e-MutPath: computational modeling reveals the functional landscape of genetic mutations rewiring interactome networks.

Understanding the functional impact of cancer somatic mutations represents a critical knowledge gap for implementing precision oncology. It has been increasingly appreciated that the interaction profile mediated by a genomic mutation provides a fundamental link between genotype and phenotype. However, specific effects on biological signaling networks for the majority of mutations are largely unknown by experimental approaches. To resolve this challenge, we developed e-MutPath (edgetic Mutation-mediated Pathway perturbations), a network-based computational method to identify candidate 'edgetic' mutations that perturb functional pathways. e-MutPath identifies informative paths that could be used to distinguish disease risk factors from neutral elements and to stratify disease subtypes with clinical relevance. The predicted targets are enriched in cancer vulnerability genes, known drug targets but depleted for proteins associated with side effects, demonstrating the power of network-based strategies to investigate the functional impact and perturbation profiles of genomic mutations. Together, e-MutPath represents a robust computational tool to systematically assign functions to genetic mutations, especially in the context of their specific pathway perturbation effect.

An exploration of financial toxicity among low-income patients with cancer in Central Texas: A mixed methods analysis.

OBJECTIVE: Financial toxicity is of increasing concern in the United States. The Comprehensive Score for Financial Toxicity (COST) is a validated measure; however, it has not been widely utilized among low-income patients and may not fully capture financial toxicity in this population. Furthermore, the relationships between financial toxicity, quality of life (QOL), and patient well-being are poorly understood. We describe the experience of financial toxicity among low-income adults receiving cancer care. We hypothesized that higher financial toxicity would be associated with less income and lower quality of life. Qualitative interviews focused on the financial impact of cancer treatment. METHOD: This study was conducted at a cancer clinic in Central Texas. Quantitative and qualitative data were collected in Fall and Spring 2018, respectively. The quantitative sample (N = 115) was dichotomized by annual income (<$15,000 vs. >$15,000). Outcomes included financial toxicity (COST), quality of life (FACT-G), and patient well-being (PROMIS measures: Anxiety, Depression, Fatigue, Pain Interference, and Physical Function). Associations between quality of life, patient well-being, and financial toxicity were evaluated using linear regression. Sequential qualitative interviews were conducted with a subsample of 12 participants. RESULTS: Patients with <$15k had significantly lower levels of QOL and patient well-being such as depression and anxiety compared to patients with >$15k across multiple measures. A multivariate linear regression found QOL (Β = 0.17, 95% CI = 0.05, 0.29, p = 0.008) and insurance status (Β = -3.79, 95% CI = -7.42, -0.16, p = 0.04), but not income, were significantly associated with financial toxicity. Three qualitative themes regarding patient's access to cancer care were identified: obtaining healthcare coverage, maintaining financial stability, and receiving social support. SIGNIFICANCE OF RESULTS: Low-income patients with cancer face unique access barriers and are at risk for forgoing treatment or increased symptom burdens. Comprehensive assessment and financial navigation may improve access to care, symptom management, and reduce strain on social support systems.

Current methods in translational cancer research.

Recent developments in pre-clinical screening tools, that more reliably predict the clinical effects and adverse events of candidate therapeutic agents, has ushered in a new era of drug development and screening. However, given the rapid pace with which these models have emerged, the individual merits of these translational research tools warrant careful evaluation in order to furnish clinical researchers with appropriate information to conduct pre-clinical screening in an accelerated and rational manner. This review assesses the predictive utility of both well-established and emerging pre-clinical methods in terms of their suitability as a screening platform for treatment response, ability to represent pharmacodynamic and pharmacokinetic drug properties, and lastly debates the translational limitations and benefits of these models. To this end, we will describe the current literature on cell culture, organoids, in vivo mouse models, and in silico computational approaches. Particular focus will be devoted to discussing gaps and unmet needs in the literature as well as current advancements and innovations achieved in the field, such as co-clinical trials and future avenues for refinement.

Patient reported outcomes affecting quality of life in socioeconomically disadvantaged cancer patients.

PURPOSE: The aim of this study was to identify correlates of quality of life (QOL) for socioeconomically disadvantaged cancer patients receiving care in the "safety net" health system. DESIGN: This cross-sectional study used linear regressions to determine the effect of patient reported outcome measures (PRO) on QOL.Sample/Methods: Cancer patients (n = 115) receiving drug therapy completed a series of PROs including: Functional Assessment of Cancer Therapy (FACT-G), PROMIS (Anxiety, Depression, Fatigue, Pain Interference, and Physical Function), and the Comprehensive Score for Financial Toxicity. FINDINGS: More than 60% of patients reported an annual income below $24,999. Forty-five percent of patients were either uninsured or county-funded. Depression, pain, and financial toxicity were found to be consistently significant correlates of QOL.Implications: Cancer patients with existing financial strain have unique psychosocial stressors. This study provides insight into the relationship between these stressors, and the need for targeted screening and intervention that address such aspects of care.

Survival and clinical outcomes of patients with ovarian cancer who were treated on phase 1 clinical trials.

BACKGROUND: Patients with ovarian cancer who are enrolled on phase 1 trials typically have platinum-resistant and heavily pretreated disease, with a poor prognosis. In the current study, the authors assessed prognostic factors and survival in women with recurrent ovarian cancer who were treated on phase 1 clinical trials. METHODS: The authors performed a retrospective analysis of patients treated from 2008 through 2018 at the University of Colorado Cancer Center. Patient characteristics and treatment and toxicity-related survival data were assessed. Descriptive statistics and Cox proportional hazards models were used to identify risk factors associated with survival time. RESULTS: A total of 132 patients were treated on phase 1 clinical trials. Patients had a median age of 59 years (range, 33-88 years) with a median of 5.5 previous chemotherapy lines (range, 1-13 lines). Of the 132 patients, 53 (40%) were treated on multiple phase 1 trials with a median of 1 (range, 0-5) prior phase 1 trial. The overall response rate was 14.7%. The median overall survival was 11.3 months (95% CI, 9.1-13.4 months). Two patients died on trial due to progression of disease whereas no patients died of treatment-related toxicity. Independent risk factors found to be predictive of shorter survival were an elevated cancer antigen 125 (CA 125) level (hazard ratio [HR], 2.8; 95% CI, 1.6-5.2) and albumin <3.5 g/dL (HR, 2.5; 95% CI, 1.65-3.79). A body mass index >25 kg/m2 was predictive of longer survival (HR, 0.65; 95% CI, 0.44-0.96). CONCLUSIONS: In the current single-institution series, patients with heavily pretreated ovarian cancer who were treated on phase 1 clinical trials experienced a median overall survival of 11.3 months. When available, phase 1 clinical trials represent a reasonable treatment option for patients with heavily pretreated ovarian cancer with a preserved performance status.

Challenges and Opportunities to Updating Prescribing Information for Longstanding Oncology Drugs.

A number of important drugs used to treat cancer-many of which serve as the backbone of modern chemotherapy regimens-have outdated prescribing information in their drug labeling. The Food and Drug Administration is undertaking a pilot project to develop a process and criteria for updating prescribing information for longstanding oncology drugs, based on the breadth of knowledge the cancer community has accumulated with the use of these drugs over time. This article highlights a number of considerations for labeling updates, including selecting priorities for updating; data sources and evidentiary criteria; as well as the risks, challenges, and opportunities for iterative review to ensure prescribing information for oncology drugs remains relevant to current clinical practice.

RX-5902, a novel ß-catenin modulator, potentiates the efficacy of immune checkpoint inhibitors in preclinical models of triple-negative breast Cancer.

BACKGROUND: Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype with limited systemic treatment options. RX-5902 is a novel anti-cancer agent that inhibits phosphorylated-p68 and thus attenuates nuclear ß-catenin signaling. The purpose of this study was to evaluate the ability of ß-catenin signaling blockade to enhance the efficacy of anti-CTLA-4 and anti-PD-1 immune checkpoint blockade in immunocompetent, preclinical models of TNBC. METHODS: Treatment with RX-5902, anti-PD-1, anti-CTLA-4 or the combination was investigated in BALB/c mice injected with the 4 T1 TNBC cell line. Humanized BALB/c-Rag2nullIl2rγnullSIRPαNOD (hu-CB-BRGS) mice transplanted with a human immune system were implanted with MDA-MB-231 cells. Mice were randomized into treatment groups according to human hematopoietic chimerism and treated with RX-5902, anti-PD-1 or the combination. At sacrifice, bone marrow, lymph nodes, spleen and tumors were harvested for flow cytometry analysis of human immune cells. RESULTS: The addition of RX-5902 to CTLA-4 or PD-1 inhibitors resulted in decreased tumor growth in the 4 T1 and human immune system and MDA-MB-231 xenograft models. Immunologic analyses demonstrated a significant increase in the number of activated T cells in tumor infiltrating lymphocytes (TILs) with RX-5902 treatment compared to vehicle (p < 0.05). In the RX-5902/nivolumab combination group, there was a significant increase in the percentage of CD4+ T cells in TILs and increased systemic granzyme B production (p < 0.01). CONCLUSIONS: Conclusions: RX-5902 enhanced the efficacy of nivolumab in a humanized, preclinical model of TNBC. Several changes in immunologic profiles were noted in mice treated with RX-5902 and the combination, including an increase in activated TILs and a decrease in human myeloid populations, that are often associated with immunosuppression in a tumor microenvironment. RX-5902 also was shown to potentiate the effects of checkpoint inhibitors of CTLA4 and the PD-1 inhibitor in the 4 T-1 murine TNBC model. These findings indicate that RX-5902 may have important immunomodulatory, as well as anti-tumor activity, in TNBC when combined with a checkpoint inhibitor.

Sorafenib targets the mitochondrial electron transport chain complexes and ATP synthase to activate the PINK1-Parkin pathway and modulate cellular drug response.

Sorafenib (Nexavar) is a broad-spectrum multikinase inhibitor that proves effective in treating advanced renal-cell carcinoma and liver cancer. Despite its well-characterized mechanism of action on several established cancer-related protein kinases, sorafenib causes variable responses among human tumors, although the cause for this variation is unknown. In an unbiased screening of an oncology drug library, we found that sorafenib activates recruitment of the ubiquitin E3 ligase Parkin to damaged mitochondria. We show that sorafenib inhibits the activity of both complex II/III of the electron transport chain and ATP synthase. Dual inhibition of these complexes, but not inhibition of each individual complex, stabilizes the serine-threonine protein kinase PINK1 on the mitochondrial outer membrane and activates Parkin. Unlike the protonophore carbonyl cyanide m-chlorophenylhydrazone, which activates the mitophagy response, sorafenib treatment triggers PINK1/Parkin-dependent cellular apoptosis, which is attenuated upon Bcl-2 overexpression. In summary, our results reveal a new mechanism of action for sorafenib as a mitocan and suggest that high Parkin activity levels could make tumor cells more sensitive to sorafenib's actions, providing one possible explanation why Parkin may be a tumor suppressor gene. These insights could be useful in developing new rationally designed combination therapies with sorafenib.

A phase II clinical trial of the Aurora and angiogenic kinase inhibitor ENMD-2076 for previously treated, advanced, or metastatic triple-negative breast cancer.

BACKGROUND: Triple-negative breast cancer (TNBC) remains an aggressive breast cancer subtype with limited treatment options. ENMD-2076 is a small-molecule inhibitor of Aurora and angiogenic kinases with proapoptotic and antiproliferative activity in preclinical models of TNBC. METHODS: This dual-institution, single-arm, two-stage, phase II clinical trial enrolled patients with locally advanced or metastatic TNBC previously treated with one to three prior lines of chemotherapy in the advanced setting. Patients were treated with ENMD-2076 250 mg orally once daily with continuous dosing in 4-week cycles until disease progression or unacceptable toxicity occurred. The primary endpoint was 6-month clinical benefit rate (CBR), and secondary endpoints included progression-free survival, pharmacokinetic profile, safety, and biologic correlates in archival and fresh serial tumor biopsies in a subset of patients. RESULTS: Forty-one patients were enrolled. The 6-month CBR was 16.7% (95% CI, 6-32.8%) and included two partial responses. The 4-month CBR was 27.8% (95% CI, 14-45.2%), and the average duration of benefit was 6.5 cycles. Common adverse events included hypertension, fatigue, diarrhea, and nausea. Treatment with ENMD-2076 resulted in a decrease in cellular proliferation and microvessel density and an increase in p53 and p73 expression, consistent with preclinical observations. CONCLUSIONS: Single-agent ENMD-2076 treatment resulted in partial response or clinical benefit lasting more than 6 months in 16.7% of patients with pretreated, advanced, or metastatic TNBC. These results support the development of predictive biomarkers using archival and fresh tumor tissue, as well as consideration of mechanism-based combination strategies. TRIAL REGISTRATION: ClinicalTrials.gov, NCT01639248 . Registered on July 12, 2012.

A Phase I Dose-Escalation Study of Linsitinib (OSI-906), a Small-Molecule Dual Insulin-Like Growth Factor-1 Receptor/Insulin Receptor Kinase Inhibitor, in Combination with Irinotecan in Patients with Advanced Cancer.

LESSONS LEARNED: The maximum tolerated dose of the combination of linsitinib and irinotecan is linsitinib 450 mg daily on days 1-3 every 7 days and irinotecan 125 mg/m2 days 1 and 8 of a 21-day cycle.The adverse effects associated with the combination are not significantly increased beyond what is expected of each drug as a single agent.Multiple negative trials of insulin-like growth factor-1 receptor inhibitors performed in unselected patient populations led to the early discontinuation of linistinib development and this trial.Earlier integration of assessment of potential predictive biomarkers into clinical trials, as was planned in this study, is vital to the development of targeted therapies in oncology. BACKGROUND: This phase I dose-escalation study was designed to evaluate the safety and tolerability of the combination of irinotecan and insulin-like growth factor-1 receptor (IGF-1R) inhibitor linsitinib in patients with advanced cancer refractory to standard therapy. METHODS: Dose escalation in three specified dose levels was performed according to a standard 3 + 3 design. Dose levels were as follows: (a) linsitinib 400 mg and irinotecan 100 mg/m2, (b) linsitinib 450 mg and irinotecan 100 mg/m2, and (c) linsitinib 450 mg and irinotecan 125 mg/m2. Linisitinib was administered once daily on days 1-3, 8-10, and 15-17, and irinotecan on days 1 and 8. Assessment of a candidate predictive biomarker was planned in all patients, with further evaluation in an expansion cohort of advanced colorectal cancer. RESULTS: A total of 17 patients were treated, with 1 patient in both cohort 2 and 3 experiencing dose-limiting toxicity. Linsitinib 450 mg and irinotecan 125 mg/m2 was the maximum tolerated dose. Sixteen (94%) patients experienced at least one treatment-related adverse event. Neutropenia was the only grade >3 toxicity (4%). No significant hyperglycemia or QT interval prolongation was noted. No objective responses were observed; 47% (n = 8) had stable disease with median duration of 5.25 months. CONCLUSION: Although the combination was determined safe, the study was halted due to termination of linsitinib development, and biomarker testing was not performed.

Antitumor activity of the polo-like kinase inhibitor, TAK-960, against preclinical models of colorectal cancer.

BACKGROUND: Polo-like kinase 1 (Plk1) is a serine/threonine kinase that is a key regulator of multiple stages of mitotic progression. Plk1 is upregulated in many tumor types including colorectal cancer (CRC) and portends a poor prognosis. TAK-960 is an ATP-competitive Plk1 inhibitor that has demonstrated efficacy across a broad range of cancer cell lines, including CRC. In this study, we investigated the activity of TAK-960 against a large collection of CRC models including 55 cell lines and 18 patient-derived xenografts. METHODS: Fifty-five CRC cell lines and 18 PDX models were exposed to TAK-960 and evaluated for proliferation (IC50) and Tumor Growth Inhibition Index, respectively. Additionally, 2 KRAS wild type and 2 KRAS mutant PDX models were treated with TAK-960 as single agent or in combination with cetuximab or irinotecan. TAK-960 mechanism of action was elucidated through immunoblotting and cell cycle analysis. RESULTS: CRC cell lines demonstrated a variable anti-proliferative response to TAK-960 with IC50 values ranging from 0.001 to > 0.75 µmol/L. Anti-proliferative effects were sustained after removal of drug. Following TAK-960 treatment a highly variable accumulation of mitotic (indicating cell cycle arrest) and apoptotic markers was observed. Cell cycle analysis demonstrated that TAK-960 treatment induced G2/M arrest and polyploidy. Six out of the eighteen PDX models responded to single agent TAK-960 therapy (TGII< 20). The addition of TAK-960 to standard of care chemotherapy resulted in largely additive antitumor effects. CONCLUSION: TAK-960 is an active anti-proliferative agent against CRC cell lines and PDX models. Collectively, these data suggest that TAK-960 may be of therapeutic benefit alone or in combination with other agents, although future work should focus on the development of predictive biomarkers and hypothesis-driven rational combinations.

A Phase Ib Dose-Escalation Study of the Safety, Tolerability, and Pharmacokinetics of Cobimetinib and Duligotuzumab in Patients with Previously Treated Locally Advanced or Metastatic Cancers with Mutant KRAS.

LESSONS LEARNED: Cobimetinib and duligotuzumab were well tolerated as single agents and in combination with other agents.The cobimetinib and duligotuzumab combination was associated with increased toxicity, most notably gastrointestinal, and limited efficacy in the patient population tested. BACKGROUND: KRAS-mutant tumors possess abnormal mitogen-activated protein kinases (MAPK) pathway signaling, leading to dysregulated cell proliferation. Cobimetinib blocks MAPK signaling. The dual-action antibody duligotuzumab (MEHD7945A) inhibits ligand binding to both epidermal growth factor receptor (EGFR) and human epidermal growth factor receptor 3 (HER3). Blockade of EGFR/HER3 and inhibition of mitogen-activated protein kinase (MEK) in KRAS-mutant tumors may provide additive benefit. METHODS: Patients with KRAS-mutant solid tumors were eligible for this phase Ib dose-escalation study with a planned expansion phase. Duligotuzumab was given intravenously (IV) at 1,100 mg every 2 weeks (q2w), while cobimetinib was given orally in a standard 3 + 3 design to identify the recommended phase II dose (RP2D). The primary objective was to evaluate the safety and tolerability of this combination. RESULTS: Twenty-three patients were enrolled. Dose-limiting toxicities (DLTs) included grade 4 hypokalemia and grade 3 mucosal inflammation, asthenia, and dermatitis acneiform. Seventy percent of patients experienced grade 3 or worse adverse events (AEs). Five (22%) and 12 (52%) patients missed at least 1 dose of duligotuzumab and cobimetinib, respectively, and 9 (39%) patients required a cobimetinib dose reduction. Three (13%) patients discontinued due to an AE. Best response was limited to 9 patients with stable disease and 13 patients with progressive disease. CONCLUSION: Given the limited tolerability and efficacy of this combination, the study did not proceed to expansion stage and closed for enrollment.

Targeting the protein ubiquitination machinery in melanoma by the NEDD8-activating enzyme inhibitor pevonedistat (MLN4924).

Background The neddylation pathway conjugates NEDD8 to cullin-RING ligases and controls the proteasomal degradation of specific proteins involved in essential cell processes. Pevonedistat (MLN4924) is a selective small molecule targeting the NEDD8-activating enzyme (NAE) and inhibits an early step in neddylation, resulting in DNA re-replication, cell cycle arrest and death. We investigated the anti-tumor potential of pevonedistat in preclinical models of melanoma. Methods Melanoma cell lines and patient-derived tumor xenografts (PDTX) treated with pevonedistat were assessed for viability/apoptosis and tumor growth, respectively, to identify sensitive/resistant models. Gene expression microarray and gene set enrichment analyses were performed in cell lines to determine the expression profiles and pathways of sensitivity/resistance. Pharmacodynamic changes in treated-PDTX were also characterized. Results Pevonedistat effectively inhibited cell viability (IC50 < 0.3 µM) and induced apoptosis in a subset of melanoma cell lines. Sensitive and resistant cell lines exhibited distinct gene expression profiles; sensitive models were enriched for genes involved in DNA repair, replication and cell cycle regulation, while immune response and cell adhesion pathways were upregulated in resistant models. Pevonedistat also reduced tumor growth in melanoma cell line xenografts and PDTX with variable responses. An accumulation of pevonedistat-NEDD8 adduct and CDT1 was observed in sensitive tumors consistent with its mechanism of action. Conclusions This study provided preclinical evidence that NAE inhibition by pevonedistat has anti-tumor activity in melanoma and supports the clinical benefits observed in recent Phase 1 trials of this drug in melanoma patients. Further investigations are warranted to develop rational combinations and determine predictive biomarkers of pevonedistat.

Phase I trial of vandetanib in combination with gemcitabine and capecitabine in patients with advanced solid tumors with an expanded cohort in pancreatic and biliary cancers.

BACKGROUND: Vandetanib is a multitargeted tyrosine kinase inhibitor that affects vascular endothelial growth factor receptor (VEGF), epidermal growth factor (EGF), and rearranged during transfection (RET) mediated receptors which are important for growth and invasion of biliary and pancreatic cancers. This phase I study evaluated the safety profile of vandetanib in combination with standard doses of gemcitabine and capecitabine in order to determine the maximum tolerated dose (MTD). METHODS: In this single center phase I trial, patients received gemcitabine intravenously (i.v.) at 1000 mg/m2 days 1, 8, 15 in a 28 day cycle, capecitabine orally at 850 mg/m2 twice daily on days 1-21, and escalating doses of vandetanib (200 or 300 mg orally daily). Once the MTD was defined, an expansion cohort of patients with advanced biliary cancers and locally advanced or metastatic pancreatic cancer was enrolled. Blood samples were also collected at predetermined time points for biomarker analysis. RESULTS: Twenty-three patients were enrolled: 9 in the dose escalation and 14 in the dose expansion cohort. One dose limiting toxicity (DLT), of grade 4 neutropenia, occurred in the 200 mg vandetanib cohort. The most common adverse effects were diarrhea (39 %), nausea and vomiting (34%), and rash (33%). There were 3 partial responses and stable disease of >2 months (range 2-45, median 5) was observed in 15/23 patients. There was no association between changes in biomarker analytes and disease response. CONCLUSION: The combination of gemcitabine, capecitabine and vandetanib is well tolerated at the recommended phase II dose of gemcitabine 1000 mg/m2 weekly for three consecutive weeks, capecitabine 850 mg/m2 BID days 1-21, and vandetanib 300 mg daily, every 28 days. This combination demonstrated promising activity in pancreaticobiliary cancers and further evaluation is warranted in these diseases. NCT00551096.

An integrated bioinformatics analysis to dissect kinase dependency in triple negative breast cancer.

BACKGROUND: Triple-Negative Breast Cancer (TNBC) is an aggressive disease with a poor prognosis. Clinically, TNBC patients have limited treatment options besides chemotherapy. The goal of this study was to determine the kinase dependency in TNBC cell lines and to predict compounds that could inhibit these kinases using integrative bioinformatics analysis. RESULTS: We integrated publicly available gene expression data, high-throughput pharmacological profiling data, and quantitative in vitro kinase binding data to determine the kinase dependency in 12 TNBC cell lines. We employed Kinase Addiction Ranker (KAR), a novel bioinformatics approach, which integrated these data sources to dissect kinase dependency in TNBC cell lines. We then used the kinase dependency predicted by KAR for each TNBC cell line to query K-Map for compounds targeting these kinases. We validated our predictions using published and new experimental data. CONCLUSIONS: In summary, we implemented an integrative bioinformatics analysis that determines kinase dependency in TNBC. Our analysis revealed candidate kinases as potential targets in TNBC for further pharmacological and biological studies.

ATM and MET kinases are synthetic lethal with nongenotoxic activation of p53.

The p53 tumor suppressor orchestrates alternative stress responses including cell cycle arrest and apoptosis, but the mechanisms defining cell fate upon p53 activation are poorly understood. Several small-molecule activators of p53 have been developed, including Nutlin-3, but their therapeutic potential is limited by the fact that they induce reversible cell cycle arrest in most cancer cell types. We report here the results of a genome-wide short hairpin RNA screen for genes that are lethal in combination with p53 activation by Nutlin-3, which showed that the ATM and MET kinases govern cell fate choice upon p53 activation. Genetic or pharmacological interference with ATM or MET activity converts the cellular response from cell cycle arrest into apoptosis in diverse cancer cell types without affecting expression of key p53 target genes. ATM and MET inhibitors also enable Nutlin-3 to kill tumor spheroids. These results identify new pathways controlling the cellular response to p53 activation and aid in the design of p53-based therapies.

Distress among caregivers of phase I trial participants: a cross-sectional study.

PURPOSE: The number of patients with cancer enrolling in phase I trials is expected to increase as these trials incorporate patient selection and exhibit greater efficacy in the era of targeted therapies. Despite the fact that people with advanced cancer often require a caregiver, little is known about the experience of caregivers of people enrolling in oncology phase I clinical trials. We conducted a cross-sectional study assessing the distress and emotion regulation of caregivers of phase I trial participants to inform the design of future interventions targeting the unique needs of this population. METHODS: Caregivers of oncology patients were approached at the patient's phase I clinical trial screening visit. Caregiver participants completed a one-time survey incorporating validated instruments to comprehensively assess distress and emotion regulation. Basic demographic information about both the caregiver and patient was collected. RESULTS: Caregivers exhibited greater distress than population norms. Emotion regulation was also moderately impaired. Respondents identified positive aspects of caregiving despite exhibiting moderate distress. CONCLUSION: Enrollment of a patient in a phase I clinical trial is a time of stress for their caregivers. This pilot study demonstrates the feasibility of engaging caregivers of phase I trial participants and the need to better support them through this component of their caregiving experience.

Neighbourhood species richness and drought-tolerance traits modulate tree growth and δ13 C responses to drought.

Mixed-species forests are promoted as a forest management strategy for climate change adaptation, but whether they are more resistant to drought than monospecific forests remains contested. In particular, the trait-based mechanisms driving the role of tree diversity under drought remain elusive. Using tree cores from a large-scale biodiversity experiment, we investigated tree growth and physiological stress responses (i.e. increase in wood carbon isotopic ratio; δ13 C) to changes in climate-induced water availability (wet to dry years) along gradients in neighbourhood tree species richness and drought-tolerance traits. We hypothesized that neighbourhood species richness increases growth and decreases δ13 C and that these relationships are modulated by the abiotic (i.e. climatic conditions) and the biotic context. We characterised the biotic context using drought-tolerance traits of focal trees and their neighbours. These traits are related to cavitation resistance versus resource acquisition and stomatal control. Tree growth increased with neighbourhood species richness. However, we did not observe a universal relief of water stress in species-rich neighbourhoods. The effects of neighbourhood species richness and climate on growth and δ13 C were modulated by the traits of focal trees and the traits of their neighbours. At either end of each drought-tolerance gradient, species responded in opposing directions during dry and wet years. We show that species' drought-tolerance traits can explain the strength and nature of biodiversity-ecosystem functioning relationships in experimental tree communities experiencing drought. Mixing tree species can increase growth but may not universally relieve drought stress.

Population-level comparisons of gene regulatory networks modeled on high-throughput single-cell transcriptomics data.

Single-cell technologies enable high-resolution studies of phenotype-defining molecular mechanisms. However, data sparsity and cellular heterogeneity make modeling biological variability across single-cell samples difficult. Here we present SCORPION, a tool that uses a message-passing algorithm to reconstruct comparable gene regulatory networks from single-cell/nuclei RNA-sequencing data that are suitable for population-level comparisons by leveraging the same baseline priors. Using synthetic data, we found that SCORPION outperformed 12 existing gene regulatory network reconstruction techniques. Using supervised experiments, we show that SCORPION can accurately identify differences in regulatory networks between wild-type and transcription factor-perturbed cells. We demonstrate SCORPION's scalability to population-level analyses using a single-cell RNA-sequencing atlas containing 200,436 cells from colorectal cancer and adjacent healthy tissues. The differences between tumor regions detected by SCORPION are consistent across multiple cohorts as well as with our understanding of disease progression, and elucidate phenotypic regulators that may impact patient survival.

A Phase II Study of Potentiation of Pembrolizumab with Binimetinib and Bevacizumab in Refractory Microsatellite-Stable Colorectal Cancer.

PURPOSE: In this single-institution phase II investigator-initiated study, we assessed the ability of MAPK and VEGF pathway blockade to overcome resistance to immunotherapy in microsatellite-stable metastatic colorectal cancer (MSS mCRC). PATIENTS AND METHODS: Patients with MSS, BRAF wild-type mCRC who progressed on ≥2 prior lines of therapy received pembrolizumab, binimetinib, and bevacizumab until disease progression or unacceptable toxicity. After a safety run-in, patients were randomized to a 7-day run-in of binimetinib or simultaneous initiation of all study drugs, to explore whether MEK inhibition may increase tumor immunogenicity. The primary endpoint was objective response rate (ORR) in all patients combined (by Response Evaluation Criteria in Solid Tumors v1.1). RESULTS: Fifty patients received study drug treatment; 54% were male with a median age of 55 years (range, 31-79). The primary endpoint, ORR, was 12.0% [95% confidence interval (CI) 4.5%-24.3%], which was not statistically different than the historical control data of 5% (P = 0.038, exceeding prespecified threshold of 0.025). The disease control rate was 70.0% (95% CI, 55.4%-82.1%), the median progression-free survival 5.9 months (95% CI, 4.2-8.7 months), and the median overall survival 9.3 months (95% CI, 6.7-12.2 months). No difference in efficacy was observed between the randomized cohorts. Grade 3 and 4 adverse events were observed in 56% and 8% of patients, respectively; the most common were rash (12%) and increased aspartate aminotransferase (12%). CONCLUSIONS: Pembrolizumab, binimetinib, and bevacizumab failed to meet its primary endpoint of higher ORR compared with historical control data, demonstrated a high disease control rate, and demonstrated acceptable tolerability in refractory MSS mCRC.