scholarly journals Genetic variation within the human papillomavirus type 16 genome is associated with oropharyngeal cancer prognosis

Author(s):  
Krystle A Lang Kuhs ◽  
Daniel Faden ◽  
Li Chen ◽  
Derek K Smith ◽  
Maisa Pinheiro ◽  
...  

Purpose: A significant barrier to adoption of de-escalated treatment protocols for human papillomavirus-driven oropharyngeal cancer (HPV-OPC) is that few predictors of poor prognosis exist. We conducted the first large whole-genome sequencing (WGS) study to characterize the genetic variation of the HPV16 genome and to evaluate its association with HPV-OPC patient survival. Patients and Methods: 460 OPCs from 2 large US medical centers (1980-2017) underwent HPV16 WGS. Site-specific variable positions (SNPs) across the HPV16 genome were identified. Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for overall survival by HPV16 SNPs. Harrell C-index and time-dependent positive predictive value (PPV) curves and areas under the PPV curves were used to evaluate the predictive accuracy of HPV16 SNPs for overall survival. Results: 384 OPCs (83.48%) passed quality control filters with sufficient depth and coverage of HPV16 genome sequencing to be analyzed. 284 HPV16 SNPs with a minor allele frequency >1% were identified. Eight HPV16 SNPs were significantly associated with worse survival after false discovery rate (FDR) correction (individual prevalence:1.0%-5.5%; combined prevalence: 15.10%); E1 gene position 1053 (HR for overall survival [HRos]:3.75,95%CI:1.77-7.95;Pfdr=0.0099); L2 gene positions 4410 (HRos:5.32,95%CI:1.91-14.81;Pfdr=0.0120), 4539 (HRos:6.54,95%CI:2.03-21.08;Pfdr=0.0117); 5050 (HRos:6.53,95%CI:2.34-18.24;Pfdr=0.0030) and 5254 (HRos:7.76,95%CI:2.41-24.98;Pfdr=0.0030); and L1 gene positions 5962 (HRos:4.40,95%CI:1.88-10.31;Pfdr=0.0110) and 6025 (HRos:5.71,95%CI:2.43-13.41;Pfdr=0.0008) and position 7173 within the upstream regulatory region (HRos:9.90,95%CI:3.05-32.12;Pfdr=0.0007). Median survival time for patients with ≥1 high-risk HPV16 SNPs was 3.96 years compared to 18.67 years for patients without a high-risk SNP; log-rank test P<0.001. HPV16 SNPs significantly improved the predictive accuracy for overall survival above traditional factors (age, smoking, stage, treatment): increase in C-index was 0.069 (95% CI: 0.019-0.119, P <0.001); increase in area under the PPV curve for predicting 5-year survival was 0.068 (95%CI: 0.015-0.111, P =0.008). Conclusions: HPV16 genetic variation is associated with HPV-OPC prognosis and can improve prognostic accuracy.

Author(s):  
Martin Garset‐Zamani ◽  
Amanda F. Carlander ◽  
Kathrine K. Jakobsen ◽  
Jeppe Friborg ◽  
Katalin Kiss ◽  
...  

2006 ◽  
Vol 24 (36) ◽  
pp. 5630-5636 ◽  
Author(s):  
Lisa Licitra ◽  
Federica Perrone ◽  
Paolo Bossi ◽  
Simona Suardi ◽  
Luigi Mariani ◽  
...  

Purpose Human papillomavirus (HPV) DNA tumors actively integrating the E6 and E7 oncogenes have a distinct biologic behavior resulting in a more favorable prognosis. To which extent the viral integration by itself, and/or the associated wild-type (wt) TP53 status, and/or a functional p16 contribute to prognosis is unclear. Patients and Methods To clarify how the presence of high-risk (HR) -HPV, TP53, and p16INK4a status interact with clinical outcome, we considered a retrospective series of 90 consecutive oropharyngeal cancer patients treated primarily with surgery. Results Seventeen (19%) patients showed integrated HPV 16 DNA (HPV positive), wt TP53 in all but two patients, normal p16INK4a in 15 assessable patients, and p16 expression in all 17 patients. Thirty-five patients (39%), two of whom were HPV positive, harbored TP53 mutations. p16INK4a deletion and p16 null immunophenotype occurred in 28 and 58 patients, respectively, and was similarly distributed in both patients with mutated TP53 (48% and 82%, respectively) and in patients with wt TP53 (46% and 77%, respectively). Statistical analysis showed that HPV-positive status significantly affects all investigated end points: overall survival (P = .0018), incidence of tumor relapse (P = .0371), and second tumor (P = .0152), whereas TP53 and p16INK4a status and p16 expression were not prognostic by themselves. Conclusion Our molecular and clinical results are in agreement with previous findings but provide additional information into the biologic mechanisms involved in HR-HPV oropharyngeal cancer in comparison to HPV-negative tumors. According to the reduced risk of relapse and second tumors associated with HR-HPV positivity of oropharyngeal cancer, the therapeutic strategy and follow-up procedures should be reviewed.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4893-4893
Author(s):  
Sita D. Bhella ◽  
Eshetu G Atenafu ◽  
Andre C Schuh ◽  
Mark D. Minden ◽  
Aaron D. Schimmer ◽  
...  

Abstract Background: Therapy for patients (pts) with high risk AML remains unsatisfactory. Retrospective studies have demonstrated activity of fludarabine, cytarabine, GCSF and idarubicin (FLAG-IDA) and of mitoxantrone, etoposide and cytarabine (NOVE-HiDAC) as salvage therapy in pts with relapsed or refractory AML. A recent randomized trial indicated high complete remission (CR) rates with improved relapsed-free survival when FLAG-IDA is administered as frontline induction therapy (Burnett et al. J Clin Oncol 2013). Since 01/2011, we have used FLAG-IDA as a first line therapeutic option in pts with high risk AML (poor risk cytogenetics, antecedent myeloproliferative neoplasm or myelodysplastic syndrome, and/or therapy-related AML) in an attempt to improve CR rates and permit more patients with AML to advance to allogeneic hematopoietic cell transplantation (alloHCT). Prior to 2011, either 3&7 or NOVE-HiDAC was used as first line therapy in patients with AML. Methods: We conducted a retrospective review of consecutive patients with high risk AML treated with front-line (a) FLAG-IDA between 01/2011 to 03/2015, (b) NOVE-HiDAC from 01/2006 to 12/2014, or (c) 3&7 from January 01/2011 to 12/2014 at the Princess Margaret Cancer Centre, to determine the CR rates and overall survival (OS) associated with the different regimens. Results: Patients characteristics are in Table 1. Fifty-two, 32, and 30 pts received FLAG-IDA, NOVE-HiDAC or 3&7 as first induction, respectively. Patients receiving FLAG-IDA had more high-risk features (i.e. complex cytogenetics, more azacytidine failures) compared to those receiving 3&7. Overall CR rate (i.e. CR + [CRi] + [CRp]) with FLAG-IDA, NOVE-HiDAC, and 3&7 respectively was 86% (n=42/49), 84% (n=21/25) and 50% (n=13/26), respectively. Median CR duration, censored at time of transplant, for pts receiving FLAG-IDA, NOVE-HiDAC and 3&7 was 3 mos (0.5-15), 3.5 mos (1-9) and 5.5 mos (0.5-42), respectively. OS at 1 year with FLAG-IDA, NOVE-HiDAC and 3&7 was 61% (95% CI, 41% -75%), 55% (95% CI, 34%-72%) and 21.6% (95% CI, 7.4%-40.7%), respectively (log-rank test p-value=0.0076). On subgroup analysis, there was no statistical difference in OS for pts ≥70 years. Of those with a donor identified, 35% (n=13/37), 73% (n=11/15) and 29% (n=5/17) of pts who were treated with FLAG-IDA, NOVE-HiDAC and 3&7 underwent an alloSCT, respectively. Pts with sAML may have had a higher transplant rate due to donor searches initiated earlier. Probable and possible invasive aspergillosis infections in pts receiving FLAG-IDA, NOVE-HiDAC and 3&7 were 50%, 34% and 33% respectively. Institution of earlier bronchoscopies led to increased fungal detection in the FLAG-IDA group. Median length of stay and ICU transfers were similar between groups. Induction deaths were secondary to sepsis, respiratory failure, invasive aspergillosis, and hemorrhage; these were similar across groups. Two pts receiving NOVE-HiDAC, with prior MPN, died of progressive splenomegaly and liver failure. Conclusions: Toxicities associated with frontline FLAG-IDA and NOVE-HIDAC induction are acceptable. FLAG-IDA and NOVE-HiDAC induction can result in durable CR, permitting patients with high risk AML to proceed to alloSCT and providing more favourable survival rates than frontline 3&7. Randomized studies are needed to confirm these findings for pts with poor-risk sAML and tAML. Table 1. Patient Characteristics FLAG-IDA(2013-2015) NOVE-HiDAC(2006-2014) 3&7(2011-2014) N=52 N=32 N=30 Median Age,y (range) Age <70 Age ≥ 70 Sex (M:F) 59.5 (21-76) 47 (90%) 5 (10%) 25:27 54.5 (24-74) 31 (97%) 1 (3%) 18:14 61.5 (20-78) 21 (70%) 9 (30%) 23:7 Cytogenetics by MRC Classification Good Intermediate Poor Not available 0 (0%) 25 (48%) 23 (44%) 4 (8%) 0 (0%) 18 (56%) 9 (28%) 5 (16%) 0 (0%) 20 (67%) 6 (20%) 4 (13%) Molecular (Pts ≤70 y with normal karyotype) FLT3-NPM1+ FLT3+ NPM1+ FLT3+ NPM1- FLT3-NPM1- 1/11 (9%) 5/11 (45%) 2/11 (18%) 3/11 (27%) 0/7 (0%) 2/7 (29%) 1/7 (14%) 4/7 (57%) 0/7 (0%) 1/7 (14%) 0/7 (0%) 6/7 (86%) WBC (x 109/L) (range) 5.15 (0.6 -239) 13 (1.3-182.4) 3.2 (0.7-164) sAML IBMFS MPN MDS Prior AZA 27 (52%) 0/27 (0%) 10/27 (37%) 17/27 (63%) 9/17 (53%) 29 (91%) 1/29 (4%) 15/29 (51%) 13/29 (45%) 2/13 (15%) 20 (67%) 2/20 (10%) 0/20 (0%) 18/20 (90%) 5/18 (28%) Therapy-Related (%) 14 (27%) 6 (19%) 15 (50%) De Novo AML with Complex Cytogenetics FLT3+ Other (ie MLL) 15 (29%) 7/15 (47%) 5/15 (33%) 3/15 (20%) 0 (0%) 0 (0%) Donor Identified (%) 37(71%) 16(50%) 17(57%) Disclosures Gupta: Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Research Funding.


2012 ◽  
Vol 30 (5_suppl) ◽  
pp. 177-177
Author(s):  
Takamitsu Inoue ◽  
Norihiko Tsuchiya ◽  
Shigeyuki Matsui ◽  
Tomomi Kamba ◽  
Koji Mitsuzuka ◽  
...  

177 Background: Individual genetic variations may have a significant influence on the survival of metastatic prostate cancer (PCa) patients. We aimed to identify target genes and their variations involved in the survival of PCa patients using a single nucleotide polymorphism (SNP) panel. Methods: A total of 185 PCa patients with bone metastasis at initial diagnosis were analyzed. Each patient was genotyped using a Cancer SNP panel that contained 1421 SNPs in 408 cancer-related genes. SNPs associated with the survival were screened by log rank test. A prognostic scoring index using selected SNPs was developed by incorporating the difference in their effect sizes to classify high-risk and low-risk groups and its predictive accuracy was assessed. Results: Fourteen SNPs in six genes, XRCC4, PSM1, GATA3, IL13, CASP8, and IGF1, were identified to have statistically significant association with the cancer-specific survival. The cancer-specific survivals of patients grouped according to the number of risk genotypes of 6 SNPs selected from the 14 SNPs differed significantly (0-1 vs 2-3 vs 4-6 risk genotypes, P = 7.20×10−8). The predictive model using the 14 SNPs showed a statistically significant cross-validated accuracy in predicting the groups at high and low risk groups for poor survival (P = 0.0050). The high-risk group was independently associated with the survival in a multivariate analysis that included conventional clinicopathological variables (P = 0.0060). Conclusions: Using a panel of the SNPs, the prediction of the survival and optimization of the individualized treatment for patients with advanced PCa may be possible.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 2002-2002 ◽  
Author(s):  
Erica Hlavin Bell ◽  
Minhee Won ◽  
Jessica L. Fleming ◽  
Aline P. Becker ◽  
Joseph P. McElroy ◽  
...  

2002 Background: This study sought to update the predictive significance of the three WHO-defined molecular glioma subgroups ( IDHwt, IDHmt/noncodel, and IDHmt/codel) in the subset of specimens available for analysis in NRG Oncology/RTOG 9802, a phase III trial of high-risk low-grade gliomas (LGGs) treated with radiation (RT) with and without PCV after biopsy/surgical resection. Notably, this is the first phase III study to evaluate the predictive value of the WHO subgroups in LGGs using prospectively-collected, well-annotated long-term overall survival data, in a post-hoc analysis. Methods: IDH1/2 mutation status was determined by immunohistochemistry and/or next-generation sequencing. 1p/19q status was determined by Oncoscan and/or 450K methylation data. Treatment effects on overall survival (OS) and progression-free survival (PFS) by marker status were determined by the Cox proportional hazard model and tested using the log-rank test in a secondary and exploratory analysis. Results: Of all the randomized eligible high-risk G2 patients (N = 251) in NRG Oncology/RTOG 9802, 106(42%) patients had tissue available with sufficient quality DNA for profiling. Of these, 80(75%) were IDHmut; 43(41%) were IDHmut/non-co-deleted, 37(35%) were IDHmut/co-deleted, and 26(24%) were IDHwt. Upon univariate analyses, no significant difference in either PFS or OS was observed with the addition of PCV in the IDHwt subgroup. Both the IDHmut/non-co-deleted and IDHmut/co-deleted subgroups were significantly correlated with longer PFS (HR = 0.32; p = 0.003; HR = 0.13; p < 0.001) and OS (HR = 0.38; p = 0.013; HR = 0.21; p = 0.029) in the RT plus PCV arm, respectively. Conclusions: Our analyses suggest that both IDHmut/non-co-deleted and IDHmut/co-deleted subgroups received benefit from treatment with PCV although sample size is limited and analyses are post-hoc. Our results also support the notion that IDHwt high-risk LGG patients do not benefit from the addition of PCV to RT. Funding: U10CA180868, U10CA180822, and U24CA196067. Also, R01CA108633, R01CA169368, RC2CA148190, U10CA180850-01, BTFC, OSU-CCC (all to AC). Clinical trial information: NCT00003375.


Author(s):  
Cirbia Teixeira ◽  
Julio Teixeira ◽  
Eliane Oliveira ◽  
Helymar Machado ◽  
Luiz Zeferino

Purpose the aim of this study was to evaluate the pattern of human papillomavirus (HPV) detection in an 11.3-year post-vaccination period in a cohort of adolescent and young women vaccinated or not against HPV 16/18. Methods a subset of 91 women from a single center participating in a randomized clinical trial (2001–2010, NCT00689741/00120848/00518336) with HPV 16/18 AS04-adjuvanted vaccine was evaluated. All women received three doses of the HPV vaccine (n = 48) or a placebo (n = 43), and cervical samples were collected at 6-month intervals. Only in this center, one additional evaluation was performed in 2012. Up to 1,492 cervical samples were tested for HPV-DNA and genotyped with polymerase chain reaction (PCR). The vaccine group characteristics were compared by Chi-square or Fisher exact or Mann-Whitney test. The high-risk (HR)-HPV 6-month-persistent infection rate was calculated. The cumulative infection by HPV group was evaluated by the Kaplan-Meier method and the log-rank test. Results the cumulative infection with any type of HPV in an 11.3-year period was 67% in the HPV vaccine group and 72% in the placebo group (p = 0.408). The longitudinal analysis showed an increase of 4% per year at risk for detection of HR-HPV (non-HPV 16/18) over time (p = 0.015), unrelated to vaccination. The cumulative infection with HPV 16/18 was 4% for the HPV vaccine group and 29% for the placebo group (p = 0.003). There were 43 episodes of HR-HPV 6-month persistent infection, unrelated to vaccination. Conclusions this study showed the maintenance of viral detection rate accumulating HR-HPV (non-HPV-16–18) positive tests during a long period post-vaccination, regardless of prior vaccination. This signalizes that the high number of HPV-positive tests may be maintained after vaccination.


2016 ◽  
Vol 26 (9) ◽  
pp. 1642-1649 ◽  
Author(s):  
Christine H. Feng ◽  
Charlie M. Miller ◽  
Meaghan E. Tenney ◽  
Nita K. Lee ◽  
S. Diane Yamada ◽  
...  

ObjectivePreclinical data and recent epidemiological studies suggest that statins have antiproliferative and antimetastatic effects in various cancer cells, and reduce cancer mortality and recurrence. We study the effect of statin use on survival outcomes and recurrence rates in patients with endometrial cancer with high-risk histology.Materials and MethodsAll patients receiving definitive therapy for high-risk endometrial cancer from 1995 to 2014 were retrospectively reviewed. Health characteristics at baseline were collected, and statin use was determined from medical records. Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan-Meier method and compared using the log-rank test. Cox proportional hazards regression models were used for univariate and multivariate analysis to determine independent factors associated with OS and PFS.ResultsA total of 199 patients were included in the study, of which 76 were hyperlipidemic and 50 used statins. The median follow-up time was 31 months from time of diagnosis. Hyperlipidemic patients who used statins had improved OS compared with hyperlipidemic patients not using statins (hazard ratio, 0.42; 95% confidence interval, 0.20–0.87;P= 0.02). Statin use was also associated with improved PFS (hazard ratio, 0.47; 95% confidence interval, 0.23–0.95;P= 0.04) on multivariate analysis. Hyperlipidemic patients who used statins had borderline improved freedom from local failure compared with hyperlipidemic cases not using statins (P= 0.08, log-rank test). Statin use was not found to be associated with improved cancer-specific mortality.ConclusionsStatin use is independently associated with significant improvements in PFS for the overall group and PFS and OS in the hyperlipidemic group.


2017 ◽  
Vol 40 (6) ◽  
pp. 320-327 ◽  
Author(s):  
Nora Wuerdemann ◽  
Claus Wittekindt ◽  
Shachi Jenny Sharma ◽  
Elena-Sophie Prigge ◽  
Miriam Reuschenbach ◽  
...  

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 50-51
Author(s):  
Lucia Masarova ◽  
Prithviraj Bose ◽  
Naveen Pemmaraju ◽  
Lingsha Zhou ◽  
Sherry A. Pierce ◽  
...  

Introduction: The myeloproliferative neoplasm myelofibrosis (MF) is associated with reduced overall survival (OS) compared to the general population. In 2011, the JAK1/2 inhibitor ruxolitinib, was approved in the USA for the treatment of intermediate and high-risk MF. Long-term follow-up of patients in pivotal phase 3 studies showed survival benefit of ruxolitinib therapy. Objective: We sought to evaluate the outcome of patients with MF diagnosed before and after the year of 2010 to assess whether OS changed in the past decade in the era of ruxolitinib. Methods: We retrospectively reviewed the charts of 1346 patients with MF who presented to our institution in the last 25 years and compared clinical parameters and outcomes between those presented before and after the year of 2010 (before / after y. 2010). Newly diagnosed MF patients and patients within 12 months from diagnosis who were previously only treated with supportive therapy (danazol, growth-factors, steroids) were included. Cytogenetics (≥10 metaphases) was classified according to Gangat, JCO, 2011. Molecular analysis (≥ 28 genes) was performed only after y. 2010 by using next generation sequencing platform. Fisher exact test and χ2 were used for analysis of categorical variables. Overall survival (OS) was estimated using the Kaplan-Meier method and comparison was done by the log-rank test. Results: Among the 1346 patients, 806 (60%) patients were seen after y. 2010. Median age of all patients was 65 years (range, 20-94), 62% were males. Patient characteristics with comparison between groups are shown in Table 1. Patients after y. 2010 were older, with lower WBC and lower lactate dehydrogenase, but had more symptoms. The distribution of IPSS scores between groups were comparable at around 10% for low, 36% for intermediate-1, 20-25% for intermediate-2 and ~30% for high risk. Eighty-five and 80% of patients before and after y. 2010, respectively, received therapy for MF at our institution. Overall, 78 patients (37 after y. 2010) underwent stem cell transplantation. Among treated patients at our institution, 25% (n 117) and 37% (n 241) before and after y. 2010 received ruxolitinib during their follow-up. Ruxolitinib therapy was initiated with a median time of 2 months (range, 0.2-156) from presentation to our institution, longer in those before y. 2010 (11 vs 1 months in patients after y. 2010, respectively, p = 0.001) After a median follow-up of 30.4 months (range, 0.9-266); 659 (49%) of patients died. More deaths were noticed in those before y. 2010 (74% vs 32 %, respectively, p &lt; 0.001); but these patients had also longer follow-up (37.5 months vs 25 months, p &lt; 0.001). Eighty-five patients (10%) developed acute leukemia: 2 cases per 100 person-years per observation for both groups. Patients after y. 2010 had superior OS to those before y. 2010 with HR 0.7 (95% CI: 0.59-0.82), p &lt; 0.001, Figure 1. Superior OS was observed in all patients after y. 2010 (vs before y. 2010) when stratified by IPSS score (higher equals for combination of int -2 and high, Figure 2), or age (cutoff of 65 years, Figure 3). Patients exposed to ruxolitinib had superior OS regardless of being diagnosed before or after y. 2010, with respective medians of 98 (95% CI: 78-118) and 91 (95% CI: 73-109) months (details to be presented at the conference). Conclusion: Our results demonstrate that survival of patients with MF has improved in the last decade. Survival has improved in younger and older patients as well as in those with more advanced disease (per IPSS risks). Many factors may have contributed to the observed improvement in outcome of MF patients, including new therapies, e.g. ruxolitinib, as well as improved supportive management and disease awareness. Disclosures Bose: Blueprint Medicines Corporation: Honoraria, Research Funding; Astellas Pharmaceuticals: Research Funding; Kartos Therapeutics: Honoraria, Research Funding; Celgene Corporation: Honoraria, Research Funding; Incyte Corporation: Consultancy, Honoraria, Research Funding, Speakers Bureau; NS Pharma: Research Funding; Constellation Pharmaceuticals: Research Funding; Pfizer, Inc.: Research Funding; CTI BioPharma: Honoraria, Research Funding; Promedior, Inc.: Research Funding. Pemmaraju:Daiichi Sankyo: Research Funding; DAVA Oncology: Honoraria; Blueprint Medicines: Honoraria; Roche Diagnostics: Honoraria; AbbVie: Honoraria, Research Funding; Celgene: Honoraria; Incyte Corporation: Honoraria; MustangBio: Honoraria; Plexxikon: Research Funding; Samus Therapeutics: Research Funding; SagerStrong Foundation: Other: Grant Support; Novartis: Honoraria, Research Funding; Pacylex Pharmaceuticals: Consultancy; Affymetrix: Other: Grant Support, Research Funding; LFB Biotechnologies: Honoraria; Stemline Therapeutics: Honoraria, Research Funding; Cellectis: Research Funding. Kantarjian:Novartis: Research Funding; Ariad: Research Funding; Jazz Pharma: Research Funding; Actinium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Cyclacel: Research Funding; Pfizer: Honoraria, Research Funding; Daiichi-Sankyo: Research Funding; Amgen: Honoraria, Research Funding; Immunogen: Research Funding; Astex: Research Funding; Takeda: Honoraria; Agios: Honoraria, Research Funding; AbbVie: Honoraria, Research Funding; BMS: Research Funding. Verstovsek:CTI Biopharma Corp: Research Funding; Protagonist Therapeutics: Research Funding; PharmaEssentia: Research Funding; ItalPharma: Research Funding; Gilead: Research Funding; Promedior: Research Funding; Novartis: Consultancy, Research Funding; Sierra Oncology: Consultancy, Research Funding; Incyte Corporation: Consultancy, Research Funding; Roche: Research Funding; NS Pharma: Research Funding; Celgene: Consultancy, Research Funding; Blueprint Medicines Corp: Research Funding; Genentech: Research Funding; AstraZeneca: Research Funding.


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