Shared decision making (SDM) is a model of patient-provider communication. Little is known about the role of SDM in health disparities among Asian American and Pacific Islander (AAPI) sexual and gender minorities (SGM). We illustrate how issues at the intersection of AAPI and SGM identities affect SDM processes and health outcomes. We discuss experiences of AAPI SGM that are affected by AAPI heterogeneity, SGM stigma, multiple minority group identities, and sources of discrimination. Recommendations for clinical practice, research, policy, community development, and education are offered.

Objective and methods

In this phase 1b study, patients with stage 4 or unresectable stage 3 melanoma were treated with escalating doses of lenvatinib (once daily) and temozolomide (TMZ) (days 1-5) in 28-day cycles, to determine the maximum tolerated dose (MTD) of the combination. Dose Level (DL)1: lenvatinib 20 mg, TMZ 100 mg/m2; DL2: lenvatinib 24 mg, TMZ 100 mg/m2; DL3: lenvatinib 24 mg, TMZ 150 mg/m2. Adverse events (AEs) were recorded and tumor response assessed per RECIST 1.0.

Results

Dose-limiting toxicity occurred in 1 of 32 treated patients (DL1); MTD was not reached. The highest dose administered was lenvatinib 24 mg + TMZ 150 mg/m2. Most common treatment-related AEs included fatigue (56.3%), hypertension (53.1%), and proteinuria (46.9%). Overall objective response rate was 18.8% (6 patients), all partial response; (DL1, n = 1; DL3, n = 5). Stable disease (SD) ≥ 16 weeks was observed in 28.1% of patients (DL1 and DL2, n = 1 each; DL3, n = 7); 12.5% of patients had SD ≥ 23 weeks. Single and repeat-dose pharmacokinetics of lenvatinib were comparable across cycles and with concomitant TMZ administration.

Conclusions

Lenvatinib 24 mg/day + TMZ 150 mg/m2/day (days 1-5) demonstrated modest clinical activity, an acceptable safety profile, and was administered without worsening of either lenvatinib- or TMZ-related toxicities in this patient group.

Background

Asian American Pacific Islander (AAPI) sexual and gender minorities (SGM) face unique challenges in mental health and accessing high-quality health care.

Objective

The objective of this study was to identify barriers and facilitators for shared decision making (SDM) between AAPI SGM and providers, especially surrounding mental health.

Research design

Interviews, focus groups, and surveys.

Subjects

AAPI SGM interviewees in Chicago (n=20) and San Francisco (n=20). Two focus groups (n=10) in San Francisco.

Measures

Participants were asked open-ended questions about their health care experiences and how their identities impacted these encounters. Follow-up probes explored SDM and mental health. Participants were also surveyed about attitudes towards SGM disclosure and preferences about providers. Transcripts were analyzed for themes and a conceptual model was developed.

Results

Our conceptual model elucidates the patient, provider, and encounter-centered factors that feed into SDM for AAPI SGM. Some participants shared the stigma of SGM identities and mental health in their AAPI families. Their AAPI and SGM identities were intertwined in affecting mental health. Some providers inappropriately controlled the visibility of the patient's identities, ignoring or overemphasizing them. Participants varied on whether they preferred a provider of the same race, and how prominently their AAPI and/or SGM identities affected SDM.

Conclusions

Providers should understand identity-specific challenges for AAPI SGM to engage in SDM. Providers should self-educate about AAPI and SGM history and intracommunity heterogeneity before the encounter, create a safe environment conducive to patient disclosure of SGM identity, and ask questions about patient priorities for the visit, pronouns, and mental health.

The diversity of cell types is a challenge for quantifying aging and its reversal. Here we develop 'aging clocks' based on single-cell transcriptomics to characterize cell-type-specific aging and rejuvenation. We generated single-cell transcriptomes from the subventricular zone neurogenic region of 28 mice, tiling ages from young to old. We trained single-cell-based regression models to predict chronological age and biological age (neural stem cell proliferation capacity). These aging clocks are generalizable to independent cohorts of mice, other regions of the brains, and other species. To determine if these aging clocks could quantify transcriptomic rejuvenation, we generated single-cell transcriptomic datasets of neurogenic regions for two interventions-heterochronic parabiosis and exercise. Aging clocks revealed that heterochronic parabiosis and exercise reverse transcriptomic aging in neurogenic regions, but in different ways. This study represents the first development of high-resolution aging clocks from single-cell transcriptomic data and demonstrates their application to quantify transcriptomic rejuvenation.