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629 citation(s) found for "Zheng, Qi".

Importance of Achieving Complete Remission (CR) after Intensive Therapy for Acute Myeloid Leukemia (AML) in Older Adults Age ≥60 Years: Analysis of Risk Factors for Early Mortality and Re-Induction, and Impact of Quality of Response on Overall Survival (OS
Foran, James M. , Sun, Zhuoxin , Thomas, Mary L., Paietta, Elisabeth , Zhang, Yanming , Rowe, Jacob M. , Altman, Jessica K. , Luger, Selina M. , Al‐Kali, Aref , Zheng, Hong , Pratz, Keith W. , Broun, E. Randolph, Powell, Bayard L., O’Dwyer, Kristen M. , Litzow, Mark R. , Tallman, Martin S. , Claxton, David F. , Lazarus, Hillard M. , Thomas, Mary L., Melnick, Ari , Levine, Ross L. , Arber, Daniel A. , Godwin, John E. , O'Dwyer, Kristin

Mayo Clinic

Blood | October 10, 2019 | Volume: 128 | Issue: 22 | Pages: 339-339

10.1182/blood.v128.22.339.339 Get It

Abstract Background: The results of the primary endpoint of the E2906 North American Intergroup phase 3 trial - demonstrating significantly inferior OS after single agent clofarabine versus standard intensive daunorubicin & cytarabine induction and consolidation - strongly support the use of intensive therapy for patients age ≥60 years with newly-diagnosed AML who are fit for treatment. This result was achieved despite similar CR rates (including CRi - CR with incomplete blood count recovery) and similar early (30- & 60-day) induction mortality between study arms, raising the question as to the importance of achieving CR as an endpoint. Therefore, we performed a follow-up analysis to address the factors that contribute to early mortality, the necessity for 2nd induction cycle to achieve CR, and to assess the survival impact of the quality of remission. Methods: E2906 design, study population and results for the primary objective were reported previously (ASH 2015, abstr. #217a). We performed this updated analysis to evaluate clinical risk factors for early mortality and re-induction, and to assess the impact of response quality on OS. Univariate comparisons were made with Fisher's exact test (category) and t-test (continuous variable), and logistic regression models were used to examine risk factors associated with early mortality, and with requiring a 2nd cycle of induction therapy. We performed a landmark analysis (beginning Day 60 after initiation of therapy) to determine the impact of response quality (CR/CRi, morphologic leukemia-free-state (MLFS), and treatment failure - i.e. residual/refractory AML) on OS. Survival comparisons were performed with log-rank test. Results: A total of n=727 patients were registered to E2906, the median age is 68 years (range 60-86) and the median follow-up of surviving patients is now 18.3 months. Adjusting for treatment, cytogenetic risk group, FAB subtype, WBC count, and secondary AML, increasing age (p=0.06) and performance status (PS) >1 (p=0.05) were associated with 30-day mortality and only PS >1 (p=0.06) with 60-day mortality. Treatment arm (p=0.003), adverse cytogenetic risk group (p=0.02), increasing age (p=0.03) and baseline WBC <10K (p=0.03) were each independently associated with higher risk of receiving 2nd cycle induction, but there was no difference in CR/CRi (44.2% vs. 42.2%, p=0.58) or in median OS (13.8 versus 12.0 months, p=0.11) for those receiving 1 vs. 2 induction cycles, respectively. We next performed a landmark analysis (day 60, n=608 evaluable patients) to evaluate OS in relation to the quality of response (Table). We observed an advantage in achieving CR and CR/CRi, although the benefit of CRi diminished greatly after 12 months, and OS after MLFS appeared more similar to treatment failure (Figure, p<0.001). The relative adverse impact of CRi and MLFS (vs. CR) was most pronounced for patients treated with clofarabine, where median OS was shorter for those achieving CRi (12.2m vs. 22.6m standard therapy, p=0.007) and MLFS (6.6m vs. 13.4m standard therapy, p=0.15). Conclusion: This follow-up analysis confirms the importance of CR regardless of the number of cycles of induction therapy required to achieve remission, and identifies risk factors associated with early mortality and with requiring re-induction. At longer follow-up the OS after CRi appears to be inferior to true CR, particularly after clofarabine. We hypothesize that this may be due to higher rates of minimal residual disease in CRi, and studies to determine this are being performed. MLFS is not associated with a better overall survival than frank treatment failure (i.e. residual disease) and therefore its value as a response category is uncertain. These results highlight the role of standard intensive remission induction therapy with the intent of achieving CR, which remains the standard of care for fit older adults. Table. Table. Figure 1. Figure 1. Disclosures Foran: karyopharm: Honoraria; novartis: Honoraria; medscape: Honoraria; Millennium Pharmaceuticals, Inc.: Research Funding; pfizer: Honoraria; boehringer ingelheim: Research Funding; agios: Research Funding; Cellerant: Research Funding. Melnick:Janssen: Research Funding. Altman:Novartis: Honoraria; BMS: Honoraria; Janssen: Honoraria; Syros: Honoraria. Al-Kali:Novartis: Research Funding; Celgene: Research Funding.
Long-Term Outcome of a Phase 1 Study of the Investigational Oral Proteasome Inhibitor (PI) Ixazomib at the Recommended Phase 3 Dose (RP3D) in Patients (Pts) with Relapsed or Refractory Systemic Light-Chain (AL) Amyloidosis (RRAL)
Merlini, Giampaolo , Jeffrey, Zonder A, Kukreti, Vishal , Schoenland, Stefan, Berg, Deborah, Yuan, Zheng , Hui, Ai‐Min , Comenzo, Raymond L. , Schönland, Stefan , Merlini, Giampaolo , Schönland, Stefan , Sanchorawala, Vaishali , Jaccard, Arnaud , Dispenzieri, Angela , Cohen, Adam D. , Palladini, Giovanni

Mayo Clinic

Blood | October 10, 2019 | Volume: 124 | Issue: 21 | Pages: 3450-3450

10.1182/blood.v124.21.3450.3450 Get It

Abstract Background Systemic AL amyloidosis is a life-threatening disease with limited treatment options. Response criteria have been recently updated and retrospectively validated (Palladini et al, J Clin Oncol 2012). Hematologic response (suppression of FLCs) has been shown to predict for both organ response and survival (ibid). Preliminary results from the present phase 1 study (NCT01318902) regarding the safety, tolerability, and maximum tolerated dose (MTD) of ixazomib (the first oral PI to be investigated in the clinic) in RRAL were reported previously (Merlini et al, ASH 2012). At that time, 11 pts had received the MTD/RP3D of ixazomib - 4.0 mg. Here we update the safety data (primary objective) and report hematologic and organ responses, progression-free survival (PFS), and overall survival (OS) (secondary objectives) for the extended population of 22 pts receiving the RP3D. Methods Pts with RRAL after ≥1 prior therapy and with measureable heart/kidney involvement and cardiac biomarker stage I/II disease were eligible. Two expansion cohorts (PI-naïve and PI-exposed) were enrolled at the RP3D. Pts received oral ixazomib on days 1, 8, and 15 for up to 12 x 28-day cycles; continuation until disease progression was allowed. Pts with less than partial response (PR) after 3 cycles received added dexamethasone (Dex) 40 mg, days 1–4 from cycle 4 onwards. Adverse events (AEs) were graded by NCI-CTCAE v4.03. Responses were assessed per standard criteria (Palladini et al, J Clin Oncol 2012). Results At data cut-off (Dec 6, 2013), 27 pts had been enrolled, 22 at the RP3D of ixazomib 4.0 mg; the other 5 pts were enrolled at 5.5 mg and are not included in these analyses. In pts who received ixazomib 4.0 mg, median age was 64.5 yrs (range 54–78); 13 were male. Mayo cardiac biomarker risk stage was I/II/III in 11/10/1 pts, respectively. Median baseline FLC differential (dFLC) and NT-proBNP were 146 mg/L (range 40–734) and 849 pg/mL (range 51–5691). Major organ involvement included heart, kidney, or both in 9, 8, and 5 pts, with a median of 2 (range 1–6) organ systems involved. Pts had received a median of 3 prior therapies, including transplantation in 16 pts; 16 pts had received prior bortezomib (PI exposed) and 6 were PI naïve. Other prior therapies included melphalan (n=21), Dex (n=16), IMiDs (n=11), and cyclophosphamide (n=10). Best hematologic response to prior therapy was complete response (CR) in 3 pts, very good PR (VGPR) in 4, PR in 14, and stable disease (SD) in 1 pt; organ response was achieved by 5 pts, with 12 pts having no response. Exposure and outcome data by prior PI exposure are shown in the table. Pts discontinued due to disease progression (n=6), pt withdrawal, symptomatic deterioration (each n=3), or unsatisfactory response (n=2); 5 pts completed 12 cycles; 3 pts are ongoing. Overall hematologic response rate (ORR) was 52%. After a median follow-up of 16.9 mos, the 9 pts who achieved ≥VGPR, had a median PFS of 17.0 mos compared with 10.7 mos in pts who achieved a lesser response (p=0.03). Cardiac/renal response was observed in 50%/18% of pts (all ≥VGPR). The most common drug-related AEs included diarrhea, nausea (each n=7), fatigue, thrombocytopenia (each n=6), peripheral neuropathy, and pyrexia (each n=4). Drug-related grade 3 AEs (>1 pt) were thrombocytopenia (n=3), diarrhea, and maculo-papular rash (each n=2). Table.PI naïven=6PI exposed n=16TotalN=22Cycles received, median (range)12 (1–22)3.5 (1–16)5.5 (1–22)Dex added, n358Hematologic response-evaluable ptsn=5n=16N=21Response, n (%)ORR5 (100)6 (38)11 (52)CR2 (40)02 (10)VGPR3 (60)4 (25)7 (33)PR02 (13)2 (10)SD09 (56)9 (43)Cardiac response/heart evaluable, n/N (%)3/4 (75)3/8 (38)6/12 (50)Renal response/kidney evaluable, n/N (%)1/3 (33)1/8 (13)2/11 (18)1 yr hematologic PFS rate, %8341602 yr OS rate, %835157 Conclusions This is one of the first studies prospectively assessing hematologic and organ response according to the updated consensus criteria. These data suggest weekly oral ixazomib 4.0 mg is feasible and generally well tolerated in RRAL pts with vital organ dysfunction. High quality hematologic responses (≥VGPR) were observed in 43% of pts; these responses were sustained at 1 yr in 60% of this heavily-pretreated population. Achieving ≥VGPR was associated with cardiac response and extended PFS. These results warrant a phase 3 study of ixazomib plus Dex vs physician's choice of treatment, which is ongoing (NCT01659658). Disclosures Merlini: Pfizer: Honoraria; Millennium: the Takeda Oncology Company: Consultancy, Honoraria, Speakers Bureau. Off Label Use: Use of the investigational agent ixazomib, an oral proteasome inhibitor, in the treatment of relapsed or refractory light-chain amyloidosis. Sanchorawala:Celgene: Research Funding; Millennium: the Takeda Oncology Company: Research Funding; Onyx: Research Funding. Jeffrey:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees. Kukreti:Celgene: Consultancy, Honoraria. Schoenland:Celgene: Honoraria, Research Funding, Speakers Bureau; Janssen: Honoraria, Research Funding, Speakers Bureau. Jaccard:Celgene: Honoraria, Research Funding; Janssen: Honoraria. Dispenzieri:Millennium: the Takeda Oncology Company: Research Funding; Celgene: Research Funding; Pfizer: Research Funding; Janssen: Research Funding. Cohen:Onyx Pharmaceuticals: Advisory Board, Advisory Board Other; Bristol-Myers Squibb: Advisory Board, Advisory Board Other, Research Funding; Janssen: Advisory Board, Advisory Board Other; Celgene: Member, Independent Response Adjudication Committee Other. Berg:Takeda Pharmaceutical International Co.: Employment. Yuan:Takeda Pharmaceutical International Co.: Employment. Hui:Takeda Pharmaceutical International Co.: Employment. Comenzo:Millennium:the Takeda Oncology Company: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Teva: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau.
Genetic Susceptibility Markers of Multiple Myeloma in African-Americans
Rand, Kristin A. , Song, Chi , Hwang, Amie E. , Huff, Carol Ann , Bernal‐Mizrachi, Leon , Sheng, Xin , Graff, John J., Zimmerman, Todd M., Pawlish, Karen , Stram, Alexander , Strom, Sara S., Terebelo, Howard R. , Stanford, Janet L. , Goodman, Phyllis J. , Berndt, Sonja I. , Carpten, John, Hennis, Anselm , Chu, Lisa W., Driver, W. Ryan, Leske, M. Christina, Murphy, Adam B. , Stevens, Victoria L. , Pettaway, Curtis A. , Witte, John S. , Zheng, Siqun L., Xu, Jianfeng , Munshi, Nikhil C. , Hsing, Ann W. , Mehta, Jayesh, Signorello, Lisa B., Nemesure, Barbara , Mohrbacher, Ann, Janakiraman, Nalini, Blot, William J. , Henderson, Brian E., Kolonel, Laurence N. , Zonder, Jeffrey A. , Haiman, Christopher, Tomasson, Michael H. , Ailawadhi, Sikander , Berg, David Van Den , Conti, David V. , Peters, Edward , Singhal, Seema , Bock, Cathryn Hufford , Colditz, Graham A. , Stram, Alex , Rybicki, Benjamin A. , Kittles, Rick A. , Casey, Graham , Klein, Eric A. , John, Esther M. , Neslund-Dudas, Christine M , Zheng, Wei , Wu, Szu‐Yuan , Ingles, Sue A. , Chanock, Stephen Jacob , Anderson, Kenneth C. , Chiu, Brian C.‐H. , Orlowski, Robert Z. , Lonial, Sagar , Stram, Daniel O. , Cozen, Wendy

Mayo Clinic

Blood | October 10, 2019 | Volume: 124 | Issue: 21 | Pages: 2030-2030

10.1182/blood.v124.21.2030.2030 Get It

Abstract Multiple myeloma (MM) is 2-3 times more common among African-Americans compared to non-Hispanic whites. The 2-3-fold increased risk among family members of cases suggests a genetic contribution to risk. Genome-wide association studies (GWAS) in populations of European ancestry have identified seven novel risk loci at 2p23.3 (rs6746082), 3q26.2 (rs10936599), 3p22.1 (rs1052501), 6p21.32 (rs2285803), 7p15.3 (rs4487645), 17p11.2 (rs4273077) and 22q13.1 (rs877529) (Broderick, et al. Nat Genet, 2011, Chubb, et al. Nat Genet, 2013), three of which were replicated in another European series (Martino et al., Br J Haematol, 2012). Here we examined the index signals and conducted fine-mapping for each locus in a case-control study of 1,049 multiple myeloma cases and 7,084 controls of African ancestry to identify better markers of risk and novel independent loci in seven previously reported regions in this high risk population. Incident cases were recruited from 10 clinical centers and SEER cancer registries from 2011 to 2013 and genotyped using the Illumina HumanCore GWAS array. Control data were obtained from previous genome-wide studies of breast and prostate cancer, genotyped using the Illumina 1M-Duo in 4425 male controls from the African Ancestry Prostate Cancer Consortium (consisting of 14 independent studies) and 2632 female controls from a breast cancer GWAS of African-American women (consisting of 9 independent studies). Imputation to 1000 Genomes (March 2012 release) was conducted for regions around six of the previously identified single nucleotide polymorphisms [SNPs] (the HLA region harboring rs2285803 is still being imputed, results will be presented). A case-control analysis of SNPs/indels >1% frequency within 250 kb of each index variant was conducted using unconditional multivariable logistic regression adjusting for age, sex and five leading principal components. Region-specific alpha levels were determined through permutation tests. The minimum alpha level across the six regions was α=0.002. All previously reported risk variants were common in African-Americans (minor allele frequency [MAF] >0.05). For five of the six SNPs, we had ≥94% power to detect the same effect observed in non-Hispanic whites, and 64% power for the less common variant rs10936599 (MAF=0.07). We observed directionally consistent effects (odds ratio [OR]>1) for the six risk variants tested, with three replicating at p≤0.05 (7p15.3, p=1.4x10-7; 17p11.2, p=0.05; 22q13.1, p=0.02). For three of the six regions, we observed better markers of risk in African-Americans that were correlated with the index SNP in Europeans (7p15.3, rs56333627, p=1.5x10-5, r2=0.89; 17p11.2, rs34562254, p=2.9x10-3, r2=0.90; 22q13.1, rs2092410, p=1.1x10-4 r2=.71). The missense variant identified in the 17p11.2 region (rs34562254, Pro251Leu) is located in TNFRSF13B, which encodes the protein TACI, a B cell surface receptor which plays a role in B cell maturation, apoptosis and antibody production by inducing activation of transcription factors including NFAT and NFκβ. In addition, there is evidence suggesting that TACI is involved in MM pathogenesis. Our results demonstrate that many of the risk loci for MM found in European ancestry populations are also risk loci in men and women of African ancestry and that by fine-mapping, we are able to identify variants that better capture risk in populations of African ancestry. Disclosures Terebelo: Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Lonial:Millennium: The Takeda Oncology Company: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding.
Deficient ADAMTS13 Activity in Ticlopidine-Associated Thrombotic Thrombocytopenic Purpura (TTP) in Populations From Japan in 2012: Validation of Findings Initially Reported in the United States in 1998 and 2000.
Bennett, Charles L. , Jacob, Sony, Dunn, Brianne L., Qureshi, Zaina P. , Bandarenko, Nicholas, Kwaan, Hau C. , Kiss, Joseph E. , Danielson, Constance, Raife, Thomas J. , Clark, William F. , Rock, Gail, Raisch, Dennis W., Fujimura, Yoshihiro , Matsumoto, Masanori , Georgantopoulos, Peter , Winters, Jeffrey L. , Sarode, Ravi , Ortel, Thomas L. , Rock, Gail, Zheng, X. Long

Mayo Clinic

Blood | October 9, 2019 | Volume: 120 | Issue: 21 | Pages: 2203-2203

10.1182/blood.v120.21.2203.2203 Get It

Abstract Abstract 2203 Background: Thrombotic thrombocytopenic purpura (TTP) is frequently characterized by severe ADAMTS13 deficiency, the cause of which is unknown. An important exception is ticlopidine-associated TTP (tc-TTP), the most common drug-induced TTP syndrome. In 1998, a possible association of TTP with ticlopidine was reported. In 1999, two additional series reported this association. In 2000, a fourth study reported severe A DAMTS13 deficiency among six of seven tc-TTP persons- suggesting a causal pathway. All of these reports were from the United States. Recently, we reported characteristics of 186 acquired idiopathic (ai)- TTP patients in Japan with severe ADAMTS13 deficiency, noting that clinical and laboratory findings for ai-TTP patients in Japan differed from those for cohorts of ai-TTP patients in Europe and North America- raising concern that TTP findings vary by region of the world. (PLOS One 2011) We now on report clinical and laboratory characteristics of a cohort of TTP patients from Japan with tc-TTP, and compare these findings to three cohorts of tc-TTP in the United States and one cohort of ai-TTP patients from Japan. Methods: We queried a database of thrombotic microangiopathy patients identified from a national TTP referral laboratory in Japan of cases identified between 1998 and 2008. Severe ADAMTS13 deficiency was characterized by activity levels < 5%. All tc-TTP patients and 186 of 911 ai-TTP patients in the database had severe ADAMTS13 deficiency and first onset of TTP. Comparisons were made to tc-TTP patients reported previously from the United States. Results: Characteristics of ai- TTP with severe ADAMTS13 deficiency in Japan and tc-TTP in Japan and US Conclusions: These data from Japan validate insights about tc-TTP initially proposed in 1998, 1999, and 2000 in the United States. Ticlopidine is a likely cause of TTP, the mechanism is via a cross-reactive antibody to ADAMTS13:AC resulting in formation of an ADAMTS13:INH, and therapeutic plasma exchange is necessary for treatment. Disclosures: Ortel: Eisai: Research Funding; Glaxo SmithKline: Research Funding; Pfizer: Research Funding; Instrumentation Laboratory, Inc: Consultancy, Research Funding; Boehringer Ingelheim: Consultancy. Fujimura:Baxter BioScience: Membership on an entity's Board of Directors or advisory committees; Alexion Pharma: Membership on an entity's Board of Directors or advisory committees.
Top Ten Tips Palliative Care Clinicians Should Know About Physical Medicine and Rehabilitation
Brassil, Michelle E., Zheng, Jasmine , Smith, Sean R. , Tolchin, Dorothy W. , Wittry, Sarah A. , Jones, Christopher A. , Chernack, Betty, Cheville, Andrea , Jones, C. P.

Mayo Clinic

Journal of Palliative Medicine | September 26, 2019 | Volume: 23 | Issue: 1 | Pages: 129-135

10.1089/jpm.2019.0440 | PMID 31556786 Get It

Physical medicine and rehabilitation (PM&R) is a specialty of medicine focused on optimizing function and quality of life for individuals with physical impairments, injuries, or disabling illnesses. Given the sometimes acute nature of the loss of function and even loss of independence, there are significant palliative care (PC) needs within patients seen by PM&R. This article, written by a team of PM&R and PC specialists, aims to help the PC team better understand the world of postacute care, expand their toolkit for treating musculoskeletal and neurological symptoms, improve prognostication for patients with brain and spinal cord injuries, and decide when patients may benefit from PM&R consultation and support. There is significant overlap between the populations treated by PM&R and PC. Better integration between these specialties will help patients to maintain independence as well as advance excellent patient-centered care.
Exclusive use of PowerFlow ports may not be appropriate for all patients
Boshell, Michael N., Adamski, Jill , Pham, Huy P. , Guillory, Bryan, Sikora, James , Lisby, Stephanie, Lovingood, Ashley, Zheng, Xuemei , Williams, Lance A , Pham, Huy P , Marques, Marisa B.

Mayo Clinic

Journal of Clinical Apheresis | September 18, 2019 | Volume: 35 | Issue: 1 | Pages: 66-68

10.1002/jca.21749 | PMID 31532839 Get It

Genetic overlap between autoimmune diseases and non‐Hodgkin lymphoma subtypes
Din, Lennox, Kosaraju, Nikitha , Smedby, Karin E. , Berndt, Sonja I. , Skibola, Christine F., Nieters, Alexandra, Wang, Sophia , McKay, James , Cocco, Pierluigi , Foretová, Lenka , Staines, Anthony , Mack, Thomas M. , Sanjosé, Sílvia de , Vyse, Timothy J. , Padyukov, Leonid , Monnereau, Alain , Arslan, Alan A. , Moore, Amy , Brooks‐Wilson, Angela , Novak, Anne J. , Glimelius, Bengt , Birmann, Brenda M. , Link, Brian K. , Stewart, Carolyn, Vajdic, Claire M. , Magnani, Corrado , Conti, David V. , Cox, David G. , Casabonne, Delphine, Kane, Eleanor , Roman, Eve , Salles, Gilles , Adami, Hans‐Olov , Ghesquières, Hervé , Vivo, Immaculata De , Clavel, Jacqueline , Spinelli, John J., Curtin, Karen , Costenbader, Karen H. , Onel, Kenan , Offit, Kenneth , Morton, Lindsay M. , Conde, Lucía , Miligi, Lucia , Melbye, Mads , Liebow, Mark , Purdue, Mark P. , Glenn, Martha, Din, M. Azhar Ud, Rothman, Nathaniel , Camp, Nicola J. , Doo, Nicole Wong , Becker, Nikolaus, Pradhan, Nisha , Bracci, Paige M. , Vineis, Paolo , Brennan, Paul , Kraft, Peter , Lan, Qing , Severson, Richard K., Vermeulen, Roel , Kaaks, Rudolph, Travis, Ruth C. , Weinstein, Stephanie J. , Ansell, Stephen M. , Zheng, Tongzhang, Benavente, Yolanda , Taub, Zachary, Madireddy, Lohith, Gourraud, Pierre‐Antoine , Oksenberg, Jorge R. , Hjalgrim, Henrik , Khankhanian, Pouya , Cerhan, James R , Khankhanian, Pouya , Link, Brian K , Cocco, Pierluigi , Brooks-Wilson, Angela R , Vajdic, Claire M , Kane, Eleanor , Arslan, Alan A , Travis, Ruth C , De Vivo, Immaculata , Kraft, Peter , Morton, Lindsay M , Padyukov, Leonid , Salles, Gilles A , Wang, Sophia S , Birmann, Brenda M , Roman, Eve , Clavel, Jacqueline , Conti, David V , Doo, Nicole Wong , Sheikh, Mohammad, Bernatsky, Sasha , Maynadié, Marc , Haïoun, Corinne , Casabonne, Delphine , Albanes, Demetrius , Muzi, Giacomo , Giles, Graham G. , Cerhan, James R. , Hofmann, Jonathan N. , Vijai, Joseph , Teras, Lauren R. , Ennas, Maria Grazia , Southey, Melissa C. , Boffetta, Paolo , Milne, Roger L. , Chanock, Stephen Jacob , Slager, Susan L. , Zhang, Yawei , Cozen, Wendy

Mayo Clinic

Genetic Epidemiology | August 13, 2019 | Volume: 43 | Issue: 7 | Pages: 844-863

10.1002/gepi.22242 | PMID 31407831 Get It

AbstractEpidemiologic studies show an increased risk of non‐Hodgkin lymphoma (NHL) in patients with autoimmune disease (AD), due to a combination of shared environmental factors and/or genetic factors, or a causative cascade: chronic inflammation/antigen‐stimulation in one disease leads to another. Here we assess shared genetic risk in genome‐wide‐association‐studies (GWAS).Secondary analysis of GWAS of NHL subtypes (chronic lymphocytic leukemia, diffuse large B‐cell lymphoma, follicular lymphoma, and marginal zone lymphoma) and ADs (rheumatoid arthritis, systemic lupus erythematosus, and multiple sclerosis). Shared genetic risk was assessed by (a) description of regional genetic of overlap, (b) polygenic risk score (PRS), (c)"diseasome", (d)meta‐analysis.Descriptive analysis revealed few shared genetic factors between each AD and each NHL subtype. The PRS of ADs were not increased in NHL patients (nor vice versa). In the diseasome, NHLs shared more genetic etiology with ADs than solid cancers (p = .0041). A meta‐analysis (combing AD with NHL) implicated genes of apoptosis and telomere length.This GWAS‐based analysis four NHL subtypes and three ADs revealed few weakly‐associated shared loci, explaining little total risk. This suggests common genetic variation, as assessed by GWAS in these sample sizes, may not be the primary explanation for the link between these ADs and NHLs.
Abstract 598: Genetically predicted concentration of circulating proteins and epithelial ovarian cancer risk
Shu, Xiao-Ou , Shu, Xiao‐Ou, Moysich, Kirsten B. , Goode, Ellen L. , Sellers, Thomas A. , Jia, Guochong , Long, Jirong , Cai, Qiuyin , Zheng, Wei

Mayo Clinic

Cancer Research | August 7, 2019 | Volume: 79 | Issue: 13_Supplement | Pages: 598-598

10.1158/1538-7445.am2019-598 Get It

Abstract Epithelial ovarian cancer (EOC) is the most common gynecological cancer, and ranks fifth in cancer deaths among women in the United States. Previous studies have identified several circulating proteins biomarkers for EOC risk, such as CA125 antigen and insulin-like growth factor-1 (IGF-1). However, previous studies on protein biomarkers for EOC were limited with small sample sizes, and only a few proteins investigated. In this study, we integrated genomics and proteomics data to search for novel circulating protein biomarkers for EOC risk. We constructed study instruments using genetic variants for protein quantitative trait loci (pQTL) for over 1,400 circulating proteins. Beta coefficients and standard errors of the selected pQTL variants in relation to EOC risk were obtained from 25,509 EOC cases and 40,941 controls from the Ovarian Cancer Association Consortium (OCAC). An inverse-variance weighted method was used to evaluate the association of these genetically predicted protein levels and risk of overall and serous EOC. We identified 35 protein biomarkers, for which their genetically predicted levels were significantly associated with the risk of either overall or serous EOC (false discovery rate &lt;0.05). There are 25 proteins showing significant associations with both overall and serous EOC; most of the associations were stronger for serous EOC than overall EOC. The association for 31 proteins could be attributed, in part, to variants at ABO 9q34.2, a known ovarian cancer susceptibility locus. Five ABO locus-related proteins are in the PI3K-Akt signaling pathway, including insulin-like growth factor 1 receptor, hepatocyte growth factor receptor, interleukin-3 receptor subunit alpha, insulin receptor, and vascular endothelial growth factor receptor 2. Four of these proteins are also in the Rap1 and Ras signaling pathway. These five proteins are all inversely associated with the risk of overall EOC, with odds ratios ranging from 0.64 to 0.93 per unit increase in genetic risk scores (p values: 7.55×10-7 to 5.66×10-2). Four EOC associated proteins which were not influenced by variants in 9q34.2 are microfibrillar-associated protein 2, protein delta homolog 1, semenogelin-2, and netrin-G1, all of which showed significant associations with overall EOC, but not the serous subtype. Our study identifies potential novel biomarkers for ovarian cancer and suggests that genetic variants at locus 9q34.2 may play a role in the relation between levels of these proteins and risk of ovarian cancer. Citation Format: Guochong Jia, Xiang Shu, Xiao-Ou Shu, Jirong Long, Qiuyin Cai, Kirsten B. Moysich, Ellen L. Goode, Thomas A. Sellers, Wei Zheng. Genetically predicted concentration of circulating proteins and epithelial ovarian cancer risk [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 598.
Abstract 1591: Large-scale transcriptome-wide association study (TWAS) identifies novel candidate susceptibility genes for pancreatic cancer
Zhong, Jun, Jermusyk, Ashley , Wu, Lang , Collins, Irene , Song, Lei , Chung, Charles C., Xiao, Wenming , Wolpin, Brian M. , Chatterjee, Nilanjan , Shi, Jianxin , Petersen, Gloria M. , Hoskins, Jason W. , Zhang, Mingfeng , Zhang, Tongwu , Stolzenberg‐Solomon, Rachael Z. , Klein, Alison P. , Shu, Xiao‐Ou , Chanock, Stephen Jacob , Olson, Sara H. , Smith, Jill Palmer , Kraft, Peter , Zheng, Wei , Ámundadóttir, Laufey T.

Mayo Clinic

Cancer Research | August 7, 2019 | Volume: 79 | Issue: 13_Supplement | Pages: 1591-1591

10.1158/1538-7445.am2019-1591 Get It

Abstract Pancreatic Ductal Adenocarcinoma (PDAC) is the third leading cause of cancer-related deaths in United States with a 5-year survival rate of only 8%. Inherited predisposition plays an important role in PDAC risk. Rare, moderately to highly penetrant mutations in hereditary cancer and pancreatitis genes, identified in families with a high incidence of disease, account for a small fraction of cases. At the other end of the spectrum, common risk variants of low penetrance have been discovered through genome-wide association studies (GWAS). Currently, over 20 common PDAC risk signals have been identified through GWAS in populations of European ancestry. However, these loci explain only a small fraction of genetic heritability for PDAC, and the causal genes for the large majority of these are unknown. Most susceptibility alleles discovered through GWAS are located in noncoding regions of the genome and are likely to function through allele specific regulation of gene expression. Transcriptome-wide association studies integrate expression quantitative trait loci (eQTL) with GWAS data to discover genes whose cis-regulated expression is associated with complex traits. To identify novel susceptibility loci and likely causal genes, we applied this approach to PDAC. Firstly, we used two reference datasets generated from histologically normal pancreatic tissue samples from individuals of European ancestry, the DCEG/LTG (n=95) and Genotype-Tissue Expression (GTEx v7, n=174), to build robust predictors for gene expression (n=2,872-5,906; r2&gt;0.01), using 5 different models (Top1, Lasso, Enet, Blup and Bslmm) in FUSION and PrediXcan. Gene expression predictors (n=2,043-21,422) were also generated by Enet in 48 different tissues (n=74-421 samples) from 608 individuals of European ancestry (GTEx). We then applied these predictor models to PDAC GWAS summary statistics from 9,040 PC cases and 12,496 controls. We discovered 24 genes whose genetically predicted expression is significantly associated with PDAC risk (FDR &lt; 0.05), including 13 candidate genes at 10 novel loci (CELA3B, SMC2, SMC2-AS1, RP11-80H5.9, SMUG1, BTBD6, RCCD1, PNMT, CDK12, PGAP3, SUPT4H1, RP11-888D10.3 and PGPEP1) and 11 at 5 known risk loci (TERT, CLPTM1L, ZDHHC11B, INHBA, ABO, PDX1, KLF5, WDR59, CFDP1, BCAR1 and TMEM170A). Pathway enrichment analysis for genes differentially expressed in the top vs. bottom quartile of CELA3B expression highlighted higher expression of inflammatory and immune response genes in both the DCEG/LTG and GTEx pancreatic transcriptome datasets, indicating that low expression of this gene may be associated with an inflammatory state in the pancreas. Our findings showcase the utility of integrating multiple datasets to generate hypotheses and provide novel clues for the genetic mechanisms underlying pancreatic cancer risk. Citation Format: Jun Zhong, Ashley Jermusyk, Lang Wu, Jason W. Hoskins, Irene Collins, Mingfeng Zhang, Song Lei, Charles C. Chung, Tongwu Zhang, Wenming Xiao, Rachael Stolzenberg-Solomon, Alison P. Klein, Brian M. Wolpin, Xiao-Ou Shu, Stephen J. Chanock, Sara Olson, Nilanjan Chatterjee, Jill Smith, Jianxin Shi, Peter Kraft, Gloria M. Petersen, Wei Zheng, Laufey T. Amundadottir. Large-scale transcriptome-wide association study (TWAS) identifies novel candidate susceptibility genes for pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1591.
FTLD-TDP With and Without GRN Mutations Cause Different Patterns of CA1 Pathology
Mao, Qinwen , Zheng, Xiaojing , Gefen, Tamar , Rogalskı, Emily , Spencer, Callen, Rademakers, Rosa , Fought, Angela J. , Kohler, Missia, Weıntraub, Sandra , Mesulam, Marek-Marsel, Bigio, Eileen H. , Xia, Haibin , Mesulam, Marek-Marsel, Mao, Qinwen

Mayo Clinic

Journal of Neuropathology & Experimental Neurology | July 30, 2019 | Volume: 78 | Issue: 9 | Pages: 844-853

10.1093/jnen/nlz059 | PMID 31361008 Get It

Abstract Heterozygous loss-of-function mutations in the GRN gene lead to progranulin (PGRN) haploinsufficiency and cause frontotemporal lobar degeneration with TDP-43 pathology type A (FTLD-TDP type A). PGRN is a highly conserved, secreted glycoprotein and functions in the central nervous system as a key modulator of microglial function. Hence, altered microglial function caused by PGRN deficiency may be tied to the pathogenesis of FTLD-TDP. Our previous studies showed that haploinsufficiency of GRN mutations extends to microglial PGRN expression in the hippocampal CA1 region. In this study, we found that the CA1 sector was associated with less neuronal loss and more frequent TDP-43 inclusions in FTLD-TDP type A cases with GRN mutations than in sporadic cases. In addition, the CA1 region in GRN mutation cases contained more rod-like microglia, which also had reduced PGRN expression. These findings suggest that the profile of TDP-43 inclusions, neuronal number, and microgliosis in the CA1 sector of FTLD-TDP type A cases may be influenced by GRN gene expression status.