Publications by authors named "Eugene Koay"

Radiation therapy for locally advanced pancreatic cancer (LAPC) continues to be controversial. Advances in both systemic therapy and radiation therapy techniques have changed the landscape of LAPC management in recent years. Clinical outcomes of ablative radiation therapy have been encouraging and randomized clinical trials may clarify the role of radiation therapy for LAPC.

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The primary curative therapies for hepatocellular carcinoma are resection or liver transplantation. For patients requiring downstaging or who are unresectable at presentation, the landscape of local treatment options has vastly changed over the past decades. This change is partly due to the paucity of high-level evidence to guide the selection of liver-directed therapies, where physician preference and treatment patterns have historically resulted in relegating external-beam radiation therapy (EBRT) to a secondary option in the treatment of hepatocellular carcinoma in cases where arterially directed therapies or thermal ablations were not possible.

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: Biliary tract cancers (BTCs) have distinct tumor biology but share a poor prognosis, with a 5-year-survival-rate of 5-19%. Surgical resection is the only potential cure, but recurrences are common. The role of adjuvant radiotherapy (XRT) remains unclear.

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Objective: Estimations of the treatment effect on overall survival (OS) may be influenced by post-progression therapies (PPTs). It is unclear how often OS analyses account for PPT effects. The purpose of this cross-sectional analysis was to determine the prevalence of OS analyses accounting for PPT effects in phase III oncology trials.

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Background: While detection of circulating tumor DNA (ctDNA) weeks after surgery is linked to recurrence for other solid tumors, the optimal time point for ctDNA assessment as a prognostic biomarker following chemoradiation for anal cancer is undefined.

Methods: Patients with stages I-III anal cancer treated with chemoradiation between 12/2020-5/2024 were evaluated for HPV ctDNA status at baseline, at the end of chemoradiation, and during surveillance using a droplet digital HPV ctDNA PCR assay targeting HPV E6 and E7 oncogenes for 13 oncogenic HPV types. Median recurrence-free survival (RFS) according to HPV ctDNA status was estimated via Kaplan-Meier and compared using a log-rank test.

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Multiple randomized trials have suggested that the addition of comprehensive metastasis-directed therapy to best systemic therapy improves disease control and survival among patients with oligometastatic disease, even for histologies with a high propensity for rapid spread. Here, we review the growing literature supporting the oligometastatic paradigm in pancreatic ductal adenocarcinoma. We summarize key details from nascent institutional series and reflect on the recently reported phase II randomized EXTEND trial.

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Radiation therapy manages pancreatic cancer in various settings; however, the proximity of gastrointestinal (GI) luminal organs at risk (OARs) poses challenges to conventional radiation therapy. Proton beam therapy (PBT) may reduce toxicities compared to photon therapy. This consensus statement summarizes PBT's safe and optimal delivery for pancreatic tumors.

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Background: A passive dosimeter framework for the measurement of dose in carbon ion beams has yet to be characterized or implemented for regular use.

Purpose: This work determined the dose calculation correction factors for absorbed dose in thermoluminescent dosimeters (TLDs) in a therapeutic carbon ion beam. TLD could be a useful tool for remote audits, particularly in the context of clinical trials as new protocols are developed for carbon ion radiotherapy.

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Importance: Most patients with locally advanced hepatocellular carcinoma (HCC) recur within the liver following systemic therapy.

Objective: To determine whether stereotactic body radiation therapy (SBRT) improves outcomes in patients with locally advanced HCC compared with sorafenib alone.

Design, Setting, And Participants: This multicenter phase 3 randomized clinical trial randomized patients with HCC 1:1 to sorafenib or SBRT followed by sorafenib, stratified by performance status, liver function, degree of metastases, and macrovascular invasion.

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Importance: Neoadjuvant therapy (NT) is an increasingly used treatment strategy for patients with localized pancreatic ductal adenocarcinoma (PDAC). Little research has been conducted on cancer care delivery during NT, and the standards for optimal delivery of NT have not been defined.

Objective: To develop consensus best practices for delivering NT to patients with localized PDAC.

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Article Synopsis
  • SBRT for abdominal tumors faces challenges like respiratory motion and low tumor contrast, making accurate treatment difficult.
  • Breath-hold treatments using CT-on-rails (CTOR) improve visualization of both tumors and surrounding tissues, helping to better align radiation targets and protect normal tissues.
  • Case studies show that using diagnostic-quality CT guidance allows for precise adjustments in treatment alignment, effectively reducing radiation doses to sensitive organs like the stomach.
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  • - Carbohydrate antigen 19-9 (CA19-9) is a clinically established biomarker for pancreatic ductal adenocarcinoma (PDAC) but is not very effective for early detection, prompting the exploration of circulating miRNAs in plasma as potential early biomarkers.
  • - A study analyzed 2083 miRNAs from patients and healthy controls, identifying a three-miRNA signature (let-7i-5p, miR-130a-3p, and miR-221-3p) that effectively distinguished early-stage PDAC from healthy individuals and chronic pancreatitis, showing improved accuracy when combined with CA19-9.
  • - The miRNA signature demonstrated high predictive accuracy in various stages of the disease and
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Objectives: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal disease that is challenging to detect at an early stage. Biomarkers are needed that can detect PDAC early in the course of disease when interventions lead to the best outcomes. We highlight study design and statistical considerations that inform pancreatic cancer early detection biomarker evaluation.

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Adequate sampling is essential to an accurate pathologic evaluation of pancreatectomy specimens resected for pancreatic ductal adenocarcinoma (PDAC) after neoadjuvant therapy (NAT). However, limited data are available for the association between the sampling and survival in these patients. We examined the association of the entire submission of the tumor (ESOT) and the entire submission of the pancreas (ESOP) with disease-free survival (DFS) and overall survival (OS), as well as their correlations with clinicopathologic features, for 627 patients with PDAC who received NAT and pancreaticoduodenectomy.

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We hypothesized that pre-consult patient education videos can improve patient understanding about their diagnosis, lead to high satisfaction and low distress. In this pilot study, we developed a patient education video curriculum for patients with newly-diagnosed anal cancer. Comprehension of key content was evaluated by comparing pre- and post-test scores.

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Purpose: Increasing data suggest that radiation therapy, particularly ablative radiation therapy, alters the natural history of metastatic disease. For patients with metastatic disease enrolled in prospective trials testing systemic therapy, the use of off-protocol radiation therapy to improve clinical symptoms or extend the duration of study systemic therapy may influence study endpoints. We sought to evaluate how often off-protocol radiation therapy was permitted among systemic therapy phase 3 trials, how often off-protocol radiation therapy is used, and whether off-protocol radiation therapy correlated with study outcomes.

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Article Synopsis
  • The study investigates the effectiveness of radiation therapy (RT) for intrahepatic cholangiocarcinoma (iCCA) and explores a new approach to assess treatment response using quantitative measures rather than traditional size-based methods.
  • By analyzing CT scans from 154 patients, researchers found that changes in viable tumor volume after RT are better indicators of overall survival (OS) compared to standard RECIST criteria, with a notable threshold of a 33% reduction in viable volume signaling optimal treatment response.
  • The findings highlight the potential for personalized RT approaches based on individual tumor characteristics, suggesting that mathematical models derived from CT imaging can improve patient outcomes by identifying optimal treatment protocols.
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  • Circulating tumor DNA (ctDNA) can help doctors detect and treat liver cancer called hepatocellular carcinoma (HCC) without having to do surgery or other invasive tests.!
  • A study looked at ctDNA from 44 HCC patients to see if it could predict how long they would live and how well they would respond to a treatment called nivolumab.!
  • The results showed that certain mutations in ctDNA were linked to shorter or longer survival times, suggesting ctDNA testing could help doctors make better treatment decisions for HCC patients in the future.!
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  • Image segmentation of the liver is crucial for liver cancer treatment planning, but manual methods are impractical due to scale, leading to a shift towards deep learning models for automation.
  • This study focuses on developing a generalizable deep learning model that segments the liver in T1-weighted MR images using three architectures: nnUNet, PocketNet, and Swin UNETR, with data from six different institutions totaling 819 images.
  • The results show that nnUNet and PocketNet achieved high similarity scores in liver segmentation, suggesting they can effectively perform segmentation on a diverse dataset, benefiting both intra- and inter-institutional applications.
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We present a study where predictive mechanistic modeling is combined with deep learning methods to predict individual patient survival probabilities under immune checkpoint inhibitor (ICI) immunotherapy. This hybrid approach enables prediction based on both measures that are calculable from mechanistic models of key mechanisms underlying ICI therapy that may not be directly measurable in the clinic and easily measurable quantities or patient characteristics that are not always readily incorporated into predictive mechanistic models. A deep learning time-to-event predictive model trained on a hybrid mechanistic + clinical data set from 93 patients achieved higher per-patient predictive accuracy based on event-time concordance, Brier score, and negative binomial log-likelihood-based criteria than when trained on only mechanistic model-derived values or only clinical data.

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Disease progression in clinical trials is commonly defined by radiologic measures. However, clinical progression may be more meaningful to patients, may occur even when radiologic criteria for progression are not met, and often requires a change in therapy in clinical practice. The objective of this study was to determine the utilization of clinical progression criteria within progression-based trial endpoints among phase III trials testing systemic therapies for metastatic solid tumors.

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Purpose: The EXTEND trial tested the hypothesis that adding comprehensive metastasis-directed therapy (MDT) to chemotherapy would improve progression-free survival (PFS) over chemotherapy alone among patients with oligometastatic pancreatic ductal adenocarcinoma (PDAC).

Methods: EXTEND (ClinicalTrials.gov identifier: NCT03599765) is a multicenter, phase II basket trial randomly assigning patients with ≤five metastases 1:1 to MDT plus systemic therapy versus systemic therapy.

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Background: Elevated microRNA-155 (miR-155) expression in non-small-cell lung cancer (NSCLC) promotes cisplatin resistance and negatively impacts treatment outcomes. However, miR-155 can also boost anti-tumor immunity by suppressing PD-L1 expression. Therapeutic targeting of miR-155 through its antagonist, anti-miR-155, has proven challenging due to its dual molecular effects.

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