Treatment selection and real-world analysis of immunotherapy with or without chemotherapy in PD-L1-high metastatic non-small cell lung cancer.

BACKGROUND: Lung cancer is the leading cause of cancer death in Australia. Immunotherapy has improved outcomes in patients with metastatic non-small cell lung cancer (NSCLC). Pembrolizumab is approved in first-line treatment as single-agent immunotherapy (SAI) or combination chemoimmunotherapy (CIT). In metastatic NSCLC programmed death-ligand 1 (PD-L1) ≥50% either regimen may be used. AIMS: We aim to identify patient and tumour characteristics that influence treatment selection. METHODS: This is a retrospective observational study. Pharmacy records identified patients with metastatic/recurrent NSCLC receiving pembrolizumab at two metropolitan centres in Victoria, Australia, since 2018. Demographics, tumour characteristics, Charlson Comorbidity Index (CCI) and treatment data were collected. Descriptive and multivariate analyses were performed. RESULTS: Sixty-one patients had metastatic NSCLC PD-L1 ≥50% and received pembrolizumab with median age of 65.6 years, Eastern Cooperative Oncology Group 0-1 in 82%. CIT was administered to 23% (14) with no difference in rate of delivery between centres (P = 0.808). CCI mean score differed (3.38 SAI vs 2.36 CIT, P = 0.042). Patients with high CCI score (≥2) were less likely to receive CIT (OR = 0.15, P = 0.003, 95% confidence interval (CI) 0.04-0.57). Primary tumours over 5 cm were more likely to receive CIT (OR = 3.74, P = 0.043, 95% CI = 1.04-13.42). Site-specific metastases of liver, brain and pericardial effusion were not associated with CIT. CONCLUSIONS: Patients with higher comorbidity score were less likely to receive CIT, suggesting chemotherapy avoidance in comorbid patients. Larger tumours are associated with CIT use, indicating that oncologists may use tumour size as a surrogate of disease burden. Limitations include small sample size and data cut-off. Future prospective studies could incorporate comorbid status and a validated disease burden score to stratify patients.

Attenuating ribosome load improves protein output from mRNA by limiting translation-dependent mRNA decay.

Developing an effective mRNA therapeutic often requires maximizing protein output per delivered mRNA molecule. We previously found that coding sequence (CDS) design can substantially affect protein output, with mRNA variants containing more optimal codons and higher secondary structure yielding the highest protein outputs due to their slow rates of mRNA decay. Here, we demonstrate that CDS-dependent differences in translation initiation and elongation rates lead to differences in translation- and deadenylation-dependent mRNA decay rates, thus explaining the effect of CDS on mRNA half-life. Surprisingly, the most stable and highest-expressing mRNAs in our test set have modest initiation/elongation rates and ribosome loads, leading to minimal translation-dependent mRNA decay. These findings are of potential interest for optimization of protein output from therapeutic mRNAs, which may be achieved by attenuating rather than maximizing ribosome load.

Translation-dependent and -independent mRNA decay occur through mutually exclusive pathways defined by ribosome density during T cell activation.

mRNA translation and decay are tightly interconnected processes both in the context of mRNA quality-control pathways and for the degradation of functional mRNAs. Cotranslational mRNA degradation through codon usage, ribosome collisions, and the recruitment of specific proteins to ribosomes is an important determinant of mRNA turnover. However, the extent to which translation-dependent mRNA decay (TDD) and translation-independent mRNA decay (TID) pathways participate in the degradation of mRNAs has not been studied yet. Here we describe a comprehensive analysis of basal and signal-induced TDD and TID in mouse primary CD4+ T cells. Our results indicate that most cellular transcripts are decayed to some extent in a translation-dependent manner. Our analysis further identifies the length of untranslated regions, the density of ribosomes, and GC3 content as important determinants of TDD magnitude. Consistently, all transcripts that undergo changes in ribosome density within their coding sequence upon T cell activation display a corresponding change in their TDD level. Moreover, we reveal a dynamic modulation in the relationship between GC3 content and TDD upon T cell activation, with a reversal in the impact of GC3- and AU3-rich codons. Altogether, our data show a strong and dynamic interconnection between mRNA translation and decay in mammalian primary cells.

Tailor made: the art of therapeutic mRNA design.

mRNA medicine is a new and rapidly developing field in which the delivery of genetic information in the form of mRNA is used to direct therapeutic protein production in humans. This approach, which allows for the quick and efficient identification and optimization of drug candidates for both large populations and individual patients, has the potential to revolutionize the way we prevent and treat disease. A key feature of mRNA medicines is their high degree of designability, although the design choices involved are complex. Maximizing the production of therapeutic proteins from mRNA medicines requires a thorough understanding of how nucleotide sequence, nucleotide modification and RNA structure interplay to affect translational efficiency and mRNA stability. In this Review, we describe the principles that underlie the physical stability and biological activity of mRNA and emphasize their relevance to the myriad considerations that factor into therapeutic mRNA design.

Estimating cancers attributable to physical inactivity in Australia.

OBJECTIVES: It was previously estimated that 1814 (1.6 % of incident cancers) were attributable to physical inactivity in Australia in 2010, when only three sites were considered. We estimated the burden of cancer due to physical inactivity in Australia for 13 sites. DESIGN: The population attributable fraction estimated site-specific cancer cases attributable to physical inactivity for 13 cancers. The potential impact fraction was used to estimate cancers that could have been prevented in 2015 if Australian adults had increased their physical activity by a modest amount in 2004-05. METHODS: We used 2004-05 national physical activity prevalence data, 2015 national cancer incidence data, and contemporary relative-risk estimates for physical inactivity and cancer. We assumed a 10-year latency period. RESULTS: An estimated 6361 of the cancers observed in 2015 were attributable to physical inactivity, representing 4.8 % of all cancers diagnosed. If Australian adults had increased their physical activity by one category in 2004-05, 2564 cases (1.9 % of all cancers) could have been prevented in 2015. CONCLUSIONS: More than three times as many cancers are attributable to physical inactivity than previously reported. Physical activity promotion should be a central component of cancer prevention programmes in Australia.

Diverse strategies are needed to support physical activity engagement in women who have had breast cancer.

PURPOSE: Physical activity can improve health in people living with and beyond breast cancer; however, how to best support physical activity participation in this population is unclear. This qualitative study sought to identify important physical activity program components for breast cancer. METHODS: Women with previous breast cancer (n = 11) and allied health professionals (n = 7) participated in one-on-one semi-structured interviews (n = 15) or focus groups (n = 1). Qualitative data were analyzed using reflexive thematic analysis methods. RESULTS: Four main themes were generated including (1) the need for physical activity programs; (2) person-centered programs; (3) flexible physical activity programs; and (4) systems factors. These reflected the health and non-health benefits of physical activity, the need to facilitate agency, the diversity in individual characteristics, preferences, abilities, and commitments of people with lived experience of cancer, as well as the need for physical activity programs to be integrated within the broader health system. CONCLUSION: Strategies to support physical activity engagement for breast cancer should embrace the diversity of those who are diagnosed with cancer as well as the diversity in which physical activity can be achieved.

Higher-risk SIPAT score predicts increased risk of long-term mortality in orthotopic heart transplant recipients.

BACKGROUND: Orthotopic heart transplantation (OHT) improves survival in eligible patients. Organ scarcity necessitates extensive clinical and psychosocial evaluations before listing. The Stanford Integrated Psychosocial Assessment for Transplant (SIPAT) predicts risk for poor psychosocial outcomes and morbidity in the first year post-transplant, yet it is unknown whether it predicts long-term outcomes. METHODS: Blinded examiners obtained data from a retrospective cohort of 51 OHT recipients from a high-volume center. Patients with "Excellent" or "Good" SIPAT score indicating low psychosocial risk for transplant (E/G) were compared with those who met "Minimum Acceptable Criteria" or were "High Risk" (MAC/HR). Associations were examined between SIPAT group and outcomes. RESULTS: MAC/HR versus E/G recipients had significantly reduced survival in the 10 years post-OHT (mean 6.7 vs 8.8 years, p = 0.027; 55% vs 82% survival proportions, p = 0.037). MAC/HR patients were more likely to live in a county with greater income inequality (p = 0.025) and have psychiatric history pre-OHT (p = 0.046). Both groups had otherwise similar demographics and medical history. A lower proportion of MAC/HR patients adhered to medications post-OHT and a greater proportion had psychiatric illness, though differences were not significant. CONCLUSIONS: Higher-risk SIPAT scores predict reduced long-term survival post-OHT. Further efforts are crucial to improve outcomes in higher-risk patients.

LOREALAUS: LOrlatinib REAL-World AUStralian Experience in Advanced ALK-Rearranged NSCLC.

Introduction: Over the past decade, ALK tyrosine kinase inhibitors have delivered unprecedented survival for individuals with ALK-positive (ALK+) lung cancers. Real-world data enhance the understanding of optimal drug sequencing and expectations for survival. Methods: Multicenter real-world study of individuals with pretreated advanced ALK+ lung cancers managed on a lorlatinib access program between 2016 and 2020. Key outcomes were lorlatinib efficacy, tolerability, and treatment sequencing. Progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan-Meier method among all individuals (PFSa and OSa), with at least 30 days (one-cycle) lorlatinib exposure (PFSb and OSb), and with good performance status (PFSc and OSc). Subgroups of interest were analyzed to assess signals of potential clinical applicability. Two OS index dates were analyzed, from lorlatinib initiation and advanced ALK+ diagnosis. Results: The population (N = 38, 10 sites) was heavily pretreated (23 had ≥2 previous treatment lines) with a high disease burden (26 had 2-4 sites and 11 had >4 sites of metastatic disease, 19 had brain metastases). The overall response rate was 44% and the disease control rate was 81%. Lorlatinib dose reduction (18%), interruption (16%), and discontinuation (3%) were consistent with the trial experience. From advanced ALK+ diagnosis, the median OS for populations a, b, and c was 45.0 months, 69.9 months and 61.2 months respectively. From lorlatinib initiation, the median PFSa, PFSb and PFSc was 7.3 months, 13.2 months and 27.7 months and the median OSa, OSb and OSc was 19.9 months, 25.1 months and 27.7 months. The median PFSa with versus without brain metastases was 34.6 months versus 5.8 months (p = 0.09). The intracranial median PFS was 14.2 months. Previous good response versus poor response to the first ALK-directed therapy median PFSa was 27.7 months versus 4.7 months with a hazard ratio of 0.3 (p = 0.01). Conclusions: Lorlatinib is a potent, highly active brain-penetrant third-generation ALK tyrosine kinase inhibitors with benefits for most individuals in the later-line setting in a real-world evaluation, consistent with clinical trial data.

Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation.

The protective effect of physical activity on breast cancer incidence may partially be mediated by inflammation. Systematic searches of Medline, EMBASE, and SPORTDiscus were performed to identify intervention studies, Mendelian randomization studies, and prospective cohort studies that examined the effects of physical activity on circulating inflammatory biomarkers in adult women. Meta-analyses were performed to generate effect estimates. Risk of bias was assessed, and the Grading of Recommendations Assessment, Development, and Evaluation system was used to determine the overall quality of the evidence. Thirty-five intervention studies and one observational study met the criteria for inclusion. Meta-analyses of randomized controlled trials (RCT) indicated that, compared with control groups, exercise interventions reduced levels of C-reactive protein (CRP) [standardized mean difference (SMD) = -0.27, 95% confidence interval (CI) = -0.62 to 0.08), tumor necrosis factor alpha (TNFα, SMD = -0.63, 95% CI = -1.04 to -0.22), interleukin-6 (IL6, SMD = -0.55, 95% CI = -0.97 to -0.13) and leptin (SMD = -0.50, 95% CI = -1.10 to 0.09). Owing to heterogeneity in effect estimates and imprecision, evidence strength was graded as low (CRP, leptin) or moderate (TNFα and IL6). High-quality evidence indicated that exercise did not change adiponectin levels (SMD = 0.01, 95% CI = -0.14 to 0.17). These findings provide support for the biological plausibility of the first part of the physical activity-inflammation-breast cancer pathway.

Linking Physical Activity to Breast Cancer via Inflammation, Part 2: The Effect of Inflammation on Breast Cancer Risk.

This review synthesized and appraised the evidence for an effect of inflammation on breast cancer risk. Systematic searches identified prospective cohort and Mendelian randomization studies relevant to this review. Meta-analysis of 13 biomarkers of inflammation were conducted to appraise the evidence for an effect breast cancer risk; we examined the dose-response of these associations. Risk of bias was evaluated using the ROBINS-E tool and the quality of evidence was appraised with Grading of Recommendations Assessment, Development, and Evaluation. Thirty-four observational studies and three Mendelian randomization studies were included. Meta-analysis suggested that women with the highest levels of C-reactive protein (CRP) had a higher risk of developing breast cancer [risk ratio (RR) = 1.13; 95% confidence interval (CI), 1.01-1.26] compared with women with the lowest levels. Women with highest levels of adipokines, particularly adiponectin (RR = 0.76; 95% CI, 0.61-0.91) had a reduced breast cancer risk, although this finding was not supported by Mendelian randomization analysis. There was little evidence of an effect of cytokines, including TNFα and IL6, on breast cancer risk. The quality of evidence for each biomarker ranged from very low to moderate. Beyond CRP, the published data do not clearly support the role of inflammation in the development of breast cancer.

An engineered T7 RNA polymerase that produces mRNA free of immunostimulatory byproducts.

In vitro transcription (IVT) is a DNA-templated process for synthesizing long RNA transcripts, including messenger RNA (mRNA). For many research and commercial applications, IVT of mRNA is typically performed using bacteriophage T7 RNA polymerase (T7 RNAP) owing to its ability to produce full-length RNA transcripts with high fidelity; however, T7 RNAP can also produce immunostimulatory byproducts such as double-stranded RNA that can affect protein expression. Such byproducts require complex purification processes, using methods such as reversed-phase high-performance liquid chromatography, to yield safe and effective mRNA-based medicines. To minimize the need for downstream purification processes, we rationally and computationally engineered a double mutant of T7 RNAP that produces substantially less immunostimulatory RNA during IVT compared with wild-type T7 RNAP. The resulting mutant allows for a simplified production process with similar mRNA potency, lower immunostimulatory content and quicker manufacturing time compared with wild-type T7 RNAP. Herein, we describe the computational design and development of this improved T7 RNAP variant.

Linking Physical Activity to Breast Cancer Risk via the Insulin/Insulin-like Growth Factor Signaling System, Part 2: The Effect of Insulin/Insulin-like Growth Factor Signaling on Breast Cancer Risk.

Perturbation of the insulin/insulin-like growth factor (IGF) signaling system is often cited as a mechanism driving breast cancer risk. A systematic review identified prospective cohort studies and Mendelian randomization studies that examined the effects of insulin/IGF signaling (IGF, their binding proteins (IGFBP), and markers of insulin resistance] on breast cancer risk. Meta-analyses generated effect estimates; risk of bias was assessed and the Grading of Recommendations Assessment, Development and Evaluation system applied to evaluate the overall quality of the evidence. Four Mendelian randomization and 19 prospective cohort studies met our inclusion criteria. Meta-analysis of cohort studies confirmed that higher IGF-1 increased risk of breast cancer; this finding was supported by the Mendelian randomization studies. IGFBP-3 did not affect breast cancer. Meta analyses for connecting-peptide and fasting insulin showed small risk increases, but confidence intervals were wide and crossed the null. The quality of evidence obtained ranged from 'very low' to 'moderate'. There were insufficient studies to examine other markers of insulin/IGF signaling. These findings do not strongly support the biological plausibility of the second part of the physical activity-insulin/IGF signaling system-breast cancer pathway. Robust conclusions cannot be drawn due to the dearth of high quality studies. See related article by Swain et al., p. 2106.

Linking Physical Activity to Breast Cancer Risk via Insulin/Insulin-Like Growth Factor Signaling System, Part 1: The Effect of Physical Activity on the Insulin/Insulin-Like Growth Factor Signaling System.

Physical activity may reduce the risk of developing breast cancer via its effect on the insulin/insulin-like growth factor (IGF) signaling system. A systematic review searched for randomized controlled trials (RCT), Mendelian randomization and prospective cohort studies that examined the effects of physical activity on insulin/IGF signaling [IGFs, their binding proteins (IGFBP), and markers of insulin resistance] in adult women. Meta-analyses were performed to generate effect estimates. Risk of bias was assessed, and the Grading of Recommendations Assessment, Development, and Evaluation system used to determine the overall quality of the evidence. Fifty-eight RCTs met our inclusion criteria, no observational or Mendelian randomization studies met the criteria for inclusion. Meta-analyses indicated that physical activity interventions (vs. control) reduced fasting insulin, the Homeostatic Model Assessment for Insulin Resistance and fasting glucose. Physical activity increased IGF-1, but there was no clear effect on IGFBP-3 or the ratio of IGF-1:IGFBP-3. Strong evidence was only established for fasting insulin and insulin resistance. Further research is needed to examine the effect of physical activity on C-peptide and HBA1c in women. Reductions in fasting insulin and insulin resistance following exercise suggest some biological plausibility of the first part of the physical activity-insulin/IGF signaling-breast cancer pathway. See related article by Drummond et al., p. 2116.

A Multi-Center Real-World Experience of IMpower150 in Oncogene Driven Tumors and CNS Metastases.

BACKGROUND: There are limited real world data on the IMpower150 regimen in oncogene driven tumors and central nervous system metastases; this study aims to address this gap. MATERIALS AND METHODS: Retrospective analysis of patients with advanced non-small cell lung cancer treated with the IMpower150 regimen across 12 Australian sites between July 2018 and April 2021. Clinicopathologic and treatment parameters were correlated with efficacy and toxicity. RESULTS: A total of 106 patients identified with median follow up of 8 months (range 0-72). Median age was 61 years (range 33-83), 34% Asian and 58% never-smokers. An oncogene was reported in 94 (89%) patients, EGFR in 72 (68%). At treatment commencement, 50 (47%) patients had brain metastases, 21 (20%) leptomeningeal disease (LMD) and 47 (44%) liver metastases. 27% were treatment-naïve and pemetrexed was substituted for paclitaxel in 44 (42%). The overall response rate was 51% for all patients; 52% in patients with EGFR mutations. Patients with untreated brain metastases prior to commencing IMpower150 had a similar intracranial response as those with treated brain metastases (55% vs. 53%). The median time to treatment failure and overall survival from commencement of IMpower150 was 5.7 and 11.4 months respectively for the entire cohort and 5.2 and 10.5 months in those with an EGFR sensitizing mutation. Overall survival in patients with liver, brain metastases and LMD was 11.0, 11.4, and 7.1 months respectively. No new safety signals seen. CONCLUSION: In this largely oncogene positive, pre-treated population the IMpower150 regimen demonstrated clinically-meaningful responses, including in patients with CNS disease.

Chemical optimization of siRNA for safe and efficient silencing of placental sFLT1.

Preeclampsia (PE) is a rising, potentially lethal complication of pregnancy. PE is driven primarily by the overexpression of placental soluble fms-like tyrosine kinase 1 (sFLT1), a validated diagnostic and prognostic marker of the disease when normalized to placental growth factor (PlGF) levels. Injecting cholesterol-conjugated, fully modified, small interfering RNAs (siRNAs) targeting sFLT1 mRNA into pregnant mice or baboons reduces placental sFLT1 and ameliorates clinical signs of PE, providing a strong foundation for the development of a PE therapeutic. siRNA delivery, potency, and safety are dictated by conjugate chemistry, siRNA duplex structure, and chemical modification pattern. Here, we systematically evaluate these parameters and demonstrate that increasing 2'-O-methyl modifications and 5' chemical stabilization and using sequence-specific duplex asymmetry and a phosphocholine-docosanoic acid conjugate enhance placental accumulation, silencing efficiency and safety of sFLT1-targeting siRNAs. The optimization strategy here provides a framework for the chemical optimization of siRNAs for PE as well as other targets and clinical indications.

[68 Ga]Ga-FAPI-46 PET for non-invasive detection of pulmonary fibrosis disease activity.

PURPOSE: The lack of effective molecular biomarkers to monitor idiopathic pulmonary fibrosis (IPF) activity or treatment response remains an unmet clinical need. Herein, we determined the utility of fibroblast activation protein inhibitor for positron emission tomography (FAPI PET) imaging in a mouse model of pulmonary fibrosis. METHODS: Pulmonary fibrosis was induced by intratracheal administration of bleomycin (1 U/kg) while intratracheal saline was administered to control mice. Subgroups from each cohort (n = 3-5) underwent dynamic 1 h PET/CT after intravenously injecting FAPI-46 radiolabeled with gallium-68 ([68 Ga]Ga-FAPI-46) at 7 days and 14 days following disease induction. Animals were sacrificed following imaging for ex vivo gamma counting and histologic correlation. [68 Ga]Ga-FAPI-46 uptake was quantified and reported as percent injected activity per cc (%IA/cc) or percent injected activity (%IA). Lung CT density in Hounsfield units (HU) was also correlated with histologic examinations of lung fibrosis. RESULTS: CT only detected differences in the fibrotic response at 14 days post-bleomycin administration. [68 Ga]Ga-FAPI-46 lung uptake was significantly higher in the bleomycin group than in control subjects at 7 days and 14 days. Significantly (P = 0.0012) increased [68 Ga]Ga-FAPI-46 lung uptake in the bleomycin groups at 14 days (1.01 ± 0.12%IA/cc) vs. 7 days (0.33 ± 0.09%IA/cc) at 60 min post-injection of the tracer was observed. These findings were consistent with an increase in both fibrinogenesis and FAP expression as seen in histology. CONCLUSION: CT was unable to assess disease activity in a murine model of IPF. Conversely, FAPI PET detected both the presence and activity of lung fibrogenesis, making it a promising tool for assessing early disease activity and evaluating the efficacy of therapeutic interventions in lung fibrosis patients.

Improving clinical trials using Bayesian adaptive designs: a breast cancer example.

BACKGROUND: To perform virtual re-executions of a breast cancer clinical trial with a time-to-event outcome to demonstrate what would have happened if the trial had used various Bayesian adaptive designs instead. METHODS: We aimed to retrospectively "re-execute" a randomised controlled trial that compared two chemotherapy regimens for women with metastatic breast cancer (ANZ 9311) using Bayesian adaptive designs. We used computer simulations to estimate the power and sample sizes of a large number of different candidate designs and shortlisted designs with the either highest power or the lowest average sample size. Using the real-world data, we explored what would have happened had ANZ 9311 been conducted using these shortlisted designs. RESULTS: We shortlisted ten adaptive designs that had higher power, lower average sample size, and a lower false positive rate, compared to the original trial design. Adaptive designs that prioritised small sample size reduced the average sample size by up to 37% when there was no clinical effect and by up to 17% at the target clinical effect. Adaptive designs that prioritised high power increased power by up to 5.9 percentage points without a corresponding increase in type I error. The performance of the adaptive designs when applied to the real-world ANZ 9311 data was consistent with the simulations. CONCLUSION: The shortlisted Bayesian adaptive designs improved power or lowered the average sample size substantially. When designing new oncology trials, researchers should consider whether a Bayesian adaptive design may be beneficial.

The Impact of Transitioning From In-Person to Virtual Heart Transplantation Selection Committee Meetings: Observational Study.

BACKGROUND: Heart transplant selection committee meetings have transitioned from in-person to remote video meetings during the COVID-19 pandemic, but how this impacts committee members and patient outcomes is unknown. OBJECTIVE: The aim of this study is to determine the perceived impact of remote video transplant selection meetings on usability and patient care and to measure patient selection outcomes during the transition period from in-person to virtual meetings. METHODS: A 35-item anonymous survey was developed and distributed electronically to the heart transplant selection committee. We reviewed medical records to compare the outcomes of patients presented at in-person meetings (January-March 2020) to those presented during video meetings (March-June 2020). RESULTS: Among 83 committee members queried, 50 were regular attendees. Of the 50 regular attendees, 24 (48%) were physicians and 26 (52%) were nonphysicians, including nurses, social workers, and coordinators; 46 responses were received, 23 (50%) from physicians and 23 (50%) from nonphysicians, with 41 responses fully completed. Overall, respondents were satisfied with the videoconference format and felt that video meetings did not impact patient care and were an acceptable alternative to in-person meetings. However, 54% (22/41) preferred in-person meetings, with 71% (15/21) of nonphysicians preferring in-person meetings compared to only 35% (7/20) of physicians (P=.02). Of the 46 new patient evaluations presented, there was a statistically nonsignificant trend toward fewer patients initially declined at video meetings compared with in-person meetings (6/24, 25% compared to 10/22, 45%; P=.32). CONCLUSIONS: The transition from in-person to video heart transplant selection committee meetings was well-received and did not appear to affect committee members' perceived ability to deliver patient care. Patient selection outcomes were similar between meeting modalities.

Linking Physical Activity to Breast Cancer via Sex Hormones, Part 1: The Effect of Physical Activity on Sex Steroid Hormones.

The effect of physical activity on breast cancer risk may be partly mediated by sex steroid hormones. This review synthesized and appraised the evidence for an effect of physical activity on sex steroid hormones. Systematic searches were performed using MEDLINE (Ovid), EMBASE (Ovid), and SPORTDiscus to identify experimental studies and prospective cohort studies that examined physical activity and estrogens, progestins, and/or androgens, as well as sex hormone binding globulin (SHBG) and glucocorticoids in pre- and postmenopausal women. Meta-analyses were performed to generate effect estimates. Risk of bias was assessed, and the GRADE system was used to appraise quality of the evidence. Twenty-eight randomized controlled trials (RCT), 81 nonrandomized interventions, and six observational studies were included. Estrogens, progesterone, and androgens mostly decreased, and SHBG increased, in response to physical activity. Effect sizes were small, and evidence quality was graded moderate or high for each outcome. Reductions in select sex steroid hormones following exercise supports the biological plausibility of the first part of the physical activity-sex hormone-breast cancer pathway. The confirmed effect of physical activity on decreasing circulating sex steroid hormones supports its causal role in preventing breast cancer.See related reviews by Lynch et al., p. 11 and Drummond et al., p. 28.