scholarly journals Genomic Landscape of Lymphatic Malformations: A Case Series and Response to the PI3Kα Inhibitor Alpelisib in an N-of-One Clinical Trial

2022 ◽  
Author(s):  
Montaser F. Shaheen ◽  
Julie Y. Tse ◽  
Ethan S. Sokol ◽  
Margaret Masterson ◽  
Pranshu Bansal ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Case Series ◽  
Driver Mutations ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Dependent Manner ◽  
Lymphatic Malformations ◽  
Concentration Dependent Manner ◽  
Genomic Landscape ◽  
The University

ABSTRACTBackgroundLymphatic malformations (LMs) often pose treatment challenges due to a large size or a critical location that could lead to disfigurement, and there are no standardized treatment approaches for either refractory or unresectable cases.MethodsWe examined the genomic landscape of a patient cohort of LMs (n=30 cases) that underwent comprehensive genomic profiling (CGP) using a large-panel next generation sequencing (NGS) assay. Immunohistochemical analyses were completed in parallel.ResultsThese LMs had low mutational burden with hotspot PIK3CA mutations and NRAS mutations being most frequent, and mutually exclusive. All LM cases with Kaposi sarcoma-like (kaposiform) histology had NRAS mutations. One index patient presented with subacute abdominal pain and was diagnosed with a large retroperitoneal lymphatic malformation harboring a somatic PIK3CA gain-of-function mutation (H1047R). The patient achieved a rapid and durable complete response to the PI3Kα inhibitor alpelisib within the context of a personalized N-of-1 clinical trial (NCT03941782). In translational correlative studies, canonical PI3Kα pathway activation was confirmed by immunohistochemistry and human LM-derived lymphatic endothelial cells carrying an allele with an activating mutation at the same locus were sensitive in vitro to alpelisib in a concentration-dependent manner.ConclusionsOur findings establish that LM patients with conventional or kaposiform histology have distinct, yet targetable, driver mutations.FundingR.P. and W.A. are supported by awards from the Levy-Longenbaugh Fund. S.G. is supported by awards from the Hugs for Brady Foundation. This work has been funded in part by the NCI Cancer Center Support Grants (CCSG; P30) to the University of Arizona Cancer Center (CA023074), the University of New Mexico Comprehensive Cancer Center (CA118100), and the Rutgers Cancer Institute of New Jersey (CA072720). B.K.M. was supported by National Science Foundation via Graduate Research Fellowship DGE-1143953.Clinical trial numberNCT03941782

Metastatic colorectal cancer (mCRC) patterns of care: Implications for clinical trial design

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 4079-4079 ◽  
Author(s):  
C. S. Denlinger ◽  
M. A. Collins ◽  
Y. Wong ◽  
S. Litwin ◽  
N. J. Meropol
Keyword(s):  
Clinical Trial ◽  
Decision Making ◽  
Clinical Trials ◽  
Trial Design ◽  
Clinical Trial Design ◽  
New Drugs ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Treatment Change ◽  
Therapy Regimen

4079 Background: New approaches have expanded options for patients (pts) with mCRC. To characterize current practice paradigms that might bear on clinical trial design, we analyzed decision-making and treatment patterns in pts treated at a Comprehensive Cancer Center since the introduction of cetuximab (CET), and bevacizumab (BV). Methods: A retrospective review of all pts diagnosed with mCRC between 3/1/04 and 8/28/06 treated at Fox Chase Cancer Center. Results: 160 pts were treated, with 157 pts receiving at least one therapy regimen by 10 attending oncologists. There were 350 changes in therapy with 246 (70%) including continuation of at least one prior drug (92 BV, 111 fluoropyrimidines, 43 other). The most common reasons for treatment change were toxicity (33%), progressive disease (PD) (29%), treatment breaks (15%), and metastasectomy (11%) ( Table ). PD was a more common cause for treatment discontinuation in later phases of treatment (18% initial regimen vs. 36% subsequent regimens, p=0.0002). 24% of pts treated with oxaliplatin (OX) discontinued due to neuropathy. Hypersensitivity caused discontinuation in 5% of pts with OX and 7% of pts with CET. Resection of metastases was undertaken in 38% of pts. 43% of these pts received neoadjuvant therapy, and 56% received adjuvant therapy. 30% of pts have died, 29% remain on active treatment, 28% are on a treatment break, 3% are on hospice, and 11% are lost to follow-up. Conclusions: PD is no longer the primary reason for change of therapy in pts with mCRC. Metastasectomy is common and OX neuropathy is often treatment-limiting. These findings have important implications for endpoint selection and design of clinical trials in mCRC. Future clinical trials in mCRC must recognize treatment complexities and capture key components of decision-making that may result in prolonged survival. Furthermore, treatment breaks represent a potential window for the evaluation of new drugs. [Table: see text] No significant financial relationships to disclose.

Clinical findings and outcomes from MRI staging of breast cancers in women.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1124-1124
Author(s):  
Akshara Raghavendra ◽  
Charite Nicolette Ricker ◽  
Lingyun Ji ◽  
Terry Church ◽  
Sujie Tang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Underserved Populations ◽  
Preoperative Staging ◽  
Case Series ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Minority Population ◽  
Breast Cancers ◽  
Mri Staging

1124 Background: For patients diagnosed with breast cancer, case series have shown that staging MRI can detect occult breast cancers in 1-10% of cases. Prevalence and risk factors in underserved populations remain unclear. Methods: We performed a retrospective analysis of all patients, newly diagnosed, with breast cancer who had a preoperative staging MRI seen at Norris Comprehensive Cancer Center and LAC +USC, that cares for an underserved and minority population, from 2006 to 2011. Demographic, clinicopathologic and imaging data were obtained through a review of electronic records. Non index lesions were defined as those not known to be malignant, not presenting with clinical, mammographic or ultrasound findings, in a different quadrant and given an MRI BIRADS score of 4 or 5. Results: A total of 718 patients were analyzed and 148 patients (21%) had a total of 187 non index lesions; 63% were ipsilateral, 26% contralateral and 11% bilateral. As initial evaluation of non-index ipsilateral lesions, 71 (38%) had biopsy, 24 (13%) had excision and 34 (18%) had mastectomy. For contralateral non-index lesions, 41 (22%) had contralateral biopsy, 6 (3%) had excision and 11(6%) had mastectomy. Among all non index lesions, 111 (59%) were benign, 14 (7%) DCIS and 62 (33%) invasive cancer. Occult ipsilateral cancer was detected in 50 (6.9%) of patients and contralateral in 10 (1.4%) and bilateral in 6 (0.8%). Conclusions: The occult cancer detection rate with staging MRI was in this 9.2% of this diverse population. No clear risk factors were identified, with detailed factors, including BRCA status to be updated and reanalyzed. [Table: see text]

Applying quality improvement methodologies to decrease the time-to-activation of new clinical trials at an NCI-designated comprehensive cancer center.

2019 ◽  
Vol 37 (27_suppl) ◽  
pp. 296-296
Author(s):  
Timothy J Brown ◽  
Erin Fenske Williams ◽  
Patrice Griffith ◽  
Asal Shoushtari Rahimi ◽  
Rhonda Oilepo ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Quality Improvement ◽  
Six Sigma ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Process Map ◽  
Decision Points ◽  
Improvement Methodologies ◽  
Six Sigma Methodology ◽  
Pass Through

296 Background: Initiating a new clinical trial is burdensome and complex. The time to activate a clinical trial can directly affect the ability to provide innovative, state-of-the-art care to patients. We sought to understand the process of activating an oncology clinical trial at a matrix National Cancer Institute-designated, comprehensive cancer center. Methods: A multidisciplinary team of stakeholders within the cancer center, university, and affiliate hospitals held a retreat to map out the process of activating a clinical trial from packet receipt to enrollment of the first patient. We applied classical QI and Six Sigma methodology to determine bottlenecks and redundancies in activating a clinical trial. During this process, particular attention was paid to time to pass through each step and perceived barriers and bottlenecks were identified through group discussions. The time to activation was measured from the day the trial packet was received until the time when the trial was open for enrollment. Results: The process map identified 66 steps with 12 decision points to activate a new clinical trial. The following two steps were instituted first: 1) allow parallel scientific committee and institutional review board (IRB) review and 2) allow the clinical research coordination committee to review protocols for feasibility and university interest separate from the IRB approval process. These changes resulted in a mean time-to-activation change from 194 days at baseline to 135 days after these changes were implemented. The committee continues to track the activation time and this frame work is used to identify additional improvement steps. Conclusions: By applying quality improvement methodologies and Six Sigma principles, we were able to redesign redundant aspects of the process of activating a clinical trial at a matrix comprehensive cancer center. This was associated with a reduction of time to activation of trials. More importantly, the process map provides a framework to maintain these gains and implement further changes.

scholarly journals Monitoring Twitter Conversations for Targeted Recruitment in Cancer Trials in LA County: Protocol for a Mixed-Methods Pilot Study (Preprint)

2018 ◽  
Author(s):  
Katja Reuter ◽  
Praveen Angyan ◽  
NamQuyen Le ◽  
Alicia MacLennan ◽  
Sarah Cole ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Social Media ◽  
Clinical Trials ◽  
Pilot Study ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Translational Science ◽  
The Social ◽  
Media Intervention ◽  
Twitter Users

BACKGROUND Insufficient recruitment of participants remains a critical roadblock to successful clinical research, in particular clinical trials. Social media (SM) provides new ways for connecting potential participants with research opportunities. Researchers suggested that the social network Twitter may serve as a rich avenue for exploring how patients communicate about their health issues and increasing enrollment in cancer clinical trials. However, there is a lack of evidence that Twitter offers practical utility and impact. OBJECTIVE The objective of this pilot study is to examine the feasibility and impact of using Twitter monitoring data (i.e., user activity and their conversations about cancer-related conditions and concerns expressed by Twitter users in LA County) as a tool for enhancing clinical trial recruitment at a comprehensive cancer center. METHODS We will conduct a mixed-methods interrupted time series study design with a before and after SM recruitment intervention. Based on a preliminary analysis of eligible trials, we plan to onboard at least 84 clinical trials across six disease categories: breast cancer, colon cancer, kidney cancer, lymphoma, non-small cell lung cancer, and prostate cancer that are open to accrual at the USC Norris Comprehensive Cancer Center (USC Norris). We will monitor messages about the six cancer conditions posted by Twitter users in LA County. Recruitment for the trials will occur through the Twitter account (@USCTrials). Primary study outcomes include, first, feasibility and acceptance of the social media intervention among targeted Twitter users and the study teams of the onboarded trials, which will be assessed using qualitative interviews and 4-point Likert scale, and calculating the proportion of targeted Twitter users who engaged with outreach messages. Second, impact of the social media intervention will be measured by calculating the proportion of people who enrolled in trials. The enrollment rate will be compared between the active intervention period and the prior 10 months as historical control for each disease trial group. RESULTS This study has been funded by the National Center for Advancing Translational Science (NCATS) through a Clinical and Translational Science Award (CTSA) award. Study approval was obtained from the Clinical Investigations Committee (CIC) at USC Norris and the Institutional Review Board (IRB) at USC. Recruitment on Twitter started in February 2018. Data collection will be completed in November 2018. CONCLUSIONS This pilot project will provide preliminary data and practical insight into the application of publicly available Twitter data to identify and recruit clinical trial participants center across six cancer disease types. We will shed light on the acceptance of the SM intervention among Twitter users and study team members of the onboarded trials. If successful, the findings will inform a multisite, randomized controlled trial to determine the efficacy of the social media intervention across different locations and populations.

scholarly journals Rapid Utilization of Telehealth in a Comprehensive Cancer Center as a Response to COVID-19: Cross-Sectional Analysis (Preprint)

2020 ◽  
Author(s):  
Peter E Lonergan ◽  
Samuel L Washington III ◽  
Linda Branagan ◽  
Nathaniel Gleason ◽  
Raj S Pruthi ◽  
...  
Keyword(s):  
San Francisco ◽  
Video Conferencing ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Primary Language ◽  
Cross Sectional ◽  
Patient Demographics ◽  
Race Ethnicity ◽  
The University ◽  
Sectional Analysis

BACKGROUND The emergence of the coronavirus disease (COVID-19) pandemic in March 2020 created unprecedented challenges in the provision of scheduled ambulatory cancer care. As a result, there has been a renewed focus on video-based telehealth consultations as a means to continue ambulatory care. OBJECTIVE The aim of this study is to analyze the change in video visit volume at the University of California, San Francisco (UCSF) Comprehensive Cancer Center in response to COVID-19 and compare patient demographics and appointment data from January 1, 2020, and in the 11 weeks after the transition to video visits. METHODS Patient demographics and appointment data (dates, visit types, and departments) were extracted from the electronic health record reporting database. Video visits were performed using a HIPAA (Health Insurance Portability and Accountability Act)-compliant video conferencing platform with a pre-existing workflow. RESULTS In 17 departments and divisions at the UCSF Cancer Center, 2284 video visits were performed in the 11 weeks before COVID-19 changes were implemented (mean 208, SD 75 per week) and 12,946 video visits were performed in the 11-week post–COVID-19 period (mean 1177, SD 120 per week). The proportion of video visits increased from 7%-18% to 54%-72%, between the pre– and post–COVID-19 periods without any disparity based on race/ethnicity, primary language, or payor. CONCLUSIONS In a remarkably brief period of time, we rapidly scaled the utilization of telehealth in response to COVID-19 and maintained access to complex oncologic care at a time of social distancing.

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