Concern over the need for effective and accessible healthcare for individuals with advanced chronic illness has drawn attention to the significant gaps in our knowledge of palliative medicine. To advance our understanding of this field, community-based participatory research (CBPR) is proposed as a tool for future research initiatives. This paper offers a rationale for how CBPR may be employed to address specific gaps in palliative care research. Several examples where this approach has been used previously are described, and potential obstacles to implementing this research method are delineated. Despite challenges to incorporating CBPR to palliative care research, this approach holds substantial potential to advance our current understanding of the field and promote sensitivity for future programs, practices and policies.
Ovarian cancer survival varies geographically throughout California. The objective of this study is to determine the impact of living in disadvantaged communities on spatial patterns of survival disparities. Including a bivariate spatial smooth of geographic location within the Cox proportional hazard models is an effective approach for spatial analyses of cancer survival. Women diagnosed with advanced Stage IIIC/IV epithelial ovarian cancer (1996–2006) were identified from the California Cancer Registry. The impact of living in disadvantaged communities, as measured by the California Office of Environmental Health Hazard Assessment cumulative CalEnviroScreen 2.0 score, on geographic disparities in survival was assessed while controlling for age, tumor characteristics, quality of care, and race. Community-level air quality indicators and socioeconomic status (SES) were also independently examined in secondary analyses. The Cox proportional hazard spatial methods are available in the MapGAM package implemented in R. An increase in the community disadvantage from the 5th (less disadvantage) to the 95th percentile (more disadvantage) was significantly associated with poorer ovarian cancer survival (hazard ratio [HR], 1.16; 95% confidence interval [CI], 1.07–1.26). Ozone levels and SES were the most influential indicators on geographic disparities that warrant further investigation. The use of a bivariate smoother of location within the survival model allows for more advanced spatial analyses for exploring potential air quality-related predictors of geographic disparities.
Background: The addition of first-line ribociclib (RIB; cyclin-dependent kinase 4/6 inhibitor) to letrozole (LET) significantly improved progression-free survival (PFS) compared with placebo (PBO) + LET in patients (pts) with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2–) advanced breast cancer (ABC) in the Phase III MONALEESA-2 study. Identifying biomarkers that predict response to treatment remains a key challenge in pts with HR+ ABC. Here we analyze results from MONALEESA-2 by molecular alterations detected in circulating tumor DNA (ctDNA) at baseline, including PIK3CA mutations and other alterations considered to be important in HR+ ABC. Methods: Postmenopausal women (N=668) with HR+, HER2– ABC who had not received any prior therapy for ABC were randomized 1:1 to RIB (600 mg/day; 3-weeks-on/1-week-off) + LET (2.5 mg/day; continuous) or PBO + LET. The primary endpoint was PFS. Biomarker analysis of the ctDNA mutation profile was an exploratory endpoint. Plasma samples for ctDNA analysis were collected at baseline and end of treatment. ctDNA was analyzed using next-generation sequencing with a targeted panel of ˜550 genes. Results: Baseline ctDNA was successfully sequenced in 494 pts (RIB + LET: n=212; PBO + LET: n=215); 67 (14%) of 494 pts were removed from the analysis due to limited tumor DNA in circulation. 427 (86%) pts had ≥1 alteration, including 1,573 mutations, 513 short insertions/deletions, 166 amplifications, and 8 translocations. Alterations (frequency) were commonly observed in the following genes: PIK3CA (33%), TP53 (12%), ZNF703/FGFR1 (5%), and ESR1 (4%), and in genes involved in receptor tyrosine kinase (RTK) signaling (12%). RIB + LET treatment benefit was consistent in pts with wild-type (WT) and altered PIK3CA, and in pts with WT and altered TP53 (Table). RIB + LET improved PFS regardless of RTK or ZNF703/FGFR1 alterations. However, there was a weak trend for increased benefit in pts with WT vs altered RTK genes and in pts with WT vs altered ZNF703/FGFR1 genes. These results should be interpreted with caution due to the small number of pts with these alterations. There were too few ESR1 alterations for firm conclusions to be drawn. Events, n/NMedian PFS, months Gene(s)RIB + LETPBO + LETRIB + LETPBO + LETHazard ratio (95% confidence interval)PIK3CAWT54/14393/14229.614.70.44 (0.31–0.62)Altered40/6955/7319.212.70.53 (0.35–0.81)TP53WT72/180129/19427.614.70.44 (0.33–0.59)Altered22/3219/2110.25.50.43 (0.23–0.83)ZNF703/FGFR1WT88/202139/20524.814.60.47 (0.36–0.62)Altered6/109/1010.611.40.73 (0.23–2.29)RTKWT81/189128/18724.814.40.46 (0.35–0.61)Altered13/2320/2821.311.40.72 (0.34–1.53) Conclusions: Consistent RIB + LET treatment benefit was observed compared with PBO + LET, irrespective of the status of baseline ctDNA biomarkers. Citation Format: Hortobagyi GN, Stemmer S, Campone M, Sonke GS, Arteaga CL, Paluch-Shimon S, Petrakova K, Villanueva C, Nusch A, Grischke E-M, Chan A, Jakobsen E, Marschner N, Hart LL, Alba E, Ohnstand HO, Blau S, Yardley DA, Solovieff N, Su F, Germa C, Yap Y-S. First-line ribociclib + letrozole in hormone receptor-positive, HER2-negative advanced breast cancer: Efficacy by baseline circulating tumor DNA alterations in MONALEESA-2 [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr PD4-06.
Residing in lower socioeconomic status neighborhoods is associated with increased risk of morbidity and mortality. Few studies have examined this association for cardiovascular disease (CVD) outcomes in a treated population in New York City (NYC). The purpose of this study was to determine the relationship between neighborhood level poverty and one-year clinical outcomes (rehospitalization and/or death) among hospitalized patients with CVD. Data on rehospitalization and/or death at one-year were collected from consecutive patients admitted at a university medical center in NYC from November 2009 to September 2010. NYC residents totaled 2,198. U.S. Census 2000 zip code data was used to quantify neighborhood SES into quintiles of poverty (Q1=lowest poverty to Q5=highest poverty). Univariate analyses were used to determine associations between neighborhood poverty and baseline characteristics and comorbidities. A logistic regression analysis was used to calculate odds ratios for the association between quintiles of poverty and rehospitalization/death at one year. Fifty-five percent of participants experienced adverse outcomes. Participants in Q5 (9%) were more likely to be female (odds ratio [OR]=0.49,95% confidence interval [CI] 0.33–0.73), younger (OR=0.50,95% CI 0.34–0.74), of minority race/ethnicity (OR=18.24,95% CI 11.12=29.23), and have no health insurance (OR=4.79,95% CI 2.92–7.50). Living in Q5 was significantly associated with increased comorbidities, including diabetes mellitus and hypertension, but was not a significant predictor of rehospitalization/death at one year. Among patients hospitalized with CVD, higher poverty neighborhood residence was significantly associated with a greater prevalence of comorbidities, but not of rehospitalization and/or death. Affordable, accessible resources targeted at reducing the risk of developing CVD and these comorbidities should be available in these communities.
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