Approximately 50% of melanomas harbor an activating BRAF mutation. Combined BRAF and MEK inhibitors such as dabrafenib and trametinib, vemurafenib and cobimetinib, and encorafenib and binimetinib are US Food and Drug Administration (FDA)-approved to treat patients with BRAFV600-mutated advanced melanoma. Both genetic and epigenetic alterations play a major role in resistance to BRAF inhibitors by reactivation of the MAPK and/or the PI3K–Akt pathways. The role of BRAF inhibitors in modulating the immunomicroenvironment and perhaps enhancing the efficacy of checkpoint inhibitors is gaining interest. This article provides a comprehensive review of mechanisms of resistance to BRAF and MEK inhibitors in melanoma and summarizes landmark trials that led to the FDA approval of BRAF and MEK inhibitors in metastatic melanoma.
Primary plasma cell leukemia (pPCL) is a rare and aggressive form of multiple myeloma (MM) that is characterized by the presence of ≥20% circulating plasma cells. Overall survival remains poor despite advances of anti-MM therapy. The disease biology as well as molecular mechanisms that distinguish pPCL from non-pPCL MM remain poorly understood and, given the rarity of the disease, are challenging to study. In an attempt to identify key biological mechanisms that result in the aggressive pPCL phenotype, we performed whole-exome sequencing and gene expression analysis in 23 and 41 patients with newly diagnosed pPCL, respectively. The results reveal an enrichment of complex structural changes and high-risk mutational patterns in pPCL that explain, at least in part, the aggressive nature of the disease. In particular, pPCL patients with traditional low-risk features such as translocation t(11;14) or hyperdiploidy accumulated adverse risk genetic events that could account for the poor outcome in this group. Furthermore, gene expression profiling showed upregulation of adverse risk modifiers in pPCL compared to non-pPCL MM, while adhesion molecules and extracellular matrix proteins became increasingly downregulated. In conclusion, this is one of the largest studies to dissect pPCL on a genomic and molecular level.
Multiple myeloma (MM) patients frequently attain a bone marrow (BM) minimal residual disease (MRD) negativity status in response to treatment. We identified 568 patients who achieved BM MRD negativity following autologous stem cell transplantation (ASCT) and maintenance combination therapy with an immunomodulatory agent and a proteasome inhibitor. BM MRD was evaluated by next generation flow cytometry (sensitivity of 10-5 cells) at 3 to 6 months intervals. With a median follow up of 9.9 years from diagnosis (range, 0.4 - 30.9), 61% of patients maintained MRD negativity, while 39% experienced MRD conversion at a median of 6.3 years (range, 1.4 - 25). The highest risk of MRD conversion occurred within the first 5 years after treatment and was observed more often in patients with abnormal metaphase cytogenetic abnormalities (95%vs. 84%; P = 0.001). MRD conversion was associated with a high risk of relapse and preceded it by a median of 1.0 year (range, 0 - 4.9). However, 27% of MRD conversion positive patients had not yet experienced a clinical relapse with a median follow-up of 9.3 years (range, 2.2 - 21.2). Landmark analyses using time from ASCT revealed patients with MRD conversion during the first 3 years had an inferior overall and progression-free survival compared to patients with sustained MRD negativity. MRD conversion correctly predicted relapse in 70%, demonstrating the utility of serial BM MRD assessment to complement standard laboratory and imaging to make informed salvage therapy decisions.
curves: (A) shows the relapse free survival and (B) overall survival of persistent MRD positivity compared to those with sustained MRD negativity. (C) shows relapse free and ID overall survival when patients were stratified based on GEP70 score (HR vs. LR) CORRESPONDENCE
survival outweighs the negative long-term effects of HCT. Our findings underline the necessity of long-term follow-up after allo-HCT that facilitates early detection of late morbidities, and targeted lifestyle and medical interventions regardless of which conditioningregimen is used.
Hemophagocytic lymphohistiocytosis (HLH) is an underrecognized disorder due to the variability of its presentation and the fact that in adults, its diagnosis is based on cumbersome, pediatric-based criteria. Data regarding demographics, underlying causes, clinical features, laboratory results, complications, treatments received, and clinical outcomes were collected and analyzed in 41 patients who were diagnosed and treated at University of Arkansas for Medical Sciences between 2007 and 2019. In this group, 51% were male, the median age at diagnosis was 47 years, and 85% (35/41) met the HLH-2004 diagnostic criteria (5/8 variables). When evaluating seven extended variables easily obtained by routine laboratory test, 93% (38/41) of patients met 8 out of 15 criteria. The overall mortality in our patient population was 54% (22/41). The 30-day and 1-year overall survival estimates were 0.73 (95% confidence interval 0.56, 0.84) and 0.46 (95% confidence interval 0.29, 0.62), respectively. Thirty-five patients (85.4%) received HLH-directed therapy, and 19 patients (46.3%) achieved remission. The most common regimen for treating HLH was dexamethasone plus etoposide (53.7%). The patients with malignancy-related HLH had a worse prognosis than those without underlying malignancy, with a 73.33% (11/15) vs 34.62% (9/26) mortality (P ¼ 0.02). In conclusion, despite increasing recognition, HLH remains an enigmatic disorder with increased mortality, even more so with malignancy-associated HLH.
This retrospective, observational cohort study of mechanically ventilated patients at 21 community and 2 academic hospitals demonstrated that in 28,758 derivation cohort admissions, every 10% increase in SpO2/ FiO2 time at risk (SF-TAR) was associated with a 24% increase in adjusted odds of hospital mortality. The SF-TAR can identify ventilated patients at increased risk of death, offering modest improvements compared with single SpO2/FiO2 and P/F ratios. This longitudinal, noninvasive, and broadly generalizable tool may have particular utility for early phenotyping and risk stratification.
Introduction: Primary Plasma Cell Leukemia (pPCL) is a rare form of multiple myeloma (MM) that is characterized by an aggressive disease course with >20% peripherally circulating plasma cells (PCs) and poor clinical outcome. Despite the advances of modern anti-MM therapy, pPCL patients continue to experience low median overall survival (OS) suggesting a distinct biological background. Due to its low incidence of 1-2% of all MM patients, studies on physiopathology remain challenging and are limited. The aim of this study was to elucidate the differences in biology and outcome between non-pPCL MM and pPCL, to determine the genetic landscape of pPCL and to identify distinct signatures and pathways that potentially could be used as therapeutic targets. Methods: We performed gene expression profiling (GEP; Affymetrix U133 Plus 2.0) of matched circulating peripheral PCs and bone marrow (BM) PCs from 13 patients. Whole exome sequencing (WES) was performed on purified CD138+ PCs from BM aspirates from 19 pPCL patients with a median depth of 61x. CD34+ sorted cells, taken at the time of stem cell harvest from the same 19 patients, were used as controls. Translocations and mutations were called using Manta and Strelka and annotated as previously reported. Copy number was determined by Sequenza. Results: GEP from the BM and circulating peripheral PCs showed that the expression patterns of the two samples from each individual clustered together, indicating that circulating PCs and BM PCs in pPCL result from the same clone and are biologically clearly related. The clinical characteristics from the patient cohort used for WES analysis were as follows: median age was 58 years (range 36-77), females accounted for 74% (14/19), an elevated creatinine level was found in 78% (14/18) and an elevated LDH level in 71% (10/14). All patients presented with an ISS stage of III. Median OS of the whole dataset was poor at 22 months, which is consistent with OS from previously reported pPCL cohorts. Primary Immunoglobulin translocations were common and identified in 63% (12/19) of patients, including MAF translocations, which are known to carry high risk in 42% (8/19) of patients [t(14;16), 32% and t(14;20), 10%] followed by t(11;14) (16%) and t(4;14) (10%). Furthermore, 32% (6/19) of patients had at least one MYC translocation, which are known to play a crucial role in disease progression. MYC breakpoints (8q24) were identified in 25% with Ig partner loci including IGH (5%), IGK (10%), and IGL (10%). The remaining samples had partner loci including FAM46C (5%), MYNN (5%), SPARC (5%), QRSL1 (5%), RNF126 (5%), PLXNA4 (5%) and CDH7 (5%). The mutational burden of pPCL consisted of a median of 98 non-silent mutations per sample, suggesting that the mutational landscape of pPCL is highly complex and harbors more coding mutations than non-pPCL MM. Driver mutations, that previously have been described in non-pPCL MM showed a different prevalence and distribution in pPCL, including KRAS and TP53 with 47% (9/19) and 37% (7/19) affected patients respectively compared to 21% and 5% in non-PCL MM. PIK3CA (5%), PRDM1 (10%), EP300 (10%) and NF1 (10%) were also enriched in the pPCL group compared to previously reported cases in non-pPCL MM. Biallelic inactivation of TP53 - a feature of Double Hit myeloma - was found in 6/19 (32%) samples, indicating a predominance of high risk genomic features compared to non-pPCL MM. Furthermore, analysis of mutational signatures in pPCL showed that aberrant APOBEC activity was highly prevalent only in patients with a MAF translocation, but not in other translocation groups. Conclusion: In conclusion we present one of the first WES datasets on pPCL with the largest patient cohort reported to date and show that pPCL is a highly complex disease. The aggressive disease behavior can, at least in part, be explained by a high prevalence of MAF and MYC translocations, TP53 and KRAS mutations as well as bi-allelic inactivation of TP53. It is of interest that only KRAS but not NRAS mutations are highly enriched in pPCL. From all highly prevalent genomic alterations in pPCL, only KRAS mutations offer a potential for already available therapeutically targeting with MEK inhibitors, which should be further explored. Disclosures Davies: Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; ASH: Honoraria; TRM Oncology: Honoraria; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria; Abbvie: Consultancy; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; MMRF: Honoraria. Barlogie:Multiple Myeloma Research Foundation: Other: travel stipend; ComtecMed- World Congress on Controversies in Hematology: Other: travel stipend; Millenium: Consultancy, Research Funding; European School of Haematology- International Conference on Multiple Myeloma: Other: travel stipend; International Workshop on Waldenström's Macroglobulinemia: Other: travel stipend; Celgene: Consultancy, Research Funding; Dana Farber Cancer Institute: Other: travel stipend; Myeloma Health, LLC: Patents & Royalties: : Co-inventor of patents and patent applications related to use of GEP in cancer medicine licensed to Myeloma Health, LLC. Morgan:Bristol-Myers Squibb: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Janssen: Research Funding.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.