Citations

Abstract Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous entity with complex pathophysiology and manifestations. Phenomapping is the process of applying statistical learning techniques to patient data to identify distinct subgroups based on patterns in the data. Phenomapping has emerged as a technique with potential to improve the understanding of different HFpEF phenotypes. Phenomapping efforts have been increasing in HFpEF over the past several years using a variety of data sources, clinical variables, and statistical techniques. This review summarizes methodologies and key takeaways from these studies, including consistent discriminating factors and conserved HFpEF phenotypes. We argue that phenomapping results to date have had limited implications for clinical care and clinical trials, given that the phenotypes, as currently described, are not reliably identified in each study population and may have significant overlap. We review the inherent limitations of aggregating and utilizing phenomapping results. Lastly, we discuss potential future directions, including using phenomapping to optimize the likelihood of clinical trial success or to drive discovery in mechanisms of the disease process of HFpEF.

Abstract The brain is notoriously difficult to access because of its location and protective mechanisms, both internal and external. Imaging-based approaches, such as multiparametric magnetic resonance imaging (mpMRI), provide a method to bypass these obstacles. mpMRI can capture a wide range of data from tumors embedded in brain tissue through various imaging features. However, the biological function captured by each imaging feature remains largely unknown, particularly within the aggressive disease glioblastoma multiforme (GBM). We integrated our GBM SYstems Genetics Network AnaLysis (gbmSYGNAL) gene regulatory network (Plaisier, et al. 2016), based on the multi-omic patient data from The Cancer Genome Atlas (TCGA), with mpMRI-localized patient tumor biopsies. The gbmSYGNAL network was reconstructed within the new image-localized biopsies, and associations revealed a strong connection between the spoiled gradient recalled echo + contrast (SPGR+C) feature and the immune hallmarks of cancer. The SPGR+C method generates an image by employing a contrast agent that bypasses the blood brain barrier (BBB) through leaky blood vessels that have weakened from the force of the rapidly growing GBM tumor. Furthermore, a significant association between SPGR+C signal and the presence of both infiltrating macrophages and T cells indicated that peripheral immune cells may also cross the BBB at these leaky sites. Separately, the mean diffusivity (MD) & T2 features were linked to the sustained angiogenesis hallmark. These features displayed high association with angiogenic genes, such as FLT1, KDR, and PDGFRB, and correlated with the presence of histologically identified vessels. Detection of these disease-relevant functions via mpMRI features has powerful clinical applications, providing a non-invasive approach to GBM diagnosis, prognosis, and treatment direction.

PURPOSE We sought to evaluate the independent and interactive associations of planned treatment duration, celecoxib use, physical activity, body mass index (BMI), diabetes mellitus, and vitamin B6 with oxaliplatin-induced peripheral neuropathy (OIPN) among patients with stage III colon cancer enrolled in a clinical trial. METHODS We conducted a prospective, observational study of 2,450 patients with stage III colon cancer enrolled in the CALGB/SWOG 80702 trial, randomly assigned to 6 versus 12 cycles of adjuvant fluorouracil, leucovorin, and oxaliplatin chemotherapy with or without 3 years of celecoxib. OIPN was reported using the Common Terminology Criteria for Adverse Events (CTCAE) during and following completion of chemotherapy and the FACT/GOG-NTX-13 15-17 months after random assignment. Multivariate analyses were adjusted for baseline sociodemographic and clinical factors. RESULTS Patients assigned to 12 treatment cycles, relative to 6, were significantly more likely to experience higher-grade CTCAE- and FACT/GOG-NTX-13-reported neuropathy and longer times to resolution, while neither celecoxib nor vitamin B6 intake attenuated OIPN. Exercising ≥ 9 MET-hours per week after treatment relative to < 9 was associated with improvements in FACT/GOG-NTX-13-reported OIPN (adjusted difference in means, 1.47; 95% CI, 0.49 to 2.45; P = .003). Compared with patients with baseline BMIs < 25, those with BMIs ≥ 25 were at significantly greater risk of developing higher-grade CTCAE-reported OIPN during (adjusted odds ratio, 1.18; 95% CI, 1.00 to 1.40; P = .05) and following completion (adjusted odds ratio, 1.23; 95% CI, 1.01 to 1.50; P = .04) of oxaliplatin treatment. Patients with diabetes were significantly more likely to experience worse FACT/GOG-NTX-13-reported neuropathy relative to those without (adjusted difference in means, –2.0; 95% CI, –3.3 to –0.73; P = .002). There were no significant interactions between oxaliplatin treatment duration and any of these potentially modifiable exposures. CONCLUSION Lower physical activity, higher BMI, diabetes, and longer planned treatment duration, but not celecoxib use or vitamin B6 intake, may be associated with significantly increased OIPN severity.

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

Introduction: Nearly half of the adult population in the United States has been diagnosed with hypertension. Adrenal hormonal hypersecretion is a leading cause of secondary hypertension. Adrenal vein sampling (AVS) may assist in differentiating between unilateral and bilateral adrenal hormonal hypersecretion to identify patients who are candidates for adrenalectomy. We reviewed the use of AVS at our institution along with associated outcomes after adrenalectomy. Materials and Methods: A retrospective chart review was conducted of patients with a diagnosis of primary hyperaldosteronism (PA) or adrenocorticotropic hormone-independent Cushing syndrome (AICS) and who underwent adrenalectomy between January 1, 2010, and December 1, 2021. Patient data of baseline characteristics, preoperative workup, including AVS, and postoperative outcomes were collected and analyzed. Results: Seventy-one patients were identified in the study period (48 PA and 23 AICS). Computed tomography scan identified unilateral adrenal nodules in 52 patients (29 left; and 23 right), bilateral nodules in 13 patients, and no nodules in 6 patients. AVS was performed in 45 patients with PA (93%) and 5 patients with AICS (21%). After surgery, the number of PA patients with hypokalemia or requiring potassium supplementation significantly decreased after adrenalectomy (before surgery: 33 [68.7%]; and after surgery: 5 [10.4%], P < .01). The number of medications required for hypertension in AICS patients also significantly decreased. No major adverse events were noted. Conclusions : Our long-term experience demonstrates the ongoing use of AVS during workup of patients with primary hyperaldosteronism and for select patients with adrenocorticotropic hormone-independent Cushing syndrome. However, a low level of discordance between imaging and AVS findings in PA patients suggests that there may be a subset of patients in whom preoperative AVS is not necessary.