Developing and Validating a Korean Version of the Assessment of Children's Emotional Skills

In this study, a Korean Assessment of Children's Emotional Skills (ACES) was developed by modifying the original ACES which was initially introduced in the United States. Specifically, the original ACES was translated into Korean and revised to better fit the Korean cultural context. The content validity of the revised Korean ACES was established via expert reviews. To test its reliability, the revised Korean ACES was conducted on 286 six-year-old children. A confirmatory factor analysis indicated that our newly developed Korean ACES can be used as an appropriate tool to measure Korean children's emotional skills. The Korean ACES can stimulate further studies on these emotional skills and contribute to various international collaborative studies that seek to compare the emotional skills of children from diverse cultural backgrounds.

Pancreas preserving duodenectomy (PPrD)

BACKGROUND

Pancreaticoduodenectomy has been the standard of care for managing duodenal neoplasms, but recent studies show similar overall and disease-specific survival after pancreas-preserving duodenectomy (PPrD) with potentially less morbidity.

METHODS

Retrospective cohort of all adult (age >18) patients who underwent PPrD with curative intent of a neoplasm in or invading into the duodenum at our institution from 2011 to 2022 (n ​= ​29), excluding tumors involving the Ampulla of Vater or the pancreas. Statistical analyses were performed using STATA.

RESULTS

R0 resection was achieved in 93 ​% patients. Ten (34.4 ​%) experienced postoperative complications (13.7 ​% within Clavien-Dindo III-V). PPrD patients had lower rates of pancreatic leak, delayed gastric emptying, and deep surgical site infection.

CONCLUSIONS

In this case series, we demonstrate PPrD is safe and effective, with a high rate of complete resection and lower complication rate than that seen in pancreaticoduodenectomy.

Timing of radiotherapy (RT) after radical prostatectomy (RP): long-term outcomes in the RADICALS-RT trial (NCT00541047)

BACKGROUND

The optimal timing of radiotherapy (RT) after radical prostatectomy for prostate cancer has been uncertain. RADICALS-RT compared efficacy and safety of adjuvant RT versus an observation policy with salvage RT for prostate-specific antigen (PSA) failure.

PATIENTS AND METHODS

RADICALS-RT was a randomised controlled trial enrolling patients with ≥1 risk factor (pT3/4, Gleason 7-10, positive margins, preoperative PSA≥10 ng/ml) for recurrence after radical prostatectomy. Patients were randomised 1:1 to adjuvant RT ('Adjuvant-RT') or an observation policy with salvage RT for PSA failure ('Salvage-RT') defined as PSA≥0.1 ng/ml or three consecutive rises. Stratification factors were Gleason score, margin status, planned RT schedule (52.5 Gy/20 fractions or 66 Gy/33 fractions) and treatment centre. The primary outcome measure was freedom-from-distant-metastasis (FFDM), designed with 80% power to detect an improvement from 90% with Salvage-RT (control) to 95% at 10 years with Adjuvant-RT. Secondary outcome measures were biochemical progression-free survival, freedom from non-protocol hormone therapy, safety and patient-reported outcomes. Standard survival analysis methods were used; hazard ratio (HR)<1 favours Adjuvant-RT.

RESULTS

Between October 2007 and December 2016, 1396 participants from UK, Denmark, Canada and Ireland were randomised: 699 Salvage-RT, 697 Adjuvant-RT. Allocated groups were balanced with a median age of 65 years. Ninety-three percent (649/697) Adjuvant-RT reported RT within 6 months after randomisation; 39% (270/699) Salvage-RT reported RT during follow-up. Median follow-up was 7.8 years. With 80 distant metastasis events, 10-year FFDM was 93% for Adjuvant-RT and 90% for Salvage-RT: HR=0.68 [95% confidence interval (CI) 0.43-1.07, P=0.095]. Of 109 deaths, 17 were due to prostate cancer. Overall survival was not improved (HR=0.980, 95% CI 0.667-1.440, P=0.917). Adjuvant-RT reported worse urinary and faecal incontinence 1 year after randomisation (P=0.001); faecal incontinence remained significant after 10 years (P=0.017).

CONCLUSION

Long-term results from RADICALS-RT confirm adjuvant RT after radical prostatectomy increases the risk of urinary and bowel morbidity, but does not meaningfully improve disease control. An observation policy with salvage RT for PSA failure should be the current standard after radical prostatectomy.

TRIAL IDENTIFICATION

RADICALS, RADICALS-RT, ISRCTN40814031, NCT00541047.

Automatic end-to-end VMAT treatment planning for rectal cancers

BACKGROUND

The treatment planning process from segmentation to producing a deliverable plan is time-consuming and labor-intensive. Existing solutions automate the segmentation and planning processes individually. The feasibility of combining auto-segmentation and auto-planning for volumetric modulated arc therapy (VMAT) for rectal cancers in an end-to-end process is not clear.

PURPOSE

To create and clinically evaluate a complete end-to-end process for auto-segmentation and auto-planning of VMAT for rectal cancer requiring only the gross tumor volume contour and a CT scan as inputs.

METHODS

Patient scans and data were retrospectively selected from our institutional records for patients treated for malignant neoplasm of the rectum. We trained, validated, and tested deep learning auto-segmentation models using nnU-Net architecture for clinical target volume (CTV), bowel bag, large bowel, small bowel, total bowel, femurs, bladder, bone marrow, and female and male genitalia. For the CTV, we identified 174 patients with clinically drawn CTVs. We used data for 18 patients for all structures other than the CTV. The structures were contoured under the guidance of and reviewed by a gastrointestinal (GI) radiation oncologist. The predicted results for CTV in 35 patients and organs at risk (OAR) in six patients were scored by the GI radiation oncologist using a five-point Likert scale. For auto-planning, a RapidPlan knowledge-based planning solution was modeled for VMAT delivery with a prescription of 25 Gy in five fractions. The model was trained and tested on 20 and 34 patients, respectively. The resulting plans were scored by two GI radiation oncologists using a five-point Likert scale. Finally, the end-to-end pipeline was evaluated on 16 patients, and the resulting plans were scored by two GI radiation oncologists.

RESULTS

In 31 of 35 patients, CTV contours were clinically acceptable without necessary modifications. The CTV achieved a Dice similarity coefficient of 0.85 (±0.05) and 95% Hausdorff distance of 15.25 (±5.59) mm. All OAR contours were clinically acceptable without edits, except for large and small bowel which were challenging to differentiate. However, contours for total, large, and small bowel were clinically acceptable. The two physicians accepted 100% and 91% of the auto-plans. For the end-to-end pipeline, the two physicians accepted 88% and 62% of the auto-plans.

CONCLUSIONS

This study demonstrated that the VMAT treatment planning technique for rectal cancer can be automated to generate clinically acceptable and safe plans with minimal human interventions.

Low household income increases the risk of tuberculosis recurrence: a retrospective nationwide cohort study in South Korea

OBJECTIVES

We assessed the impact of household income on tuberculosis (TB) recurrence and the long-term impact of TB on household income.

STUDY DESIGN

This was a retrospective nationwide cohort study of patients with drug-susceptible TB (DS-TB) and TB recurrence.

METHODS

Using the South Korean national TB cohort database, we identified a sub-set cohort of patients with newly diagnosed drug-susceptible TB between 2013 and 2016 and tracked their TB recurrence and longitudinal income data from 2007 to 2018. Income levels were evaluated as 'Medical aid' and quintile categories. To assess risk factors associated with TB recurrence, we used a sub-distribution hazard model, adjusting for the competing risks of death.

RESULTS

Of 66,690 patients successfully treated with DS-TB, 2095 (3.1 %) experienced recurrence during a median follow-up of 39 months. The incidence of TB recurrence was 982.1/100,000 person-years, with 50.3 % of the recurrences occurring within 1 year of treatment completion. The risk of TB recurrence increased with decreasing income levels, with the highest risk observed in the lowest income group. The effect of income on TB recurrence was prominent in males but not in females. Overall, patients with TB recurrence experienced a linear decline in income levels, compared with those without recurrence.

CONCLUSIONS

Household income during the initial TB episode was an important risk factor for TB recurrence, particularly in males.

Treatment outcome, recurrence and safety of multidrug-resistant TB treated with low-dose linezolid

BACKGROUND: Linezolid (LZD) is a key treatment option for patients with multidrug-resistant/rifampicin-resistant TB (MDR/RR-TB). We investigated the long-term treatment outcomes and safety of MDR/RR-TB treatment using low-dose LZD.METHODS: Medical records of patients with MDR/RR-TB treated with LZD ≥4 weeks between 2004 and 2018 at the Asan Medical Center, Seoul, Republic of Korea, were reviewed. Standard-dose and low-dose LZD groups were defined as patients initially administered LZD ≥600 mg/day or 300 mg/day, respectively.RESULTS: Among 94 patients, 65 were included in the low-dose LZD group; mean age was 43.1 ± 15.6 years, 53 (56.4%) were men and 77 (83.7%) were resistant to fluoroquinolone. The low-dose LZD group showed features of less severe disease, such as limited MDR-TB history and less severe radiological findings. There was no difference in treatment outcomes, relapse and safety between groups. In the low-dose LZD group, 54 (83.1%) succeeded treatment, of whom 48 (88.9%) were followed-up for a median of 38 months; there was no recurrence. Adverse drug reactions were reported in 41 (63.1%); peripheral neuropathy was most frequently reported (n = 31, 47.7%), while myelosuppression was reported in 12 (18.5%).CONCLUSION: Low-dose LZD in selected patients with less severe disease is both effective in the long-term and safe for the treatment of MDR/RR-TB.

Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers

BACKGROUND

In recent years, deep-learning models have been used to predict entire three-dimensional dose distributions. However, the usability of dose predictions to improve plan quality should be further investigated.

PURPOSE

To develop a deep-learning model to predict high-quality dose distributions for volumetric modulated arc therapy (VMAT) plans for patients with gynecologic cancer and to evaluate their usability in driving plan quality improvements.

METHODS

A total of 79 VMAT plans for the female pelvis were used to train (47 plans), validate (16 plans), and test (16 plans) 3D dense dilated U-Net models to predict 3D dose distributions. The models received the normalized CT scan, dose prescription, and target and normal tissue contours as inputs. Three models were used to predict the dose distributions for plans in the test set. A radiation oncologist specializing in the treatment of gynecologic cancers scored the test set predictions using a 5-point scale (5, acceptable as-is; 4, prefer minor edits; 3, minor edits needed; 2, major edits needed; and 1, unacceptable). The clinical plans for which the dose predictions indicated that improvements could be made were reoptimized with constraints extracted from the predictions.

RESULTS

The predicted dose distributions in the test set were of comparable quality to the clinical plans. The mean voxel-wise dose difference was -0.14 ± 0.46 Gy. The percentage dose differences in the predicted target metrics ofD 1 % ${D}_{1{\mathrm{\% }}}$ andD 98 % ${D}_{98{\mathrm{\% }}}$ were -1.05% ± 0.59% and 0.21% ± 0.28%, respectively. The dose differences in the predicted organ at risk mean and maximum doses were -0.30 ± 1.66 Gy and -0.42 ± 2.07 Gy, respectively. A radiation oncologist deemed all of the predicted dose distributions clinically acceptable; 12 received a score of 5, and four received a score of 4. Replanning of flagged plans (five plans) showed that the original plans could be further optimized to give dose distributions close to the predicted dose distributions.

CONCLUSIONS

Deep-learning dose prediction can be used to predict high-quality and clinically acceptable dose distributions for VMAT female pelvis plans, which can then be used to identify plans that can be improved with additional optimization.

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Access to radiotherapy worldwide is limited. The Radiation Planning Assistant (RPA) is a fully automated, web-based tool that is being developed to offer fully automated radiotherapy treatment planning tools to clinics with limited resources. The goal is to help clinical teams scale their efforts, thus reaching more patients with cancer. The user connects to the RPA via a webpage, completes a Service Request (prescription and information about the radiotherapy targets), and uploads the patient's CT image set. The RPA offers two approaches to automated planning. In one-step planning, the system uses the Service Request and CT scan to automatically generate the necessary contours and treatment plan. In two-step planning, the user reviews and edits the automatically generated contours before the RPA continues to generate a volume-modulated arc therapy plan. The final plan is downloaded from the RPA website and imported into the user's local treatment planning system, where the dose is recalculated for the locally commissioned linac; if necessary, the plan is edited prior to approval for clinical use.

Concordance of diagnostic modalities in atypical skin and soft tissue infections in hospitalized patients

Skin and soft tissue infections (SSTIs) have high rates of morbidity and mortality worldwide but lack reliable standards for diagnostic workup. As a result, atypical infections, more prevalent among immunocompromised patients, can be missed due to deviance from classic features only to be revealed later through inconsistently performed ancillary studies. Our objectives included to evaluate the sensitivities of clinical impression, histopathology, tissue culture, and molecular and non-molecular ancillary tests in diagnosing inpatient SSTIs, as well as to qualitatively discuss the unusual features making a subset of infections "atypical." To do so, we retrospectively reviewed the histopathologic reports and charts of inpatient dermatologic consults at a single tertiary care institution over a 3-year period. We identified a total of 111 cases of SSTIs evaluated by the inpatient dermatology consultation service with concurrent skin or soft tissue biopsy, with 32.4% representing atypical infections. Among these, clinical impression suggested infection in 9(25.0%), routine histopathology in 21(58.3%), specialized stains for microorganisms in 22(68.8%), and tissue culture in 15(68.2%). Due to incomplete picture that each modality by itself creates, we conclude that clinicians and pathologists should carry a low threshold for including SSTIs in their differential diagnoses and should evaluate with skin biopsy, special stains for microorganisms, and ancillary studies, particularly in critically ill individuals who necessitate timely diagnoses.

Addressing the Global Expertise Gap in Radiation Oncology: The Radiation Planning Assistant

PURPOSE

Automation, including the use of artificial intelligence, has been identified as a possible opportunity to help reduce the gap in access and quality for radiotherapy and other aspects of cancer care. The Radiation Planning Assistant (RPA) project was conceived in 2015 (and funded in 2016) to use automated contouring and treatment planning algorithms to support the efforts of oncologists in low- and middle-income countries, allowing them to scale their efforts and treat more patients safely and efficiently (to increase access).

DESIGN

In this review, we discuss the development of the RPA, with a particular focus on clinical acceptability and safety/risk across jurisdictions as these are important indicators for the successful future deployment of the RPA to increase radiotherapy availability and ameliorate global disparities in access to radiation oncology.

RESULTS

RPA tools will be offered through a webpage, where users can upload computed tomography data sets and download automatically generated contours and treatment plans. All interfaces have been designed to maximize ease of use and minimize risk. The current version of the RPA includes automated contouring and planning for head and neck cancer, cervical cancer, breast cancer, and metastases to the brain.

CONCLUSION

The RPA has been designed to bring high-quality treatment planning to more patients across the world, and it may encourage greater investment in treatment devices and other aspects of cancer treatment.

Abstract 6414: Concomitant anti-tumor immunity and checkpoint blockade responses are restored by depletion of CD62L expressing cells

Studies have shown the importance of CD62L in leukocyte trafficking. However, the significance of CD62L-expressing cells in concomitant anti-tumor immunity has not been investigated. Using a model of post-surgical tumor immunity, we show that in vivo depletion of CD62L-expressing cells before or immediately after surgical tumor resection enabled the development of anti-tumor concomitant responses against poorly immunogenic B16 (melanoma) or MTE-Ras (head & neck cancer) tumor cells. Anti-CD62L mAb administration depleted the cellular immune components that express CD62L, including NK, NKT, Mo, Ma, B, and T cells. Within the T cell compartment, naïve T cells (CD44lo CD62Lhi), effector (CD44hi CD62Llo), memory (CD44hi CD62Lhi) and regulatory T cells (Treg, CD4 CD25 Foxp3) were also depleted, while effector CD62L-negative T cells were spared in the TDLN. Tumor immunity did not occur in the absence of a primary tumor (sham surgery group) or after CD8 depletion. Whereas anti-CTLA-4 or anti-PD-1 mAbs failed as monotherapies, their administration during CD62L depletion restored their anti-tumor properties. The unified global gene expression analysis of the TDLN shows the significant enrichment of biological processes involved in the CD8 T cell effector phase, IL-2/IL-15, TNF-α, IFN-γ, IFN-α, IL-6, responses, mitotic cell division, glycolysis, and acetylation. Also, genes related to Treg responses were downregulated. These data point to a process in which depletion of CD62L cells in tumor-bearing hosts transforms the TDLN into a highly active immunological site in which tumor-reactive effector CD8 T cells (CD62L-negative) actively divide in the absence of Treg, accompanied by a cytokine response, glucose consumption, and acetylation of transcriptional factors and histones. These results identify an unrecognized role of CD62L-expressing cells in regulating concomitant anti-tumor immunity and restoring anti-tumor responses by checkpoint blockade inhibitors. Our study provides a new framework that could help understand how anti-tumor responses are limited.

Citation Format: Brianna Burke, Lourdes Plaza-Rojas, Cynthia Perez, Elena Kostenko, Anna Austin, Justin Boucher, Kushal Prajapati, Michael Delos Reyes, Christine Chung, Jose-Alejandro Guevara-Patino. Concomitant anti-tumor immunity and checkpoint blockade responses are restored by depletion of CD62L expressing cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6414.

The CANDOR corpus: Insights from a large multimodal dataset of naturalistic conversation

People spend a substantial portion of their lives engaged in conversation, and yet, our scientific understanding of conversation is still in its infancy. Here, we introduce a large, novel, and multimodal corpus of 1656 conversations recorded in spoken English. This 7+ million word, 850-hour corpus totals more than 1 terabyte of audio, video, and transcripts, with moment-to-moment measures of vocal, facial, and semantic expression, together with an extensive survey of speakers' postconversation reflections. By taking advantage of the considerable scope of the corpus, we explore many examples of how this large-scale public dataset may catalyze future research, particularly across disciplinary boundaries, as scholars from a variety of fields appear increasingly interested in the study of conversation.

Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans

PURPOSE

This study aimed to use deep learning-based dose prediction to assess head and neck (HN) plan quality and identify suboptimal plans.

METHODS AND MATERIALS

A total of 245 volumetric modulated arc therapy HN plans were created using RapidPlan knowledge-based planning (KBP). A subset of 112 high-quality plans was selected under the supervision of an HN radiation oncologist. We trained a 3D Dense Dilated U-Net architecture to predict 3-dimensional dose distributions using 3-fold cross-validation on 90 plans. Model inputs included computed tomography images, target prescriptions, and contours for targets and organs at risk (OARs). The model's performance was assessed on the remaining 22 test plans. We then tested the application of the dose prediction model for automated review of plan quality. Dose distributions were predicted on 14 clinical plans. The predicted versus clinical OAR dose metrics were compared to flag OARs with suboptimal normal tissue sparing using a 2 Gy dose difference or 3% dose-volume threshold. OAR flags were compared with manual flags by 3 HN radiation oncologists.

RESULTS

The predicted dose distributions were of comparable quality to the KBP plans. The differences between the predicted and KBP-planned D_1%,D_95%, and D_99% across the targets were within -2.53% ± 1.34%, -0.42% ± 1.27%, and -0.12% ± 1.97%, respectively, and the OAR mean and maximum doses were within -0.33 ± 1.40 Gy and -0.96 ± 2.08 Gy, respectively. For the plan quality assessment study, radiation oncologists flagged 47 OARs for possible plan improvement. There was high interphysician variability; 83% of physician-flagged OARs were flagged by only one of 3 physicians. The comparative dose prediction model flagged 63 OARs, including 30 of 47 physician-flagged OARs.

CONCLUSIONS

Deep learning can predict high-quality dose distributions, which can be used as comparative dose distributions for automated, individualized assessment of HN plan quality.

Analysis of the first genetic engineering attribution challenge

The ability to identify the designer of engineered biological sequences-termed genetic engineering attribution (GEA)-would help ensure due credit for biotechnological innovation, while holding designers accountable to the communities they affect. Here, we present the results of the first Genetic Engineering Attribution Challenge, a public data-science competition to advance GEA techniques. Top-scoring teams dramatically outperformed previous models at identifying the true lab-of-origin of engineered plasmid sequences, including an increase in top-1 and top-10 accuracy of 10 percentage points. A simple ensemble of prizewinning models further increased performance. New metrics, designed to assess a model's ability to confidently exclude candidate labs, also showed major improvements, especially for the ensemble. Most winning teams adopted CNN-based machine-learning approaches; however, one team achieved very high accuracy with an extremely fast neural-network-free approach. Future work, including future competitions, should further explore a wide diversity of approaches for bringing GEA technology into practical use.

Evaluating the long-term impact of an antimicrobial stewardship programme in a Central London mixed medical and surgical intensive care unit

Background

Antimicrobial overuse causes increased antimicrobial resistance in ICUs; antimicrobial stewardship programmes (ASPs) aim to optimize usage. Following an MDR Acinetobacter baumannii (MRAb) outbreak in 2008, an ASP was implemented at a London ICU, and then continued as a long-term programme. This study aimed to determine long-term changes in antimicrobial prescribing 9 years on.

Methods

Data were collected from ICU patients in 2008 immediately before ASP implementation, and thereafter for 6 month cohort periods in 2010-2011, 2012 and 2017. Antimicrobial usage in DDD per 1000 occupied bed days (OBD) were compared. Multivariate linear regression models for antimicrobial days were fitted, adjusting for APACHE II score and patient days. Antimicrobial resistance in Pseudomonas aeruginosa (as an indicator organism) was compared across cohort periods.

Findings

Across 400 patients over 9 years, antimicrobial use changed significantly (P < 0.011) and remained lower in all post-ASP cohorts compared with pre-ASP [(2008; 1827 DDD/1000 OBD), (2010; 1264 DDD/1000 OBD), (2012; 1270 DDD/1000 OBD) and (2017; 1566 DDD/1000 OBD)]. There was reduction in usage of all antimicrobial classes except β-lactams (where there was no significant increase nor decrease, P = 0.178) and aminoglycosides (where there was a significant increase in usage, P < 0.0001). The latter was temporally associated with restrictions on specific carbapenems. There was an increase in carbapenem-resistant P. aeruginosa in 2012 only (P = 0.028) but not subsequently.

Conclusions

Following ASP implementation after an outbreak of MRAb, reduced antimicrobial prescribing was maintained 9 years on. We identify several factors influencing successful long-term maintenance of ASPs in ICUs.

Abstract PR010: Evolutionary Tumor Board: Implementing dynamic personalized therapy using evolutionary theory and mathematical modeling for clinical decision support

The era of big data in oncology has led to the promise of precision medicine for individual patients. However, many therapy decisions continue to be made based on “one size fits most” approaches, primarily since there exist few theoretical and practical tools to deal with a patient’s data over time. In parallel with this growing interest in personalized medicine, cancer is being increasingly recognized as an eco-evolutionary system that adapts to treatments, suggesting that static therapy regimens are often doomed to eventual failure. Here, we present preliminary results from a novel pilot clinical trial (NCT04343365), the Evolutionary Tumor Board (ETB), which uses eco-evolutionary theory (based on experiments and modeling) to assist with clinical decision making for each patient. We developed an informational and computational framework for applying evolutionary therapy approaches to individual patients in a dynamic fashion, using their clinical data in real time. The framework relies on detailed data curation and imaging measurements for each patient, as well as a mathematical modeling approach that accounts for multi-lesion tumor growth, treatment-induced death, and the evolution of resistance. The models are calibrated by historical datasets of similar patients, as well as the patient’s own temporal data. We use a “Phase i trial” approach to account for prediction uncertainty and provide decision support for therapy options available to the patient at any given time point. Crucially, this is presented in a way that harmonizes with the treating oncologist’s intuition. Fifteen patients at Moffitt have been enrolled into the ETB, many of whom have proceeded through the entire process, including follow-up analysis. The ETB generated outcome predictions and therapy recommendations for each case, and subsequent follow-up predictions and recommendations. Our current results demonstrate that the ETB approach has provided both novel and useful decision support for the clinicians. At the same time, numerous opportunities for further research and development have been identified. Our efforts show that there are both challenges and opportunities in the area of personalized therapy, particularly in the context of real-time clinical care. Early results from the ETB show great promise for improving patient outcomes in cancer using mathematical modeling and evolutionary therapy.

Citation Format: Mark Robertson-Tessi, Joel Brown, Maria Poole, Kimberly Luddy, Andriy Marusyk, Jill Gallaher, Jeffrey West, Matthew Johnson, Heiko Enderling, Rikesh Makanji, Joaquim Farinhas, Robert Gatenby, Damon Reed, Christine Chung, Alexander Anderson. Evolutionary Tumor Board: Implementing dynamic personalized therapy using evolutionary theory and mathematical modeling for clinical decision support [abstract]. In: Proceedings of the AACR Special Conference on the Evolutionary Dynamics in Carcinogenesis and Response to Therapy; 2022 Mar 14-17. Philadelphia (PA): AACR; Cancer Res 2022;82(10 Suppl):Abstract nr PR010.

Abstract B006: Evolutionary Tumor Board: Implementing dynamic personalized therapy using evolutionary theory and mathematical modeling for clinical decision support

This abstract is being presented as a short talk in the scientific program. A full abstract is available in the Proffered Abstracts section (PR010) of the Conference Proceedings.

Citation Format: Mark Robertson-Tessi, Joel Brown, Maria Poole, Kimberly Luddy, Andriy Marusyk, Jill Gallaher, Jeffrey West, Matthew Johnson, Heiko Enderling, Rikesh Makanji, Joaquim Farinhas, Robert Gatenby, Damon Reed, Christine Chung, Alexander Anderson. Evolutionary Tumor Board: Implementing dynamic personalized therapy using evolutionary theory and mathematical modeling for clinical decision support [abstract]. In: Proceedings of the AACR Special Conference on the Evolutionary Dynamics in Carcinogenesis and Response to Therapy; 2022 Mar 14-17. Philadelphia (PA): AACR; Cancer Res 2022;82(10 Suppl):Abstract nr B006.

An Assessment of Naturopathic Treatments, Health Concerns, and Common Comorbid Conditions in Fibromyalgia Patients: A Retrospective Medical Record Review

Background: Fibromyalgia (FM) is characterized by chronic pain, with allodynia and hyperalgesia being the most common signs. Many patients with FM explore, express interest, and use complementary and alternative medicine to help manage symptoms and improve quality of life. However, little is known about the clinical recommendations provided by naturopathic doctors (NDs). Objective: To describe trends in assessment and treatment of patients with FM by NDs. Methods: Retrospectively, medical records of 200 patients with the FM ICD-10 code were reviewed from the Robert Schad Naturopathic Clinic. Of these records, 70 met inclusion criteria and were further analyzed. Comorbid conditions, health concerns, physical and psychological examinations, and treatment were recorded. Patients were excluded if informed consent for research was not signed. The project was approved by the Research Ethics Board of the Canadian College of Naturopathic Medicine. Results: Seventy patients met criteria and were included in the current analysis. Most patients identified as female (96%). Vitamin D (57%), magnesium (54%), omega-3 fish oil (53%), acupuncture by an acupuncturist (53%) or an ND (40%), B12 orally or by injection (40%), and probiotics (40%) were highly utilized treatments. A past/current medical history of digestive complaints (64%) and depression/mental illness (63%) were common comorbidities, alongside a history of arthritic conditions (53%) and anxiety (43%). A family history of arthritic conditions (47%) was also prevalent. The Widespread Pain Index and Symptom Severity tool (43%) was used to assess pain and other symptoms. No adverse effects of treatment were readily identifiable. Conclusion: Findings from this study reveal elements of both consistency and variability in the treatment recommendations from NDs in a teaching clinic environment. Future research that assesses or compares treatment recommendations for FM in other settings may be informative to better understand health services, the nature of individualized care, and patient experiences.

Characterization of Blood-Based Molecular Profiling in Pancreatic Adenocarcinoma

Background: Molecular profiling is being explored in pancreatic adenocarcinoma (PDAC) as a tool to assist with early detection, prognosis, and patient selection in targeted therapy clinical trials. Due to the challenges and risks of traditional tissue biopsies in pancreatic adenocarcinoma, the utility of blood-based molecular profiling is now being explored more broadly. However, given its novelty, what value blood-based molecular profiling may provide to oncologists caring for individuals with PDAC remains unknown. Herein, we characterize the mutational landscape of metastatic PDAC using blood-based circulating tumor DNA (ctDNA) collected in patients with refractory, metastatic PDAC who were referred to an oncology drug development unit in Denver, Colorado, between August 2014 and May 2019. Methods: We retrospectively analyzed results of blood-based molecular profiling that was performed on 77 consecutive patients with metastatic PDAC who underwent Guardant-360 testing for whom results were available. Results: In our data set, 55% of patients (41/77) were men, median (SD) age was 66 (9.3) years (range, 44-83). Of 77 patients, 34 (44%) had 1 or more somatic alterations. Variants reported as being of unknown significance were not included in the analyses. The total number of alterations were 119 (nonunique) and 96 (unique). The median number of alterations per patient was 3 and the median mutant allele frequency was 0.5%. TP53 was the most commonly altered gene (29 unique alterations), followed by KRAS (27 unique alterations). Of the patients with any alteration, 34% had 1 or more actionable alterations that could be potentially targeted in a clinical trial. Conclusions: Detection of genomic alterations in ctDNA from patients with metastatic PDAC is feasible and reveals a wide range of genomic alterations, the actionability of which is being explored in clinical trials. Further investigation is needed to determine the extent to which blood-based molecular profiling can provide clinical utility in helping to select patients into clinical trials and determine its impact on survival.

CTNI-44. DOSIMETRIC IMPACT OF TUMOR TREATING FIELDS ON CONCURRENT RADIATION THERAPY FOR PEDIATRIC BRAIN TUMORS

INTRODUCTION

Early results suggest that tumor treating fields (TTF) concurrent with radiotherapy (RT) for glioblastoma yields acceptable dosimetry in adults; the impact on RT dose distribution in children is unknown. This study was undertaken to evaluate the dosimetric impact of TTF on concurrent photon RT for children with brain tumors.

METHODS

CT scans of an anthropomorphic pediatric head phantom (approximately 15-year-old) and an infant-head-sized spherical phantom were acquired with and without TTF attached. For each phantom, simulated supratentorial tumor targets were initially contoured on CT datasets acquired without TTF attached. Treatment plans using volumetric modulated arc therapy were created to deliver 60Gy and 50Gy to the gross tumor volume (GTV) and clinical tumor volume (CTV), respectively, in 30 fractions. The dose distributions of the same treatment plans were then re-computed with TTF attached. Target coverage metrics were compared between dose distributions with and without TTF. To measure skin dose, treatment plans were delivered with thermoluminescent dosimeters placed on the phantoms at various locations, with and without TTF attached.

RESULTS

The presence of TTF slightly reduced target coverage. For the two phantoms studied, D95 of the CTV was reduced by 0.65% and 1.03%, and D95 of the GTV was reduced by 0.7% and 1.05%, respectively. Electrodes under the direct beam path increased skin dose by an average of 43.3% (0.3Gy – 20.7Gy), but all skin dose measurements stayed within tolerances. TTF electrodes out of the RT field did not cause an increase in measured dose.

CONCLUSIONS

The dosimetric impact of TTF on pediatric head phantoms receiving concurrent RT resembles that reported in adult studies. Although the tumor dose is not significantly affected, the skin dose notably increases due to the bolus effect from the TTF electrodes, which may be mitigated by skin-sparing planning and shifting of the device during RT.

438 A phase 1 trial of CUE-101, a novel HPV16 E7-pHLA-IL2-Fc fusion protein, alone and in combination with pembrolizumab in patients with recurrent/metastatic HPV16+ head and neck cancer

Background

Immuno-STATsTM are novel, modular fusion proteins designed to selectively activate tumor-antigen-specific CD8+ T cells. CUE-101 is comprised of a human leukocyte antigen (HLA) complex, HLA-A*0201, a peptide epitope derived from the HPV16 E7 protein, and 4 molecules of a reduced affinity human interleukin-2 (IL-2) and is designed to bind and activate HPV16-specific T cells for treatment of HPV16-driven cancers. In preclinical studies CUE-101 demonstrated selective binding, activation, and expansion of HPV16 E7-specific CD8+ T cells, and a murine surrogate activated anti-tumor immunity.1

Methods

CUE-101-01 is a first-in-human study in HLA-A*0201 positive patients with HPV16+ recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). Safety of escalating monotherapy and combination doses was evaluated to establish the recommended phase 2 dose (RP2D) for expanded enrollment. Patients with R/M HNSCC refractory to 1 or more prior platinum or pembrolizumab based systemic treatments received CUE-101 monotherapy, and patients with R/M HNSCC and PD-L1 tumor expression received combination CUE-101 and 200 mg pembrolizumab as first line treatment. Study treatment was administered intravenously every 3 weeks until progression or toxicity. Objectives included evaluation of safety, pharmacokinetics (PK), pharmacodynamics (PD), and antitumor activity.

Results

As of June 30, 2021, 39 patients have received CUE-101 monotherapy ranging from 0.06 to 8 mg/kg. The maximum tolerated dose (MTD) was not identified. Based on PK, PD and clinical data, a monotherapy RP2D of 4 mg/kg was selected. The combination cohort of 1 mg/kg CUE-101 and pembrolizumab has been tested and dose escalation is ongoing. Adverse events have included CTCAE grade 2 or less fatigue (41%), anemia (31%), lymphopenia (24%), chills (21%), decreased appetite (19%) and dyspnea (17%). CUE-101 PK data demonstrate dose-dependent increases in drug exposure that are sustained upon repeat dosing. PD data demonstrate dose-dependent expansion of HPV-16 E711-20-specific CD8+ T cells, sustained increase in natural killer cells and transient increase in Treg cells. An increase in CD3+ GZMB+ tumor infiltrating T cells was observed in tissue following treatment with CUE-101 in one patient with available pre- and post-treatment biopsies. One patient at the CUE-101 monotherapy RP2D has an ongoing partial response and 8 of 33 patients have experienced stable disease ≥ 12 weeks based on RECIST 1.1 criteria.

Conclusions

CUE-101 is a novel immunotherapeutic demonstrating acceptable safety and tolerability with encouraging PD signals, supporting selective activation of tumor-specific T cells, and promising antitumor activity. Enrollment continues in both monotherapy and combination cohorts.

Acknowledgements

The authors would like to thank all the patients who are participating in this study. The study is sponsored by Cue Biopharma.

Trial Registration

ClinicalTrials.

gov NCT03978689

References

Quayle SN, Girgis N, Thapa DR, et al. CUE-101, a Novel HPV16 E7-pHLA-IL-2-Fc fusion protein, enhances tumor antigen specific T cell activation for the treatment of HPV16-driven malignancies. Clin Cancer Res 2020;26:1953–64.

Ethics Approval

This study was approved by Ethics and Institutional Review Boards (IRBs) at all study sites. IRB reference numbers: Advarra Pro00037736 (Moffitt Cancer Center), IRB 52744 (Stanford University School of Medicine), IRB 191714 (Vanderbilt University Medical Center Vanderbilt-Ingram Cancer Center), HRPO# 201905108 (Washington University School of Medicine), 2019–087 Karmanos Cancer Institute, DF/HCC IRB# 19-374 (Massachusetts General Hospital), WIRB 2000026098 (Yale Cancer Center), WIRB 1908869642 (University of Arizona Cancer Center), WIRB STUDY00008948 (University of Washington, Seattle), IRB(IRBMED) HUM00165746 (University of Michigan Comprehensive Cancer Center), WIRB IRB00112341(Winship Cancer Institute/Emory University), 2019–0578 (The University of Texas MD Anderson Cancer Center), IRB 20-073 (Memorial Sloan Kettering Cancer Center), IRB00255391 (Johns Hopkins University School of Medicine).

Decadal climate variability in the tropical Pacific: Characteristics, causes, predictability, and prospects

[Figure: see text].

Barriers to Clinical Trial Enrollment in Patients With Pancreatic Adenocarcinoma Eligible for Early-Phase Clinical Trials

BACKGROUND

Early-phase clinical trials are critical to the advancement of cancer care, especially in patients with pancreatic ductal adenocarcinoma, given its aggressive nature and limited available therapeutic options.

METHODS

A retrospective chart review of all patients with refractory or metastatic pancreatic ductal adenocarcinoma, referred to the Sarah Cannon Research Institute at HealthONE between 2014 and 2019, were reviewed. Patients who completed genomic profiling and qualified for a phase 1 trial (primarily 1a but some 1b) were identified to assess barriers to trial enrollment.

RESULTS

Of 74 identified patients, 54 patients (73%) qualified for at least 1 clinical trial based on eligibility criteria and alterations detected via molecular profiling. Up to 40 industry-sponsored clinical trials were available during this time for consideration. Of the 54, 28 patients (52%) enrolled in a clinical trial, while 26 (48%) did not enroll. The most frequently cited barriers to enrollment were concerns regarding time commitment (12%), prolonged wait time for enrollment (12%), and fear of adverse events (8%). Seven of the 26 patients (27%) were lost to follow-up or had no stated reason for declining enrollment; others did not go on trial due to death/transition to hospice (n=5; 19%) or progression of disease/declining functional status (n=4; 15%). There were few statistically significant differences between patients who chose to go on trial and those who declined.

CONCLUSIONS

An understanding of why eligible patients elect not to participate in early-phase clinical trials provides insight into the patient experience and can help identify misperceptions and areas for improvement in education and the clinical trial enrollment process.

AB0853 IGG4-RELATED DISEASE CAUSING OCULAR NERVE PALSIES AND ORBITAL APEX SYNDROME: CASE REPORT AND LITERATURE REVIEW

Background:

IgG4-Related Disease (IgG4-RD) is a systemic immune-mediated fibroinflammatory condition. The epidemiology is not well defined: it usually affects adults from middle-age onwards, predominantly male. Both B and T-cells are central in IgG4-RD pathogenesis, as demonstrated by the efficacy of B-cell depletion therapy.IgG4-RD can affect multiple organs including the central and peripheral nervous system, producing a constellation of clinical symptoms and signs, depending on the organ structures involved.

IgG4-related orbital disease is relatively rare can implicate all extra-ocular muscles, structures emerging from the Orbital apex, optic canal, or superior and inferior orbital fissure. Depending on the structures involved, it can produce different or sometimes subtle clinical presentations, posing diagnostic challenge. There were case reports of IgG4-related ophthalmic disease misdiagnosed as intraocular tumour.

Objectives:

IgG4-RD is increasingly recognised as an entity affecting the head and neck region. However, it rarely involves skull base and presents with orbital apex syndrome. In this current case report, we describe an interesting case of IgG-related orbital disease presenting with ocular nerve palsies and orbital apex syndrome.

Methods:

Case report.

Results:

A 36-year-old gentleman with cocaine and alcohol misuse presented with a 2-month history of left sided headache, diplopia, recurrent ear infections, otalgia and hearing loss. Initial imaging suggested left otomastoiditis and intravenous antibiotics were commenced. Contralateral partial third nerve palsy with pupil sparing was elicited. 2 months later, there was worsening right eye ptosis, proptosis, right relative afferent pupillary defect, reduced visual acuity and colour vision as well as a near-complete ophthalmoplegia. Subsequent imaging showed worsening soft tissue swelling centred on the upper left parapharyngeal and masticator space, with multiple perineural enhancement and lateral extension to right orbital apex and orbital fissures. Blood tests only revealed raised IgG4 subclass. Infectious aetiology was excluded. Left nasal mass biopsy performed showed no fungal organism or malignancy. There were lymphoplasmacytic proliferation but no storiform fibrosis or obliterative phlebitis. IgG4 immunostaining on two assessable fields revealed 22 and 17 positive plasma cells respectively, and an IgG4: IgG ratio of <10%, and 50% in the other. Significant improvement was seen clinically and radiologically with antibiotics and a tapering regime of oral Prednisolone. Patient was commenced on Azathioprine as long term immunosuppression.

Conclusion:

A high degree of clinical suspicion is necessary to diagnose IgG4-RD when presenting with orbital apex syndrome and ocular nerve palsies,IgG4-RD can mimic mastoiditis of infectious aetiology. Other differentials may include cocaine-induced midline destructive lesions and granulomatosis with polyangiitis. The diagnosis can be supported by elevated serum IgG, elevated IgG index and pathognomonic histopathological findings. . The diagnosis of IgG4-related orbital disease should be deliberated on by a multidisciplinary group, with every effort being made to exclude an infectious aetiology, before embarking on immunosuppressive therapy.Primary treatment is with steroids. However, immunotherapy using azathioprine can be utilised in recurrent disease or patients with steroid intolerance.

References:

[1]Goto H, Ueda S. Immunoglobulin G4-related ophthalmic disease involving the sclera misdiagnosed as intraocular tumor: report of one case. OculOncolPathol. 2016;2(4):285–8.

[2]Ohyama K, Koike H, Iijima M, et al. IgG4-related neuropathy: a case report. JAMA Neurol. 2013;70(4):502–5.

[3]AbdelRazek MA, Venna N, Stone JH. IgG4-related disease of the central and peripheral nervous systems. Lancet Neurol. 2018;17(2):183–92.

[4]Kamekura R, Takahashi H, Ichimiya S. New insights into IgG4-related disease: emerging new CD4+ T-cell subsets. Curr Opin Rheumatol. 2019;31(1):9–15.

Disclosure of Interests:

None declared

Molecular Profiling Practices in Pancreatic Adenocarcinoma: Academic vs Community Physicians

Background: Pancreatic adenocarcinoma (PDAC) is relatively rare but highly aggressive, with most patients diagnosed once they have metastatic or locally invasive disease. Molecular profiling is being explored as a tool for selecting patients for targeted therapy clinical trials and for assessing whether targeted therapies may be effective in PDAC. Whether molecular profiling is being performed at both academic and community oncology clinics has yet to be examined. Here, we characterized the molecular profiling practice patterns in patients with PDAC in academic versus community practices in Denver, Colorado. Methods: We retrospectively reviewed records of all patients with refractory, metastatic PDAC who were referred to a tertiary clinical trials drug development unit in Denver between 2014 and 2019. Results: Of 77 patients, 41 (55%) were men with a mean age of 65 years (SD, 9.3). Fifty-three patients (69%) were referred from the community and 20 (26%) from academic centers; 4 (5%) were self-referred. A total of 51% received profiling prior to referral; 29 of 50 (58%) were from the community and 10 of 21 (47%) from academic settings. Guardant was the most commonly ordered test (47 of 77; 61%); FoundationOne was the second most common (40 of 77; 52%). Twenty-three of 77 patients (30%) received both Guardant and FoundationOne testing, and 3 of 77 (4%) received Caris MI Profile. One patient received a Mocha assay and another received Ascend/Clarient fluorescence in situ hybridization (FISH). Four patients were self-referred, 2 of whom underwent both Guardant and FoundationOne, 1 who underwent Guardant testing only, and 1 who did not receive any molecular profiling testing. Conclusions: This study characterizes molecular profiling practice patterns in individuals with advanced PDAC who were referred to a tertiary clinical trials drug development unit. Both academic and community physicians were found to order profiling about 50% of the time. Further research is needed to determine impact on clinical trial enrollment and detection of PDAC.

Loss of CD73 shifts transforming growth factor-β1 (TGF-β1) from tumor suppressor to promoter in endometrial cancer

In many tumors, CD73 (NT5E), a rate-limiting enzyme in adenosine biosynthesis, is upregulated by TGF-β and drives tumor progression. Conversely, CD73 is downregulated in endometrial carcinomas (EC) despite a TGF-β-rich environment. Through gene expression analyses of normal endometrium samples of the uterine cancer TCGA data set and genetic and pharmacological studies, we discovered CD73 loss shifts TGF-β1 from tumor suppressor to promoter in EC. TGF-β1 upregulated CD73 and epithelial integrity in vivo in the normal endometrium and in vitro in early stage EC cells. With loss of CD73, TGF-β1-mediated epithelial integrity was abrogated. EC cells developed TGF-β1-mediated stress fibers and macromolecule permeability, migration, and invasion increased. In human tumors, CD73 is downregulated in deeply invasive stage I EC. Consistent with shifting TGF-β1 activity, CD73 loss increased TGF-β1-mediated canonical signaling and upregulated cyclin D1 (CCND1) and downregulated p21 expression. This shift was clinically relevant, as CD73^Low/CCND1^High expression associated with poor tumor differentiation, increased myometrial and lymphatic/vascular space invasion, and patient death. Further loss of CD73 in CD73^Low expressing advanced stage EC cells increased TGF-β-mediated stress fibers, signaling, and invasiveness, whereby adenosine A1 receptor agonist, CPA, dampened TGF-β-mediated invasion. These data identify CD73 loss as essential for shifting TGF-β activity in EC.

Neuroblastoma

The survival of patients with high-risk neuroblastoma has improved significantly with the use of intensive multimodality treatment regimens, including chemotherapy, surgery, radiation therapy, myeloablative chemotherapy followed by stem cell rescue, and immunotherapy. This report summarizes the current treatment strategies used in the COG and SIOP for children with neuroblastoma. The improved global collaboration and the adoption of a uniform International Neuroblastoma Risk Group Staging System will help facilitate comparison of homogeneous pretreatment cohorts across clinical trials. Future research strategies regarding the indications for and dosages of radiation therapy to the primary and metastatic sites, and the integration of meta-iodobenzyl guanidine therapy into the multimodal treatment program, are discussed.

Genome-wide surveillance of transcription errors in response to genotoxic stress

Mutagenic compounds are a potent source of human disease. By inducing genetic instability, they can accelerate the evolution of human cancers or lead to the development of genetically inherited diseases. Here, we show that in addition to genetic mutations, mutagens are also a powerful source of transcription errors. These errors arise in dividing and nondividing cells alike, affect every class of transcripts inside cells, and, in certain cases, greatly exceed the number of mutations that arise in the genome. In addition, we reveal the kinetics of transcription errors in response to mutagen exposure and find that DNA repair is required to mitigate transcriptional mutagenesis after exposure. Together, these observations have far-reaching consequences for our understanding of mutagenesis in human aging and disease, and suggest that the impact of DNA damage on human physiology has been greatly underestimated.

Abstract 2178: Expansion of tumor-specific tumor-infiltrating lymphocytes (TIL) from head and neck tumors

Background: Until recently, treatment options for patients with head and neck cancer include a combination of surgery, chemotherapy and radiation. Although the combined use of these treatment options modestly improves survival, combination therapy increases toxicity. Overall survival of these treatment regimens for patients with advanced head and neck cancer is just over 10 months. Even with the newly approved and vastly more tolerable use of anti-PD-1 immunotherapy, survival is only extended by 3-5 months. In comparison, adoptive cell therapy (ACT) using tumor-infiltrating lymphocytes (TIL) has improved the median overall survival in patients with metastatic melanoma to 52 months. The goal of this study was to test the feasibility of expanding tumor-reactive TIL from head and neck tumors for the development of a clinical trial.

Methods: Primary tumors were resected from 20 head and neck cancer patients. Tumors were minced into small fragments (1-3 mm3) and plated in high dose IL-2. After 4 weeks, expanded TIL were phenotyped by flow cytometry and tested for tumor reactivity by IFN-gamma production after co-culture of TIL with autologous tumor digest. IFN-gamma levels were determined by ELISA. Reactive TIL were expanded using a rapid expansion protocol (REP).

Results: The mean expansion of TIL per fragment was 1.96 × 106. From 20 primary tumors, seven were contaminated and discarded. TIL were successfully expanded from 11/13 (85%) evaluable tumors. The phenotype of expanded TIL consisted of CD3− CD56+ NK cells and CD3+ T cells. Tumor-specific reactivity was analyzed for seven samples. TIL expanded from three (43%) tumors were predominantly CD8+ and were reactive against autologous tumor as determined by IFN-gamma ELISA. Expansion of TIL during REP resulted in an average 600-fold increase in cell numbers (range of 61 - 1,774 fold) and led to the depletion of NK cells and an increase of CD3+ T cells.

Conclusions: In this study, we have demonstrated the feasibility of growing tumor-reactive TIL from head and neck tumors. This study raises the potential for the implementation of ACT with TIL for the treatment of head and neck cancer patients.

Citation Format: Luz Nagle, Amy Mackay Weber, MacLean Hall, Matthew Beatty, J. Trad Wadsworth, Caitlin McMullen, Krupal Patel, Kathryn Vorwald, Christine Chung, Shari Pilon-Thomas. Expansion of tumor-specific tumor-infiltrating lymphocytes (TIL) from head and neck tumors [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 2178.