sequences and some of their flanking sequences. Our analysis included seven myeloma patients (hyperdiploid MM), eight different HMCLs (MM1, 8226 with t(14;16); SKMM2, U266, INA-6 with t(11;14) and H929, KMS11, UTMC-2 with t(4;14)), and eight normal human plasma cells. The normal human plasma cells were collected at Mayo Clinic Rochester from bone samples of patients undergoing orthopedic surgery. For the assay 5–10 μg of total RNA per sample were used at a concentration of 1 μg/μL. The RNA is directly labeled with biotin and used as a target for the on-chip hybridization assays. A streptavidin-Alexa dye is used to stain the hybridized targets and the fluorescent signals are captured and analyzed. The gene signal intensities were normalized to tRNA signal intensity. Results: The primary MM cells and HMCLs displayed a distinctive miRNA expression profile compared with normal plasma cells. Using the GeneSpring 7 (Agilent Technologies, Palo Alto, CA) for gene expression analysis we have identified miRNA genes with significant variation in expression levels between tumor and normal samples including miR-125b, miR-133a, miR1, and miR-124a (p<0.01). Recently defined algorithms were used to identify putative targets for the miRNA genes of interest such as leukemia inhibitory factor (LIF) as targets of miR-125b and Stat3 and angiopoietin-1 precursor as targets of miR-124a (Lewis et al. 2003). Of note, miR-15 and miR-16, previously identified to be downregulated in CLL, were expressed at low levels in some MM patients and HMCLs, but not in the normal plasma cells. Further analysis will be carried out to validate the data from miRNA profiling using northern blot analysis or real-time RT-PCR to measure expression levels of miRNA genes and that of their target genes. Conclusion: Analysis of miRNA expression pattern (along with aCGH and gene expression profiling studies) will undoubtedly refine our understanding of the various genotypic subtypes of multiple myeloma.