Clinical Drug Trials Research Articles

Transgender people in clinical trials of drugs and biologics: An analysis of ClinicalTrials.gov from 2007 to 2023.

Transgender people have unmet health needs related to chronic conditions such as dementia, osteoporosis and hypertension. Community-driven advocacy increased transgender representation in phase III trials for pharmacological prevention of HIV, but the extent to which drug trials for other conditions have included transgender people is unknown. We investigated the extent to which trials of drugs and biologics represented transgender people across therapeutic areas on ClinicalTrials.gov. Cross-sectional analysis of trials of drugs and biologics registered on ClinicalTrials.gov from 2007-2023. We included efficacy and effectiveness trials (phase II-IV) with transgender-related terms (e.g. 'transgend*'). We labelled trials as Inclusive or Exclusive of transgender people using the trial eligibility criteria. We compared trials (therapeutic area, trial design, enrolment), summarized trials registered from 2008 onward and characterized participant enrolment for Inclusive trials with primary trial publications. We summarized continuous data using median (range), categorical data using frequencies and percentages and compared trial characteristics using Fisher's exact test. Ninety-seven trials represented transgender people. Characteristics were similar between 85 Inclusive and 12 Exclusive trials. Among Inclusive trials, 58% focused on infectious diseases (e.g. treatment or prevention of HIV and COVID-19), 15% on mental health (e.g. post-traumatic stress disorder, substance use-related disorders), and the remainder focused on endocrine (9%), pain (5%), digestive system disorders (1%) and neoplasms (1%). Twenty (of 25) trials reported enrolment of transgender participants in primary trial publications or reported results. Transgender-inclusive trials have increased since 2008. Most trials focused on infectious diseases and mental health. Investigators should increase opportunities to include of transgender people in trials of drugs and biologics for chronic diseases.

Women's health and kidney protective medications.

We discuss the sex-based differences in the pharmacokinetics and pharmacodynamics of kidney protective medications and their implications on women's health. A critical examination of adverse drug reactions highlights the underrepresentation of women in clinical trials for kidney and cardiovascular protective drugs, such as SGLT2 inhibitors, ACE inhibitors, and endothelin receptor antagonists. This underscores the need for sex-specific analyses in clinical studies to accurately assess medication efficacy and safety. The research demonstrates that women are more likely to experience adverse events and less likely to benefit from certain treatments, emphasizing the urgent need for healthcare providers to adopt a sex-informed approach in prescribing practices. Future research should prioritize sex differences from the outset to enhance understanding and improve clinical outcomes for women with chronic kidney disease and cardiovascular conditions.

Association of glucagon-like peptide-1 receptor agonists with risk of cancers-evidence from a drug target Mendelian randomization and clinical trials.

Glucagon-like peptide-1 receptor (GLP1R) agonists have been approved by Food and Drug Administration for management of obesity. However, the causal relationship of GLP1R agonists (GLP1RA) with cancers still unclear. The available cis-eQTLs for drugs target genes (GLP1R) were used as proxies for exposure to GLP1RA. Mendelian randomizations (MR) were performed to reveal the association of genetically-proxied GLP1RA with 14 common types cancer from large-scale consortia. Type 2 diabetes was used as positive control, and the GWASs data including 80154 cases and 853816 controls. Replicating the findings in the FinnGen study and then pooled with meta-analysis. Finally, all the related randomized controlled trails (RCTs) on GLP1RA were systematically searched from PubMed, Embase, and the Cochrane Library to comprehensively synthesize the evidence to validate any possible association with cancers. A total of 22 significant cis-eQTL single-nucleotide polymorphisms were included as genetic instrument. The association of genetically-proxied GLP1RA with significantly decreased type 2 diabetes risk [OR (95%)=0.82 (0.79-0.86), P<0.001], which ensuring the effectiveness of identified genetic instruments. The authors found favorable evidence to support the association of GLP1RA with reduced breast cancer and basal cell carcinoma risk [0.92 (0.88-0.96), P<0.001, 0.92 (0.85-0.99), P=0.029, respectively], and with increased colorectal cancer risk [1.12 (1.07-1.18), P<0.001]. In addition, there was no suggestive evidence to support the association of GLP1RA with ovarian cancer [0.99 (0.90-1.09), P=0.827], lung cancer [1.01 (0.93-1.10), P=0760], and thyroid cancer [0.83 (0.63-1.10), P=0.187]. Our findings were consistent with the meta-analysis. Finally, 80 RCTs were included in the systematic review, with a low incidence of different kinds of cancer. Our study suggests that GLP1RA may decrease the risk of breast cancer and basal cell carcinoma, but increase the risk of colorectal cancer. However, according to the systematic review of RCTs, the incidence of cancer in patients treated with GLP1RA is low. Larger sample sizes of RCTs with long-term follow-up are necessary to establish the incidence of cancers and evaluate the risk-benefit ratios.

Abstract PO4-14-08: A gene expression-based classifier for HER2-low breast cancer

Abstract Background: The definition of HER2-low breast cancer from clinical trials of antibody-conjugated drugs (ADCs) relies on immunohistochemistry scoring (IHC). However, in daily-practice the accuracy of IHC is hindered by inter-observer variability in assessing HER2 non-overexpressing status. Here, we aimed to identify breast cancer primary tumors with low HER2 expression by leveraging gene expression profiling. Materials and methods: A discovery approach was applied to gene expression profile of internal INT1 (n= 125) and INT2 (n= 84) datasets. We identified specific differently expressed genes (DEGs) according to HER2 IHC categories 0, 1+, 2+ and 3+. Principal Component Analysis (PCA) was used to generate a HER2-low signature whose performance was confirmed in the independent INT3 (n= 95), and TCGA and GSE20194 publicly available datasets. The association between the HER2-low signature and HER2 IHC categories was evaluated by non-parametric Kruskal-Wallis (KW) test with post hoc pair wise comparisons (i.e. contrasts); the HER2-low signature discriminatory capability was assessed by estimating the area under the receiver operating characteristic (ROC) curve (AUC) with its corresponding 95% Confidence Interval (CI). Gene Ontology and KEGG analyses were performed to enrich the DEGs for functional information. Results: A 20-gene HER2-low signature, consisting of both up-regulated (n=11) and down-regulated (n=9) genes, was computed based on the DEGs according to HER2 IHC categories as follows: 11 genes specific for the 1+ category, 8 genes for the 2+ category, and 1 gene for the HER2-low category. HER2-low signature genes were significantly enriched with lipid and steroid metabolism pathways, peptidase regulation, and humoral immune response. The HER2-low signature levels demonstrated a significant association with HER2 IHC categories (KW p-value &amp;lt; 0.001) and were distributed in a bell-shaped pattern across IHC categories (low values 0 and 3+; high values 1+ and 2+), effectively distinguishing HER2-low from 0 (contrast p-value &amp;lt; 0.001) and 3+ (contrast p-value &amp;lt; 0.001). Notably, the signature levels were significantly higher in tumors scored with 1+ as compared to 0 (contrast p =0.002). The HER2-low signature association with IHC categories and discriminatory capability was confirmed in the independent INT3 and TCGA datasets with higher values in HER2-low compared to both 0 and 3+. The HER2-low signature achieved an AUC value of 0.72 (95%CI 0.62-0.83) in differentiating HER2 0/3+ from HER2 1+/2+ categories, which is worth noting in light of the individual ERBB2 mRNA AUC value of 0.48 (95%CI 0.34-0.62). Conclusions: The 20-gene HER2-low signature was generated by maximizing the differences in gene expression between tumors with different HER2 status according to IHC. In contrast to the previously published single ERBB2 gene expression assessment, our data presents compelling evidence for effectively distinguishing HER2-low tumors, including those scored as 1+ from HER2-0 tumors. Our signature holds potential in selecting novel candidates for ADC therapy. Citation Format: Serena Di Cosimo, Sara Pizzamiglio, Chiara Maura Ciniselli, Valeria Duroni, Vera Cappelletti, Loris de Cecco, Maria Carmen De Santis, Rosaria Orlandi, Marilena Iorio, Marco Silvestri, Giancarlo Pruneri, Paolo Verderio. A gene expression-based classifier for HER2-low 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 PO4-14-08.

A review of natural products and small-molecule therapeutics acting on central nervous system malignancies: Approaches for drug development, targeting pathways, clinical trials, and challenges.

In 2021, the World Health Organization released the fifth edition of the central nervous system (CNS) tumor classification. This classification uses histopathology and molecular pathogenesis to group tumors into more biologically and molecularly defined entities. The prognosis of brain cancer, particularly malignant tumors, has remained poor worldwide, approximately 308,102 new cases of brain and other CNS tumors were diagnosed in the year 2020, with an estimated 251,329 deaths. The cost and time-consuming nature of studies to find new anticancer agents makes it necessary to have well-designed studies. In the present study, the pathways that can be targeted for drug development are discussed in detail. Some of the important cellular origins, signaling, and pathways involved in the efficacy of bioactive molecules againstCNS tumorigenesis or progression, as well as prognosis and common approaches for treatment of different types of brain tumors, are reviewed. Moreover, different study tools, including cell lines, in vitro, in vivo, and clinical trial challenges, are discussed. In addition, in this article, natural products as one of the most important sources for finding new chemotherapeutics were reviewed and over 700 reported molecules with efficacy against CNS cancer cells are gathered and classified according to their structure. Based on the clinical trials that have been registered, very few of these natural or semi-synthetic derivatives have been studied in humans. The review can help researchers understand the involved mechanisms and design new goal-oriented studies for drug development against CNS malignancies.

Digital Health Technology (DHT) in European Clinical Trials, How to Improve the Status-Quo of the Regulatory Landscape?

Digital health technology (DHT) is increasingly used to facilitate the conduct of clinical drug trials. The European regulatory environment would benefit from some adjustments to realize the full potential of DHTs. Considering current discussions such as the European Accelerating Clinical Trial Initiative (ACT EU), we propose four concrete adjustments to this regulatory landscape to introduce risk-based qualification approaches for DHTs. In our view, these changes would have the potential to facilitate the use of DHT in clinical research and thus provide access to innovative therapies in Europe.

Tumor burden affects the progression pattern on the prognosis in patients treated with sorafenib

The progression pattern of tumors has an impact on the survival of patients with advanced hepatocellular carcinoma (HCC) and has been applied in the design of clinical trials for multiple second-line drugs. Previous research results have been contradictory, and the clinical impact of different progression patterns and their role in survival are still in question.PurposeThe study aims to analyze the impact of different progression patterns and tumor burden size on survival of HCC patients, as well as their interactions, through a retrospective cohort study.Patients and methodsThe study involved 538 patients who had undergone treatment with sorafenib and had shown radiographic progression. The progression pattern was analyzed using Cox regression by including an interaction term between progression pattern and tumor burden, which was then visualized through a graphical analysis. Tumor burden was categorized into low, medium, and high subgroups based on the six-and-twelve criteria, allowing for an exploration of the effect of progression pattern on survival in different tumor burden situations.ResultsCompared to patients with only intrahepatic progression (NIH/IHG) with an overall survival (OS) of 14.1/19.9 months and post-progression survival (PPS) of 8.1/13.1 months respectively, patients with extrahepatic lesions (NEH/EHG) had worse overall and postprogressive survival (OS: 9.3/9.2 months, PPS: 4.9/5.1 months). The hazard ratio for extrahepatic progression (NEH/EHG) compared to intrahepatic progression (NIH/IHG) at low, medium, and high tumor burden were [HR 2.729, 95%CI 1.189-6.263], [HR 1.755, 95%CI 1.269-2.427], and [HR 1.117, 95%CI 0.832-1.499], respectively.ConclusionThe study concluded that the interaction between the tumor progression patterns and tumor burden significantly affects the prognosis of HCC patients. As the tumor burden increases, the sensitivity of the patient’s risk of death to the progression pattern decreases. These findings are valuable in personalized treatment and trial design.

Enhancing drug development and clinical studies with patient-centric sampling using microsampling techniques: Opportunities, challenges, and insights into liquid chromatography-mass spectrometrystrategies.

Microsampling has revolutionized pharmaceutical drug development and clinical research by reducing sample volume requirements, allowing sample collection at home or nontraditional sites, minimizing animal and patient burden, and enabling more flexible study designs. This perspective paper discusses the transformative impact of microsampling and patient-centric sampling (PCS) techniques, emphasizing their advantages in drug development and clinical trials. We highlight the integration of liquid chromatography-mass spectrometry (LC-MS) strategies for analyzing PCS samples, focusing on our research experience and a review of current literatures. The paper reviews commercially available PCS devices, their regulatory status, and their application in clinical trials, underscoring the benefits of PCS in expanding patient enrollment diversity and improving study designs. We also address the operational challenges of implementing PCS, including the need for bridging studies to ensure data comparability between traditional and microsampling methods, and the analytical challenges posed by PCS samples. The paper proposes future directions for PCS, including the development of global regulatory standards, technological advancements to enhance user experience, the increased concern of sustainability and patient data privacy, and the integration of PCS with other technologies for improved performance in drug development and clinical studies. By advancing microsampling and PCS techniques, we aim to foster patient-centric approaches in pharmaceutical sciences, ultimately enhancing patient care and treatment efficacy.

An online survey on public awareness of drug clinical trials in inland cities of northern China.

The aims of this survey were to investigate the public awareness of drug clinical trials (DCTs) and willingness to participate the DCTs, and provide references for propaganda and science popularization of DCTs. A self-designed questionnaire named "an online survey questionnaire on public awareness of DCTs" was used to conduct an online survey from January to March 2022. The demographic characteristics and the response of participants to the awareness and willingness to participate the DCTs were collected. The factors affecting the public awareness of DCTs were analyzed by single factor and binary logistic regression analysis. One thousand three hundred eighty valid questionnaires were collected, and the respondents' awareness rate of DCTs was 61.1%. Thirteen demographic characteristics including age, gender, education, occupation, work fields, household type, marital status, city type, income, medical insurance, medical expenditure, pressure to seek medical care, financial pressure, both significantly affected the qualified rate of participants' awareness of DCTs (p < 0.001) by single factor analysis. Binary logistic regression analysis indicated that education level, work fields, city type, medical insurance, and medical expenditure affected independently the participants' awareness rate of DCTs (p < 0.001). 52.9% of the participants were willing to take part in DCTs. "to promote medical progress" (54.4%) or "believe doctors" (31.1%) were the most frequent reasons for subjects participating in DCTs. The public awareness rate of DCTs and the willingness to participate in drug clinical were significantly affected by the demographic characteristics of subjects. Thus, targeting the needs of the public, propaganda, and science popularization of DCTs should be carried out and served public health.

Incorporating Dermatologic Clinical Research Into Private Practice: A Review.

Clinical research is beneficial for the continued progression of medicine and the larger body of scientific knowledge. Clinical research can be incorporated into a range of settings, ranging from larger learning institutions to small private practices. With the need for continued advancement of the development of pharmaceutical interventions as well as other forms of clinical understanding, it is advantageous to create an environment where smaller, private practices feel comfortable and guided in establishing clinical research. It can be difficult to find the best methods to incorporate in-house clinical research. This review aims to address this gap in the literature, making the establishment of clinical trials, specifically clinical drug trials, more accessible in dermatology for private practices.

Abstract LB203: CRISPR anchor screens to identify co-vulnerabilities and drug combinations in DepMap

Abstract The Cancer Dependency Map (DepMap) aims to systematically map the landscape of cancer vulnerabilities by profiling a wide range of cancer cell lines that collectively represent the heterogeneity of human cancer. An increasing number of targets and biomarkers emerging from this effort are in drug development or clinical trials. However, it is clear that drug resistance is a significant challenge and that drug combinations will be required. CRISPR anchor screens involve introducing an "anchor" which can be either a drug or genetic perturbation, alongside the sgRNA library. This approach provides a way to investigate resistance mechanisms, potential drug combinations, or co-vulnerabilities. As a proof of concept, here we describe CRISPR anchor screens with MRTX1133 as the anchor, which is a potent and selective KRASG12D inhibitor currently in clinical trials. We performed genome-scale loss-of-function CRISPR-Cas12a screens in the presence of MRTX1133 in pancreatic and lung cancer cell lines that harbor the KRASG12D. The goal of these screens was to identify cancer dependencies that are either present or enhanced in the presence of MRTX1133. We find multiple such MRTX1133-induced dependencies that are either common across all cell lines screened or unique to one or a few. This shows that the response to MRTX1133 can vary depending on the context, highlighting the importance of finding biomarkers to predict the response. Identifying the biomarkers of these context-specific dependencies would provide strategies to select patient populations that would respond to the drug combinations. This study not only provides valuable insights into enhancing the efficacy of KRAS-targeted therapies but also serves as a pioneering effort in incorporating innovative CRISPR screen modalities into the DepMap. Citation Format: Jenny Serra-Vinardell, Zoe Posner, Alison Cameron, Yuqi Chen, Negin Karisani, Barbara De Kegel, Joshua M. Dempster, Andrew J. Aguirre, Francisca Vazquez. CRISPR anchor screens to identify co-vulnerabilities and drug combinations in DepMap [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB203.

Quantitative evaluation of the impact of relaxing eligibility criteria on the risk-benefit profile of drugs for lung cancer based on real-world data.

Restrictive eligibility criteria in cancer drug trials result in low enrollment rates and limited population diversity. Relaxed eligibility criteria (REC) based on solid evidence is becoming necessary for stakeholders worldwide. However, the absence of high-quality, favorable evidence remains a major challenge. This study presents a protocol to quantitatively evaluate the impact of relaxing eligibility criteria in common non-small cell lung cancer (NSCLC) protocols in China, on the risk-benefit profile. This involves a detailed explanation of the rationale, framework, and design of REC. To evaluate our REC in NSCLC drug trials, we will first construct a structured, cross-dimensional real-world NSCLC database using deep learning methods. We will then establish randomized virtual cohorts and perform benefit-risk assessment using Monte Carlo simulation and propensity matching. Shapley value will be utilized to quantitatively measure the effect of the change of each eligibility criterion on patient volume, clinical efficacy and safety. This study is one of the few that focuses on the problem of overly stringent eligibility criteria cancer drug clinical trials, providing quantitative evaluation of the effect of relaxing each NSCLC eligibility criterion. This study will not only provide scientific evidence for the rational design of population inclusion in lung cancer clinical trials, but also establish a data governance system, as well as a REC evaluation framework that can be generalized to other cancer studies.

Pharmacokinetics and Preclinical Safety Studies of Modified Endolysin-Based Gel for Topical Application

Antibacterial therapy with phage-encoded endolysins or their modified derivatives with improved antibacterial, biochemical and pharmacokinetic properties is one of the most promising strategies that can supply existing antibacterial drugs array. Gram-negative bacteria-induced infections treatment is especially challenging because of rapidly spreading bacterial resistance. We have developed modified endolysin LysECD7-SMAP with a significant antibacterial activity and broad spectra of action against gram-negative bacteria. Endolysin was formulated in a bactericidal gel for topical application with pronounced effectivity in local animal infectious models. Here we present preclinical safety studies and pharmacokinetics of LysECD7-SMAP-based gel. We have detected LysECD7-SMAP in the skin and underlying muscle at therapeutic concentrations when the gel is applied topically to intact or injured skin. Moreover, the protein does not enter the bloodstream, and has no systemic bioavailability, assuming no systemic adverse effects. In studies of general toxicology, local tolerance, and immunotoxicology it was approved that LysECD7-SMAP gel local application results in the absence of toxic effects after single and multiple administration. Thus, LysECD7-SMAP-containing gel has appropriate pharmacokinetics and can be considered as safe that supports the initiation of the phase I clinical trials of novel antibacterial drug intending to treat acute wound infections caused by resistant gram-negative bacteria.

Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care. A Report of a Multidisciplinary Workshop Coordinated by the RECIST Working Group.

Radiomics, the science of extracting quantifiable data from routine medical images, is a powerful tool that has many potential applications in oncology. The Response Evaluation Criteria in Solid Tumors Working Group (RWG) held a workshop in May 2022, which brought together various stakeholders to discuss the potential role of radiomics in oncology drug development and clinical trials, particularly with respect to response assessment. This article summarizes the results of that workshop, reviewing radiomics for the practicing oncologist and highlighting the work that needs to be done to move forward the incorporation of radiomics into clinical trials.

Drug trials are more likely to disclose full placebo control information than non-drug trials: a cross-sectional study of participant information leaflets of placebo-controlled trials

BackgroundThis study aimed to investigate whether placebo control is differently disclosed in drug and non-drug randomised clinical trial (RCT) participant information leaflets (PILs) and how this might affect participant blinding and direction of study outcomes. MethodsPILs were obtained from trials registered in the International Standard Randomised Controlled Trial Number database via email. Placebo descriptions in PILs were categorised as Full Disclosure (FD), Partial Disclosure (PD), or Missing Information (MI). Associations between intervention type (drug or non-drug)/placebo disclosure (FD or PD/MI) and participant blinding success/trial outcome direction (positive or non-positive) were examined using a two-sided Fisher's exact test. ResultsOf 116 collected PILs, 56% were for drug trials and 44% were for non-drug trials. Among them, 88 PILs had the corresponding publications available and 68 reports specified primary outcomes. Drug trials were more likely to fully disclose placebo information than non-drug trials (92.3% vs. 74.5%, p < 0.05). However, the success rate of blinding was only reported in 3 out of 88 trial publications (3.4%), precluding further analysis. Furthermore, there was no significant association between the direction of trial results and the type of intervention or placebo disclosure. ConclusionOur study findings suggest that drug and non-drug RCTs might differ in the way they reveal placebo control information. Further research is warranted to understand what leads to more common PD of placebo information in non-drug trials than drug trials and to determine the optimal placebo control disclosure in specific trial context.

Biocompatible and Water-Soluble Shortwave-Infrared (SWIR)-Emitting Cyanine-Based Fluorescent Probes for In Vivo Multiplexed Molecular Imaging.

Extending molecular imaging into the shortwave-infrared (SWIR, 900-1400 nm) region provides deep tissue visualization of biomolecules in the living system resulting from the low tissue autofluorescence and scattering. Looking at the Food and Drug Administration-approved and clinical trial near-infrared (NIR) probes, only indocyanine green (ICG) and its analogues have been approved for biomedical applications. Excitation wavelength less than 800 nm limits these probes from deep tissue penetration and noninvasive fluorescence imaging. Herein, we present the synthesis of ICG-based π-conjugation-extended cyanine dyes, ICG-C9 and ICG-C11 as biocompatible, and water-soluble SWIR-emitting probes with emission wavelengths of 922 and 1010 nm in water, respectively. Also, ICG-, ICG-C9-, and ICG-C11-based fluorescent labeling agents have been synthesized for the development of SWIR molecular imaging probes. Using the fluorescence of ICG, ICG-C9, and ICG-C11, we demonstrate three-color SWIR fluorescence imaging of breast tumors by visualizing surface receptors (EGFR and HER2) and tumor vasculature in living mice. Furthermore, we demonstrate two-color SWIR fluorescence imaging of breast tumor apoptosis using an ICG-conjugated anticancer drug, Kadcyla and ICG-C9 or ICG-C11-conjugated annexin V. Finally, we show long-term (38 days) SWIR fluorescence imaging of breast tumor shrinkage induced by Kadcyla. This study provides a general strategy for multiplexed fluorescence molecular imaging with biocompatible and water-soluble SWIR-emitting cyanine probes.

Modern gene therapy drugs

Gene therapy is a modern and effective approach for treating diseases previously considered incurable by traditional methods. Its main strategy is to transfer the genetic material into the patient’s somatic cells to inhibit or promote the expression of a target gene/protein associated with disease development. This type of therapy is used in patients with few or no alternative treatment options.&#x0D; Over the past two decades, gene therapy has produced promising clinical results, with many products approved for treating severe oncologic, hematologic, infectious, orphan, and/or inherited diseases, including monogenic and metabolic diseases. The scope of clinical indications and tissue targets for gene therapy is expanding every year.&#x0D; This review examines new genetically engineered drugs recently introduced in global and domestic markets. These drugs are based on molecules of small interfering RNA (siRNA), mRNA, antisense nucleotides, and viral and plasmid vectors. Each group of drugs is unique and has its mechanism of action, depending on the purpose of the therapy.

Caregiver perspectives on patient-focused drug development for Phelan-McDermid syndrome

BackgroundPhelan-McDermid syndrome (PMS) is a neurodevelopmental disorder caused by SHANK3 haploinsufficiency with clinical manifestations that can be devastating and profoundly affect quality of life.ResultsThe Externally Led Patient-Focused Drug Development (EL-PFDD) meeting was an opportunity for families affected by PMS to share with the Food and Drug Administration (FDA) how symptoms impact their lives and how treatments could be most meaningful. The Voice of the Patient report serves as a summary of this meeting to influence upcoming drug development and clinical trials. The purpose of this report is to provide a clinical perspective on the results of the EL-PFDD meeting to amplify the voice of these caregivers to the scientific community.ConclusionsCaregivers prioritize an improved quality of life for their loved ones characterized by improved cognitive function, improved communication, increased independence, and reduced risk of regression. With these caregiver priorities in mind, this report provides the FDA and the scientific community with a clear understanding of which aspects of PMS should influence the development of future therapeutics.

Abstract 7330: Identifying proteomic risk factors for overall, aggressive and early onset prostate cancer using mendelian randomization and tumor spatial transcriptomics

Abstract Background: Understanding the role of circulating proteins in prostate cancer risk can reveal key biological pathways and identify novel targets for cancer prevention. Methods: We investigated the association of 2,002 genetically predicted circulating protein levels with risk of prostate cancer overall, and of aggressive and early onset disease, using cis-pQTL Mendelian randomization (MR) and colocalization. Findings for proteins with support from both MR, after correction for multiple-testing, and colocalization were replicated using two independent cancer GWAS, one of European and one of African ancestry. Proteins with evidence of prostate-specific tissue expression were additionally investigated using spatial transcriptomic data in prostate tumor tissue to assess their role in tumor aggressiveness. Finally, we mapped risk proteins to drug and ongoing clinical trials targets. Results: We identified 20 proteins genetically linked to prostate cancer risk (14 for overall [8 specific], 7 for aggressive [3 specific], and 8 for early onset disease [2 specific]), of which a majority were novel and replicated. Among these were proteins associated with aggressive disease, such as PPA2 [Odds Ratio (OR) per 1 SD increment = 2.13, 95% CI: 1.54-2.93], PYY [OR = 1.87, 95% CI: 1.43-2.44] and PRSS3 [OR = 0.80, 95% CI: 0.73-0.89], and those associated with early onset disease, including EHPB1 [OR = 2.89, 95% CI: 1.99-4.21], POGLUT3 [OR = 0.76, 95% CI: 0.67-0.86] and TPM3 [OR = 0.47, 95% CI: 0.34-0.64]. We confirm an inverse association of MSMB with prostate cancer overall [OR = 0.81, 95% CI: 0.80-0.82], and also find an inverse association with both aggressive [OR = 0.84, 95% CI: 0.82-0.86] and early onset disease [OR = 0.71, 95% CI: 0.68-0.74]. Using spatial transcriptomics data, we identified MSMB as the genome-wide top-most predictive gene to distinguish benign regions from high grade cancer regions that had five-fold lower MSMB expression. Additionally, ten proteins that were associated with prostate cancer risk mapped to existing therapeutic interventions. Conclusion: Our findings emphasize the importance of proteomics for improving our understanding of prostate cancer etiology and of opportunities for novel therapeutic interventions. Additionally, we demonstrate the added benefit of in-depth functional analyses to triangulate the role of risk proteins in the clinical aggressiveness of prostate tumors. Using these integrated methods, we identify a subset of risk proteins associated with aggressive and early onset disease as priorities for investigation for the future prevention and treatment of prostate cancer. Citation Format: Trishna A. Desai, Asa K. Hedman, Marios Dimitriou, Mine Koprulu, Sandy Figiel, Wencheng Yin, Matthias Johansson, Eleanor L. Watts, Joshua R. Atkins, Aleksandr V. Sokolov, Helgi B. Schioth, Marc J. Gunter, Konstantinos K. Tsilidis, Richard M. Martin, Maik Pietzner, Claudia Langenberg, Ian G. Mills, Alastair D. Lamb, Anders Malarstig, Tim J. Key, The PRACTICAL Consortium, Ruth C. Travis, Karl Smith-Byrne. Identifying proteomic risk factors for overall, aggressive and early onset prostate cancer using mendelian randomization and tumor spatial transcriptomics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7330.

Abstract 5074: Profiling the splicing landscape in solid tumors in a large, real-world dataset

Abstract Introduction Aberrant pre-mRNA splicing is common across cancers. Molecular regulation of splicing is an attractive drug target and clinical trials are currently evaluating splice-targeted therapies (STTs). Due in part to the complex and pleiotropic nature of splicing regulation, molecular biomarkers to identify patients who may benefit from STTs are lacking. While mutations in splicing factors (SFs) are promising biomarkers, these are rare, leaving many patients with unmet need. In this study, we identified and characterized splicing patterns (SPs) in a large, multi-cancer cohort. Methods De-identified patient records with splicing data from the Tempus xR whole transcriptome assay were extracted from the Tempus clinicogenomic database (N=2918). A total of 1052 alternative splicing events were detected in at least 90% of the samples with at least 10 supporting reads. Leiden clustering was applied to the percent spliced-in (PSI) values of these events to identify SPs. Fisher’s exact test was used to assess clinical and molecular enrichment in SPs, and Cox proportional-hazards models were used to assess associations with rwOS and derive hazard ratios (HRs). Results From a list of 404 SF genes 7.7% of patients had one or more pathogenic or likely pathogenic (P/LP) SF variants, and 2.2% had variants in the key biomarker SF genes SF3B1, SRSF2, or U2AF1. Clustering revealed 15 SPs containing 43 to 353 samples. One SP had a significant enrichment of SF variants (19.7% of SP, P &amp;lt; 0.0005). SPs were associated with significant differences in rwOS, and many were enriched for samples from a single cancer type, biopsy, or histology - principally by prostate cancer (97.5% of SP), melanoma (94.3% of SP), urothelial carcinoma (93.4% of SP), and renal clear cell carcinoma (93.0% of SP), as well as samples collected from liver biopsies (93.9% of SP). In contrast, colorectal and lung adenocarcinoma samples were present in a wide variety of SPs. One SP was enriched for squamous histologies (66.6% of SP, P &amp;lt; 0.0005) and associated with shorter rwOS (HR = 1.33, 95% CI [1.11, 1.59], P &amp;lt; 0.0005). This association remained after controlling for squamous histology (HR = 1.45, 95% CI [1.02, 2.05], P = 0.04). Samples in this SP were characterized by increased expression of MYC- and proliferation-related genes, and lacked enrichment for SF variants (P = 0.51, 6.6%). Conclusions Mutations in SFs were rare in our cohort, highlighting the need for additional biomarkers related to STTs. This work revealed the presence of multiple SPs - characterized by distinct clinical and molecular traits. Further work will be able to contextualize STT response data using SPs to facilitate STT biomarker discovery. Citation Format: Mario G. Rosasco, Andrew J. Sedgewick, Justin Guinney, Michelle M. Stein. Profiling the splicing landscape in solid tumors in a large, real-world dataset [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5074.