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586 citation(s) found for "Da, Xiao".

Catheter ablation of premature ventricular contractions originating from periprosthetic aortic valve regions
Han, Jie , Lee, Justin Z. , Padmanabhan, Deepak , Naksuk, Niyada , Asirvatham, Samuel J. , Munger, Thomas M. , Killu, Ammar M. , Madhavan, Malini , Xiao, Pei-Lin, Zheng, Liangrong , Cha, Yong‐Mei , Asirvatham, Samuel J

Journal of Cardiovascular Electrophysiology | December 11, 2020 | Volume: 32 | Issue: 2 | Pages: 400-408

10.1111/jce.14836 | PMID 33305865 Get It

AbstractBackgroundLittle is known about the ablation outcomes of premature ventricular contractions (PVCs) that originate from the periprosthetic aortic valve (PPAV) regions of patients with aortic valve replacement (AVR).Methods and ResultsOur study had 11 patients who underwent catheter ablation for PVCs arising from the PPAV regions (bioprosthetic aortic valve, n = 5; mechanical aortic valve, n = 6). The PVC characteristics, procedure characteristics, and efficacy of ablation were compared with the control group (n = 33). At baseline, the PPAV group had a lower left ventricular ejection fraction (mean [SD], 41% [12%] vs. 51% [8%]; p = .002). The rate of acute ablation success was 90.9% in the PPAV group. Ablation sites were identified above the left coronary cusp (LCC) and right coronary cusp commissure (LRCC) in one PVC, below the prosthetic valve in eight PVCs (four below LCC and four below LRCC), and within the distal coronary sinus in two PVCs. The mean procedure time, fluoroscopy time, and radiation in the PPAV group were all significantly greater than those in the control group (all p < .05). However, the number of radiofrequency ablation energy deliveries was not different. The PPAV group had a long‐term success rate compared with the control group (72.7% vs. 87.9%, p = .48) and an increase of left ventricular ejection fraction from 43% to 49% after successful PVC ablation at follow‐up (p < .001). Echocardiography showed no significant change in valve regurgitation after ablation. No new atrioventricular block occurred.ConclusionPVCs arising from PPAV regions can be successfully ablated in patients with prior AVR, without damaging the prosthetic aortic valve and atrioventricular conduction.
Activation pattern during his pacing: how close are we to normal physiology?
Yasin, Omar , Vaidya, Vaibhav R. , Tri, Jason , Zyl, Martin van , Ladejobi, Adetola, Scheuermann, Carolin, Bush, J , Taubel, R, Pedersen, Joanne, Yngsdal, Lisa, Asirvatham, S, Cha, Y, Xiao, Ping , Han, Jin

European Heart Journal | November 26, 2020 | Volume: 41 | Issue: Supplement_2 | Pages: No page available

10.1093/ehjci/ehaa946.0804 Get It

Abstract Background His bundle pacing aims to mimic the activation pattern of normal conduction to maintain ventricular synchrony. However, selective His capture can be challenging, and the activation sequence during His pacing may not replicate normal conduction. Purpose Compare the right ventricular (RV) and left ventricular (LV) activation pattern in sinus rhythm and His bundle pacing. Methods Baseline LV and RV map was created in sinus rhythm using Rhythmia mapping system (Boston Scientific Corporation) in canine animal model. Medtronic 3830 lead was placed near the bundle of His under fluoroscopic, intracardiac echocardiogram, and electroanatomic guidance. Conduction system capture was confirmed by observing a QRS duration &lt;120ms and an isoelectric segment between pacing artifact and QRS on surface ECG. Repeat LV and RV activation map was obtained during His pacing. Average QRS, HV and pacing to V intervals were calculated with standard deviation. Results Mapping was performed successfully in four animals. At baseline, the average QRS duration was 44±2.6ms and HV interval was 32±4.2ms. Earliest site of myocardial activation was in the mid-septal LV region. The earliest RV myocardial activation was also at the septum closer to the apex, but later than the LV (Figure1A). With His pacing, the average QRS duration was 70±17.0ms and the average stim to V interval was 31±8.7ms. During His pacing, the earliest site of activation was in the RV septum, with an activation pattern from base to apex in both the RV and LV. Conclusion Unlike normal physiology, the activation pattern during conduction system pacing is from base to apex with earliest site in the RV. Funding Acknowledgement Type of funding source: Public hospital(s). Main funding source(s): Mayo Clinic
Endothelial p300 Promotes Portal Hypertension and Hepatic Fibrosis Through C‐C Motif Chemokine Ligand 2–Mediated Angiocrine Signaling
Gao, Jinhang , Liu, Mengfei , Hirsova, Petra , Sehrawat, Tejasav S. , Cao, Sheng , Hu, Xiao , Xue, Fei , Yaqoob, Usman , Kang, Ningling , Cui, Huarui , Kostallari, Enis , Shah, Vijay H. , Hirsova, Petra , Sehrawat, Tejasav S , Kostallari, Enis , Shah, Vijay H , Gao, Jinhang , Wei, Bo , Yaqoob, Usman , Pomerantz, William C. K.

Hepatology | November 7, 2020 | Volume: 73 | Issue: 6 | Pages: 2468-2483

10.1002/hep.31617 | PMID 33159815 Get It

Background and Aims During liver fibrosis, liver sinusoidal endothelial cells (LSECs) release angiocrine signals to recruit inflammatory cells into the liver. p300, a master regulator of gene transcription, is associated with pathological inflammatory response. Therefore, we examined how endothelial p300 regulates angiocrine signaling and inflammation related to portal hypertension and fibrogenesis. Approach and Results CCl4 or partial inferior vena cava ligation (pIVCL) was used to induce liver injury. Mice with LSEC‐specific p300 deletion (p300 LSECΔ/Δ) or C‐C motif chemokine ligand 2 (Ccl2) deficiency, nuclear factor kappa B (NFκB)–p50 knockout mice, and bromodomain containing 4 (BRD4) inhibitors in wild‐type mice were used to investigate mechanisms of inflammation regulation. Leukocytes were analyzed by mass cytometry by time‐of‐flight. Epigenetic histone marks were modified by CRISPR endonuclease‐deficient CRISPR‐associated 9‐fused with the Krüppel associated box domain (CRISPR‐dCas9‐KRAB)–mediated epigenome editing. Portal pressure and liver fibrosis were reduced in p300 LSECΔ/Δ mice compared to p300 fl/fl mice following liver injury. Accumulation of macrophages was also reduced in p300 LSECΔ/Δ mouse livers. Ccl2 was the most up‐regulated chemokine in injured LSECs, but its increase was abrogated in p300 LSECΔ/Δ mice. While the macrophage accumulation was increased in NFκB‐p50 knockout mice with enhanced NFκB activity, it was reduced in mice with LSEC‐specific Ccl2 deficiency and mice treated with specific BRD4 inhibitors. In vitro, epigenome editing of CCL2 enhancer and promoter regions by CRISPR‐dCas9‐KRAB technology repressed TNFα‐induced CCL2 transcription through H3K9 trimethylation. In contrast, TNFα activated CCL2 transcription by promoting p300 interaction with NFκB and BRD4, leading to histone H3 lysine 27 acetylation at CCL2 enhancer and promoter regions. Conclusions In summary, endothelial p300 interaction with NFκB and BRD4 increases CCL2 expression, leading to macrophage accumulation, portal hypertension, and liver fibrosis. Inhibition of p300 and its binding partners might serve as therapy in the treatment of liver diseases.
Clinical Value of Next Generation Sequencing in the Detection of Recurring Structural Rearrangements and Copy Number Abnormalities in Acute Myeloid Leukemia
Sharma, Neeraj , Zepeda‐Mendoza, Cinthya , Smadbeck, James B. , Pearce, Kathryn E., Smoley, Stephanie A., Vasmatzis, George , Viswanatha, David S., Jenkins, Robert B. , Xu, Xinjie , Xiao, Sheng , Hoppman, Nicole L., Pitel, Beth A. , Cook, Joselle , Sachs, Zohar , Ketterling, Rhett P. , Peterson, Jess F. , Greipp, Patricia T. , Baughn, Linda B. , Sharma, Neeraj

Blood | November 4, 2020 | Volume: 136 | Issue: Supplement 1 | Pages: 21-22

10.1182/blood-2020-139691 Get It

Purpose: Acute myeloid leukemia (AML) is the most common acute leukemia in adults, affecting approximately 20,000 patients annually in the United States. AML genetic subtypes, as defined by the World Health Organization (WHO), are identified through fluorescence in situ hybridization (FISH), conventional chromosome analysis, and sequencing techniques. Mate pair sequencing (MPseq) is a next generation sequencing (NGS) technology optimized to detect genome wide structural variants and copy number alterations at high resolution. Our study goal was to investigate the prognostic value of MPseq in comparison to FISH, chromosome, and sequencing studies in the evaluation of AML patients. Methods: We performed a prospective study using blood and bone marrow samples from 105 patients with a diagnosis of AML, using MPseq, along with chromosome, FISH, and NGS or PCR studies to detect small mutations. Cytogenetic and molecular genetic results were correlated with MPseq findings. We also analyzed the MPseq data for chromoplexy, chromothripsis, and progressive complexity. Junction and copy number burden, the incidence of structural variation in the genome and the percent of the genome with aberrant copy number, were evaluated. Overall survival statistics were stratified by AML subtypes and observed anomalies. Results: Although structural variants in AML were characterized at a high resolution using MPseq when compared to conventional cytogenetic methods, risk stratification using current European Leukemia Net (ELN) guidelines was not improved by MPseq. The cohorts involving 5q and/or 7q deletions exhibited high levels of genomic complexity when compared to normal karyotype AML (NK-AML). The incidence of copy number gains, losses and junctions was greatest in 5q and 7q co-deletions (5q/7q) (16.5, 25.0, 69.3) and 5q deletions (5q) (9.8, 16.7, 31.6) subtypes compared to 7q deletions (3.4, 7.0, 6.7) and NK-AML (2.6, 4.3, 3.8) (p&lt;0.001) subtypes. Chromoplexy, chromothripsis, and progressive structural complexity were detected in most samples with 5q deletions and 5q/7q co-deletions, but absent in samples with 7q or NK-AML. Biallelic inactivation of TP53 by sequencing mutation and/or deletion was common in the 5q/7q co-deletion (14/18 cases) and 5q deletion cohorts (7/10 cases), rare in the 7q deletion cohort (1/11 cases), and absent in the NK-AML (n=44) cohort. The median OS was significantly worse for patients with 5q/7q deletions (122.5 days) and 5q deletions (248 days) compared to NK-AML (413.5 days; p&lt;0.001 and p=0.017, respectively) and between 5q/7q deletions and 7q deletions (370.5 days; p&lt;0.001). No significant difference was observed between 5q/7q and 5q deletion subtypes, between NK and 7q deletion subtypes and between 5q and 7q deletion subtypes. The median OS was also significantly shorter for patients with TP53 alterations compared to patients with normal TP53 status. Patients with chromoplexy, chromothripsis and/or progressive structural complexity identified by MPseq had a significantly shorter median OS compared to patients without these features. (p&lt;0.0001) Discussion: Risk stratifications based on current guidelines using cytogenetic and sequencing results were not adjusted due to MPseq results, which is not surprising when primary abnormalities are observed by conventional cytogenetic methods. NK-AML cases did not appear to benefit from a high resolution genomic evaluation. However, MPseq added value when structural variation required additional characterization, detecting novel rearrangements, such as a KAT6A/SORBS3 fusion. Lastly, we recognized common mischaracterizations made by conventional chromosome studies - including missed TP53 deletions in 7 cases, 5q/7q deletions misinterpreted as monosomies, cryptic NUP98 rearrangements, and unappreciated genomic complexity correlating with poor OS. These mischaracterizations challenge the use of conventional chromosome studies as a gold standard without accompanying FISH or MPseq studies. MPseq, similar to other structural methodologies such as optical mapping and long read sequencing, should be considered important complements to standard cytologic techniques given the important additional genomic information obtained. The additional structural variant characterization will be critical in paving the way for genomic discovery with the overall goal of improving prognostication for patient care. Figure Disclosures Vasmatzis: WholeGenome LLC.: Other: Owner; Mayo Clinic: Membership on an entity's Board of Directors or advisory committees, Research Funding.
Cross-Cancer Genome-Wide Association Study of Endometrial Cancer and Epithelial Ovarian Cancer Identifies Genetic Risk Regions Associated with Risk of Both Cancers
Glubb, Dylan M. , Thompson, Deborah J. , Aben, Katja K.H. , Alsulimani, Ahmad , Amant, Frédéric , Annibali, Daniela , Barricarte, Aurelio , Beckmann, Matthias W. , Bermisheva, Marina , Bernardini, Marcus Q. , Bischof, Katharina , Bodelón, Clara , Brand, Alison H. , Brinton, Louise A. , Bruinsma, Fiona , Burghaus, Stefanie , Cai, Hui , Carney, Michael E. , Chen, Chu , Chen, Xiao Qing, Chen, Zhihua , Cunningham, Julie M. , Vivo, Immaculata De , Dörk, Thilo , Edwards, Todd, Ekici, Arif B. , Ewing, Ailith , Fasching, Peter A. , Ferguson, Sarah, Flanagan, James M. , Fostira, Florentia, Gao, Bo , Gaudet, Mia M. , Gawełko, Jan , Goodman, Marc T. , Harter, Philipp , Hein, Alexander , Hildebrandt, Michelle A.T., Hillemanns, Peter , Høgdall, Claus , Holliday, Elizabeth , Huntsman, David G. , Huzarski, Tomasz , Jones, Michael E. , Kelley, Joseph L., Killeen, Jeffrey , Klapdor, Rüdiger , Köbel, Martin , Konopka, Bożena , Konstantopoulou, Irene , Kopperud, Reidun Kristin, Koti, Madhuri , Lambrechts, Diether , Lele, Shashikant , Lester, Jenny, Li, Andrew J., Liang, Dong , Liebrich, Clemens, Lipworth, Loren , Lissowska, Jolanta , Lu, Karen H., May, Taymaa, McGuire, Valerie , McNeish, Iain A. , Menon, Usha , Moysich, Kirsten B. , Odunsi, Kunle , Olsson, Håkan , Oršulić, Sandra , Osório, Ana , Park‐Simon, Tjoung‐Won , Pearce, Celeste Leigh, Podgórska, Agnieszka , Ramus, Susan J. , Riggan, Marjorie J. , Rothstein, Joseph H. , Runnebaum, Ingo B. , Scott, Rodney J. , Sellers, Thomas A. , Sieh, Weiva , Śpiewankiewicz, Beata, Sutphen, Rebecca , Teo, Soo‐Hwang , Thompson, Pamela J., Titus, Linda , Tone, Alicia , Edwards, Digna Velez, Vergote, Ignace , Wang, Zhaoming , Wang‐Gohrke, Shan , Group, for the OPAL Study, Group, for the AOCS, Whittemore, Alice S. , Wu, Xifeng , Wu, Anna H. , O’Mara, Tracy A. , Lu, Karen H. , Lambrechts, Diether , Barricarte, Aurelio , Bischof, Katharina , Bodelon, Clara , Brenton, James D , Brinton, Louise A , Buchanan, Daniel D , Cunningham, Julie M , De Vivo, Immaculata , Fazio, Anna de , Doherty, Jennifer A , Dörk, Thilo , Dunning, Alison M , Edwards, Todd , Ewing, Ailith , Fasching, Peter A , Flanagan, James M , Friedenreich, Christine M , Gaudet, Mia M , Gawełko, Jan , Gentry‐Maharaj, Aleksandra , Giles, Graham G , Glasspool, Rosalind , Harris, Holly R , Hein, Alexander , Heitz, Florian , Hillemanns, Peter , Jakubowska, Anna , Jones, Michael E , Karlan, Beth Y , Karnezis, Anthony , Kjaer, Susanne K , Klapdor, Rüdiger , Köbel, Martin , Konstantopoulou, Irene , Kupryjanczyk, Jolanta , Lambrechts, Diether , Lissowska, Jolanta , Lu, Lingeng , McAlpine, Jessica N , McNeish, Iain A , Menon, Usha , Nevanlinna, H , Orsulic, Sandra , Palli, Domenico , Park-Simon, Tjoung-Won , Permuth, Jennifer B , Ramus, Susan J , Runnebaum, Ingo B , Sieh, Weiva , Swerdlow, Anthony J , Szafron, Lukasz M , Teo, Soo H , Thompson, Pamela J , Thomsen, Liv Cecilie Vestrheim , Titus, Linda , Tumino, Rosario , Vanderstichele, Adriaan , Vergote, Ignace , Vierkant, Robert A , Webb, Penelope M , Winham, Stacey J , Spurdle, Amanda B , Lambrechts, Diether , Moysich, Kirsten , Wang, Zhaoming , O'Mara, Tracy A , Ekici, Arif B , Amant, Frederic , Høgdall, Claus K , Huzarski, Tomasz , Brand, Alison H , Goodman, Marc T , Attia, John , Berchuck, Andrew , Bjørge, Line , Brenton, James D. , Buchanan, Daniel D. , Bützow, Ralf C. , Chanock, Stephen Jacob , Chen, Xiao Qing, Cook, Linda S. , DeFazio, Anna , Doherty, Jennifer A. , Bois, Andreas du , Dunning, Alison M. , Dürst, Matthias , Fountzilas, George , Giles, Graham G. , Glasspool, Rosalind , Gronwald, Jacek , Harris, Holly R. , Heitz, Florian , Hildebrandt, Michelle A.T. , Høgdall, Estrid , Jakubowska, Anna , Jensen, Allan , Karlan, Beth Y. , Karnezis, Anthony N. , Хуснутдинова, Э. К. , Kjær, Susanne K. , Kraft, Peter , Kupryjańczyk, Jolanta , Larson, Melissa C. , Marchand, Loı̈c Le , Macciotta, Alessandra , Mattiello, Amalia , McAlpine, Jessica N. , Modugno, Francesmary , Nevanlinna, Heli , Palli, Domenico , Pejovic, Tanja B. , Permuth, Jennifer B. , Rebbeck, Timothy R. , Risch, Harvey A. , Senz, Janine , Setiawan, Veronica Wendy , Siddiqui, Nadeem , Swerdlow, Anthony J. , Szafron, Lukasz M. , Thomsen, Liv Cecilie Vestrheim , ­Tumino, ­Rosario , Turman, Constance , Vanderstichele, Adriaan , Edwards, Digna R. Velez , Vierkant, Robert A. , Webb, Penelope M. , Group, for the OPAL Study, Group, for the AOCS, White, Emily , Winham, Stacey J. , Yannoukakos, Drakoulis , Spurdle, Amanda B.

Cancer Epidemiology, Biomarkers & Prevention | November 3, 2020 | Volume: 30 | Issue: 1 | Pages: 217-228

10.1158/1055-9965.epi-20-0739 | PMID 33144283 Get It

Abstract Background: Accumulating evidence suggests a relationship between endometrial cancer and ovarian cancer. Independent genome-wide association studies (GWAS) for endometrial cancer and ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. We aimed to identify joint endometrial and ovarian cancer risk loci by performing a meta-analysis of GWAS summary statistics from these two cancers. Methods: Using LDScore regression, we explored the genetic correlation between endometrial cancer and ovarian cancer. To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e., inverse-variance meta-analysis, colocalization, and M-values) and performed analyses stratified by subtype. Candidate target genes were then prioritized using functional genomic data. Results: Genetic correlation analysis revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10−5). We found seven loci associated with risk for both cancers (PBonferroni &lt; 2.4 × 10−9). In addition, four novel subgenome-wide regions at 7p22.2, 7q22.1, 9p12, and 11q13.3 were identified (P &lt; 5 × 10−7). Promoter-associated HiChIP chromatin loops from immortalized endometrium and ovarian cell lines and expression quantitative trait loci data highlighted candidate target genes for further investigation. Conclusions: Using cross-cancer GWAS meta-analysis, we have identified several joint endometrial and ovarian cancer risk loci and candidate target genes for future functional analysis. Impact: Our research highlights the shared genetic relationship between endometrial cancer and ovarian cancer. Further studies in larger sample sets are required to confirm our findings.
S1108 Impact of Affordable Care Act on Cirrhosis Hospitalization Outcomes
Rojas, Ricardo L., Kamath, Marielle J., Kamath, Patrick S. , Wang, Xiao‐Jing , Borah, Bijan J. , Moriarty, James P. , Allen, Alina M.

American Journal of Gastroenterology | October 24, 2020 | Volume: 115 | Issue: 1 | Pages: S558-S559

10.14309/01.ajg.0000706480.92101.43 Get It

The role of frailty in geriatric cranial neurosurgery for primary central nervous system neoplasms
Lehrich, Brandon M. , Brown, Nolan J. , Lien, Brian V. , Ransom, Seth C. , Ballatori, Alexander M. , Chen, Xiao T. , Sahyouni, Ronald , Ransom, Ryan C, Shahrestani, Shane , Tafreshi, Ali R., Ransom, Ryan C., Ton, Andy

Neurosurgical Focus | October 1, 2020 | Volume: 49 | Issue: 4 | Pages: E15

10.3171/2020.7.focus20426 | PMID 33002865 Get It

OBJECTIVE Frailty is a clinical state of increased vulnerability due to age-associated decline and has been well established as a perioperative risk factor. Geriatric patients have a higher risk of frailty, higher incidence of brain cancer, and increased postoperative complication rates compared to nongeriatric patients. Yet, literature describing the effects of frailty on short- and long-term complications in geriatric patients is limited. In this study, the authors evaluate the effects of frailty in geriatric patients receiving cranial neurosurgery for a primary CNS neoplasm. METHODS The authors conducted a retrospective cohort study of geriatric patients receiving cranial neurosurgery for a primary CNS neoplasm between 2010 and 2017 by using the Nationwide Readmission Database. Demographics and frailty were queried at primary admission, and readmissions were analyzed at 30-, 90-, and 180-day intervals. Complications of interest included infection, anemia, infarction, kidney injury, CSF leak, urinary tract infection, and mortality. Nearest-neighbor propensity score matching for demographics was implemented to identify nonfrail control patients with similar diagnoses and procedures. The analysis used Welch two-sample t-tests for continuous variables and chi-square test with odds ratios. RESULTS A total of 6713 frail patients and 6629 nonfrail patients were identified at primary admission. At primary admission, frail geriatric patients undergoing cranial neurosurgery had increased odds of developing acute posthemorrhagic anemia (OR 1.56, 95% CI 1.23–1.98; p = 0.00020); acute infection (OR 3.16, 95% CI 1.70–6.36; p = 0.00022); acute kidney injury (OR 1.32, 95% CI 1.07–1.62; p = 0.0088); urinary tract infection prior to discharge (OR 1.97, 95% CI 1.71–2.29; p < 0.0001); acute postoperative cerebral infarction (OR 1.57, 95% CI 1.17–2.11; p = 0.0026); and mortality (OR 1.64, 95% CI 1.22–2.24; p = 0.0012) compared to nonfrail geriatric patients receiving the same procedure. In addition, frail patients had a significantly increased inpatient length of stay (p < 0.0001) and all-payer hospital cost (p < 0.0001) compared to nonfrail patients at the time of primary admission. However, no significant difference was found between frail and nonfrail patients with regard to rates of infection, thromboembolism, CSF leak, dural tear, cerebral infarction, acute kidney injury, and mortality at all readmission time points. CONCLUSIONS Frailty may significantly increase the risks of short-term acute complications in geriatric patients receiving cranial neurosurgery for a primary CNS neoplasm. Long-term analysis revealed no significant difference in complications between frail and nonfrail patients. Further research is warranted to understand the effects and timeline of frailty in geriatric patients.
Higher-order connections between stereotyped subsets: implications for improved patient classification in CLL
Agathangelidis, Andreas , Chatzidimitriou, Anastasia , Gemenetzi, Katerina , Giudicelli, Véronique , Karypidou, Maria, Plevová, Karla , Davis, Zadie , Yan, Xiao‐Jie , Jeromin, Sabine , Schneider, Christof , Pedersen, Lone Bredo , Tschumper, Renee C. , Sutton, Lesley‐Ann, Gastel, Ellen J. van, Armand, Marine , Tausch, Eugen , Baer, Constance , Navarro, Alba , Septenville, Anne Langlois de, Guido, Valentina, Mitterbauer‐Hohendanner, Gerlinde, Brieghel, Christian , Lawless, Sarah, Meggendorfer, Manja , Brázdilová, Kamila, Ritgen, Matthias , Facco, Monica , Tresoldi, Cristina , Visentin, Andrea , Patriarca, Andrea , Catherwood, Mark , Bonello, Lisa, Sudarikov, Andrey , Roumelioti, Maria, Francová, Hana Skuhrová, Moysiadis, Theodoros , Giannopoulos, Krzysztof , Mansouri, Larry, Karan-Djurašević, Teodora , Sandaltzopoulos, Raphael , Fais, Franco , Kater, Arnon P. , Panovska, Irina, Rossi, Davide , Alshemmari, Salem , Costeas, Paul , Espinet, Blanca , Antić, Darko , Foroni, Letizia, Montillo, Marco , Trentin, Livio , Stavroyianni, Niki, Gaïdano, Gianluca , Celle, Paola Francia di, Niemann, Carsten Utoft , Anagnostopoulos, Αchilles , Pott, Christiane , Fischer, Kirsten , Hallek, Michael , Oscier, David , Jelinek, Diane F., Lefranc, Marie‐Paule , Belessi, Chrysoula, Davi, Frédéric , Rosenquist, Richard , Σταματόπουλος, Κώστας , Jelinek, Diane, Gaidano, Gianluca , Rosenquist, Richard , Espinet, Blanca , Baliakas, Panagiotis , Scarfò, Lydia , Biderman, Bella V. , Bagnara, Davide , Guido, Valentina, Dimovski, Aleksandar J , Vanura, Katrina , Veronese, Silvio , Bödör, Csaba , Panagiotidis, Panagiotis T. , Campo, Elı́as , Stilgenbauer, Stephan , Haferlach, Claudia , Chiorazzi, Nicholas , Pospı́šilová, Šárka , Kossida, Sofia , Langerak, Anton W. , Ghia, Paolo

Blood | September 29, 2020 | Volume: 137 | Issue: 10 | Pages: 1365-1376

10.1182/blood.2020007039 | PMID 32992344 Get It

Abstract Chronic lymphocytic leukemia (CLL) is characterized by the existence of subsets of patients with (quasi)identical, stereotyped B-cell receptor (BcR) immunoglobulins. Patients in certain major stereotyped subsets often display remarkably consistent clinicobiological profiles, suggesting that the study of BcR immunoglobulin stereotypy in CLL has important implications for understanding disease pathophysiology and refining clinical decision-making. Nevertheless, several issues remain open, especially pertaining to the actual frequency of BcR immunoglobulin stereotypy and major subsets, as well as the existence of higher-order connections between individual subsets. To address these issues, we investigated clonotypic IGHV-IGHD-IGHJ gene rearrangements in a series of 29 856 patients with CLL, by far the largest series worldwide. We report that the stereotyped fraction of CLL peaks at 41% of the entire cohort and that all 19 previously identified major subsets retained their relative size and ranking, while 10 new ones emerged; overall, major stereotyped subsets had a cumulative frequency of 13.5%. Higher-level relationships were evident between subsets, particularly for major stereotyped subsets with unmutated IGHV genes (U-CLL), for which close relations with other subsets, termed “satellites,” were identified. Satellite subsets accounted for 3% of the entire cohort. These results confirm our previous notion that major subsets can be robustly identified and are consistent in relative size, hence representing distinct disease variants amenable to compartmentalized research with the potential of overcoming the pronounced heterogeneity of CLL. Furthermore, the existence of satellite subsets reveals a novel aspect of repertoire restriction with implications for refined molecular classification of CLL.
Mendelian Randomization Analysis of n-6 Polyunsaturated Fatty Acid Levels and Pancreatic Cancer Risk
Ghoneim, Dalia, Zhu, Jingjing , Murff, Harvey J. , Ye, Fei , Khankari, Nikhil K. , Haycock, Philip , Antwi, Samuel O. , Yang, Yaohua , Arslan, Alan A. , Bracci, Paige M. , Du, Mengmeng , Gallinger, Steven , Goodman, Phyllis J. , Scélo, Ghislaine , Visvanathan, Kala , Andreotti, Gabriella , Babić, Ana , Berndt, Sonja I. , Brennan, Paul , Bueno‐de‐Mesquita, Bas , Buring, Julie E. , Rabe, Kari G. , Duggal, Priya , Fuchs, Charles S. , Gaziano, J. Michael , Hackert, Thilo , Hassan, Manal M. , Helzlsouer, Kathy J. , Holly, Elizabeth A. , Hoover, Robert N. , Katske, Verena, Kurtz, Robert C. , Lee, I‐Min , Murphy, Neil , Oberg, Ann L. , Porta, Miquel , Rothman, Nathaniel , Sesso, Howard D. , Wactawski‐Wende, Jean , Wentzensen, Nicolas , Wolpin, Brian M. , Jacobs, Eric J. , Petersen, Gloria M. , Stolzenberg-Solomon, Rachel Z., Wu, Lang , Haycock, Philip , Arslan, Alan A , Canzian, Federico , Giles, Graham G , Visvanathan, Kala , Bamlet, William R , Brennan, Paul , Chaffee, Kari G. , Hackert, Thilo , Katzke, Verena , Malats, Nuria , Milne, Roger L , Oberg, Ann L , Sesso, Howard D , Wactawski-Wende, Jean , Yu, Herbert , Duell, Eric J , Amundadottir, Laufey , Klein, Alison P , Antwi, Samuel O , Murphy, Neil , Porta, Miquel , Duggal, Priya , Zheng, Wei , Long, Jirong , Setiawan, Veronica Wendy , Wilkens, Lynne R. , Freeman, Laura E. Beane , Canzian, Federico , Giles, Graham G. , Kooperberg, Charles , Marchand, Loı̈c Le , Neale, Rachel Ε. , White, Emily , Albanes, Demetrius , Amiano, Pilar , Bamlet, William R. , Brais, Lauren K , Campbell, Peter T. , Chanock, Stephen Jacob , Goggins, Michael , Malats, Núria , Milne, Roger L. , Rothman, Nathaniel , Silverman, Debra T. , Thompson, Ian M. , Wang, Xiaoliang , Yu, Kai , Zeleniuch‐Jacquotte, Anne , Duell, Eric J. , Risch, Harvey A. , Ámundadóttir, Laufey T. , Kraft, Peter , Klein, Alison P. , Shu, Xiao‐Ou , Yang, Yaohua

Cancer Epidemiology, Biomarkers & Prevention | September 23, 2020 | Volume: 29 | Issue: 12 | Pages: 2735-2739

10.1158/1055-9965.epi-20-0651 | PMID 32967863 Get It

Abstract Background: Whether circulating polyunsaturated fatty acid (PUFA) levels are associated with pancreatic cancer risk is uncertain. Mendelian randomization (MR) represents a study design using genetic instruments to better characterize the relationship between exposure and outcome. Methods: We utilized data from genome-wide association studies within the Pancreatic Cancer Cohort Consortium and Pancreatic Cancer Case–Control Consortium, involving approximately 9,269 cases and 12,530 controls of European descent, to evaluate associations between pancreatic cancer risk and genetically predicted plasma n-6 PUFA levels. Conventional MR analyses were performed using individual-level and summary-level data. Results: Using genetic instruments, we did not find evidence of associations between genetically predicted plasma n-6 PUFA levels and pancreatic cancer risk [estimates per one SD increase in each PUFA-specific weighted genetic score using summary statistics: linoleic acid odds ratio (OR) = 1.00, 95% confidence interval (CI) = 0.98–1.02; arachidonic acid OR = 1.00, 95% CI = 0.99–1.01; and dihomo-gamma-linolenic acid OR = 0.95, 95% CI = 0.87–1.02]. The OR estimates remained virtually unchanged after adjustment for covariates, using individual-level data or summary statistics, or stratification by age and sex. Conclusions: Our results suggest that variations of genetically determined plasma n-6 PUFA levels are not associated with pancreatic cancer risk. Impact: These results suggest that modifying n-6 PUFA levels through food sources or supplementation may not influence risk of pancreatic cancer.