Citations

Dental occlusion requires harmonious development of teeth, jaws, and other elements of the craniofacial complex, which are regulated by environmental and genetic factors. We performed the first genome-wide association study (GWAS) on dental development (DD) using the Demirjian radiographic method. Radiographic assessments from participants of the Generation R Study (primary study population, N 1 = 2,793; mean age of 9.8 y) were correlated with ~30 million genetic variants while adjusting for age, sex, and genomic principal components (proxy for population stratification). Variants associated with DD at genome-wide significant level ( P < 5 × 10 −8 ) mapped to 16q12.2 ( IRX5) (lead variant rs3922616, B = 0.16; P = 2.2 × 10 −8 ). We used Fisher’s combined probability tests weighted by sample size to perform a meta-analysis ( N = 14,805) combining radiographic DD at a mean age of 9.8 y from Generation R with data from a previous GWAS ( N 2 = 12,012) on number of teeth (NT) in infants used as proxy of DD at a mean age of 9.8 y (including the ALSPAC and NFBC1966). This GWAS meta-analysis revealed 3 novel loci mapping to 7p15.3 ( IGF2BP3: P = 3.2 × 10 −8 ), 14q13.3 ( PAX9: P = 1.9 × 10 −8 ), and 16q12.2 ( IRX5: P = 1.2 × 10 −9 ) and validated 8 previously reported NT loci. A polygenic allele score constructed from these 11 loci was associated with radiographic DD in an independent Generation R set of children ( N = 703; B = 0.05, P = 0.004). Furthermore, profiling of the identified genes across an atlas of murine and human stem cells observed expression in the cells involved in the formation of bone and/or dental tissues (>0.3 frequency per kilobase of transcript per million mapped reads), likely reflecting functional specialization. Our findings provide biological insight into the polygenic architecture of the pediatric dental maturation process.

BackgroundSarcopenia increases with age and is associated with poor survival outcomes in patients with cancer. By using a deep learning–based segmentation approach, clinical computed tomography (CT) images of the abdomen of patients with newly diagnosed multiple myeloma (NDMM) were reviewed to determine whether the presence of sarcopenia had any prognostic value.MethodsSarcopenia was detected by accurate segmentation and measurement of the skeletal muscle components present at the level of the L3 vertebrae. These skeletal muscle measurements were further normalized by the height of the patient to obtain the skeletal muscle index for each patient to classify them as sarcopenic or not.ResultsThe study cohort consisted of 322 patients of which 67 (28%) were categorized as having high risk (HR) fluorescence in situ hybridization (FISH) cytogenetics. A total of 171 (53%) patients were sarcopenic based on their peri‐diagnosis standard‐dose CT scan. The median overall survival (OS) and 2‐year mortality rate for sarcopenic patients was 44 months and 40% compared to 90 months and 18% for those not sarcopenic, respectively (p < .0001 for both comparisons). In a multivariable model, the adverse prognostic impact of sarcopenia was independent of International Staging System stage, age, and HR FISH cytogenetics.ConclusionsSarcopenia identified by a machine learning–based convolutional neural network algorithm significantly affects OS in patients with NDMM. Future studies using this machine learning–based methodology of assessing sarcopenia in larger prospective clinical trials are required to validate these findings.

Objectives Chronic pancreatitis (CP) is a chronic fibroinflammatory condition of the pancreas difficult to diagnose in early stages. Novel biomarkers useful to facilitate early diagnosis or treatment responses may be found in biofluids. Although saliva can be easily and noninvasively collected from patients, useful salivary biomarkers from CP patients have not yet been identified. Methods Here, we analyzed the proteome by quantitative proteomics, cytokine/chemokine levels by Luminex analysis, prostaglandin E2 (PGE2) levels by a mass spectrometry-based assay, and bacterial species diversity by 16S ribosomal ribonucleic acid sequencing in saliva samples from confirmed CP patients and healthy controls. Results Our results indicate the presence of various differentially expressed proteins, cytokines/chemokines, and a loss of oral bacterial diversity in the saliva of CP patients. The PGE2 levels trend toward elevation in CP patients. Area under the receiver operating characteristic curve models for proteomic, cytokine, and PGE2 assays ranged from 0.59 to 0.90. Conclusions Collectively, our studies identify a range of putative CP biomarkers and alterations in human saliva requiring further validation. The biomarker discovery approaches we used might lead to identification of biomarkers useful for CP diagnosis and monitoring.

AbstractTherapeutic antibodies have broad indications across diverse disease states, such as oncology, autoimmune diseases, and infectious diseases. New research continues to identify antibodies with therapeutic potential as well as methods to improve upon endogenous antibodies and to design antibodies de novo. On April 27–30, 2022, experts in antibody research across academia and industry met for the Keystone symposium “Antibodies as Drugs” to present the state‐of‐the‐art in antibody therapeutics, repertoires and deep learning, bispecific antibodies, and engineering.

Abstract Background: PDAC is a highly morbid disease with no validated biomarkers for first-line (1L) treatment selection. The PurIST single-sample molecular subtyping gene signature, initially described by Rashid et al. (Clin. Cancer Res., 2020), classifies PDAC tumors as basal or classical. Prior work showed that these subtypes are associated with prognosis and that basal subtype patients have significantly lower objective response rate to FOLFIRINOX (FFX) compared to classical subtype patients. This suggests potential implications for treatment with FFX versus gemcitabine and nab-paclitaxel (GnP). Here, we retrospectively demonstrate the clinical validity of PurIST implemented as a laboratory developed test (LDT) on the Tempus Labs sequencing platform using a real-world dataset of advanced PDAC patients. Methods: De-identified PDAC patients were selected from the Tempus Oncology Data Ecosystem under an IRB-approved protocol according to the following inclusion criteria: no systemic treatment, surgically unresectable/metastatic, available RNA-sequencing data from primary or metastatic tissue, and FFX or GnP as 1L systemic therapy with available outcomes. Sequencing was performed by the CAP/CLIA validated Tempus xT assay. The PurIST model was applied to normalized RNA-sequence abundance files to compute a basal or classical subtype label. Predefined statistical analysis parameters included 12-month survival rate and median overall survival (OS) in FFX treated patients. OS was compared using Kaplan-Meier estimates, hazard ratios, and log-rank statistical tests. Results: 258 PDAC patients (64.9 +/- 9.9 yrs, 42% female), were identified for analysis with median OS of 11.7 months (95% CI: 10.6-13.7) and 12-month censorship rate of 12.8%. 151 patients were treated with FFX and 107 with GnP. 42 patients (28%) receiving FFX and 31 patients (29%) receiving GnP were classified as basal. Among FFX treated patients, median OS was 14.4 months (95% CI: 12.5-16.9) in classical patients vs. 9.4 months (95% CI: 8.3-14.5) in basal patients (HR = 1.72, 95% CI = 1.2-2.6, p=0.006). The 12-month survival rate was significantly lower in basal patients receiving FFX vs. classical patients (33.3% vs. 59.4%, p=0.011). In basal patients, no difference in OS was observed between FFX and GnP groups (p=0.6). Classical patients receiving FFX had a 14.4 months median OS vs. 10.8 months for patients receiving GnP (p=0.046). Conclusions: In this real-world cohort, we validate the association between PurIST subtypes and PDAC patient survival when administered FFX or GnP. Among FFX-treated patients, classical patients had significantly better outcomes compared to basal patients. Moreover, classical patients appeared to have improved outcomes with FFX vs. GnP. These findings represent underlying biological PDAC differences and demonstrate the clinical validity of PurIST as a prognostic marker in PDAC patients when performed as an LDT on the Tempus xT platform. Ongoing evaluation of PurIST performance will be continuously monitored through the Tempus Oncology Data ecosystem. Citation Format: Stephane Wenric, James M. Davison, Yun E. Wang, Gregory M. Mayhew, Kirk Beebe, Hyunseok P. Kang, Michael V. Milburn, Vincent Chung, Tanios Bekaii-Saab, Charles M. Perou. Purity Independent Subtyping of Tumor (PurIST): Real-world data validation of a pancreatic ductal adenocarcinoma (PDAC) gene expression classifier and its prognostic implications [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr A002.

Background Patients with acute stroke presenting with large vessel occlusion secondary to intracranial atherosclerosis (ICAS‐LVO) may require rescue therapy (RT) in addition to mechanical thrombectomy to achieve and maintain successful recanalization. We performed a systematic review and meta‐analysis of comparative studies that reported outcomes of RT in patients with ICAS‐LVO to evaluate its safety and efficacy. Methods Databases searched include PubMed, CINAHL Complete, and Scopus from database date of inception through August 17, 2021. We included comparative studies that reported the outcomes of ICAS‐LVO RT compared with outcomes of patients with ICAS‐LVO who did not undergo RT or to those patients presenting with embolic large vessel occlusion (non–ICAS‐LVO). Meta‐analysis using the random‐effects model was used to combine estimates reporting odds ratios (ORs) and 95% CIs. Results A total of 9 nonrandomized studies were included: 5 studies in ICAS‐LVO RT versus ICAS‐LVO non‐RT analysis and 5 in ICAS‐LVO RT versus non‐ICAS LVO analysis. Rescue treatments included intra‐arterial antiplatelets, angioplasty, stenting, or a combination of treatments. Compared with non‐RT ICAS‐LVO, RT was associated with an increased favorable 90‐day outcome (OR, 3.19 [95% CI, 1.91–5.32]; I 2 = 14%) and decreased 90‐day mortality (OR, 0.35 [95% CI, 0.16–0.76]; I 2 = 21%). In the analysis of ICAS‐LVO RT versus embolic LV, the incidence of favorable 90‐day outcome and 90‐day mortality did not differ between ICAS‐LVO RT and non–ICAS‐LVO (OR, 0.97 [95% CI, 0.58–1.64; I 2 = 50%]; and OR, 1.22 [95% CI, 0.90–1.66; I 2 = 0%], respectively). Conclusions Rescue treatment is likely associated with better outcomes in patients with ICAS‐LVO. The outcomes of patients with ICAS‐LVO who receive RT may be comparable with patients with embolic large vessel occlusion (non–ICAS‐LVO).

Abstract Overall Survival estimates from diagnosis are valuable for guiding treatment, but do not consider the years already survived. Conditional survival (CS) provides dynamic survival predictions over time. This study was conducted to estimate CS at 1–8 years from diagnosis and the impact of baseline prognostic factors on CS in multiple myeloma (MM) patients. This is a retrospective study including 2556 MM patients diagnosed between 2004–2019. CS (t|s) was defined as the probability of surviving t years given survival of s years. Median age was 64 years. Median follow-up was 6.2 years and median overall survival from diagnosis was 7.5 years. The 5-year CS estimates at s = 0, 1, 2, 3, and 5 years were 0.64, 0.61, 0.61, 0.61, and 0.58, respectively. On multivariate analysis, age ≥ 65 and proteasome inhibitor + immunomodulatory-based induction were associated with decreased survival and increased survival, respectively, retained at 5 years. The adverse impact of 1q gain/amplification, high-risk IgH translocation, and ISS-3 was significant at 1 and 3 years but not 5 years. Chromosome 17 abnormality was associated with decreased survival only at 1 year. Among MM patients, 5-year CS was stable at 1–5 years from diagnosis. The prognostic impact of high-risk cytogenetic factors decreased with additional years survived.

PURPOSE To describe a newly established international registry recruiting diverse patients with advanced prostate cancer across academic and community practices to address unmet needs in this population. PATIENTS AND METHODS Initiated in 2017, IRONMAN (International Registry for Men with Advanced Prostate Cancer) is a prospective cohort of patients with advanced prostate cancer. The study will enroll 5,000 patients with metastatic hormone-sensitive prostate cancer (mHSPC) or castration-resistant prostate cancer (CRPC), recruited from Australia, the Bahamas, Barbados, Brazil, Canada, Ireland, Jamaica, Kenya, Nigeria, Norway, South Africa, Spain, Sweden, Switzerland, the United Kingdom, and the United States. The study is collecting datatypes to study variation in care and treatment of advanced prostate cancer across countries and across academic, community-based, and government practices with a focus on clinical outcomes, patient-reported outcomes, epidemiologic data, biologic subtypes, and clinician questionnaires. RESULTS Through July 2022, 2,682 eligible patients were enrolled in 11 of 12 active countries. Sixty-six percent of patients have mHSPC, and 34% have CRPC. On the basis of self-report, 11% of patients are Black and 9% are Hispanic. Five Veterans Affairs Medical Centers are enrolling patients. Globally, 23% of patients report being veterans of military service. CONCLUSION To our knowledge, this is the first international cohort of people newly diagnosed with advanced prostate cancer designed to describe variations in patient management, experiences, and outcomes. IRONMAN aims to identify optimal treatment sequences to improve survival, understand patient-reported outcomes, and explore novel biomarkers to understand treatment resistance mechanisms. Insights from IRONMAN will inform and guide future clinical management of people with mHSPC and CRPC. This cohort study will provide real-world evidence to facilitate a better understanding of the survivorship of people with advanced prostate cancer.

ImportanceCytokine storm due to COVID-19 can cause high morbidity and mortality and may be more common in patients with cancer treated with immunotherapy (IO) due to immune system activation.ObjectiveTo determine the association of baseline immunosuppression and/or IO-based therapies with COVID-19 severity and cytokine storm in patients with cancer.Design, Setting, and ParticipantsThis registry-based retrospective cohort study included 12 046 patients reported to the COVID-19 and Cancer Consortium (CCC19) registry from March 2020 to May 2022. The CCC19 registry is a centralized international multi-institutional registry of patients with COVID-19 with a current or past diagnosis of cancer. Records analyzed included patients with active or previous cancer who had a laboratory-confirmed infection with SARS-CoV-2 by polymerase chain reaction and/or serologic findings.ExposuresImmunosuppression due to therapy; systemic anticancer therapy (IO or non-IO).Main Outcomes and MeasuresThe primary outcome was a 5-level ordinal scale of COVID-19 severity: no complications; hospitalized without requiring oxygen; hospitalized and required oxygen; intensive care unit admission and/or mechanical ventilation; death. The secondary outcome was the occurrence of cytokine storm.ResultsThe median age of the entire cohort was 65 years (interquartile range [IQR], 54-74) years and 6359 patients were female (52.8%) and 6598 (54.8%) were non-Hispanic White. A total of 599 (5.0%) patients received IO, whereas 4327 (35.9%) received non-IO systemic anticancer therapies, and 7120 (59.1%) did not receive any antineoplastic regimen within 3 months prior to COVID-19 diagnosis. Although no difference in COVID-19 severity and cytokine storm was found in the IO group compared with the untreated group in the total cohort (adjusted odds ratio [aOR], 0.80; 95% CI, 0.56-1.13, and aOR, 0.89; 95% CI, 0.41-1.93, respectively), patients with baseline immunosuppression treated with IO (vs untreated) had worse COVID-19 severity and cytokine storm (aOR, 3.33; 95% CI, 1.38-8.01, and aOR, 4.41; 95% CI, 1.71-11.38, respectively). Patients with immunosuppression receiving non-IO therapies (vs untreated) also had worse COVID-19 severity (aOR, 1.79; 95% CI, 1.36-2.35) and cytokine storm (aOR, 2.32; 95% CI, 1.42-3.79).Conclusions and RelevanceThis cohort study found that in patients with cancer and COVID-19, administration of systemic anticancer therapies, especially IO, in the context of baseline immunosuppression was associated with severe clinical outcomes and the development of cytokine storm.Trial RegistrationClinicalTrials.gov Identifier: NCT04354701