Clinical Trials Of Novel Therapeutics Research Articles

Abstract PO2-06-03: Meta-Analysis of Clinical Characteristics and Outcomes in Breast Cancer Patients with Visceral Crisis

Abstract Background: Recent advancements in novel therapeutics have resulted in improved survival over the last decade for patients with metastatic breast cancer, but there remain subsets of patients who experience disproportionately poor outcomes. Patients with visceral crisis (VC), defined by the 5th ESO ESMO as the presence of visceral metastasis with severe organ compromise and/or rapid progression, are often excluded from clinical trials of novel therapeutics. This is despite patients with VC having poorer clinical outcomes and a lack of guidelines consensus on best therapeutic practices. Thus, we sought to better characterize this patient cohort via a meta-analysis to elucidate clinical characteristics and treatment options. Methods: We searched MEDLINE, Embase, Cochrane, Scopus and other sources, from each database's inception to March 2023. The search strategy was designed and conducted by an experienced librarian with input from the study's principal investigator. Controlled vocabulary supplemented with keywords was used to search for patients with breast cancer in visceral crisis. Outcomes of interest included mortality and progression at different time points. Meta-analysis was conducted using the random-effects model. Results: The studies matching our initial inquiry was 154. After evaluation for patient number, and VC related outcomes, 16 studies (12 abstract only) met initial criteria. After data extraction, 12 studies were excluded due to insufficient outcomes delineated by VC. The treatment period was 01/2008 until 01/2022. The mean age at diagnosis of VC was 53.9 with a total of 6404 patients, 6259 were hormone positive, 41 Her2 positive and 87 triple negative. The type of VC included 212 liver dysfunction, 84 respiratory dysfunction, 40 with bone marrow dysfunction, 4 with SVC syndrome, and 43 with meningeal disease (VC type is not reported in every study). The treatments were varied and included multiple platinum doublets, CDK4/6 with endocrine therapy, platinum with bevacizumab, endocrine monotherapy and Her-2 targeted agents. Unfortunately, the number of patients per treatment group or VC type is not enough for targeted outcome analysis. The proportion of patients who progressed at 1, 6, 12 and 18 months were 0.17, 0.64, 0.95 and 0.91 respectively (2 studies Yang et al and Funasaka et al). Mortality assessed as proportion who expired at 1, 6, 12 and 18 months at 0.07, 0.44, 0.64 and 0.77 respectively (3 studies Yang et al, Funasaka et al and Franzoi et al) and at 24 months 0.89 in 4 studies (Yang et al, Funasaka et al, Dawood et al and Franzoi et al) (Table 1). Conclusions In this systematic review, we clearly demonstrate a lack of clinical trial data available to demonstrate specific outcomes based on chemotherapy, visceral crisis type or targeted treatment. The prognosis, however, is consistently poor with mortality at 64 percent by 12 months. Thus, further studies are needed to guide best treatment strategies that address both the poor clinical outcomes and therapeutic toxicities for patients with VC. Clinical trial groups and regulatory bodies overseeing new drug development for breast cancer should consider specific arms for patients with VC, instead of targeted exclusion from trials, as this strategy has proven effective in expansion of therapeutics for other challenging breast cancer subtypes. Table 1 Table 1: Proportion of progression and mortality. Progression studies include Yang et al 2022, Funasaka et al 2021. Mortality studies at 1, 6 and 12 months Yang et al 2022, Funasaka et al 2021 and Franzoi et al 2021. Mortality studies at 24 months Yang et al 2022, Funasaka et al 2021, Franzoi et al 2021, Dawood et al 2021. Citation Format: Michael Auster, Raed Benkhadra, Sophia Lee, Tamarah Aldawoodi, Larry Prokop, Tarek Nayfeh, Paromita Datta, Kate Lathrop. Meta-Analysis of Clinical Characteristics and Outcomes in Breast Cancer Patients with Visceral Crisis [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 PO2-06-03.

Brain Age Is Associated with Cognitive Outcomes of Cholinesterase Inhibitor Treatment in Patients with Mild Cognitive Impairment.

The effect of cholinesterase inhibitor (ChEI) on mild cognitive impairment (MCI) is controversial. Brain age has been shown to predict Alzheimer's disease conversion from MCI. The study aimed to show that brain age is related to cognitive outcomes of ChEI treatment in MCI. Brain MRI, the Clinical Dementia Rating (CDR) and Mini-Mental State Exam (MMSE) scores were retrospectively retrieved from a ChEI treatment database. Patients who presented baseline CDR of 0.5 and received ChEI treatment for at least 2 years were selected. Patients with stationary or improved cognition as verified by the CDR and MMSE were categorized to the ChEI-responsive group, and those with worsened cognition were assigned to the ChEI-unresponsive group. A gray matter brain age model was built with a machine learning algorithm by training T1-weighted MRI data of 362 healthy participants. The model was applied to each patient to compute predicted age difference (PAD), i.e. the difference between brain age and chronological age. The PADs were compared between the two groups. 58 patients were found to fit the ChEI-responsive criteria in the patient data, and 58 matched patients that fit the ChEI-unresponsive criteria were compared. ChEI-unresponsive patients showed significantly larger PAD than ChEI-responsive patients (8.44±8.78 years versus 3.87±9.02 years, p = 0.0067). Gray matter brain age is associated with cognitive outcomes after 2 years of ChEI treatment in patients with the CDR of 0.5. It might facilitate the clinical trials of novel therapeutics for MCI.

Expanding Cognitive Screening for Older Adults in Primary Care

Abstract In this piece, we raise the topic of universal cognitive screening for older adults. Dementia is the leading cause of disability, individual struggles, family challenges, and greater societal costs. We argue that universal screening for cognitive impairment among all individuals aged 65 and above has several important benefits: (1) Early diagnosis of Alzheimer's disease and Related Dementias (ADRDs) can improve the clinical management of patients. (2) It allows adequate time to recruit interested patients in clinical trials of novel therapeutics and to track longitudinally their cognitive and clinical status. (3) Enable objective metrics of target engagement in response to novel treatments. (4) Ensure earlier implementation of effective treatments during windows of opportunity that can yield the greatest improvements in patients' outcome and finally, (5) Can offer individuals diagnosed with ADRDs a longer lead time to make important decisions about their personal and family life in the remaining time they have.

Shedding light on innate immune dysfunction in a mouse model of Alzheimer’s disease using a novel myeloid cell‐targeted PET imaging strategy

AbstractBackgroundNon‐invasive assessment of maladaptive innate immune responses in the brains of Alzheimer’s disease (AD) patients is a critical unmet need; such techniques have the potential to not only improve diagnosis and disease monitoring, but also serve as endpoints in clinical trials of novel therapeutics. Positron emission tomography (PET) imaging of the translocator protein 18 kDa (TSPO) is a widely used experimental approach for assessing inflammation in vivo but is limited by its lack of cell specificity and inability to discriminate between beneficial and adverse immune responses. We developed the first PET probe targeting triggering receptor expressed on myeloid cells 1 (TREM1) and demonstrated its ability to specifically detect CNS‐infiltrating pathogenic peripheral myeloid cells (e.g., macrophages, monocytes, neutrophils) in the context of neurological disease. Herein, we assess the utility of TREM1‐PET compared to TSPO‐PET for detecting innate immune responses in the 5XFAD mouse model of AD.Method5XFAD and wild‐type (WT) 6–7‐month‐old mice underwent 10 min static TREM1‐ and TSPO‐PET/CT imaging. TSPO‐PET was performed 50–60 minutes post‐intravenous injection of [18F]GE‐180 (175.1±13.8 μCi). TREM1‐PET was performed 20 hours following intravenous injection of [64Cu]TREM1‐mAb (94.75±4.96 μCi). Tracer binding was quantified in the cortex, hippocampus, thalamus, and whole brain using a semi‐automated brain atlas‐based approach. CD68 immunostaining of brain tissue was performed to assess microglia/macrophage activation.ResultTREM1‐PET quantification revealed significantly increased [64Cu]TREM1‐mAb binding in the hippocampus (1.37‐vs‐1.14 %ID/g, p=0.02) and thalamus (1.00‐vs‐0.76 %ID/g, p=0.04) of 6–7‐month‐old 5XFAD compared to WT mice (Fig 1A). Elevated TREM1‐PET binding was observed in the cortex (1.77‐vs‐1.62 %ID/g, p=0.14) and whole brain (1.64‐vs‐1.46 %ID/g, p=0.08) but did not reach significance. TSPO‐PET imaging demonstrated significantly increased [18F]GE‐180 binding in all regions (cortex: 2.36‐vs‐1.48 %ID/g; p=0.0003, hippocampus: 2.59‐vs‐1.52 %ID/g, p<0.0001, thalamus: 2.18‐vs‐1.20 %ID/g, p<0.0001, whole brain: 2.55‐vs‐1.66 %ID/g, p=0.0003, Fig. 1B). CD68 staining confirmed increased microglia/macrophage activation in cortical, hippocampal, and thalamic regions (Fig 2).ConclusionDifferential regional binding patterns were observed with TREM1‐ and TSPO‐PET imaging. Notably, increased TREM1‐PET signal in 5XFAD animals suggests a role for peripheral myeloid cells in AD. Longitudinal whole‐body TREM1‐ and TSPO‐PET imaging in this model is currently underway.

Biomarkers for Osteoarthritis Diseases.

Growing evidence has revealed the pivotal role of inflammatory biomarkers in the pathogenesis of osteoarthritis. There is significant interest in the prognostic value of select biomarkers, given the potential for early identification and treatment of patients at risk of osteoarthritis prior to the development of irreversible clinical disease. Clinical trials of novel therapeutics that disrupt the inflammatory pathways of osteoarthritis are also ongoing. The purpose of this review is to summarize the current literature on key biomarkers within the context of osteoarthritis pathogenesis, clinical symptom development, and treatment capabilities. Multiple recent studies have established biomarkers that signal the existence of osteoarthritis pathology and the development of clinical symptomology. However, prior to implementation in clinical practice, additional research is required to precisely define the prognostic value for numerous biomarkers and standardize their measurement. Biomarker-driven investigations represent a promising avenue for the early diagnosis and treatment of osteoarthritis.

Velocity-based optoretinography for clinical applications

Optoretinography (ORG) is an emerging tool for testing neural function in the retina. Unlike existing methods, it is noninvasive and objective, and provides information about retinal structure and function at once. As such, it has great potential to transform ophthalmic care and clinical trials of novel therapeutics designed to restore or preserve visual function. Recent efforts have demonstrated the feasibility of ORG using state-of-the-art optical coherence tomography systems. These methods measure the stimulus-evoked movement of subcellular features in the retina, using the phase of reflected light to monitor their positions. Here we present an alternative approach that monitors the velocity of these features instead. This conceptual shift has significant implications for the nascent field of ORG. By avoiding the need to track specific cells over time, it obviates costly and laborious aspects of position-based approaches, such as adaptive optics, digital aberration correction, real-time tracking, and three-dimensional segmentation and registration. We used this velocity-based approach to measure the photoreceptor ORG responses in three healthy subjects. The resulting responses were reproducible and exhibited dependence on dose and retinal eccentricity. The possibility of reconstructing the position signal through numerical integration of velocity was explored.

Clinical Assessment of Fetal Well-Being and Fetal Safety Indicators.

Delivering safe clinical trials of novel therapeutics is central to enable pregnant women and their babies to access medicines for better outcomes. This review describes clinical monitoring of fetal well‐being and safety. Current pregnancy surveillance includes regular antenatal checks of blood pressure and urine for signs of gestational hypertension. Fetal and placental development is assessed routinely using the first‐trimester “dating” and mid‐trimester “anomaly” ultrasound scans, but the detection of fetal anomalies can continue throughout pregnancy using targeted sonography or magnetic resonance imaging (MRI). Serial sonography can be used to assess fetal size, well‐being, and placental function. Carefully defined reproducible imaging parameters, such as the head circumference (HC), abdominal circumference (AC), and femur length (FL), are combined to calculate an estimate of the fetal weight. Doppler analysis of maternal uterine blood flow predicts placental insufficiency, which is associated with poor fetal growth. Fetal doppler analysis can indicate circulatory decompensation and fetal hypoxia, requiring delivery to be expedited. Novel ways to assess fetal well‐being and placental function using MRI, computerized cardiotocography (CTG), serum circulating fetoplacental proteins, and mRNA may improve the assessment of the safety and efficacy of maternal and fetal interventions. Progress has been made in how to define and grade clinical trial safety in pregnant women, the fetus, and neonate. A new system for improved safety monitoring for clinical trials in pregnancy, Maternal and Fetal Adverse Event Terminology (MFAET), describes 12 maternal and 18 fetal adverse event (AE) definitions and severity grading criteria developed through an international modified Delphi consensus process. This fills a vital gap in maternal and fetal translational medicine research.

Clinical Strategies Targeting the Tumor Microenvironment of Pancreatic Ductal Adenocarcinoma.

Simple SummaryTumors from pancreatic cancer contain many types of cells (such as immune cells and fibroblasts) in addition to the cancer cells. Using targeted drugs to disrupt interactions between these cells which can support cancer cell growth, invasion, and immune suppression has become an important area of exploration in the pancreatic cancer field. This review describes new drugs designed to modulate interactions between cancer cells and other cell types in the tumor and discusses the initial clinical trials testing these novel therapeutics in pancreatic cancer patients.Pancreatic cancer has a complex tumor microenvironment which engages in extensive crosstalk between cancer cells, cancer-associated fibroblasts, and immune cells. Many of these interactions contribute to tumor resistance to anti-cancer therapies. Here, new therapeutic strategies designed to modulate the cancer-associated fibroblast and immune compartments of pancreatic ductal adenocarcinomas are described and clinical trials of novel therapeutics are discussed. Continued advances in our understanding of the pancreatic cancer tumor microenvironment are generating stromal and immune-modulating therapeutics that may improve patient responses to anti-tumor treatment.

Lipoprotein Lipase: Is It a Magic Target for the Treatment of Hypertriglyceridemia.

High levels of triglycerides (TG) and triglyceride-rich lipoproteins (TGRLs) confer a residual risk of cardiovascular disease after optimal low-density lipoprotein cholesterol (LDL-C)–lowering therapy. Consensus has been made that LDL-C is a non-arguable primary target for lipid lowering treatment, but the optimization of TGRL for reducing the remnant risk of cardiovascular diseases is urged. Omega-3 fatty acids and fibrates are used to reduce TG levels, but many patients still have high TG and TGRL levels combined with low high-density lipoprotein concentration that need to be ideally treated. Lipoprotein lipase (LPL) is a key regulator for TGs that hydrolyzes TGs to glycerol and free fatty acids in lipoprotein particles for lipid storage and consumption in peripheral organs. A deeper understanding of human genetics has enabled the identification of proteins regulating the LPL activity, which include the apolipoproteins and angiopoietin-like families. Novel therapeutic approach such as antisense oligonucleotides and monoclonal antibodies that regulate TGs have been developed in recent decades. In this article, we focus on the biology of LPL and its modulators and review recent clinical application, including genetic studies and clinical trials of novel therapeutics. Optimization of LPL activity to lower TG levels could eventually reduce incident atherosclerotic cardiovascular disease in conjunction with successful LDL-C reduction.

Non-alcoholic fatty liver disease and type 2 diabetes: An update.

The global prevalence of non‐alcoholic fatty liver disease (NAFLD) is rising, along with the epidemic of diabesity. NAFLD is present in >70% of individuals with type 2 diabetes. Although the mutually detrimental relationship between NAFLD and type 2 diabetes has been well established, a multitude of recent studies have further shown that type 2 diabetes is closely linked to the development of cirrhosis, hepatocellular carcinoma, liver‐related morbidity and mortality. In contrast, NAFLD also negatively impacts type 2 diabetes both in terms of its incidence and related adverse clinical outcomes, including cardiovascular and chronic kidney diseases. In response to these global health threats, clinical care pathways for NAFLD and guidelines for metabolic dysfunction‐associated fatty liver disease have been developed. Several antidiabetic agents have been evaluated for their potential hepatic benefits with promising results. Furthermore, type 2 diabetes patients are increasingly represented in clinical trials of novel therapeutics for NAFLD. However, despite the wealth of knowledge in NAFLD and type 2 diabetes, lack of awareness of the disease and the potential weight of this problem remains a major challenge, especially among clinicians who are outside the field of hepatology and gastroenterology. This review therefore aimed to provide all diabetes care providers with a summary of the latest evidence that supports NAFLD as an emerging diabetic complication of increasing importance, and to present the current recommendations, focusing on the assessment and therapeutic strategies, on the management of NAFLD among type 2 diabetes patients.

Scaffold Searching of FDA and EMA-Approved Drugs Identifies Lead Candidates for Drug Repurposing in Alzheimer's Disease.

Clinical trials of novel therapeutics for Alzheimer’s Disease (AD) have consumed a significant amount of time and resources with largely negative results. Repurposing drugs already approved by the Food and Drug Administration (FDA), European Medicines Agency (EMA), or Worldwide for another indication is a more rapid and less expensive option. Therefore, we apply the scaffold searching approach based on known amyloid-beta (Aβ) inhibitor tramiprosate to screen the DrugCentral database (n = 4,642) of clinically tested drugs. As a result, menadione bisulfite and camphotamide substances with protrombogenic and neurostimulation/cardioprotection effects were identified as promising Aβ inhibitors with an improved binding affinity (ΔGbind) and blood-brain barrier permeation (logBB). Finally, the data was also confirmed by molecular dynamics simulations using implicit solvation, in particular as Molecular Mechanics Generalized Born Surface Area (MM-GBSA) model. Overall, the proposed in silico pipeline can be implemented through the early stage rational drug design to nominate some lead candidates for AD, which will be further validated in vitro and in vivo, and, finally, in a clinical trial.

Machine learning identifies candidates for drug repurposing in Alzheimer\u2019s disease

Clinical trials of novel therapeutics for Alzheimer’s Disease (AD) have consumed a large amount of time and resources with largely negative results. Repurposing drugs already approved by the Food and Drug Administration (FDA) for another indication is a more rapid and less expensive option. We present DRIAD (Drug Repurposing In AD), a machine learning framework that quantifies potential associations between the pathology of AD severity (the Braak stage) and molecular mechanisms as encoded in lists of gene names. DRIAD is applied to lists of genes arising from perturbations in differentiated human neural cell cultures by 80 FDA-approved and clinically tested drugs, producing a ranked list of possible repurposing candidates. Top-scoring drugs are inspected for common trends among their targets. We propose that the DRIAD method can be used to nominate drugs that, after additional validation and identification of relevant pharmacodynamic biomarker(s), could be readily evaluated in a clinical trial.

Lassa fever clinical course and setting a standard of care for future randomized trials: A protocol for a cohort study of Lassa-infected patients in Nigeria (LASCOPE)

BackgroundLassa Fever (LF), is a severe viral disease prevalent in Western Africa. It is classified as a priority disease by the World Health Organization (WHO). Ribavirin is the recommended therapy despite weak evidence of its efficacy. Promising therapeutic agents are becoming available for evaluation in human. Before launching therapeutic trials, we need data on the evolution of the disease under the best possible conditions of care. MethodsWe have initiated a prospective study in Nigeria to better understand the clinical course and prognostic factors of LF while implementing high quality standardized care. Inclusion criteria are: suspected or confirmed LF and informed consent. Participants are followed 60 days from admission and receive free of charge standardized supportive care and biological monitoring, as well as intravenous ribavirin for those with confirmed LF. Data are collected using standardized case report forms (CRF). Primary and secondary outcomes are fatality and severe morbidity, with special focus on acute kidney dysfunction and pregnancy complications. Factors associated with outcomes will be investigated. ResultsThe cohort is planned for 3 years. Inclusions started in April 2018 at the Federal Medical Center Owo in Ondo State. A second site will open in Nigeria in 2020 and discussions are underway to open a site in Benin. 150 to 200 new participants are expected per year. ConclusionsThis cohort will: provide evidence to standardize LF case management; provide key inputs to design future clinical trials of novel therapeutics; and establish clinical research teams capable of conducting such trials in LF-endemic areas. Study registrationThe LASCOPE study was registered on ClinicalTrial.gov (NCT03655561).

Test-retest reliability of FreeSurfer automated hippocampal subfield segmentation within and across scanners

The human hippocampus is vulnerable to a range of degenerative conditions and as such, accurate in vivo measurement of the hippocampus and hippocampal substructures via neuroimaging is of great interest for understanding mechanisms of disease as well as for use as a biomarker in clinical trials of novel therapeutics. Although total hippocampal volume can be measured relatively reliably, it is critical to understand how this reliability is affected by acquisition on different scanners, as multiple scanning platforms would likely be utilized in large-scale clinical trials. This is particularly true for hippocampal subregional measurements, which have only relatively recently been measurable through common image processing platforms such as FreeSurfer. Accurate segmentation of these subregions is challenging due to their small size, magnetic resonance imaging (MRI) signal loss in medial temporal regions of the brain, and lack of contrast for delineation from standard neuroimaging procedures.Here, we assess the test-retest reliability of the FreeSurfer automated hippocampal subfield segmentation procedure using two Siemens model scanners (a Siemens Trio and Prismafit Trio upgrade). T1-weighted images were acquired for 11 generally healthy younger participants (two scans on the Trio and one scan on the Prismafit). Each scan was processed through the standard cross-sectional stream and the recently released longitudinal pipeline in FreeSurfer v6.0 for hippocampal segmentation. Test-retest reliability of the volumetric measures was examined for individual subfields as well as percent volume difference and Dice overlap among scans and intra-class correlation coefficients (ICC). Reliability was high in the molecular layer, dentate gyrus, and whole hippocampus with the inclusion of three time points with mean volume differences among scans less than 3%, overlap greater than 80%, and ICC >0.95. The parasubiculum and hippocampal fissure showed the least improvement in reliability with mean volume difference greater than 5%, overlap less than 70%, and ICC scores ranging from 0.78 to 0.89. Other subregions, including the CA regions, were stable in their mean volume difference and overlap (<5% difference and >75% respectively) and showed improvement in reliability with the inclusion of three scans (ICC ​> ​0.9). Reliability was generally higher within scanner (Trio-Trio), however, Trio-Prismafit reliability was also high and did not exhibit an obvious bias. These results suggest that the FreeSurfer automated segmentation procedure is a reliable method to measure total as well as hippocampal subregional volumes and may be useful in clinical applications including as an endpoint for future clinical trials of conditions affecting the hippocampus.

Vitamin D: is it important in haematopoietic stem cell transplantation? A review.

Vitamin D has effects on several body systems, from well-established role in bone metabolism to emerging effects on the immune system. Increasing evidence supports an immunomodulatory effect including inhibition of the pro-inflammatory lymphocyte subsets while enhancing their anti-inflammatory counterpart, in favour of a more tolerogenic status. Vitamin D deficiency is increasingly recognised in association with autoimmune and inflammatory diseases, also with evidence from the field of asthma where vitamin D supplementation may overcome steroid resistance. In the HSCT setting, vitamin D deficiency has been variably associated with increased complications, including graft-versus-host disease (GvHD), with a potential impact on survival outcomes. In this review we provide an overview and critical appraisal of the current literature of the role of vitamin D (and its deficiency) in relation to immunity in both allogeneic and autologous HSCT settings. We conclude that the evidence base is mixed, but a greater understanding of the role of vitamin D in relation to immune reconstitution following HSCT is warranted. Given its potential benefits, its inexpensive cost and favourable side effect profile, consideration of vitamin D levels and its supplementation could be easily incorporated into prospective studies in GvHD, including clinical trials of novel therapeutics, supportive care and biomarkers.

Neuropathological Assessment as an Endpoint in Clinical Trial Design.

Different neurodegenerative conditions can have complex, overlapping clinical presentations that make accurate diagnosis during life very challenging. For this reason, confirmation of the clinical diagnosis still requires postmortem verification. This is particularly relevant for clinical trials of novel therapeutics where it is important to ascertain what disease and/or pathology modifying effects the therapeutics have had. Furthermore, it is important to confirm that patients in the trial actually had the correct clinical diagnosis as this will have a major bearing on the interpretation of trial results. Here we present a simple protocol for pathological assessment of neurodegenerative changes.

A comprehensive review of heregulins, HER3, and HER4 as potential therapeutic targets in cancer.

Heregulins (HRGs) bind to the receptors HER3 or HER4, induce receptor dimerization, and trigger downstream signaling that leads to tumor progression and resistance to targeted therapies. Increased expression of HRGs has been associated with worse clinical prognosis; therefore, attempts to block HRG-dependent tumor growth have been pursued. This manuscript summarizes the function and signaling of HRGs and review the preclinical evidence of its involvement in carcinogenesis, prognosis, and treatment resistance in several malignancies such as colorectal cancer, non-small cell lung cancer, ovarian cancer, and breast cancer. Agents in preclinical development and clinical trials of novel therapeutics targeting HRG-dependent signaling are also discussed, including anti-HER3 and -HER4 antibodies, anti-metalloproteinase agents, and HRG fusion proteins. Although several trials have indicated an acceptable safety profile, translating preclinical findings into clinical practice remains a challenge in this field, possibly due to the complexity of downstream signaling and patterns of HRG, HER3 and HER4 expression in different cancer subtypes. Improving patient selection through biomarkers and understanding the resistance mechanisms may translate into significant clinical benefits in the near future.

Accelerating clinical trial enrollment with comprehensive genomic profiling (CGP) and just-in-time clinical trial sites: An index case of a paradigm shift.

6539 Background: In many instances, trials may offer the best or only therapeutic option for patients with rare findings. However, conducting clinical trials of novel therapeutics targeting rare molecular variants is challenging. Patient populations are small, distributed, and predominantly in community settings where trial access remains limited by awareness and site availability. These challenges increase costs of drug development and approval, delaying widespread patient access. Methods: Foundation Medicine deployed a trial education and access program, “Precision Enrollment,” with Ignyta (a trial sponsor) and Pharmatech (a site management organization, or SMO, enabling “Just-In-Time” clinical trials) (Wiener, JCO 2007). Infrastructure and algorithms developed at Foundation Medicine (“SmartTrials Engine”) matched sequenced patients (avg n = 800/wk) with activating NTRK, ROS1, or ALK fusions to the phase II study of Entrectinib (NCT02568267). Oncologists at Foundation Medicine, through peer-to-peer outreach, facilitated trial access by providing trial and nearest site information to treating providers of matched patients. Results: 107 treatment-eligible patients with NTRK, ROS1, or ALK fusions were matched by the SmartTrials Engine; 36 (33%) expressed interest in trial participation. One such patient with NSCLC and a CD74-ROS1 fusion was unable to participate at an open trial site due to inability to travel. The patient’s site was part of the “Just-In-Time” network, with IRB and contract pre-approval, and was activated in only 3 days. Total time from patient identification to initiation of therapy was 7 days. Conclusions: We demonstrate a novel methodology for patient matching to trials targeting rare genomic findings, including in community settings. If extended, such innovative partnerships combined with computational matching infrastructure, could improve drug development and therapeutic access.

Systemic lupus erythematosus: Withdrawing standard of care therapies in SLE trials?

Clinical trials of novel therapeutics in systemic lupus erythematosus (SLE) have so far been disappointing. A high placebo response rate in these trials owing to continued use of background immunosuppressive therapy could be confounding results. Could patient stratification and minimization of entry medications improve the effect size and interpretability of SLE trials?

Abstract 3157: Serial droplet digital PCR (ddPCR) of plasma cell-free DNA (cfDNA) as pharmacodynamic (PD) biomarker in Phase 1 clinical trials for patients (pts) with KRAS mutant non-small cell lung cancer (NSCLC)

Abstract Introduction: Phase 1 clinical trials of novel therapeutics have historically focused on toxicity, but increasingly are doubling as efficacy studies in biomarker-enriched populations. Given the small sample sizes (∼3-6 patients per dose), response on imaging may be a coarse marker of therapeutic effect. Here we piloted serial ddPCR of plasma cfDNA as a PD marker in a phase I combination study of a MEK inhibitor and a CDK 4/6 inhibitor in patients with RAS mutated cancers. Methods / Results: Twenty-five pts with RAS-mutated cancer (incl. 17 patients with KRAS-mutant NSCLC) have been enrolled to date in a phase I dose escalation trial of the MEK inhibitor PD-0325901 with the CDK4/6 inhibitor palbociclib (NCT02022982). Plasma for cfDNA genotyping was collected at baseline prior to therapy and at the beginning of cycle 2. Plasma genotyping for KRAS G12X mutations was performed using a validated and highly quantitative droplet digital PCR assay. Pts were enrolled in 5 dose level cohorts ranging from 75 mg palbociclib daily (3 weeks on, 1 week off) with 2 mg PD-0325901 BID (3 weeks on 1week off) to 125 mg palbociclib daily with 8 mg PD-0325901 BID (Table). KRAS mutations were detected in 14/24 pts at baseline (59%, median 1402 copies/mL plasma, range: 11-93000), consistent with the previously reported sensitivity of 64%. A second blood draw at cycle 2 was obtained for all 14 pts. A positive plasma response, defined as decrease of KRAS G12X mutants from first to second dose, was observed in 6 pts (range -6% - -100%) with the most plasma responders (n = 4 pts) at the maximum administered dose. At lower administered doses, there was a median increase in plasma KRAS mutant levels. Conclusions: Increasing dose levels resulted in more consistent decreases in KRAS mutation in cfDNA, consistent with a dose-dependent pharmacodynamic effect.These results highlight the potential value of serial plasma ddPCR as a PD marker in early phase clinical trials. Dose LevelPalbociclib (QD, 3 wks on 1 wk off) mgPD-0325901 (BID, 3 wks on 1 wk off) mgN Enrolled (N analyzed)Median Plasma change KRAS mut(%)17523 (1)+2427543 (3)+60 (range +31 - +150)310048 (4)+150 (range -6 - +341)412544 (2)+9 (range -45 - +61)512587 (4)-27 (range -7 - -43) Citation Format: Cloud P. Paweletz, Geoffrey R. Oxnard, Nora Feeney, John F. Hilton, Leena Gandhi, Khanh T. Do, Adrienne Anderson, Andrew Wolanski, Alexander Tejeda, Jessie M. English, Paul T. Kirschmeier, Pasi A. Jänne, Geoffrey I. Shapiro. Serial droplet digital PCR (ddPCR) of plasma cell-free DNA (cfDNA) as pharmacodynamic (PD) biomarker in Phase 1 clinical trials for patients (pts) with KRAS mutant non-small cell lung cancer (NSCLC). [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3157.