Citations

Despite advances in cardiovascular care and improved outcomes, fragmented healthcare systems, nonequitable access to health care, and nonuniform and unbiased collection and access to healthcare data have exacerbated disparities in healthcare provision and further delayed the technological-enabled implementation of precision medicine. Precision medicine relies on a foundation of accurate and valid omics and phenomics that can be harnessed at scale from electronic health records. Big data approaches in noncardiovascular healthcare domains have helped improve efficiency and expedite the development of novel therapeutics; therefore, applying such an approach to cardiovascular precision medicine is an opportunity to further advance the field. Several endeavors, including the American Heart Association Precision Medicine platform and public-private partnerships (such as BigData@Heart in Europe), as well as cloud-based platforms, such as Terra used for the National Institutes of Health All of Us, are attempting to temporally and ontologically harmonize data. This state-of-the-art review summarizes best practices used in cardiovascular genomic and precision medicine and provides recommendations for systems’ requirements that could enhance and accelerate the integration of these platforms.

ABSTRACT Lung cancer is the leading cause of cancer-related deaths worldwide and, despite treatment advances, immune suppression remains an obstacle to effective therapy. Effector CD4 + T cells (CD4 + Teffs) are critical for antitumor immunity, but their function is often inhibited by regulatory T cells (Tregs), which accumulate in lung tumors and perform suppressive functions through multiple mechanisms. This suppression leads to tumor progression and poor patient outcomes. However, the mechanisms underlying Treg-mediated suppression are not fully understood. Here, we identify the extracellular ATP receptor P2RX7 as a key regulator of Treg function in lung tumors. Using a murine lung cancer model induced by Lewis lung carcinoma cells, we demonstrate that P2RX7 enhances the suppressive capacity of tumor-infiltrating Tregs, promoting tumor growth. In T cell-specific P2RX7-KO mice, reduced Treg infiltration was accompanied by increased CD4 + Teff accumulation and improved tumor control. Treg-specific P2RX7-KO mice exhibit reduced tumor growth, confirming a cell-intrinsic role of P2RX7 in Tregs. Suppression assays revealed that tumor-infiltrating WT Tregs have greater suppressive activity compared to P2RX7-KO Tregs, which failed to inhibit type 1 and Tfh-like responses. This was associated with increased tumor-specific IgG production by lung B cells in P2RX7-KO mice. We also observed that WT Tregs express higher levels of the immunosuppressive surface molecule CTLA-4 when compared to P2RX7-KO Tregs. In summary, we show that P2RX7 expression on Tregs is essential for their suppressive function in lung cancer, and targeting of P2RX7 may constitute a novel strategy to improve lung cancer treatment by alleviating Treg-mediated immune suppression.

Précis: In our study of the factors predictive of latanoprost response, we found that normotensive subjects with higher intraocular pressure, lower uveoscleral outflow, and higher body mass index had a greater response to 1-week treatment. Purpose: To evaluate relationships between variable intraocular pressure (IOP) responses to latanoprost and participant characteristics, baseline values and changes in aqueous humor dynamics (AHD) parameters. Methods: We assessed 226 eyes from 113 healthy participants. AHD parameters measured at baseline and after 1-week treatment with latanoprost included: IOP by pneumatonometry, episcleral venous pressure (EVP) by venomanometry, aqueous humor flow rate by fluorophotometry, outflow facility by 2-minute pneumatonography, and uveoscleral outflow calculated using the modified Goldmann equation. IOP responses were categorized into 4 groups: nonresponders (<10% reduction), all-responders (≥10% reduction), medium-responders (10%–20% reduction), and high-responders (≥20% reduction). Generalized estimating equation models were used to analyze treatment effects and compare groups. Results: Baseline IOP was higher in high-responders than medium-responders and nonresponders ( P =0.007 and P <0.001, respectively). Body mass index (BMI) was significantly higher in high-responders and all-responders compared with nonresponders ( P =0.02 and P =0.03, respectively). Responders had lower baseline uveoscleral outflow ( P =0.03). There were no significant differences in other baseline characteristics including EVP, outflow facility, and aqueous flow rate between the 4 groups. IOP decreased while outflow facility and uveoscleral outflow increased after latanoprost treatment in all responder groups but did not change in nonresponders. EVP and aqueous flow rate did not change significantly in any group. The change in uveoscleral outflow was greater in high-responders than in nonresponders ( P =0.004). Conclusions: In healthy subjects, higher baseline IOP, lower uveoscleral outflow and higher BMI are predictors of a greater IOP reduction by latanoprost. A greater increase in uveoscleral outflow is responsible for this larger response.

The NCCN Guidelines for Multiple Myeloma (MM) provide recommendations for diagnosis, initial workup, treatment, follow-up, and supportive care for patients with MM. These NCCN Guidelines Insights highlight the important updates and changes specific to systemic therapy for patients with newly diagnosed as well as previously treated MM included in Version 1.2025 of the NCCN Guidelines for MM.