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445 citation(s) found for "Slager, Susan L".

Relationship of blood monocytes with chronic lymphocytic leukemia aggressiveness and outcomes: a multi‐institutional study
Sibley, Alexander B. , Owzar, Kouros , Chaffee, Kari G. , Hanson, Curtis A. , Weinberg, J. Brice , Rabe, Kari G. , Slager, Susan, Friedman, Daphne Ruth , Slager, Susan L. , Kay, Neil E. , Ding, Wei , Shanafelt, Tait D. , Wilcox, Ryan A.

Mayo Clinic

American Journal of Hematology | April 2, 2016 | Volume: 91 | Issue: 7 | Pages: 687-691

10.1002/ajh.24376 | PMID 27037726 Get It

Monocyte‐derived cells, constituents of the cancer microenvironment, support chronic lymphocytic leukemia (CLL) cell survival in vitro via direct cell‐cell interaction and secreted factors. We hypothesized that circulating absolute monocyte count (AMC) reflects the monocyte‐derived cells in the microenvironment, and that higher AMC is associated with increased CLL cell survival in vivo and thus inferior CLL patient outcomes. We assessed the extent to which AMC at diagnosis of CLL is correlated with clinical outcomes, and whether this information adds to currently used prognostic markers. We evaluated AMC, clinically used prognostic markers, and time to event data from 1,168 CLL patients followed at the Mayo Clinic, the Duke University Medical Center, and the Durham VA Medical Center. Elevated AMC was significantly associated with inferior clinical outcomes, including time to first therapy (TTT) and overall survival (OS). AMC combined with established clinical and molecular prognostic markers significantly improved risk‐stratification of CLL patients for TTT. As an elevated AMC at diagnosis is associated with accelerated disease progression, and monocyte‐derived cells in the CLL microenvironment promote CLL cell survival and proliferation, these findings suggest that monocytes and monocyte‐derived cells are rational therapeutic targets in CLL. Am. J. Hematol. 91:687–691, 2016. © 2016 Wiley Periodicals, Inc.
Analysis of racial variations in disease characteristics, treatment patterns, and outcomes of patients with chronic lymphocytic leukemia
Nabhan, Chadi , Chaffee, Kari G. , Galanina, Natalie , Achenbach, Sara J., Schwager, Susan M., Rabe, Kari G. , Slager, Susan L. , Kay, Neil E. , Shanafelt, Tait D.

Mayo Clinic

American Journal of Hematology | March 25, 2016 | Volume: 91 | Issue: 7 | Pages: 677-680

10.1002/ajh.24374 | PMID 27013143 Get It

The impact of race on outcomes of patients with chronic lymphocytic leukemia (CLL), the most common leukemia in the west, is not well studied. We aimed to understand racial variations in clinical and disease characteristics, treatment patterns, and outcomes in patients with CLL. We utilized the Mayo Clinic CLL database to perform an analysis of these characteristics and natural history of non‐white (NW) compared to white (W) CLL patients. Differences by race in median overall survival (OS) and time‐to‐first‐treatment (TTFT) were investigated. Of the 4215 CLL patients, 4114 (97.6%) were W and 101 (2.4%) were NW. NW patients were younger (median age at diagnosis 59.4 vs. 63.4; P = 0.003) and more likely to have an elevated LDH (28.0% vs. 16.2%; P = 0.02). No differences in prognostic parameters were noted. No major differences were observed in treatment selection. OS and TTFT were similar between both groups. In the largest analysis of NW‐CLL patients in North America, and contrary to historical retrospective reports, W and NW patients appear to have comparable outcomes when treated similarly. These findings suggest previously noted outcome differences may be due to disparities in access to care and management rather than differences in disease biology. Am. J. Hematol. 91:677–680, 2016. © 2016 Wiley Periodicals, Inc.
Personalized risk prediction for event‐free survival at 24 months in patients with diffuse large B‐cell lymphoma
Jaïs, Jean‐Philippe , Ghesquières, Hervé , Thompson, Carrie A. , Thiéblemont, Catherine , Micallef, Ivana N. , Porrata, Luis F. , Nowakowski, G. S., Casasnovas, Olivier , Bologna, Serge, Morrison, Vicki A., Macon, William R. , Copie‐Bergman, Christiane , Feldman, Andrew L. , Syrbu, Sergei , Kurtin, Paul J. , Gascoyne, Randy D. , Li, Hailun , Allmer, Cristine, Ansell, Stephen M. , Link, Brian K. , Salles, Gilles , Tilly, Hervé , Nowakowski, Gregorz S, Maurer, Matthew J. , Witzig, Thomas E. , Hong, Fangxin , Haïoun, Corinne , Ribrag, Vincent , Morschhauser, Franck , Peterson, Bruce A. , Kahl, Brad S. , Slager, Susan L. , Habermann, Thomas M. , Cerhan, James R. , Feldman, Andrew L , Link, Brian K , Salles, Gilles A , Syrbu, Sergei , Casasnovas, René-Olivier

Mayo Clinic

American Journal of Hematology | October 22, 2015 | Volume: 91 | Issue: 2 | Pages: 179-184

10.1002/ajh.24223 | PMID 26492520 Get It

We recently defined event‐free survival at 24 months (EFS24) as a clinically relevant outcome for patients with DLBCL. Patients who fail EFS24 have very poor overall survival, while those who achieve EFS24 have a subsequent overall survival equivalent to that of the age‐ and sex‐matched general population. Here, we develop and validate a clinical risk calculator (IPI24) for EFS24. Model building was performed on a discovery dataset of 1,348 patients with DLBCL and treated with anthracycline‐based immunochemotherapy. A multivariable model containing age, Ann Arbor stage, normalized serum LDH, ALC, ECOG performance status, bulky disease, and sex was identified. The model was then applied to an independent validation dataset of 1,177 DLBCL patients. The IPI24 score estimates the probability of failing to achieve the EFS24 endpoint for an individual patient. The IPI24 model showed superior discriminatory ability (c‐statistic = 0.671) in the validation dataset compared to the IPI (c‐statistic = 0.649) or the NCCN‐IPI (c‐statistic = 0.657). After recalibration of the model on the combined dataset, the median predicted probability of failing to achieve EFS24 was 36% (range, 12–88%), and the IPI24 showed an EFS24 gradient in all IPI groups. The IPI24 also identified a significant percentage of patients with high risk disease, with over 20% of patients having a 50% or higher risk of failing to achieve EFS24. The IPI24 provides an individual patient level probability of achieving the clinically relevant EFS24 endpoint. It can be used via electronic apps. Am. J. Hematol. 91:179–184, 2016. © 2015 Wiley Periodicals, Inc.
Familial predisposition and genetic risk factors for lymphoma
Cerhan, James R. , Slager, Susan L. , Cerhan, James R , Slager, Susan L

Mayo Clinic

Blood | September 25, 2015 | Volume: 126 | Issue: 20 | Pages: 2265-2273

10.1182/blood-2015-04-537498 | PMID 26405224 Get It

Abstract Our understanding of familial predisposition to lymphoma (collectively defined as non-Hodgkin lymphoma [NHL], Hodgkin lymphoma [HL], and chronic lymphocytic leukemia [CLL]) outside of rare hereditary syndromes has progressed rapidly during the last decade. First-degree relatives of NHL, HL, and CLL patients have an ∼1.7-fold, 3.1-fold, and 8.5-fold elevated risk of developing NHL, HL, and CLL, respectively. These familial risks are elevated for multiple lymphoma subtypes and do not appear to be confounded by nongenetic risk factors, suggesting at least some shared genetic etiology across the lymphoma subtypes. However, a family history of a specific subtype is most strongly associated with risk for that subtype, supporting subtype-specific genetic factors. Although candidate gene studies have had limited success in identifying susceptibility loci, genome-wide association studies (GWAS) have successfully identified 67 single nucleotide polymorphisms from 41 loci, predominately associated with specific subtypes. In general, these GWAS-discovered loci are common (minor allele frequency >5%), have small effect sizes (odds ratios, 0.60-2.0), and are of largely unknown function. The relatively low incidence of lymphoma, modest familial risk, and the lack of a screening test and associated intervention, all argue against active clinical surveillance for lymphoma in affected families at this time.
Base Resolution Methylome Profiling: Considerations in Platform Selection, Data Preprocessing and Analysis
Sun, Zhifu , Cunningham, Julie M. , Kocher, Jean‐Pierre , Cunningham, Julie, Slager, Susan, Slager, Susan L. , Sun, Zhifu

Mayo Clinic

Epigenomics | September 14, 2015 | Volume: 7 | Issue: 5 | Pages: 813-828

10.2217/epi.15.21 | PMID 26366945 Get It

Abstract 877: Aspirin and other nonsteroidal anti-inflammatory drugs, statins, and risk of non-Hodgkin lymphoma
O'Bryne, Megan M., Nowakowski, Grzegorz S. , Call, Timothy G. , Thompson, Carrie A. , Macon, William R. , Liebow, Mark , Cerhan, James R. , Shanafelt, Tait D. , Kay, Neil E. , Habermann, Thomas M. , Slager, Susan L.

Mayo Clinic

Cancer Research | August 5, 2015 | Volume: 75 | Issue: 15_Supplement | Pages: 877-877

10.1158/1538-7445.am2015-877 Get It

Abstract Background. Non-steroidal anti-inflammatory drugs (NSAIDs) and statin drugs have been suggested as protective agents against the development of non-Hodgkin lymphoma (NHL), but data are limited, particularly for NHL subtypes. Further, some in vitro, animal and epidemiologic data suggest there may be a synergistic effect of these two agents in cancer prevention, but there has been no test of this hypothesis in NHL. Methods. We evaluated the use of NSAIDs and statins in a clinic-based study of 1683 newly diagnosed cases and 2168 frequency matched controls enrolled from 2002-2012. Regular use (at least once/week for at least one year) of low dose (baby) aspirin, standard or extra strength aspirin, ibuprofen, other NSAIDs (e.g., naproxen, etc), COX-2 inhibitors, as well as statins or other cholesterol lowering drugs, was ascertained using a self-administered questionnaire. Frequency, amount and duration of use were also collected. Unconditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CI), adjusted for age, sex, residence, education, body mass index, smoking history, alcohol use, and history of rheumatoid arthritis and osteoarthritis. Pathologic classification of NHL subtypes was centrally reviewed, and subtype-specific NHL risks were estimated using polychotomous logistic regression for chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL, N = 495), diffuse large B-cell (DLBCL, N = 326), follicular (FL, N = 410) and marginal zone (MZL, N = 134) lymphomas. Results. The mean age of cases was 61.8 years and 59% were men, while the mean age of controls was 61.6 years and 53% were men. We observed an inverse association of low dose aspirin use with risk of NHL (OR = 0.82; 95% CI 0.70-0.96), with stronger associations for more pills per day, longer duration of use and greater number of pill-years. In contrast, we observed no evidence of an association with NHL risk with use of regular or extra-strength aspirin, ibuprofen, other NSAIDs, or COX-2 inhibitors, nor use of statins or other cholesterol-lowering drugs. When we modeled the joint use of low dose aspirin and statins, the strongest inverse association was observed for low dose aspirin use only, followed by use of both aspirin and statins; there was no association with statin use only and no evidence for any interaction of low dose aspirin and statins on NHL risk. For low dose aspirin, the strongest inverse trends were observed for DLBCL, followed by FL and MZL, while there were no consistent associations for CLL/SLL. Conclusions. We found a strong inverse association of low dose aspirin use with risk of NHL and the subtypes of DLBCL, FL, and MZL, but no association for regular/extra strength aspirin, other NSAIDs or statin use. While confirmation is needed, our findings for low dose aspirin but not use of other NSAIDs suggest that anti-platelet or other effects of low dose aspirin may be of etiologic significance in lymphomagenesis. Citation Format: James R. Cerhan, Megan M. O'Bryne, Grzegorz S. Nowakowski, Timothy G. Call, Carrie A. Thompson, Tait D. Shanafelt, William R. Macon, Neil E. Kay, Thomas M. Habermann, Susan L. Slager, Mark Liebow. Aspirin and other nonsteroidal anti-inflammatory drugs, statins, and risk of non-Hodgkin lymphoma. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 877. doi:10.1158/1538-7445.AM2015-877
Abstract 5267: Comorbidity and cause of death in patients with chronic lymphocytic leukemia (CLL)
Chaffe, Kari, Achenbach, Sara J., Call, Timothy G. , Strati, Paolo , Kay, Neil E. , Cerhan, James R. , Slager, Susan L. , Shanafelt, Tait D.

Mayo Clinic

Cancer Research | August 5, 2015 | Volume: 75 | Issue: 15_Supplement | Pages: 5267-5267

10.1158/1538-7445.am2015-5267 Get It

Abstract Introduction. CLL has a highly heterogeneous clinical course. In fact, while some patients experience a very aggressive disease, others may present with an indolent form, and eventually die of “other” causes. Here we report the findings of a prospective cohort study evaluating the comorbidities and causes of death in newly diagnosed patients with CLL. Methods. Clinical information was collected from 1174 patients with newly diagnosed CLL (within 9 months of diagnosis), who consented to participate in a prospectively observational trial with standardized longitudinal follow-up between 01/2002 and 11/2014. All comorbidities were diagnosed before presentation. Results. Baseline characteristics are shown in the Table. Co-existent health conditions included: cardiac (28% of patients), respiratory (18%), endocrinological (14%), rheumatologic (42%), gastrointestinal (33%), genitourinary (35%), and psychiatric diseases (17%), diabetes (10%), hyperlipidemia (41%), other cancers (20%), stroke (3%), hypertension (40%), venous thromboembolism (3%), substance abuse (5%), sexually-transmitted infections (3%), and obesity (32%). After a median follow up of 4 years, 197 patients died and the cause of death could be accurately determined in 135 patients. Among these, death was due to CLL progression in 69 (51%) patients, infections in absence of CLL progression in 7 (5%), other cancers in 29 (21%), and other comorbid health conditions in 30 (22%). CLL patients (N = 1174)Number (%), median [range]Age (years)63 [23-89]Males791 (67)Females383 (33)Rai stage 0604 (51)I-II512 (44)III-IV54 (4)missing4 (1)B2M < 4 mg/dL717 (61)> 4 mg/dL97 (8)missing360 (31)CD49d negative638 (54)positive277 (24)missing259 (22)CD38 < 30%780 (66)> 30%332 (28)missing62 (6)ZAP70 negative650 (55)positive380 (32)missing135 (13)IGHV mutated506 (43)unmutated394 (34)missing274 (24)FISH del13q395 (34)negative173 (14)+12276 (23)del11q90 (8)del17p50 (4)other2 (1)missing188 (16) Conclusions. Despite the advanced age at CLL diagnosis, the frequent presence of comorbidities, and the indolent nature of the disease, CLL progression is the ultimate cause of death in 51% of newly diagnosed CLL patients, with an additional 26% dying of causes potentially related to CLL, such as infections and second cancers. The influence of comorbidities and other clinical factors at diagnosis (e.g. smoking, Charlson Comorbidity Index) on survival and ultimate cause of death are being abstracted, and will be presented at the meeting. Citation Format: Paolo Strati, Kari Chaffe, Sara Achenbach, Timothy Call, Neil Kay, James Cerhan, Susan Slager, Tait Shanafelt. Comorbidity and cause of death in patients with chronic lymphocytic leukemia (CLL). [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 5267. doi:10.1158/1538-7445.AM2015-5267
Abstract 4629: Multiple myeloma susceptibility loci examined in African and European ancestry populations
Rand, Kristin A. , Song, Chi , Déan, Eric, Serie, Daniel, Curtin, Karen , Hazelett, Dennis J. , Hwang, Amie E. , Sheng, Xin , Stram, Alex , Huff, Carol Ann , Bernal‐Mizrachi, Leon , Roos, Anneclaire De, Pawlish, Karen , Peters, Edward , Bock, Catherine, Conti, David V. , Zimmerman, Todd M., Huntsman, Scott , Graff, John, Mehta, Jayesh, Janakiraman, Nalini, Severson, Richard K., Brown, Elizabeth E. , Kolonel, Laurence N. , Henderson, Brian E., Spinelli, John J., Zonder, Jeffrey A. , Camp, Nicola J. , Vachon, Celine M. , Stram, D. O., Haiman, Christopher A. , Berg, David Van Den , Tomasson, Michael H. , Ailawadhi, Sikander , Singhal, Seema , Colditz, Graham A. , Chanock, Stephen Jacob , Lieber, Michael R. , Klein, Eric A. , Brooks‐Wilson, Angela , Rajkumar, S. Vincent , Slager, Susan L. , Giles, Graham G. , Chiu, Brian C.‐H. , Anderson, Kenneth C. , Orlowski, Robert Z. , Lonial, Sagar , Vachon, Celine M. , Ziv, Elad , Cozen, Wendy , Hazelett, Dennis J , Conti, David V

Mayo Clinic

Cancer Research | August 5, 2015 | Volume: 75 | Issue: 15_Supplement | Pages: 4629-4629

10.1158/1538-7445.am2015-4629 Get It

Abstract Genome-wide association studies (GWAS) of multiple myeloma (MM) in Northern Europeans have identified seven novel risk loci (2p23.3, 3p22.1, 3q26.2, 6p21.33, 7p15.3, 17p11.2, 22q13.1). We performed a multiethnic meta-analysis of these regions in 1,274 MM patients and 1,486 controls of European ancestry (EA) and 1,049 MM patients and 7,080 controls of African ancestry (AA), leveraging the differential linkage-disequilibrium of these populations in order to better localize the putative functional variants. We observed directionally consistent effects for all seven index SNPs in both populations, with four significantly associated (p<0.05) with risk in EAs (3p22.1, 7p15.3, 17p11.2, 22q13.1), and two significantly associated with risk in AAs (7p15.3 and 22q13.1). In a fixed effects meta-analysis of six regions (excluding the HLA region on chromosome 6), variation in five of the regions (2p33.3, 3p22.1, 7p15.3, 17p11.2, 22q13.1) had statistically significant associations with risk (Table 1). In one region, the index variant had the strongest association [rs4487645 at 7p15.3, (OR = 1.30, p = 8.7×10−8)]. Five of the six most significantly associated variants identified in the multiethnic analyses overlapped with biologically relevant features indicating regulatory activity based on CD20+ (B lymphocyte) cells, showing evidence of potential function; those included a missense variant in (17p11.2, rs34562254, Pro251Leu) in TNFRSF13B, which encodes a lymphocyte-specific protein in the tumor necrosis factor receptor family that interacts with the NF-kb pathway. Our study shows that these regions are important in MM risk across ethnicities and further supports the use of multiple ethnic groups in genetic studies to enhance identification of risk variants. Table 1.Most significant associations for each region in the multiethnic meta-analysis.Individuals of European AncestryIndividuals of African AncestryMulitethnic Metar2 with IndexcCHRSNPRAaFreqbORP-valueFreqbORP-valueORP-valueP-het2rs732075G0.591.222.0×10−30.621.122.0×10−21.162.6×10−40.280.09/0.283rs73069394A0.191.243.0×10−30.621.181.5×10−21.201.3×10−50.550.77/0.963rs12637184G0.761.136.0×10−20.921.192.7×10−11.151.0×10−20.640.94/1.007rs4487645C0.671.237.0×10−40.891.485.5×10−51.308.7×10−80.07-d17rs34562254A0.121.452.4×10−50.131.212.2×10−31.312.5×10−60.120.33/0.9022rs139400T0.491.224.0×10−40.531.172.1×10−31.191.2×10−60.630.63/0.96aRisk allelebFrequency of the risk allele in European and African ancestry studiescr2 metrics based on 1000 Genomes Project AFR/EUR populationsdIndex SNP Citation Format: Kristin A. Rand, Chi Song, Eric Dean, Daniel Serie, Karen Curtin, Dennis Hazelett, Amie E. Hwang, Xin Sheng, Alex Stram, David J. Van Den Berg, Carol Ann Huff, Leon Bernal-Mizrachi, Michael H. Tomasson, Sikander Ailawadhi, Anneclaire De Roos, Seema Singhal, Karen Pawlish, Edward Peters, Catherine Bock, David V. Conti, Graham Colditz, Todd Zimmerman, Scott Huntsman, John Graff, African Ancestry Prostate Cancer GWAS Consortium,African Ancestry Breast Cancer GWAS Consortium, Stephen J. Chanock, Michael Lieber, Jayesh Mehta, Eric A. Klein, Nalini Janakiraman, Richard K. Severson, Angela R. Brooks-Wilson, Vincent Rajkumar, Elizabeth E. Brown, Laurence Kolonel, Susan Slager, Brian E. Henderson, Graham G. Giles, John J. Spinelli, Brian Chiu, Kenneth C. Anderson, Jeffrey Zonder, Robert Z. Orlowski, Sagar Lonial, Nicola Camp, Celine Vachon, Elad Ziv, Dan O. Stram, Christopher A. Haiman, Wendy Cozen. Multiple myeloma susceptibility loci examined in African and European ancestry populations. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4629. doi:10.1158/1538-7445.AM2015-4629
Abstract 2764: Cosegregating variants in chronic lymphocytic leukemia (CLL) families that are located in loci discovered by genome wide association studies (GWAS)
Beiggi, Sara, O’Brien, Daniel R. , Achenbach, Sara J., Chaffee, Kari G. , Call, Timothy G. , Cunningham, Julie M. , Vachon, Celine M. , Kay, Neil E. , Shanafelt, Tait D. , Cerhan, James R. , Vachon, Celine M. , Slager, Susan L.

Mayo Clinic

Cancer Research | August 5, 2015 | Volume: 75 | Issue: 15_Supplement | Pages: 2764-2764

10.1158/1538-7445.am2015-2764 Get It

Abstract Introduction Chronic lymphocytic leukemia (CLL) is a B-cell malignancy that is known to have a familial component to disease risk. Although 31 loci have been found to be associated with CLL risk, the functional variant(s) driving these associations is mostly unknown. Here we set out to identify rare, highly-penetrant, cosegregating, susceptibility variants within the known GWAS discovered loci using whole exome sequencing (WES) data in CLL families from the Mayo Clinic family study of B-cell malignancies. Methods We performed WES on germ line DNA of 93 CLL families with two or more members with CLL, using Agilent capture kits and Illumina HiSeq2000. Bioinformatics analyses leveraged the following software packages: Novoalign, Picard, The Genome Analysis Toolkit (GATK), and the Biological Reference Repository (bioR). Quality control filters were implemented; subjects with mis-specified relationships were removed, as were variants with <75% call rate, <8X coverage, and those identified as sequencing artifacts. Each GWAS locus was defined by +/- 1Mb of the top GWAS hit within the locus. Linkage disequilibrium (LD) was calculated among the single nucleotide variants (SNVs) located within each locus. Potentially functional SNVs were identified based on: a) uncommon in public databases (< 5%), b) cosegregating in at least two CLL families, c) being highly conserved and in coding regions, and d) functional prediction status of deleterious (SIFT Score), damaging (PolyPhen Score), and a moderate, or high variant impact (SNP Effect). Results In our 93 CLL families, we sequenced 443 individuals: 160 with CLL, 73 with monoclonal B cell lymphocytosis (MBL), and 210 relatives that were not diagnosed with CLL or MBL at the time of sequencing. Median age of CLL diagnosis was 59 years (range 34-87), and 56% were male. Among the MBL individuals and relatives, the median age at recruitment was 55 years (range 18-93), and 40% were male. A total of 317,666 SNVs passed our sequencing quality control filters of which 10,731 were within +/- 1 Mb of known GWAS hits from 31 loci. Of these SNVs, 91% were in coding regions, 18% were reported to have high or moderate impact, 6% were estimated to be damaging and 6% were predicted to be deleterious. From these SNVs, we identified 76 putatively functional variants distributed across 25 GWAS loci that were cosegregating in the individuals with CLL or MBL in multiple CLL pedigrees. These SNVs were all located in coding regions with high or moderate impact and were predicted to be damaging and deleterious. Of these 76 variants, 56 had a frequency of <0.005 in 1000 Genomes’ European population while the remaining 20 had a frequency of 1%. Conclusions Through WES, we identified a number of rare, penetrant and potentially predisposing SNVs located within 25 of the 31 CLL GWAS-discovered loci. These segregating variants provide a list for future validation and functional studies. Citation Format: Sara Beiggi, Daniel R. O'Brien, Sara J. Achenbach, Kari G. Chaffee, Timothy G. Call, Neil E. Kay, Tait D. Shanafelt, Julie Cunningham, James R. Cerhan, Celine M. Vachon, Susan L. Slager. Cosegregating variants in chronic lymphocytic leukemia (CLL) families that are located in loci discovered by genome wide association studies (GWAS). [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2764. doi:10.1158/1538-7445.AM2015-2764
Impact of Ibrutinib and Idelalisib on the Pharmaceutical Cost of Treating Chronic Lymphocytic Leukemia at the Individual and Societal Levels
Finnes, Heidi D. , Chaffee, Kari G. , Leis, José F., Chanan‐Khan, Asher , Call, Tim G., Rabe, Kari G. , Borah, Bijan J. , Chanan-Khan, Asher A., Shanafelt, Tait D. , Ding, Wei , Parikh, Sameer A. , Slager, Susan L. , Kay, Neil E. , Call, Timothy G.

Mayo Clinic

Journal of Oncology Practice | May 15, 2015 | Volume: 11 | Issue: 3 | Pages: 252-258

10.1200/jop.2014.002469 | PMID 25804983 Get It

Although ibrutinib and idelalisib are profound treatment advances, they will dramatically increase individual out-of-pocket and societal costs of caring for patients with CLL.