Citations

Abstract Over the past few years, the management of multiple myeloma has changed. We have new guidelines regarding how to set the diagnosis, when to initiate therapy, and how to monitor treatment response. In 2014, the updated International Myeloma Working Group (IMWG) diagnostic criteria changed the definition of multiple myeloma from being a disease defined by symptoms to a disease defined by biomarkers. Today, modern combination therapies have reported up to 60% to 80% of patients reaching a complete response. As a logical and necessary step forward, investigators have explored strategies to detect minimal residual disease (MRD) and its correlation with clinical outcomes. Recent meta-analysis data show that MRD negativity is associated with longer progression-free survival and overall survival. In 2016, the updated IMWG response criteria include MRD as the deepest level of treatment response in multiple myeloma. Simultaneously, we are still quite behind in our understanding of the heterogeneous biology of multiple myeloma and its implications for therapy. Emerging DNA sequencing data show that newly diagnosed multiple myeloma patients have a broad range of mutations, which are distributed unevenly in multiple parallel subclones already present at diagnosis. To move beyond the ill-defined category of “high-risk multiple myeloma,” which confers to approximately 25% of all newly diagnosed patients, prospective studies are needed to dissect tumor biology and define multiple myeloma subtypes, and, based on biology, seek to define rational therapies for individual subtypes. This article discusses novel insights and gives perspectives on diagnosis and MRD monitoring and future directions for prognosis and clinical management of multiple myeloma. Clin Cancer Res; 22(22); 5428–33. ©2016 AACR. See all articles in this CCR Focus section, “Multiple Myeloma: Multiplying Therapies.”

ABSTRACT We recently demonstrated improved sensitivity of prosthetic joint infection (PJI) diagnosis using an automated blood culture bottle system for periprosthetic tissue culture [T. N. Peel et al., mBio 7(1):e01776-15, 2016, https://doi.org/10.1128/mBio.01776-15 ]. This study builds on the prior research by examining the optimal number of periprosthetic tissue specimens required for accurate PJI diagnosis. Current guidelines recommend five to six, which is impractical. We applied Bayesian latent class modeling techniques for estimating diagnostic test properties of conventional culture techniques (aerobic and anaerobic agars and thioglycolate broth) compared to inoculation into blood culture bottles. Conventional, frequentist receiver operating characteristic curve analysis was conducted as a sensitivity analysis. The study was conducted at Mayo Clinic, Rochester, MN, from August 2013 through April 2014 and included 499 consecutive patients undergoing revision arthroplasty from whom 1,437 periprosthetic tissue samples were collected and processed. For conventional periprosthetic tissue culture techniques, the greatest accuracy was observed when four specimens were obtained (91%; 95% credible interval, 77 to 100%), whereas when using inoculation of periprosthetic tissues into blood culture bottles, the greatest accuracy of diagnosis was observed when three specimens were cultured (92%; 95% credible intervals, 79 to 100%). Results of this study show that the greatest accuracy of PJI diagnosis is obtained when three periprosthetic tissue specimens are obtained and inoculated into blood culture bottles or four periprosthetic tissue specimens are obtained and cultured using standard plate and broth cultures. Increasing the number of specimens to five or more, per current recommendations, does not improve accuracy of PJI diagnosis.

Abstract Advances in the diagnosis and treatment of multiple myeloma have come at a rapid pace, especially with several new drugs entering the market in the last few years. However, access to and affordability of new treatments poses a major challenge, both in the United States and around the world. High costs of life-saving drugs are detrimental to both the personal finances of the individual patient, as well as society which must bear the increasing costs in terms of increased health insurance premiums, taxes, or both. The challenges are not unique to myeloma, but are commonly encountered in several other cancers as well. But to some extent these pharmacoeconomic concerns are amplified in myeloma due to the need for multidrug regimens that combine 2 or more expensive new drugs, continuous therapy, and the prolonged disease course in most patients. We examine current myeloma therapy from a pharmacoeconomic perspective, and discuss the costs involved. We outline the underlying reasons why cancer drugs are so expensive, the measures that are required to lower cost, and propose potential ways in which costs can be reduced while still delivering high-quality care.

A preclinical study demonstrated anti‐proliferative and apoptotic effect of propranolol on multiple myeloma (MM) cell. Clinical studies suggested that beta‐blocker (BB) might impact the prognosis of breast, prostate, colorectal, ovarian, lung, and skin cancer. This retrospective study evaluated the effect of BB in MM disease‐specific survival (DSS) and overall survival (OS). Among 1,971 newly diagnosed MM patients seen at Mayo Clinic between 1995 and 2010, usage of BB and other cardiac (or antihypertensive) medications were abstracted. Cumulative incidence function and Kaplan–Meier method were used to estimate 5‐year cumulative incidence rate (CIR) of MM death and OS rate, respectively. Nine hundred and thirty (47.2%) patients had no intake of cardiac medications; 260 (13.2%) used BB alone; 343 (17.4%) used both BB/non‐BB cardiac medications; and 438 (22.2%) had non‐BB cardiac drugs. Superior MM DSS was observed in BB only users, compared to patients without any cardiac drugs ( , 0.53, 95% confidence interval [CI], 0.42–0.67, Padj.<0.0001) and non‐BB cardiac drugs users ( , 0.49, 95% CI, 0.38–0.63, Padj.<0.0001). Patients on both BB and other cardiac drugs showed superior DSS than non‐cardiac drugs users ( , 0.54, 95% CI, 0.44–0.67, Padj.<0.0001) and non‐BB cardiac drug users. ( , 0.50, 95% CI, 0.40–0.62, Padj.<0.0001). MM DSS did not differ between BB users with and without other cardiac drugs (Padj.=0.90). Multivariable analysis showed the same pattern for OS. In patients with MM, BB intake is associated with a reduced risk of disease‐specific death and overall mortality in comparison to non‐BB or no use of cardiac drugs. Am. J. Hematol. 92:50–55, 2017. © 2016 Wiley Periodicals, Inc.

Key PointsThe monotypic and polytypic PC compartments assessed by MFC are prognostic in AL amyloidosis. MFC may play a role in the definition of hematologic response to treatment.

Key Points The combination of ixazomib and dexamethasone has clinical activity in patients with relapsed and or refractory multiple myeloma. Higher dose of ixazomib leads to improved response rates but with higher rates of treatment related adverse events.

Abstract Background: Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits. Methods: The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background. Results: The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis. Conclusions: Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures. Impact: Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126–35. ©2016 AACR.

Abstract Introduction. A KRAS mutation represented the first genomic biomarker to predict lack of benefit from anti-epidermal growth factor receptor (EGFR) antibody therapy in advanced colorectal cancer (CRC). Expanded RAS testing has further refined the treatment approach, but understanding of genomic alterations underlying primary and acquired resistance is limited and further study is needed. Materials and Methods. We prospectively analyzed 4,422 clinical samples from patients with advanced CRC, using hybrid-capture based comprehensive genomic profiling (CGP) at the request of the individual treating physicians. Comparison with prior molecular testing results, when available, was performed to assess concordance. Results. We identified a RAS/RAF pathway mutation or amplification in 62% of cases, including samples harboring KRAS mutations outside of the codon 12/13 hotspot region in 6.4% of cases. Among cases with KRAS non-codon 12/13 alterations for which prior test results were available, 79 of 90 (88%) were not identified by focused testing. Of 1,644 RAS/RAF wild-type cases analyzed by CGP, 31% harbored a genomic alteration (GA) associated with resistance to anti-EGFR therapy in advanced CRC including mutations in PIK3CA, PTEN, EGFR, and ERBB2. We also identified other targetable GA, including novel kinase fusions, receptor tyrosine kinase amplification, activating point mutations, as well as microsatellite instability. Conclusion. Extended genomic profiling reliably detects alterations associated with lack of benefit to anti-EGFR therapy in advanced CRC, while simultaneously identifying alterations potentially important in guiding treatment. The use of CGP during the course of clinical care allows for the refined selection of appropriate targeted therapies and clinical trials, increasing the chance of clinical benefit and avoiding therapeutic futility.