Summary Of Data Research Articles

Identifying potential drug targets for varicose veins through integration of GWAS and eQTL summary data.

Varicose veins (VV) are a common chronic venous disease that is influenced by multiple factors. It affects the quality of life of patients and imposes a huge economic burden on the healthcare system. This study aimed to use integrated analysis methods, including Mendelian randomization analysis, to identify potential pathogenic genes and drug targets for VV treatment. This study conducted Summary-data-based Mendelian Randomization (SMR) analysis and colocalization analysis on data collected from genome-wide association studies and cis-expression quantitative trait loci databases. Only genes with PP.H4 > 0.7 in colocalization were chosen from the significant SMR results. After the above analysis, we screened 12 genes and performed Mendelian Randomization (MR) analysis on them. After sensitivity analysis, we identified four genes with potential causal relationships with VV. Finally, we used transcriptome-wide association studies and The Drug-Gene Interaction Database data to identify and screen the remaining genes and identified four drug targets for the treatment of VV. We identified four genes significantly associated with VV, namely, KRTAP5-AS1 [Odds ratio (OR) = 1.08, 95% Confidence interval (CI): 1.05-1.11, p = 1.42e-10] and PLEKHA5 (OR = 1.13, 95% CI: 1.06-1.20, p = 6.90e-5), CBWD1 (OR = 1.05, 95% CI: 1.01-1.11, p = 1.42e-2) and CRIM1 (OR = 0.87, 95% CI: 0.81-0.95, p = 3.67e-3). Increased expression of three genes, namely, KRTAP5-AS1, PLEKHA5, and CBWD1, was associated with increased risk of the disease, and increased expression of CRIM1 was associated with decreased risk of the disease. These four genes could be targeted for VV therapy. We identified four potential causal proteins for varicose veins with MR. A comprehensive analysis indicated that KRTAP5-AS1, PLEKHA5, CBWD1, and CRIM1 might be potential drug targets for varicose veins.

Measuring Visual Fields in Children With Glaucoma Using a Portable Tablet.

To compare perimetric outcomes of an iPad perimetry app (Melbourne Rapid Fields [MRF]) with those of the Humphrey Field Analyser (HFA) testing children with glaucoma. Sixteen children diagnosed and treated for glaucoma were recruited to evaluate their perimetric performance over two visits. At each visit, they undertook visual field assessment using the MRF application as well as the HFA. The HFA test was part of their usual clinical work up and a clinical assistant judged which test format (24-2 SITA standard or SITA fast) might be suited to the testing of that child. The primary outcome measure was the association and repeatability of mean deviation (MD) for the MRF and HFA tests, by way of regression, intraclass correlation coefficient and Bland-Altman analysis. Secondary measures were comparisons of pattern deviation indices, test times as well as an indication of participant test preference. Summary data show means ± standard deviation. The age for our cohort was 7 to 15 years of age (mean, 10.0 ± 2.4years of age). The MRF MD was in close concordance to HFA MD with an intraclass correlation coefficient of 0.91 (95% confidence interval, 0.82-0.95). Bland-Altman analysis found little bias (-0.6dB) and a 95% coefficient of repeatability of 2.1dB in eyes having a normal HFA MD. In eyes with glaucomatous visual field defects the 95% coefficient of repeatability at retest was much larger for both the MRF (10.5dB) as well as for the HFA (10.0dB). Average MRF test times (5.6 ± 1.2 minutes) were similar to SITA Fast (5.4 ± 1.9 minutes) with both being significantly faster than SITA standard (8.6 ± 1.4 minutes; P < 0.001). All children chose testing with the MRF as their preference. MRF correlated strongly with HFA and was preferred by the children over the HFA. MRF is suitable for perimetric evaluation of children with glaucoma. This study finds that an iPad based visual field test can be used with children having glaucoma to yield outcomes similar to SITA-fast. Children indicate a preference for such testing.

Motivation and recovery in sports: systematic review

Abstract - Aim Adequate levels of motivation and recovery seem to be associated aspects in the sports context and could contribute to sports participation. Thus, how can athletes’ motivation and recovery be associated in the sport context? The aim was to conduct a systematic review to identify studies investigating a possible relationship between motivation and recovery. Method: Searches were performed between 12/18/2020 and 01/04/2021 and were done in Embase, Portal BVS, PsycNET, PubMed/Medline, SciElo, and SPORTDiscus databases with terms that are specific to each database in three languages. Studies that included athletes in their samples and investigated motivational regulations and recovery states were included. Review studies and those that investigated recovery between sets of exercises or motivation as an incentive to exercise were excluded. Descriptive and analytical data were extracted using a previously prepared form. The synthesis of the relationships between motivational regulations and recovery states were allocated into analytical categories. Results: From the 4,051 studies identified in the databases, 7 met the inclusion criteria and were assessed and analysed. The extraction and summary of analytical data allowed the identification of categories where motivation and recovery were associated with a) psychophysiological outcomes and sports participation and b) readiness to perform the sports task. Conclusion: The studies included in this review suggest that motivational regulation and recovery could be critical in the sports context and could be related to psychophysiological outcomes and sport participation.

Causal inference between pernicious anemia and cancers: a bidirectional two-sample mendelian randomization analysis

BackgroundObservational study investigated the association between pernicious anemia (PA) and cancers. However, with the exception of gastric cancer, the results are mostly contradictory. The purpose of this study was to investigate the potential causal relationship between PA and cancers through bidirectional two-sample Mendelian randomized (MR) analysis.MethodsThe European sample FinnGen project provided the genetic summary data for PA and 20 site-specific cancers. This bidirectional two-sample MR design mainly used the inverse variance weighting (IVW) method to evaluate the causal relationship between PA and cancer risk. Benjamini-Hochberg correction was performed to reduce the bias caused by multiple tests.ResultsOur study shows that there was a causal relationship between PA and gastric cancer, prostate cancer, testicular cancer and malignant melanoma of skin, and there was a reverse causal relationship between prostate cancer or gastric cancer and PA (P < 0.05). After Benjamini-Hochberg correction test, there was still a causal correlation between PA and gastric or prostate cancer (P’ < 0.05), while there was only an implied causal association between PA and testicular cancer and malignant melanoma of skin (P’> 0.05). There was still a reverse causal relationship between gastric cancer and PA (P‘< 0.05), while prostate cancer shows an implied reverse causal relationship(P’> 0.05). In addition, MR-Egger and MR-PRESSO tests showed no significant horizontal pleiotropy.ConclusionsPA may be genetically associated with testicular cancer, prostate cancer, gastric cancer, and malignant melanoma of skin.

Associations between immune cells signatures and osteoarthritis: An integrated analysis of bidirectional Mendelian randomization and Bayesian colocalization

BackgroundPrevious investigations have explored the associations between immune cell signatures and osteoarthritis (OA); however, causality remains unclear. This study employs an integrated analysis, combining bidirectional Mendelian randomization (MR) and Bayesian colocalization (Coloc), to investigate causal relationships between 731 immune cells signatures and OA, identifying shared causal variants. MethodsUtilizing publicly available summary data, this study primarily employs inverse variance weighting (IVW). Supplementary methods include MR-Egger regression, weighted median, weight mode, and simple mode. Various sensitivity tests, including Cochran’s Q test, MR pleiotropy Residual Sum and Outlier, and leave-one-out tests, were conducted to assess the robustness of the analysis results. Coloc was employed to identify shared causal genetic variants among potential associations. ResultsIVW analysis revealed 196 immune cell signatures potentially linked to OA across diverse subtypes. Reverse MR analyses indicated the causal impact of OA on the levels of 140 immune cell signatures, with subtype-specific variations. Notably, several specific associations, including CD64 on CD14-CD16 + monocyte for Hip OA (OR = 1.0593, 95 % CI: 1.0260–1.0938, P = 0.0004), HLA-DR on CD14 + CD16- monocyte (OR = 0.9664, 95 % CI: 0.9497–0.9834, P = 0.0001), HLA-DR on CD14 + monocyte (OR = 0.9680, 95 % CI: 0.9509–0.9853, P = 0.0003) in the Knee or Hip OA, PDL-1 on CD14-CD16 + monocyte by All OA (OR = 1.7091, 95 %CI:1.2494–2.3378, P = 0.0008), and herpesvirus entry mediator on effector memory CD4 + T cell by Spine OA (OR = 0.5200, 95 %CI:0.3577–0.7561, P = 0.0006) remained significant post-Bonferroni correction. Sensitivity tests validated the credibility of the IVW analysis. Additionally, Coloc revealed several potential associations among shared genetic variants, including rs115328872, rs1800973, and rs317667. ConclusionsOur findings provide evidence for the potential involvement of immune cell signatures in OA development, revealing avenues for early prevention and innovative therapeutic strategies.

Application of two-sample Mendelian randomization method to assess the causal relationship between rheumatoid arthritis and osteoporotic fracture.

The association between rheumatoid arthritis (RA) and osteoporotic fracture has garnered considerable attention; however, the causal relationships between diseases remain uncertain. Therefore, this study employed Mendelian randomization (MR) analysis to investigate the causal effects of RA on osteoporotic fracture. The summary data for RA and osteoporotic fracture were extracted from the genome-wide association studies (GWAS) catalog and the Finn Biobank database. The database provides information about diseased and health control subjects. We searched the database for the following conditions: RA, osteoporosis (OP), and osteoporotic fractures. Entries were published by investigating centers, which had established definitions and diagnostic criteria. We downloaded and processed the data to obtain the single-nucleotide polymorphisms (SNPs) strongly associated with RA, OP, and osteoporotic fracture. RA genetic associations were obtained from the GWAS catalog, including 1961 cases and 454,387 controls. The osteoporosis of the GWAS catalog involved 991 cases and 455,357 controls, and the data of the Finn Biobank involved 8,017 cases and 391,037 controls. Genetic associations for osteoporotic fracture were taken from the Finn Biobank of 1822 cases and 311,210 controls. Independent SNPs that are significantly associated with meeting the criteria of p < 5 × 10-8, r2 < 0.001, and kb = 10,000 were selected for MR analysis. The inverse variance-weighted (IVW) method along with other MR methods was employed for analysis, while sensitivity analyses were conducted to assess reliability and stability. The results provided strong evidence that RA was causally and positively associated with osteoporosis from the GWAS catalog (OR = 1.16590; 95% CI: 1.04067-1.30619; p = 0.00811) and the Finn Biobank database (OR = 1.07314; 95% CI: 1.03455-1.11317; p = 0.00016). Moreover, a positive causal relationship was detected between RA and osteoporotic fracture (OR = 1.10132; 95% CI: 1.00506-1.20680; p = 0.03863). The results were robust according to sensitivity tests. This study showed positive causal relationships between RA and osteoporotic fracture. These results should be considered in further studies and public health measures on osteoporosis prevention strategies.

Gene association analysis to determine the causal relationship between immune-mediated inflammatory diseases and frozen shoulder.

Multiple studies have indicated a potential correlation between immune-mediated inflammatory diseases (IMIDs) and Frozen shoulder (FS). To explore the genetic causal relationship between IMIDs and FS using 2-sample Mendelian randomization (MR) analysis. Genome-wide association study (GWAS) summary data for FS were obtained from Green's study, while data for 10 IMIDs were sourced from the FinnGen Consortium. The MR analysis was performed using inverse variance weighting, MR Egger, and weighted median methods. IVW, as the primary MR analysis technique, was complemented with other sensitivity analyses to validate the robustness of the results. Additionally, reverse MR analysis was further conducted to investigate the presence of reverse causal relationships. In the forward MR analysis, genetically determined 4 IMIDs are causally associated with FS: rheumatoid arthritis (odds ratio [OR] (95% confidence interval [95% CI]) = 1.05 [1.02-1.09], P < .01); type 1 diabetes (OR [95% CI] = 1.06 [1.03-1.09], P < .01); hypothyroidism (OR [95% CI] = 1.07 [1.01-1.14], P = .02); and Celiac disease (OR [95% CI] = 1.02 [1.01-1.04], P = .01). However, no causal relationship was found between 6 IMIDs (autoimmune hyperthyroidism, Crohn disease, ulcerative colitis, psoriasis, sicca syndrome and systemic lupus erythematosus) and FS. Sensitivity analyses did not detect any heterogeneity or horizontal pleiotropy. In the reverse MR analysis, no causal relationship was observed between FS and IMIDs. In conclusion, this MR study suggests a potential causal relationship between rheumatoid arthritis, type 1 diabetes, hypothyroidism, and Celiac disease in the onset and development of FS. Nevertheless, more basic and clinical research will be needed in the future to support our findings.

Causal relationship between genetic proxies for calcium channel blockers and the risk of depression: a drug-target Mendelian randomization study.

Calcium channel blockers (CCBs) are widely used in the clinical management of hypertension. Depression, a common comorbidity of hypertension, is an important issue in the management of hypertension. However, the impact of CCBs on depression risk remains controversial. We aim to investigate the causal effect of CCBs on depression through drug-target Mendelian randomization (MR) analysis. To proxy CCBs, we utilized the genetic variations located in or around drug target genes that were related to systolic blood pressure (SBP). Coronary artery disease (CAD) served as the positive control outcome. Genetic summary data of SBP, CAD, and depression were obtained from genome-wide association studies (GWAS) based on European population. Inverse variance weighted (IVW) method was applied as the main analysis to estimate the causal effect. Cochran's Q test, MR-Egger intercept, MR pleiotropy residual sum and outlier (MR-PRESSO) and leave-one-out sensitivity analysis were used to test the robustness of the results. Meta-analysis was applied to further confirm whether causal relationships existed between CCBs and depression. The IVW results failed to reveal any causal relationship between genetic proxies for CCBs and depression (P > 0.05). Cochran's Q test showed no evidence of heterogeneity (P > 0.05). The MR-Egger intercept test suggested no evidence of directional pleiotropy, and the MR pleiotropy residual sum and outlier (MR-PRESSO) global test for horizontal pleiotropy was also not significant (P > 0.05). Leave-one-out analysis did not reveal any genetic variant that influenced the results. In addition, the meta-analysis further confirmed the absence of a causal relationship. The present study indicates no association of genetic proxies for CCBs with depression. Further studies are necessary to provide definitive evidence.

Latent mastoiditis (literature review)

Introduction. Mastoiditis is an extracranial complication of acute or chronic purulent otitis media, leading to periostitis or osteitis of the mastoid process, accompanied by obvious symptoms and requiring urgent surgical treatment. Latent mastoiditis is defined as a stage of local inflammation due to acute otitis media, without an obvious clinical picture of progressive destruction of the bone cells of the mastoid process. Recently, there has been a trend towards an increase in indolent forms of mastoiditis. The use of systemic antibiotic therapy for the treatment of acute otitis media complicates timely diagnosis and contributes to the chronicity of inflammation in the structures of the temporal bone. Making a diagnosis of latent mastoiditis requires vigilance from outpatient clinicians and the use of objective imaging methods due to the risk of developing intracranial complications.Aim. Conduct a review of literature sources to determine diagnostic criteria for the formation of latent mastoiditis in outpatient patients.Materials and methods. A search was carried out for articles from public databases using the query: “latent mastoiditis”, including data from literary sources whose authors made a significant contribution to the development of otorhinolaryngology. Summary data of the literature review, including both original studies and descriptions of clinical cases, identifying the main causes of the formation of latent mastoiditis and its clinical symptoms.Results and discussion. Local inflammation of the mastoid process, due to acute otitis media, has a progressive course of chronic sluggish inflammation of the bone structures of the temporal bone. Diagnosis of latent mastoiditis causes difficulties for practical healthcare doctors due to subtle clinical manifestations, and therefore it is necessary to determine the indications for referral to computed tomography.Conclusion. The medical and social significance of latent mastoiditis is that it has an unfavorable not only functional, but sometimes life prognosis, as it can cause the development of intracranial complications.

Characterizing human postprandial metabolic response using multiway data analysis

IntroductionAnalysis of time-resolved postprandial metabolomics data can improve our understanding of the human metabolism by revealing similarities and differences in postprandial responses of individuals. Traditional data analysis methods often rely on data summaries or univariate approaches focusing on one metabolite at a time.ObjectivesOur goal is to provide a comprehensive picture in terms of the changes in the human metabolism in response to a meal challenge test, by revealing static and dynamic markers of phenotypes, i.e., subject stratifications, related clusters of metabolites, and their temporal profiles.MethodsWe analyze Nuclear Magnetic Resonance (NMR) spectroscopy measurements of plasma samples collected during a meal challenge test from 299 individuals from the COPSAC2000 cohort using a Nightingale NMR panel at the fasting and postprandial states (15, 30, 60, 90, 120, 150, 240 min). We investigate the postprandial dynamics of the metabolism as reflected in the dynamic behaviour of the measured metabolites. The data is arranged as a three-way array: subjects by metabolites by time. We analyze the fasting state data to reveal static patterns of subject group differences using principal component analysis (PCA), and fasting state-corrected postprandial data using the CANDECOMP/PARAFAC (CP) tensor factorization to reveal dynamic markers of group differences.ResultsOur analysis reveals dynamic markers consisting of certain metabolite groups and their temporal profiles showing differences among males according to their body mass index (BMI) in response to the meal challenge. We also show that certain lipoproteins relate to the group difference differently in the fasting vs. dynamic state. Furthermore, while similar dynamic patterns are observed in males and females, the BMI-related group difference is observed only in males in the dynamic state.ConclusionThe CP model is an effective approach to analyze time-resolved postprandial metabolomics data, and provides a compact but a comprehensive summary of the postprandial data revealing replicable and interpretable dynamic markers crucial to advance our understanding of changes in the metabolism in response to a meal challenge.

Causal relationship between inflammatory proteins and glioblastoma: a two-sample bi‑directional mendelian randomization study.

Background: Observational studies have indicated a potential correlation between glioblastoma and circulating inflammatory proteins. Further investigation is required to establish a causal relationship between these two factors. Methods: We performed a Mendelian randomization (MR) analysis using genome-wide association study (GWAS) summary of 91 circulating inflammation-related proteins (N = 14,824) to assess their causal impact on glioblastoma. The GWAS summary data for glioblastoma included 243 cases and 287,137 controls. The inverse variance weighted (IVW) method was used as the primary analytical method to assess causality. Four additional MR methods [simple mode, MR-Egger, weighted median, and weighted mode] were used to supplement the IVW results. Furthermore, several sensitivity analyses were performed to assess heterogeneity, horizontal pleiotropy, and stability. Reverse MR analysis was also performed. glioblastoma transcriptomic data from The Cancer Genome Atlas (TCGA) were analyzed to validate the findings obtained through MR, while pathway and functional enrichment analyses were conducted to predict the potential underlying mechanisms. Results: Our findings from employing the inverse variance weighted method in our forward MR analysis provide robust evidence supporting a potential association between glioblastoma and elevated levels of Cystatin D, as well as decreased levels of fibroblast growth factor 21 (FGF21) in the circulation. Moreover, our reverse MR analysis revealed that glioblastoma may contribute to increased concentrations of C-X-C motif chemokine 9 (CXCL9) and Interleukin-33 (IL-33) in the bloodstream. Transcriptomic analysis showed that FGF21 expression was inversely associated with the risk of developing glioblastoma, whereas an increased risk was linked to elevated levels of CXCL9 and IL-33. Pathway and functional enrichment analyses suggested that Cystatin D might exert its effects on glioblastoma through intracellular protein transport, whereas FGF21 might affect glioblastoma via glucose response mechanisms. Conclusion: These results indicate that FGF21 is a significant factor in glioblastoma susceptibility. Glioblastoma also affects the expression of inflammatory proteins such as C-X-C motif chemokine 9 and Interleukin-33, providing new insights into the mechanisms of glioblastoma genesis and clinical research.

Association among attention-deficit hyperactivity disorder, restless legs syndrome, and peripheral iron status: a two-sample Mendelian randomization study.

Epidemiological evidence indicates a high correlation and comorbidity between Attention Deficit Hyperactivity Disorder (ADHD) and Restless Legs Syndrome (RLS). We aimed to investigate the causal relationship and shared genetic architecture between ADHD and RLS, as well as explore potential causal associations between both disorders and peripheral iron status. We performed two-sample Mendelian randomization (MR) analyses using summary statistics from genome-wide meta-analyses of ADHD, RLS, and peripheral iron status (serum iron, ferritin, transferrin saturation, and total iron binding capacity). Additionally, we employed linkage disequilibrium score regression (LDSC) to assess genetic correlations between ADHD and RLS using genetic data. Our MR results supports a causal effect from ADHD (as exposure) to RLS (as outcome) (inverse variance weighted OR = 1.20, 95% CI: 1.08-1.34, p = 0.001). Conversely, we found no a causal association from RLS to ADHD (inverse variance weighted OR = 1.04, 95% CI: 0.99-1.09, p = 0.11). LDSC analysis did not detect a significant genetic correlation between RLS and ADHD (Rg = 0.3, SE = 0.16, p = 0.068). Furthermore, no evidence supported a causal relationship between peripheral iron deficiency and the RLS or ADHD onset. However, RLS may have been associated with a genetic predisposition to reduced serum ferritin levels (OR = 1.20, 95% CI: 1.00-1.04, p = 0.047). This study suggests that ADHD is an independent risk factor for RLS, while RLS may confer a genetic predisposition to reduced serum ferritin levels. The GWAS summary data utilized originated from populations of European ancestry, limiting the generalizability of conclusions to other populations. The potential co-occurrence of RLS in individuals with ADHD should be considered during diagnosis and treatment. Moreover, iron supplementation may be beneficial for alleviating RLS symptoms.

Research on the academic thought of distinguished veteran doctors of traditional Chinese medicine based on Mendelian randomization: a case study of the causation between Sjögren’s syndrome and rheumatoid arthritis

Aim: This study investigated the causation between Sjögren’s syndrome (SS) and rheumatoid arthritis (RA) based on Mendelian randomization (MR), with the purpose of promoting research on the academic thought of distinguished veteran doctors of traditional Chinese medicine (TCM) via bioinformatics with information technology and providing new basis for better inheriting and carrying forward the valuable experience of a National Master of TCM, Zhizheng Lu. Methods: The causation between RA and SS in TCM was inferred from the perspective of coordination between dryness and dampness. For further assessment, MR was performed based on the summary data of genome-wide association studies (GWAS), with genetic loci closely related to SS(instrumental variables (IVs)), RA(research outcome), inverse-variance weighted (IVW) and MR-Egger regression and weighted median (WME) ( main MR methods). Heterogeneity was evaluated by Cochran Q test, pleiotropy by MR-Egger regression, and robustness by the Leave-One-Out method. Results: Except for MR-Egger, all other methods showed a clear statistical significance in the association between SS and RA (P&lt;0.05). Conclusion: This study, based on the academic thought of distinguished TCM veteran doctor and the thought “moistening dryness” of National Master of TCM, Zhizheng Lu, speculated that there may be a potential association between SS and RA. MR results demonstrated the clear genetic causation between SS and RA, and the guiding role of the academic thought of distinguished TCM veteran doctor in clinical practice genetically.

Internet of things-based approach for glycemic control in people with type 2 diabetes: A randomized controlled trial.

The utilization of long-term effect of internet of things (IoT) on glycemic control is controversial. This trial aimed to examine the effect of an IoT-based approach for type 2 diabetes. This randomized controlled trial enrolled 1,159 adults aged 20-74 years with type 2 diabetes with a HbA1c of 6.0-8.9% (42-74 mmol/mol), who were using a smartphone on a daily basis were randomly assigned to either the IoT-based approach group (ITG) or the control group (CTG). The ITG were supervised to utilize an IoT automated system that demonstrates a summary of lifelogging data (weight, blood pressure, and physical activities) and provides feedback messages that promote behavioral changes in both diet and exercise. The primary end point was a HbA1c change over 52 weeks. Among the patients, 581 were assigned to the ITG and 578 were in the CTG. The changes in HbA1c from baseline to the final measurement at 52 weeks [mean (standard deviation)] were -0.000 (0.6225)% in ITG and - 0.006 (0.6449)% in CTG, respectively (P = 0.8766). In the per protocol set, including ITG using the IoT system almost daily and CTG, excluding those using the application almost daily, the difference in HbA1c from baseline to 52 weeks were -0.098 (0.579)% and 0.027 (0.571)%, respectively (P = 0.0201). We observed no significant difference in the adverse event profile between the groups. The IoT-based approach did not reduce HbA1c in patients with type 2 diabetes. IoT-based intervention using data on the daily glycemic control and HbA1c level may be required to improve glycemic control.

Psychological outcomes in patients with rare cancers: a systematic review and meta-analysis

Rare cancers are those that exhibit an incidence of less than six per 100,000 in a year. On average, the five-year relative survival for patients with rare cancers is worse than those with common cancers. The traumatic experience of cancer can be further intensified in patients with rare cancers due to the limited clinical evidence and the lack of empirical evidence for informed decision-making. With rare cancers cumulatively accounting for up to 25% of all cancers, coupled with the rising burden of rare cancers on societies globally, it is necessary to determine the psychological outcomes of patients with rare cancers. This PRISMA-adherent systematic review (PROSPERO: CRD42023475748) involved a systematic search of PubMed, Embase, Cochrane and PsycINFO for all peer-reviewed English language studies published since 2000 to 30th January 2024 that evaluated the prevalence, incidence and risk of depression, anxiety, suicide, and post-traumatic stress disorder (PTSD) in patients with rare cancers. Two independent reviewers appraised and extracted the summary data from published studies. Random effects meta-analyses and meta-regression were used for primary analysis. We included 32 studies with 57,470 patients with rare cancers. Meta-analyses indicated a statistically significant increased risk-ratio (RR) of depression (RR=2.61, 95% CI: 1.43-4.77, I2=97%) and anxiety (RR=2.66, 95% CI: 1.27-5.55, I2=92%) in patients with rare cancers compared to healthy controls. We identified a high suicide incidence (315 per 100,000 person-years, 95% CI: 162-609, I2=95%), prevalence of depression (17%, 95% CI: 14-22, I2=88%), anxiety (20%, 95% CI: 15-25, I2=96%) and PTSD (18%, 95% CI: 9-32, I2=25%). When compared to patients with common cancer types, suicide incidence, and PTSD prevalence were significantly higher in patients with rare cancers. Systematic review found that having advanced disease, chemotherapy treatment, lower income, and social status were risk factors for negative psychological outcomes. We highlight the need for early identification of psychological maladjustment in patients with rare cancers. Additionally, studies to identify effective interventions are imperative. This study was supported by the National Medical Research Council Transition Award, SingHealth Duke-NUS Oncology Academic Clinical Programme, the Khoo Pilot Collaborative Award, the National Medical Research Council Clinician Scientist-Individual Research Grant-New Investigator Grant, the Terry Fox Grant and the Khoo Bridge Funding Award.

Abstract PO5-15-08: Role of next-generation sequencing testing in metastatic breast cancer

Abstract Background: With recent advances in therapy, patients with metastatic breast cancer have been living longer. Treatment has previously largely depended on the subtypes of breast cancer (ER/PR positive, HER2 positive, triple negative). In recent years, testing metastatic breast cancer samples for somatic and germline mutations has revealed additional therapeutic targets which could help patients further than standard therapeutic options. Recent evidence has demonstrated that targeted therapy may offer an advantage in overall survival in patients with metastatic breast cancer. However, data regarding the use of targeted therapy is still sparse and its overall impact on metastatic breast cancer patients needs to be further investigated. We wanted to study genomic testing in such patients and see how often it leads to new therapy recommendations beyond standard of care as we move towards the era of precision medicine. Methods: Patients who were diagnosed with metastatic breast cancer between 2015-2020 were screened and a total of 193 patients were identified. Baseline characteristics, treatment/outcome and NGS testing information was collected. Univariate two group comparisons were performed using t-tests for continuous variables, and using chi-square, or Fisher’s tests if cell counts were &amp;lt; 5 for categorical variables. Survival analysis for progression free survival (PFS) and overall survival (OS) were done using log rank tests. Results: Out of 193 patients, the majority (189) were female. There were 121 (62.7%) White patients, 69 (35.8%) Black patients, and 3 (1.6%) patients that were another race. 30.6 % of patients received next-generation sequencing (NGS) testing, 68.4% of patients did not, and 1% were unknown. Patients that received NGS testing were on average younger than those that did not receive NGS testing (53.24 years old vs 65.17 years old, respectively). Patients that received NGS testing were more likely to be premenopausal (p &amp;lt; .0001). Patients without NGS testing were more likely to die than those with NGS testing (p=.0327). There were no statistically significant differences observed in percentage of patients getting NGS testing done and whether patients were triple negative, HER2 positive with hormone receptor positive or negative, and HER2 negative with hormone receptor positive. As the year of metastatic breast cancer diagnosis advanced from 2015-2020, a high percentage of patients received NGS testing (i.e. 20% diagnosed in 2015 received NGS testing, whereas 50% diagnosed in 2020 received NGS testing). As the number of years between diagnosis and last follow-up increased, the probability of progression decreased for patients that had NGS testing done. Patients with NGS testing did better than those without NGS testing, but patients with no treatment change had the lowest probability of progression. Conclusion: On average, only 30% of patients are receiving NGS testing, however it is being done more often in recent years than ever before. There is a clear progression free survival benefit seen in patients who received NGS testing. It is interesting to note that those who did not receive any changes in treatment based on NGS testing have the lowest probability of progression, but overall survival was not different for any of the different groups studied. This could be related to the low number of patients with NGS testing in our analysis. Further studies are warranted to understand this association. Table. Summary of NGS testing data in various demographic categories There was a statistically significant difference in whether NGS testing was obtained or not and age, menopausal status and current status. There was no statistically significant difference in whether NGS testing was obtained or not and gender or race. Citation Format: Kashmira Wani, Manasi Godbole, Brigid Jacob, Kylie Springer, Vrushali Dabak. Role of next-generation sequencing testing in metastatic breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-15-08.

Abstract PO2-27-11: Antitumor efficacy and safety of sacibertinib (Hemay022) in combination with endocrine therapy in patients with ER+ and HER2+ metastatic breast cancer: A phase Ib study

Abstract PURPOSE Sacibertinib (Hemay022) is a novel irreversible tyrosine kinase inhibitor (TKI) blocking epidermal growth factor receptor and human epidermal growth factor receptor 2 (HER2). This study aimed to explore the safety and efficacy of sacibertinib plus endocrine therapy in patients with estrogen receptor-positive (ER+) and HER2-positive (HER2+) &amp;gt;metastatic breast cancer (MBC). PATIENTS AND METHODS Using a phase 1b 3+3 dose escalation and expansion study design, patients with ER+/HER2+ MBC were treated with sacibertinib (200mg-500mg daily) plus endocrine therapy including exemestane, letrozole, fulvestrant . The safety, pharmacokinetic (PK) and clinical efficacy, including objective response rate (ORR), clinical benefit rate (CBR), disease control rate (DCR) and progression-free survival (PFS) were assessed. (Clinical Trials.gov identifier: NCT03308201). RESULTS A total of 55 ER+/HER2+ MBC patients pretreated with chemotherapy and anti-HER2 therapy were enrolled in the study between March, 2018 and July, 2021. Fifty-five patients were included in safety analysis and 51 patients were assessed for efficacy analysis. Sacibertinib plus endocrine therapy was well-tolerated without dose-limiting toxicities. The overall median PFS was 9.0 months [95% confidence interval (95% CI), 5.5 ~ 11.0]. The ORR, CBR, and DCR were better in the 400 mg and 500mg dose cohorts than in the 200 mg and 300 mg cohorts. The DCR of the 500 mg combined with the exemestane cohort was better than that of cohorts of other doses. In the 400 mg sacibertinib plus exemestane cohort (N = 18), ORR was 38.9% (7/18) , DCR was 72.2%(13/18), CBR was 66.7%(12/18), and median PFS was 8.9 months (95%CI, 2.7 ~ 16.4 ) ; In the 500 mg sacibertinib plus exemestane cohort (N = 12), ORR was 25.0% (3/12), DCR was 100%(12/12), CBR was 50.0%(6/12), and median PFS was 9.0 months (95%CI, 2.1~NA. Treatment-emergent AEs (TEAEs) were mostly within grades 1–2. The most frequent grade 3 TEAE was diarrhea (9.1%). One (1.8%) had grade 4 abnormal liver function. CONCLUSIONS Sacibertinib plus endocrine therapy had a favorable safety profile and antitumor activity in patients with ER+/HER2+ MBC, 400 -500mg sacibertinib daily showed more efficacy, supporting further assessment in randomized studies. Summary of efficacy data(EAS) NOTE. NA, not available (because cannot be calculated) Treatment-Emergent Adverse Events Occurring in ≥ 10% of Patients in the Safety Population Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; Waterfall plot of best change rate in target-lesion size from baseline Citation Format: Hui-Ping Li, Qingyuan Zhang, Ruyan Zhang, Yaxin Liu, Chang Liu, Xianjun Hu. Antitumor efficacy and safety of sacibertinib (Hemay022) in combination with endocrine therapy in patients with ER+ and HER2+ metastatic breast cancer: A phase Ib study [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-27-11.

Abstract PO1-17-08: Post-approval treatment patterns and tolerability of neratinib in HER2+ early-stage breast cancer

Abstract Background: While the approval status for neratinib in HER2+ early-stage breast cancer (EBC) allows its use following any trastuzumab-based therapy, the phase 3 ExteNET trial (NCT00878709), which yielded an improvement in disease-free survival, was conducted when single-agent adjuvant trastuzumab was standard of care (SOC) and before approvals of adjuvant pertuzumab + trastuzumab (FDA-approved 2017) or trastuzumab emtansine (T-DM1; FDA-approved 2019). Given recent changes in SOC for HER2+ EBC, health care professionals may seek contemporary and real-world information regarding treatment patterns and tolerability of neratinib. Methods: A literature review was performed to identify studies that characterized trends in use of extended adjuvant neratinib in HER2+ EBC. Due to differences in study design (interventional, observational, claims data) and populations studied, a descriptive summary of data is presented in lieu of statistical cross-study comparisons. Results: Following FDA approval of neratinib in HER2+ EBC in 2017, five studies have reported treatment patterns of extended adjuvant neratinib in a clinical trial or real-world setting; three studies included safety data (Table 1). In the phase 2 CONTROL trial (NCT02400476; N=563; 2015–2021), approx. 82%, 17%, and 1% of neratinib-treated pts received prior adjuvant trastuzumab, pertuzumab, or T-DM1, respectively, and prior neoadjuvant/adjuvant pertuzumab did not affect rates of grade ≥3 diarrhea, diarrhea-related discontinuations, or treatment duration.1 In an interim analysis of the observational ELEANOR study (NCT04388384; N=187; 2020–ongoing), approx. 41%, 33%, and 19% of neratinib-treated pts received prior adjuvant trastuzumab (as their only anti-HER2 treatment), pertuzumab + trastuzumab, or T-DM1, respectively; corresponding rates of grade ≥3 diarrhea were 19%, 25%, and 14%, respectively, with no new safety signals reported.2 In a chart review from the US Oncology Network (N=166; 2017–2020), approx. 99%, 43%, and 2% of neratinib-treated pts received prior adjuvant trastuzumab (56% as their sole anti-HER2 treatment), pertuzumab, or T-DM1, respectively.3 Diarrhea was mainly moderate (29%; n=43/150) or mild (22%; n=33/150), with few severe cases (1%; n=2/150).3 In a retrospective analysis employing the IQVIA claims database (N=385; 2017–2021), prior use of recently approved adjuvant agents increased over time, with rates of prior pertuzumab + trastuzumab or prior T-DM1 as high as 52% and 14%, respectively, in 2020.4 In the Neat-HER virtual registry (N=46; 2018–2021), approx. 41% and 11% of neratinib-treated pts received prior adjuvant pertuzumab or T-DM1, respectively.5 Conclusions: Recent studies have observed neratinib use in clinical practice following adjuvant trastuzumab-based therapy including pertuzumab + trastuzumab or T-DM1. Preliminary data suggest a similar safety profile for pts with/without prior pertuzumab. These datasets are limited by the fact that: (1) some pts were enrolled in the CONTROL trial prior to launch of adjuvant T-DM1 and pertuzumab; (2) the interval between T-DM1 launch in Europe and start of the ELEANOR study was relatively short; and (3) not all toxicity measures were formally graded. A summary of available safety and effectiveness results is forthcoming. Additional interventional and non-interventional studies will continue to evaluate the safety and effectiveness of neratinib following current SOC adjuvant therapy in HER2+ EBC. Table 1. Treatment patterns of HER2-targeted adjuvant agents preceding neratinib use in HER2+ EBC ITT, intent-to-treat; T-DM1, ado-trastuzumab emtansine. aTherapies were recorded as used for adjuvant therapy in CONTROL, ELEANOR, US Oncology, and Neat-HER. CONTROL includes unpublished data. In the IQVIA claims analysis, HER2-targeted agent(s) used within 12 months prior to neratinib initiation were assumed to be adjuvant therapies. Pertuzumab use was generally taken in combination with trastuzumab as dual HER2 blockade and some pts received more than one anti-HER2 adjuvant treatment, for example T-DM1 in addition to pertuzumab plus trastuzumab. bAdjuvant trastuzumab monotherapy or in combination with chemotherapy unless noted otherwise. cThe proportion of patients who took at least one tablet of neratinib for ≥75% of the prescribed treatment days and did not take neratinib on days when neratinib was not prescribed. dData forthcoming. eIncludes prior trastuzumab monotherapy and trastuzumab used in combination with pertuzumab; 93/166 pts (56%) received trastuzumab as their only anti-HER2 agent (monotherapy or in combination with chemotherapy; unpublished data). fIncludes prior trastuzumab monotherapy as well as trastuzumab used in combination with pertuzumab. References Citation Format: Kelly McCann, Nadia Harbeck, Debu Tripathy, Arlene Chan, Jay Andersen, Joyce O'Shaughnessy, Gregory Vidal. Post-approval treatment patterns and tolerability of neratinib in HER2+ early-stage breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-17-08.

Abstract PS17-07: Interim analysis of giredestrant + inavolisib in MORPHEUS Breast Cancer: a Phase Ib/II study of giredestrant treatment combinations in estrogen receptor-positive, HER2-negative, locally advanced/metastatic breast cancer

Abstract BACKGROUND Patients with estrogen receptor-positive metastatic breast cancer (ER+ mBC) almost always progress on first-line endocrine therapy (ET), which is usually combined with a cyclin-dependent kinase 4/6 inhibitor (CDK4/6i). Finding effective ET combinations after progression following CDK4/6is remains a challenge. Giredestrant (GIR) is a highly potent, nonsteroidal, oral, selective ER antagonist and degrader. Inavolisib (INAVO) is a highly potent PI3Kα-selective inhibitor that promotes degradation of mutated p110α. After first-line treatment (tx) with a CDK4/6i, PIK3CA mutations (mut), which are common, persist and remain a sensitive oncogenic target in these patients. We present a 16-week interim analysis of GIR vs GIR + INAVO in MORPHEUS BC (NCT04802759). METHODS Patients whose tumors harbored a PIK3CAmut and who had disease progression on up to two lines of endocrine-based therapy (including at least one prior line of CDK4/6i) for locally advanced (LA)/mBC were randomized 1:6 to receive GIR (30 mg orally daily [PO QD]) or GIR + INAVO (9 mg PO QD) tx until disease progression or unacceptable toxicity. Given the small numbers, the GIR arm is presented for overall safety. Primary endpoints are safety and objective response rate (ORR). Other endpoints include progression-free survival (PFS), disease control rate (DCR), and pharmacokinetics. Genetic alterations were identified centrally in baseline circulating tumor DNA using the FoundationOne Liquid CDx assay. In cases where PIK3CAmut could not be determined centrally, local blood or tissue results are used. RESULTS As of April 18, 2023, seven and 15 patients were enrolled in the GIR and GIR + INAVO arms, respectively; 71% (n = 5) and 67% (n = 10) received one prior line of therapy in the LA/mBC setting; 14% (n = 1) and 33% (n = 5) received two prior lines; and one GIR-arm patient received four prior lines. Prior fulvestrant (FUL) was received by 53% of patients in the GIR + INAVO arm (n = 8). For GIR + INAVO, the ORR was 47% (n = 7); the complete response rate was 7% (n = 1); and the partial response (PR) rate was 40% (n = 6). The DCR at 12 weeks was 80% (12/15 patients). The median PFS was 10.3 months (95% confidence interval = 6.5, not evaluable) with 47% of patients (n = 7) having events. In the GIR + INAVO arm, 5/6 patients with an ESR1mut had a PR (83%) and one (17%) had stable disease. No clinically relevant drug–drug interaction was observed. Safety data are presented in the table. Two patients experienced grade 3 hyperglycemia, one of whom had baseline elevated HbA1c and has been on insulin therapy since the event. The other patient received a single day of insulin treatment. In the GIR + INAVO arm, the incidence of rash and stomatitis (all grade 1) was 13% each. CONCLUSIONS An encouraging efficacy signal was observed with GIR + INAVO when compared cross-trial with BYLieve arm A (PMID: 33794206). ORRs were 47% in MORPHEUS BC vs 21% in BYLieve for patients with measurable disease (although no prior FUL was allowed in BYLieve). Safety of GIR + INAVO was aligned to the individual safety profiles of each of the drugs, with no new safety signals identified and a favorable tolerability profile for a PI3Kα inhibitor-based combination. Table. Safety summary Data are % of patients. AE, adverse event; GIR, giredestrant; INAVO, inavolisib; TRAE, treatment-related adverse event; tx, treatment. Citation Format: Hope Rugo, Maria Gion, Cristina Hernando, Kyung Hae Jung, Mafalda Oliveira, Melinda Telli, Gregory Vidal, Sina Vatandoust, Jing Zhu, Richard Schwab, Huy Ngo, Erika Ferreira, Ann Collier, Vanessa Breton, Einav Gal-Yam. Interim analysis of giredestrant + inavolisib in MORPHEUS Breast Cancer: a Phase Ib/II study of giredestrant treatment combinations in estrogen receptor-positive, HER2-negative, locally advanced/metastatic breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS17-07.

Abstract PO4-17-11: Normalized Breast Cancer Survival Outcomes in U.S. Tumor Registries

Abstract Background The largest U.S. tumor registries, NCDB (National Cancer Database) and SEER (Surveillance, Epidemiology, and End Results Program), are vital sources of epidemiological data and are frequently utilized in research. Although the NCDB includes the majority of patients diagnosed with breast cancer, it is a hospital-based registry. In contrast, SEER is a population-based registry, but includes less than half of all breast cancer patients diagnosed each year. While the US Cancer Statistics Public Use Database (USCS) captures nearly all breast cancers, treatment and survival data are not included. As such, we sought to normalize the NCDB and SEER populations to mirror the USCS population and examine survival outcomes after normalization. Methods All patients diagnosed with stage I-IV breast cancer (2010-2018) were selected from the NCDB and SEER. Frequencies of patients by select characteristics were exported from the USCS. Rates from the USCS were then used to normalize the NCDB and SEER cohorts, using patient weighted frequencies for age, sex, race/ethnicity, tumor biomarkers [estrogen receptor (ER), HER2], and extent of disease (local, regional, distant; anatomic staging data not available in USCS). Of note, the USCS does not have individual patient-level data (only summary data for select variables), and thus, weighted frequencies were used for normalization. The weighted frequencies were calculated based on the total number of patients in the USCS database divided by the total number of patients in the NCDB or SEER separately for each variable (age, sex, race/ethnicity, etc). Weighted and unweighted data were summarized with N (%). Unweighted patient and disease characteristics (crude data) were compared using Chi-square tests. Overall survival (OS) was estimated using the Kaplan-Meier method before and after normalization. Results The USCS cohort included 2,473,739 patients; the NCDB included 1,441,556 and SEER 504,938. The median followup was 54.9 months for NCDB and 57 months for SEER. There were minimal differences between the cohorts based on age (age &amp;lt; 50y: USCS 18.1%, NCDB 19.3%, SEER 18.9%) or sex (female: USCS 99.1%, NCDB 99.1%, SEER 99.3%). However, there were notable differences in the racial/ethnic composition; non-Hispanic White: USCS 75%, NCDB 78.2%, SEER 68.2%; non-Hispanic Black: USCS 11.4%, NCDB 11.4%, SEER 9.9%; Hispanic: USCS 8.3%, NCDB 5.9%, SEER 11.7%; p&amp;lt; 0.001 for USCS vs NCDB and USCS vs SEER). There were minimal differences in tumor biomarkers (ER+: USCS 82.9%, NCDB 83%, SEER 84.9%; HER2+: USCS 14.5%, NCDB 14.1%, SEER 13.8%), but significant differences in extent of disease (local: USCS 66.1%, NCDB 80.2%, SEER 68.4%; distant: USCS 6%, NCDB 3.9%, SEER 3.9%; p&amp;lt; 0.001 for USCS vs NCDB and USCS vs SEER). For the variables that were similar without weighting (age, sex, tumor biomarkers), OS was also similar after weighting (Table). After normalizing the NCDB based on race, 8-year OS remained comparable (crude 77.2% vs weighted 77.3%); similar findings were noted after normalizing SEER (crude 75.8% vs weighted 75.3%). After normalizing the NCDB based on extent of disease, 8-year OS was notably worse (crude 77.2% vs weighted 74.2%); similar findings were noted for SEER (crude 75.8% vs weighted 74.4%). Conclusions While national tumor registries afford researchers the opportunity to study large breast cancer cohorts, they do not always fully represent the entire breast cancer population. This limitation should be considered when working with these data sets. Table. Citation Format: Tori Chanenchuk, Kerri-Anne Crowell, Samantha Thomas, Rachel Greenup, Jennifer Plichta. Normalized Breast Cancer Survival Outcomes in U.S. Tumor Registries [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-17-11.