Citations

Abstract BackgroundCopy number variants (CNVs) are pervasive in the human genome but potential disease associations with rare CNVs have not been comprehensively assessed in large datasets. We analysed rare CNVs in genes and non-coding regions for 86,788 breast cancer cases and 76,122 controls of European ancestry with genome-wide array data.ResultsGene burden tests detected the strongest association for deletions in BRCA1 (P= 3.7E-18). Nine other genes were associated with a p-value < 0.01 including known susceptibility genes CHEK2 (P= 0.0008), ATM (P= 0.002) and BRCA2 (P= 0.008). Outside the known genes we detected associations with p-values < 0.001 for either overall or subtype-specific breast cancer at nine deletion regions and four duplication regions. Three of the deletion regions were in established common susceptibility loci.ConclusionsThis is the first genome-wide analysis of rare CNVs in a large breast cancer case-control dataset. We detected associations with exonic deletions in established breast cancer susceptibility genes. We also detected suggestive associations with non-coding CNVs in known and novel loci with large effects sizes. Larger sample sizes will be required to reach robust levels of statistical significance.

PURPOSE The ATEMPT trial was designed to determine if treatment with trastuzumab emtansine (T-DM1) caused less toxicity than paclitaxel plus trastuzumab (TH) and yielded clinically acceptable invasive disease-free survival (iDFS) among patients with stage I human epidermal growth factor receptor 2–positive (HER2+) breast cancer (BC). METHODS Patients with stage I centrally confirmed HER2+ BC were randomly assigned 3:1 to T-DM1 or TH and received T-DM1 3.6 mg/kg IV every 3 weeks for 17 cycles or T 80 mg/m 2 IV with H once every week × 12 weeks (4 mg/kg load →2 mg/kg), followed by H × 39 weeks (6 mg/kg once every 3 weeks). The co-primary objectives were to compare the incidence of clinically relevant toxicities (CRTs) in patients treated with T-DM1 versus TH and to evaluate iDFS in patients receiving T-DM1. RESULTS The analysis population includes all 497 patients who initiated protocol therapy (383 T-DM1 and 114 TH). CRTs were experienced by 46% of patients on T-DM1 and 47% of patients on TH ( P = .83). The 3-year iDFS for T-DM1 was 97.8% (95% CI, 96.3 to 99.3), which rejected the null hypothesis ( P < .0001). Serially collected patient-reported outcomes indicated that patients treated with T-DM1 had less neuropathy and alopecia and better work productivity compared with patients on TH. CONCLUSION Among patients with stage I HER2+ BC, one year of adjuvant T-DM1 was associated with excellent 3-year iDFS, but was not associated with fewer CRT compared with TH.

Abstract Background: Use of menopausal hormone therapy (MHT) is associated with increased risk for breast cancer. However, the relevant mechanisms and its interaction with genetic variants are not fully understood. Methods: We conducted a genome-wide interaction analysis between MHT use and genetic variants for breast cancer risk in 27,585 cases and 34,785 controls from 26 observational studies. All women were post-menopausal and of European ancestry. Multivariable logistic regression models were used to test for multiplicative interactions between genetic variants and current MHT use. We considered interaction p-values<5x10-8 as genome-wide significant, and p-values<1x10-5 as suggestive. Linkage disequilibrium (LD)-based clumping was performed to identify independent candidate variants.Results: None of the 9.7 million genetic variants tested for interactions with MHT use reached genome-wide significance. Only 213 variants, representing 18 independent loci, had p-values<1x105. The strongest evidence was found for rs4674019 (p-value=2.27x10-7), which showed genome-wide significant interaction (p-value=3.8x10-8) with current MHT use when analysis was restricted to population-based studies only. Limiting the analyses to combined estrogen-progesterone MHT use only or to estrogen receptor (ER) positive cases did not identify any genome-wide significant evidence of interactions. Conclusions: In this large genome-wide SNP-MHT interaction study of breast cancer, we found no strong support for common genetic variants modifying the effect of MHT on breast cancer risk. These results suggest that common genetic variation has limited impact on the observed MHT–breast cancer risk association.

Effective delivery of cancer care via telehealth requires a planned care system that accounts for myriad patient, provider, and practice/cancer center resources before, during, and after the care episode. Telehealth is broadly defined as a method to have virtual, bidirectional communication between patients and providers. Telehealth can include methods such as audio-only, video-consultation, and tele-monitoring, which can occur in a synchronous, asynchronous, or blended format. The purpose of this review is to present common foundational principles for providing clinical cancer care via telehealth, followed by an overview of three distinct examples of comprehensive telehealth programs that have been developed to meet the needs of patients and families across the cancer trajectory, including survivorship, rehabilitation, and palliative care phases. The programs described are exemplars that were developed and implemented prior to the coronavirus pandemic, so they reflect many years of planning and evidence. Lessons learned include the need for ongoing patient support, clinician training, and cancer health system/practice programmatic considerations such as billing, scheduling, reimbursement, software, and hardware/platform security. Although the COVID-19 pandemic produced an explosive shift in regulations and implementation, sustainability of these changes may not be long-term. Nevertheless, a permanent shift in cancer care to include telehealth is likely here to stay.

In this study we aim to examine gene–environment interactions (GxEs) between genes involved with estrogen metabolism and environmental factors related to estrogen exposure. GxE analyses were conducted with 1970 Korean breast cancer cases and 2052 controls in the case-control study, the Seoul Breast Cancer Study (SEBCS). A total of 11,555 SNPs from the 137 candidate genes were included in the GxE analyses with eight established environmental factors. A replication test was conducted by using an independent population from the Breast Cancer Association Consortium (BCAC), with 62,485 Europeans and 9047 Asians. The GxE tests were performed by using two-step methods in GxEScan software. Two interactions were found in the SEBCS. The first interaction was shown between rs13035764 of NCOA1 and age at menarche in the GE|2df model (p-2df = 1.2 × 10−3). The age at menarche before 14 years old was associated with the high risk of breast cancer, and the risk was higher when subjects had homozygous minor allele G. The second GxE was shown between rs851998 near ESR1 and height in the GE|2df model (p-2df = 1.1 × 10−4). Height taller than 160 cm was associated with a high risk of breast cancer, and the risk increased when the minor allele was added. The findings were not replicated in the BCAC. These results would suggest specificity in Koreans for breast cancer risk.

Following the neutral results of the dal-OUTCOMES trial, a genome-wide study identified the rs1967309 variant in the adenylate cyclase type 9 ( ADCY9 ) gene on chromosome 16 as being associated with the risk of future cardiovascular events only in subjects taking dalcetrapib, a CETP (cholesterol ester transfer protein) modulator. Homozygotes for the minor A allele (AA) were protected from recurrent cardiovascular events when treated with dalcetrapib, while homozygotes for the major G allele (GG) had increased risk. Here, we present the current state of knowledge regarding the impact of rs1967309 in ADCY9 on clinical observations and biomarkers in dalcetrapib trials and the effects of mouse ADCY9 gene inactivation on cardiovascular physiology. Finally, we present our current model of the interaction between dalcetrapib and ADCY9 gene variants in the arterial wall macrophage, based on the intracellular role of CETP in the transfer of complex lipids from endoplasmic reticulum membranes to lipid droplets. Briefly, the concept is that dalcetrapib would inhibit CETP-mediated transfer of cholesteryl esters, resulting in a progressive inhibition of cholesteryl ester synthesis and free cholesterol accumulation in the endoplasmic reticulum. Reduced ADCY9 activity, by paradoxically leading to higher cyclic AMP levels and in turn increased cellular cholesterol efflux, could impart cardiovascular protection in rs1967309 AA patients. The ongoing dal-GenE trial recruited 6145 patients with the protective AA genotype and will provide a definitive answer to whether dalcetrapib will be protective in this population.

Background. Survival after living donor liver transplantation (LDLT) in the United States is excellent. However, the significance of pretransplant kidney disease on outcomes in this population is poorly understood. Methods. This was a retrospective cohort study of 2806 LDLT recipients nationally between January 2010 and June 2020. Recipients with estimated glomerular filtration rate <40 mL/min/1.73 m2 (eGFR-low) or requiring dialysis were compared. Multivariable survival analyses evaluated (1) eGFR-low as a predictor of post-LDLT survival and (2) the survival of LDLT versus deceased donor liver transplant (DDLT) alone with eGFR-low. Results. From 2010 to 2020, 140 (5.0%) patients had eGFR-low and 18 (0.6%) required dialysis pre-LDLT. The number of LDLTs requiring dialysis between 2017 and 2020 outnumbered the prior 7 y. Overall LDLT experience was greater at centers performing LDLT in recipients with renal dysfunction (P < 0.001). LDLT recipients with eGFR-low had longstanding renal dysfunction: mean eGFR 3–6 mo before LDLT 42.7 (±15.1) mL/min/1.73 m2. Nearly half (5/12) of eGFR-low recipients with active kidney transplant (KT) listing at LDLT experienced renal recovery. Five patients underwent early KT after LDLT via the new “safety net” policy. Unadjusted survival after LDLT was worse with eGFR-low (hazard ratio 2.12 versus eGFR ≥40 mL/min/1.73 m2; 95% confidence interval, 1.47-3.05; P < 0.001), but no longer so when accounting for mean eGFR 3–6 mo pre-LDLT (hazard ratio, 1.27; 95% confidence interval, 0.82-1.95; P = 0.3). The adjusted survival of patients with eGFR-low receiving LDLT versus deceased donor liver transplant alone was not different (P = 0.08). Conclusions. Overall, outcomes after LDLT with advanced renal dysfunction are acceptable. These findings are relevant given the recent “safety net” KT policy.

Tobacco use is projected to kill 1 billion people in the 21st century. Tobacco Use Disorder (TUD) is one of the most common substance use disorders in the world. Evidence-based treatment of TUD is effective, but treatment accessibility remains very low. A dearth of specially trained clinicians is a significant barrier to treatment accessibility, even within systems of care that implement brief intervention models. The treatment of TUD is becoming more complex and tailoring treatment to address new and traditional tobacco products is needed. The Council for Tobacco Treatment Training Programs (Council) is the accrediting body for Tobacco Treatment Specialist (TTS) training programs. Between 2016 and 2019, n = 7761 trainees completed Council-accredited TTS training programs. Trainees were primarily from North America (92.6%) and the Eastern Mediterranean (6.1%) and were trained via in-person group workshops in medical and academic settings. From 2016 to 2019, the number of Council-accredited training programs increased from 14 to 22 and annual number of trainees increased by 28.5%. Trainees have diverse professional backgrounds and work in diverse settings but were primarily White (69.1%) and female (78.7%) located in North America. Nearly two-thirds intended to implement tobacco treatment services in their setting; two-thirds had been providing tobacco treatment for 1 year or less; and 20% were sent to training by their employers. These findings suggest that the training programs are contributing to the development of a new workforce of TTSs as well as the development of new programmatic tobacco treatment services in diverse settings. Developing strategies to support attendance from demographically and geographically diverse professionals might increase the proportion of trainees from marginalized groups and regions of the world with significant tobacco-related inequities.

Abstract Background: It is not known whether modifiable lifestyle factors that predict survival after invasive breast cancer differ by subtype. Methods: We analyzed data for 121,435 women diagnosed with breast cancer from 67 studies in the Breast Cancer Association Consortium with 16,890 deaths (8,554 breast cancer specific) over 10 years. Cox regression was used to estimate associations between risk factors and 10-year all-cause mortality and breast cancer–specific mortality overall, by estrogen receptor (ER) status, and by intrinsic-like subtype. Results: There was no evidence of heterogeneous associations between risk factors and mortality by subtype (Padj &gt; 0.30). The strongest associations were between all-cause mortality and BMI ≥30 versus 18.5–25 kg/m2 [HR (95% confidence interval (CI), 1.19 (1.06–1.34)]; current versus never smoking [1.37 (1.27–1.47)], high versus low physical activity [0.43 (0.21–0.86)], age ≥30 years versus &lt;20 years at first pregnancy [0.79 (0.72–0.86)]; &gt;0–&lt;5 years versus ≥10 years since last full-term birth [1.31 (1.11–1.55)]; ever versus never use of oral contraceptives [0.91 (0.87–0.96)]; ever versus never use of menopausal hormone therapy, including current estrogen–progestin therapy [0.61 (0.54–0.69)]. Similar associations with breast cancer mortality were weaker; for example, 1.11 (1.02–1.21) for current versus never smoking. Conclusions: We confirm associations between modifiable lifestyle factors and 10-year all-cause mortality. There was no strong evidence that associations differed by ER status or intrinsic-like subtype. Impact: Given the large dataset and lack of evidence that associations between modifiable risk factors and 10-year mortality differed by subtype, these associations could be cautiously used in prognostication models to inform patient-centered care.