Diagnostic Performance of Artificial Intelligence in Detection of Hepatocellular Carcinoma: A Meta-analysis.

Due to the increasing interest in the use of artificial intelligence (AI) algorithms in hepatocellular carcinoma detection, we performed a systematic review and meta-analysis to pool the data on diagnostic performance metrics of AI and to compare them with clinicians' performance. A search in PubMed and Scopus was performed in January 2024 to find studies that evaluated and/or validated an AI algorithm for the detection of HCC. We performed a meta-analysis to pool the data on the metrics of diagnostic performance. Subgroup analysis based on the modality of imaging and meta-regression based on multiple parameters were performed to find potential sources of heterogeneity. The risk of bias was assessed using Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) and Prediction Model Study Risk of Bias Assessment Tool (PROBAST) reporting guidelines. Out of 3177 studies screened, 44 eligible studies were included. The pooled sensitivity and specificity for internally validated AI algorithms were 84% (95% CI: 81,87) and 92% (95% CI: 90,94), respectively. Externally validated AI algorithms had a pooled sensitivity of 85% (95% CI: 78,89) and specificity of 84% (95% CI: 72,91). When clinicians were internally validated, their pooled sensitivity was 70% (95% CI: 60,78), while their pooled specificity was 85% (95% CI: 77,90). This study implies that AI can perform as a diagnostic supplement for clinicians and radiologists by screening images and highlighting regions of interest, thus improving workflow.

A Real-World Retrospective Analysis of the Management of Advanced Urothelial Carcinoma in Canada.

Locally advanced or metastatic urothelial carcinoma (aUC) presents a significant challenge with high mortality rates. Platinum-based chemotherapy remains the established frontline standard of care, and a switch-maintenance strategy with immunotherapy has now emerged as a new standard for aUC patients without disease progression, following initial platinum therapy. Examining the treatment patterns is imperative, given the evolving therapeutic landscape. In this study, we conducted a retrospective medical chart review of 17 Canadian oncologists treating patients with aUC to assess unmet needs in Canadian aUC patient care. Data from 146 patient charts were analyzed, revealing important clinical insights about the management of aUC. A substantial proportion of patients (53%) presented with de novo metastatic disease, which was possibly influenced by pandemic-related care disruptions. Variability was evident in the cisplatin eligibility criteria, with a majority (70%) of oncologists utilizing a 50 mL/min threshold. Most favored four cycles of platinum-based chemotherapy to spare the bone marrow for future therapies and prevent patient fatigue. Notably, some eligible patients were kept under surveillance rather than receiving maintenance therapy, suggesting a potential gap in awareness regarding evidence-based recommendations. Furthermore, managing treatment-related adverse events was found to be one of the biggest challenges in relation to maintenance immunotherapy. In conclusion, our findings provide the first comprehensive overview of aUC treatment patterns in Canada following the approval of maintenance immunotherapy, offering insights into the decision-making process and underscoring the importance of evidence-based guidelines in aUC patient management.

Impact on costs and outcomes of multi-gene panel testing for advanced solid malignancies: a cost-consequence analysis using linked administrative data.

Background: To date, economic analyses of tissue-based next generation sequencing genomic profiling (NGS) for advanced solid tumors have typically required models with assumptions, with little real-world evidence on overall survival (OS), clinical trial enrollment or end-of-life quality of care. Methods: Cost consequence analysis of NGS testing (555 or 161-gene panels) for advanced solid tumors through the OCTANE clinical trial (NCT02906943). This is a longitudinal, propensity score-matched retrospective cohort study in Ontario, Canada using linked administrative data. Patients enrolled in OCTANE at Princess Margaret Cancer Centre from August 2016 until March 2019 were matched with contemporary patients without large gene panel testing from across Ontario not enrolled in OCTANE. Patients were matched according to 19 patient, disease and treatment variables. Full 2-year follow-up data was available. Sensitivity analyses considered alternative matched cohorts. Main Outcomes were mean per capita costs (2019 Canadian dollars) from a public payer's perspective, OS, clinical trial enrollment and end-of-life quality metrics. Findings: There were 782 OCTANE patients with 782 matched controls. Variables were balanced after matching (standardized difference <0.10). There were higher mean health-care costs with OCTANE ($79,702 vs. $59,550), mainly due to outpatient and specialist visits. Publicly funded drug costs were less with OCTANE ($20,015 vs. $24,465). OCTANE enrollment was not associated with improved OS (restricted mean survival time [standard error]: 1.50 (±0.03) vs. 1.44 (±0.03) years, log-rank p = 0.153), varying by tumor type. In five tumor types with ≥35 OCTANE patients, OS was similar in three (breast, colon, uterus, all p > 0.40), and greater in two (ovary, biliary, both p < 0.05). OCTANE was associated with greater clinical trial enrollment (25.4% vs. 9.5%, p < 0.001) and better end-of-life quality due to less death in hospital (10.2% vs. 16.4%, p = 0.003). Results were robust in sensitivity analysis. Interpretation: We found an increase in healthcare costs associated with multi-gene panel testing for advanced cancer treatment. The impact on OS was not significant, but varied across tumor types. OCTANE was associated with greater trial enrollment, lower publicly funded drug costs and fewer in-hospital deaths suggesting important considerations in determining the value of NGS panel testing for advanced cancers. Funding: T.P H holds a research grant provided by the Ontario Institute for Cancer Research through funding provided by the Government of Ontario (#IA-035 and P.HSR.158) and through funding of the Canadian Network for Learning Healthcare Systems and Cost-Effective 'Omics Innovation (CLEO) via Genome Canada (G05CHS).

Magnitude of effect and sample size justification in trials supporting anti-cancer drug approval by the US Food and Drug Administration.

Approval of drugs is based on randomized trials observing statistically significant superiority of an experimental agent over a standard. Statistical significance results from a combination of effect size and sampling, with larger effect size more likely to translate to population effectiveness. We assess sample size justification in trials supporting cancer drug approvals. We identified US FDA anti-cancer drug approvals for solid tumors from 2015 to 2019. We extracted data on study characteristics, statistical plan, accrual, and outcomes. Observed power (Pobs) was calculated based on completed study characteristics and observed hazard ratio (HRobs). Studies were considered over-sampled if Pobs > expected with HRobs similar or worse than expected or if Pobs was similar to expected with HRobs worse than expected. We explored associations with over-sampling using logistic regression. Of 75 drug approvals (reporting 94 endpoints), 21% (20/94) were over-sampled. Over-sampling was associated with immunotherapy (OR: 5.5; p = 0.04) and associated quantitatively but not statistically with targeted therapy (OR: 3.0), open-label trials (OR: 2.5), and melanoma (OR: 4.6) and lung cancer (OR: 2.17) relative to breast cancer. Most cancer drug approvals are supported by trials with justified sample sizes. Approximately 1 in 5 endpoints are over-sampled; benefit observed may not translate to clinically meaningful real-world outcomes.

Combination of Osimertinib with Concurrent Chemotherapy and Hormonal Therapy for Synchronous NSCLC, Hormone Receptor-Positive Breast Cancer, and Triple-Negative Breast Cancer: Case Report.

Patients presenting with multiple primary malignancies remain a growing challenge for physicians due to a lack of data for generalizable guidelines. Identification of driver mutations in carcinogenesis leads to the development of targeted treatment of many different cancer types, but its combination with other anti-cancer therapy is not well understood. We report a case of a 66-year-old woman who presented with triple-negative breast cancer, multifocal hormone receptor-positive breast cancer, primary epidermal growth factor receptor-mutated lung adenocarcinoma, possible primary lung adenocarcinoma of unspecified mutational status in the contralateral lung, and a solitary metastatic lesion in the brain from one of her primary cancers. She was treated with stereotactic radiosurgery and osimertinib in combination with carboplatin/nab-paclitaxel, doxorubicin/cyclophosphamide, and letrozole, with excellent clinical and radiographical response. We did not observe synergistic toxicity or unexpected adverse events from the treatment. To the best of our knowledge, this is the first report of concurrent osimertinib with these chemotherapy and hormonal therapy agents. As large-scale studies are difficult to conduct for these rare cases requiring exceptional treatment, it is important for physicians to build on the community's shared experience via case reports to better predict efficacy and safety of combining targeted agents with other conventional systemic treatments.

Concurrent dose-finding of a novel cancer drug with and without a second agent.

Introduction: More complex research questions are being posed in early-phase oncology clinical trials, necessitating design strategies tailored to contemporary study objectives. This paper describes the proposed design of a Phase I trial concurrently evaluating the safety of a hematopoietic progenitor kinase-1 inhibitor (Agent A) as a single agent and in combination with an anti-PD-1 agent in patients with advanced malignancies. The study's primary objective was to concurrently determine the maximum tolerated dose (MTD) of Agent A with and without anti-PD-1 therapy among seven possible study dose levels. Methods: Our solution to this challenge was to apply a continual reassessment method shift model to meet the research objectives of the study. Results: The application of this method is described herein, and a simulation study of the design's operating characteristics is conducted. This work was developed through collaboration and mentoring between the authors at the American Association for Cancer Research (AACR) and the American Society of Clinical Oncology (ASCO) annual AACR/ASCO Methods in Clinical Cancer Research Workshop. Conclusions: The aim of this manuscript is to highlight examples of novel design applications as a means of augmenting the implementation of innovative designs in the future and to demonstrate the flexibility of adaptive designs in satisfying modern design conditions. Although the design is presented using an investigation of Agent A with and without anti-PD-1 therapy as an illustrative example, the approach described is not specific to these agents and could be applied to other concurrent monotherapy and combination therapy studies with well-defined binary safety endpoints.

Utilization Trends of Novel Hormonal Agents in Metastatic Castration-Resistant Prostate Cancer in Quebec.

BACKGROUND: The introduction of novel hormonal agents (NHAs) such as abiraterone acetate (ABI) and enzalutamide (ENZ) for metastatic castration-resistant prostate cancer (mCRPC) was an important milestone given their survival benefits, tolerability, and ease of administration relative to taxane chemotherapies. This descriptive study sought to describe the utilization trends of ABI and ENZ in patients with mCRPC in the early years after their approval in the province of Quebec in Canada. METHODS: A retrospective population-based cohort was extracted from Quebec public healthcare administrative databases. The cohort included first-time users of NHAs (ABI or ENZ) from 2011 to 2016. The primary analyses aimed to describe the overall temporal trends (2011-2016) of NHA initiators by chemotherapy status (chemotherapy-naïve versus post-chemotherapy), and prescribing specialty (medical oncology versus urology versus others). RESULTS: The cohort comprised 2183 patients, with 1562 (72%) in the chemotherapy-naïve group and 621 (28%) in the post-chemotherapy group. While the majority of patients were post-chemotherapy NHA initiators in 2012, this proportion decreased over time and accounted for only 13% of NHA initiators by the end of 2016. Medical oncologists were the most frequent prescribers of NHAs (upwards of 60%) throughout 2012 but fell to 45% by the end of 2016. Conversely, the proportion of prescriptions by urologists increased from 22% in 2012 to 42% in 2016. CONCLUSION: Over time, there was an increasing proportion of (1) patients who initiated NHAs without prior chemotherapy treatment, (2) NHA prescribing by urologists, and (3) ENZ users. Taken together, this implies that the introduction of NHAs has altered the management of mCRPC and urologists quickly adopted NHAs into their practice.

Prognostic Value of Programmed Death Ligand-1 Expression in Solid Tumors Irrespective of Immunotherapy Exposure: A Systematic Review and Meta-Analysis.

BACKGROUND: The programmed cell death-1/programmed cell death ligand-1 (PD-L1) pathway, which plays a crucial role in cancer immune surveillance, is the target of several approved immunotherapeutic agents and is used as a predictive biomarker in some solid tumors. However, its use as a prognostic marker (i.e., regardless of therapy used) is not established clearly with available data demonstrating inconsistent prognostic impact of PD-L1 expression in solid tumors. METHODS: We conducted a systematic literature search of electronic databases and identified publications exploring the effect of PD-L1 expression on overall survival and/or disease-free survival. Hazard ratios were pooled in a meta-analysis using generic inverse-variance and random-effects modeling. We used the Deeks method to explore subgroup differences based on disease site, stage of disease, and method of PD-L1 quantification. RESULTS: One hundred and eighty-six studies met the inclusion criteria. Programmed cell death ligand-1 expression was associated with worse overall survival (hazard ratio 1.33, 95% confidence interval 1.26-1.39; p < 0.001). There was significant heterogeneity between disease sites (subgroup p = 0.002) with pancreatic, hepatocellular, and genitourinary cancers associated with the highest magnitude of adverse outcomes. Programmed cell death ligand-1 was also associated with worse overall disease-free survival (hazard ratio 1.19, 95% confidence interval 1.09-1.30; p < 0.001). Stage of disease did not significantly affect the results (subgroup p = 0.52), nor did the method of quantification via immunohistochemistry or messenger RNA (subgroup p = 0.70). CONCLUSIONS: High expression of PD-L1 is associated with worse survival in solid tumors albeit with significant heterogeneity among tumor types. The effect is consistent in early-stage and metastatic disease and is not sensitive to method of PD-L1 quantification. These data can provide additional information for the counseling of patients with cancer about prognosis.

Platinum-based chemotherapy in early-stage triple negative breast cancer: A meta-analysis.

PURPOSE: The addition of platinum agents to anthracycline and taxane-based chemotherapy in early-stage triple negative breast cancer (TNBC) patients improves pathological complete response (pCR). Long-term outcomes, such as disease-free survival (DFS) and overall survival (OS), have not been well-established. METHODS: A systematic literature review identified studies using platinum-based treatment in TNBC patients in the neoadjuvant or adjuvant setting with reportable long-term outcomes. Hazard ratios (HR) from collected data were pooled in a meta-analysis using generic inverse-variance and random effects modeling. Subgroup analyses were conducted based on treatment setting and study design. RESULTS: Fourteen studies comprising 3518 patients met the inclusion criteria. Median follow up was 56.2 months. All studies reported DFS and 9 studies (64%) reported OS. DFS was significantly better in platinum-based treatment (HR 0.71, 95% confidence interval (CI) 0.56-0.89; p = 0.03). However, OS was no different (HR 0.98, 95% CI 0.75-1.27; p = 0.87). There was a non-significant difference between platinum exposure in the adjuvant compared to neoadjuvant setting for both DFS (HR 0.75 vs 0.62, p = 0.43) and for OS (HR 0.90 vs 1.10, p = 0.58). The addition of platinum was associated with more thrombocytopenia and all-grade neuropathy and non-significant increases in neutropenia and grade 3-4 neuropathy. CONCLUSIONS: Platinum-based treatment improves DFS but not OS. The reporting of toxicity was suboptimal, but in general adding platinum increased toxicity. The discordant effect of platinum-based treatment on DFS and OS suggest the potential development of platinum resistance and worse outcomes after recurrence. Platinum-based chemotherapy cannot be recommended in unselected patients with early TNBC.

Efficacy and safety of neoadjuvant immune checkpoint inhibitors in early-stage triple-negative breast cancer: a systematic review and meta-analysis.

PURPOSE: There is uncertainty regarding the role of adding immune checkpoint inhibitors (ICIs) to neoadjuvant chemotherapy (NACT) in early-stage triple-negative breast cancer (TNBC). METHODS: We identified randomized controlled trials (RCTs) comparing ICIs combined with NACT to NACT in early-stage TNBC. Efficacy outcomes included pathological complete response (pCR) and event-free survival (EFS). Toxicity data included any grade 3/4 adverse events (AEs), serious AEs, AEs leading to death, common and meaningful AEs associated with chemotherapy and immune-related AEs. Odds ratio (ORs), hazard ratios (HR) and their respective 95% confidence intervals (CI) for efficacy and toxicity were extracted and pooled in a meta-analysis. Differences in the odds for pCR between programmed death ligand 1 (PD-L1) status and between PD-L1 and PD-1 inhibitors were also assessed. RESULTS: Five RCTs comprising 2,075 patients were analyzed. Compared to NACT alone, combination of ICIs and NACT significantly improved pCR (OR 1.75, 95% CI 1.25-2.47, p = 0.001) and EFS (HR 0.66, 95% CI 0.48-0.91, p = 0.01). Magnitude of effect on pCR was similar between PD-L1-positive and PD-L1-negative tumors (p for the subgroup difference = 0.80) and between PD-L1 and PD-1 inhibitors (p = 0.27). The combination treatment resulted in higher odds of any grade 3/4 AEs (OR 1.31, p = 0.02) and serious AEs (OR 1.84, p = 0.006), with no statistically significant difference in AEs leading to death (OR 1.67, p = 0.51). Higher magnitude of toxicity was observed for immune-related AEs. CONCLUSION: Combination of ICIs and NACT were associated with improved outcome in early-stage TNBC while increasing toxicity significantly. Longer follow-up is desired to better understand the risk and benefit ratio of this combination.

Associations between safety, tolerability, and toxicity and the reporting of health-related quality of life in phase III randomized trials in common solid tumors.

BACKGROUND: Anti-cancer drugs are approved typically on the basis of efficacy and safety as evaluated in phase III randomized trials (RCTs). Health-related quality of life (HRQoL) is a direct measure of patient benefit, but is under-reported. Here we explore associations with reporting of HRQoL data in phase III RCTs in common solid tumors. METHODS: We searched ClinicalTrials.gov to identify phase III RCTs evaluating new drugs in adults with advanced cancers that completed accrual between January 2005 and October 2016. Data on HRQoL, safety, and tolerability comprising treatment-related death, treatment discontinuation and commonly reported grade 3 or 4 adverse events (AEs) were extracted. Associations between these measures and reporting of HRQoL data were explored using logistic regression. RESULTS: Of 377 phase III RCTs identified initially, 143 studies were analysed and comprised 55% positive trials and 90% industry sponsored trials. HRQoL was listed as an endpoint in 59% trials; and of these, only 65% reported HRQoL data. There were higher odds of reporting HRQoL data for positive trials (OR 2.05, P = .04) and trials published in journals with higher impact factor (OR 1.35, P = .01). Reporting of HRQoL was not associated with treatment-related death (OR 1.25, P = .40) or treatment discontinuation (OR 1.12, P = .61), but was positively associated with dyspnea and dermatological adverse events. CONCLUSIONS: HRQoL is reported in only two-thirds of RCTs that describe collecting such data. Reporting of HRQoL is associated with positive trial outcome and higher journal impact factor, but not associated with overall safety and tolerability of anti-cancer drugs.

Evolution in the risk of adverse events of adjuvant endocrine therapy in postmenopausal women with early-stage breast cancer.

BACKGROUND: Adjuvant endocrine therapy is a gold standard in early-stage, hormone receptor positive breast cancer. In postmenopausal women, aromatase inhibitors (AIs) are associated with improved outcome compared to tamoxifen monotherapy. Differences in the toxicity profiles of these drugs are described; however, little is known about whether the risk of adverse events changes over time. METHODS: Sequential reports of large, randomized, adjuvant endocrine therapy trials comparing AIs to tamoxifen were reviewed. Data on pre-specified adverse events were extracted including cardiovascular events, bone fractures, cerebrovascular disease, endometrial cancer, secondary malignancies excluding breast cancer, venous thrombosis and death without recurrence. Odds ratios (ORs) were calculated for each adverse event at each time over the course of follow-up. The change in the ORs for adverse events over time was evaluated using weighted linear regression. RESULTS: Analysis included 21 reports of 7 trials comprising 30,039 patients and reporting outcomes between 28 and 128 months of follow-up. Compared to tamoxifen, AIs use was associated with a significant reduction in the magnitude of increased odds of bone fracture over time (ß = - 0.63, p = 0.013). There was a non-significant decrease in the magnitude of reduced odds of secondary malignancies over time (ß = 0.448, p = 0.094). The differences in other toxicity profiles between AIs and tamoxifen did not change significantly over time. CONCLUSIONS: The increased risk of bone fractures associated with adjuvant AIs falls over time and after discontinuation of treatment. Differences in other toxicities between AIs and tamoxifen do not change significantly over time including a persistently elevated risk of cardiovascular events.

Influence of Competing Risks on Estimates of Recurrence Risk and Breast Cancer-specific Mortality in Analyses of the Early Breast Cancer Trialists Collaborative Group.

Early-stage breast cancer (BC) is a curable disease with many patients dying of causes other than BC. The influence of non-BC death and other competing risks on the interpretation of Kaplan-Meier (KM)-based analyses for BC-specific outcomes are unknown. We searched the Oxford University website to identify all meta-analyses published by the Early Breast Cancer Trialists Collaborative Group (EBCTCG) between 2005 and 2018. The potential influence of competing risks was estimated using a validated multivariable linear model that predicts the difference between KM and cumulative incidence function (CIF) on estimates of BC-specific outcomes. The initial search identified 14 EBCTCG papers, 10 (71%) reported data on BC and competing events. Eight (80%) had a relative difference between KM and the competing risk adjusted estimates exceeding 10%. The median relative difference was 28.4% for local-recurrence; 16.8% for distant-recurrence, and 6.7% for BC-specific mortality. There was a 18.9% relative difference between KM and CIF adjusted analyses beyond 10 years. The use of KM-based methods when competing risks are present biases risk estimates in studies of early BC especially for uncommon outcomes such as local recurrence. The use of CIF to calculate BC-specific outcomes may be preferable in this setting.

Prognostic Value of Lymphocyte-Activation Gene 3 (LAG3) in Cancer: A Meta-Analysis.

Introduction: Therapeutic targeting of inhibitors of the immune response has reached the clinical setting. Inhibitors of the novel receptor LAG3, which negatively regulates T-cell activation, are under investigation. Here we explore the presence and prognostic role of LAG3 in cancer. Methods: A systematic search of electronic databases identified publications exploring the effect of LAG3 on overall survival (OS) and (for early-stage cancers) disease-free survival (DFS). Hazard ratios (HR) were pooled in a meta-analysis using generic inverse-variance and random effect modeling. Subgroup analyses were conducted based on disease site and tumor type. Results: Fifteen studies met the inclusion criteria. LAG3 was associated with better overall survival [HR 0.81, 95% confidence interval (CI) 0.66-0.99; P = 0.04], with subgroup analysis showing no significant differences between disease-site subgroups. The beneficial effect of LAG3 on OS was of greater magnitude in early-stage malignancies (HR 0.73, 95% CI 0.60-0.88) than in the metastatic setting (HR 1.20, 95% CI 0.70-2.05), but this difference was not statistically significant (subgroup difference p = 0.18). LAG3 did not have a significant association with DFS [HR 1.02, 95% confidence interval (CI) 0.77-1.37; P = 0.87], with subgroup analysis showing worse DFS in patients with lymphoma and improved DFS in those with breast cancer. Conclusions: High expression of LAG3 is associated with favorable overall survival in several solid tumors. A trend toward an association in early-stage disease suggests the importance of immune surveillance in this setting.

Undisclosed financial conflicts of interest among authors of American Society of Clinical Oncology clinical practice guidelines.

BACKGROUND: Clinical practice guidelines (CPGs) are crucial to the practice of evidence-based medicine. Declared author financial conflicts of interest (FCOIs) are common in CPGs and have been associated with endorsement of treatment. Less is known about undeclared FCOIs. METHODS: The American Society of Clinical Oncology (ASCO) website was searched to identify all CPGs for systemic therapy published between August 2013 and June 2018. Data on self-reported author FCOIs and funding sources were extracted. The Open Payments database was then searched to identify compensation to CPG authors. Concordance between declared and undeclared but verified FCOIs was assessed with Cohen's κ. RESULTS: For 26 CPGs, 314 nonduplicate authors were identified; 184 of these authors (59%) disclosed FCOIs. Among the remaining 130 authors, data in Open Payments were unavailable for 71 authors (non-US residents or authors affiliated with a nonprofit organization). Among the 59 authors who declared no FCOIs and for whom Open Payments data were available, 55 (93%) had received payment from industry. The κ value for agreement between disclosed and verified FCOIs was 0.092. Among the 243 authors with FCOIs verifiable via Open Payments, 239 (98%) received payment from industry. Thirty-four authors (62%) received more than $1000 in nonresearch funding, and 19 (35%) received more than $5000. Among the 52 first and last authors, 44 (85%) received payment from industry; 14 of these payments (32%) were not declared. CONCLUSIONS: FCOIs among authors of ASCO CPGs are common and are not disclosed by a substantial proportion of authors with Open Payments data. Improved transparency of FCOIs should become standard practice among CPG authors. Professional societies and journal editors need to create a mechanism to verify self-reported FCOIs.

Prognostic value of receptor tyrosine kinase-like orphan receptor (ROR) family in cancer: A meta-analysis.

INTRODUCTION: Identification of membrane proteins expressed exclusively on tumor cells is a goal for cancer drug development. The receptor tyrosine kinase-like orphan receptor type 1 and 2 (ROR1/2), are type-I transmembrane proteins expressed in cancer but not in adult normal tissue. Here, we explore the prognostic role ROR1/2 expression on patient outcome. METHODS: A systematic search of electronic databases identified publications exploring the effect of ROR1/2 on overall survival (OS). Hazard ratios (HR) from collected data were pooled in a meta-analysis using generic inverse-variance and random effects modeling. Subgroup analyses were conducted based on disease site or tumor type. RESULTS: Twenty five studies met the inclusion criteria. ROR1 was associated with worse overall survival (HR 2.13, 95% confidence interval (CI) 1.62-2.80; P < 0.001) with subgroup analysis showing the strongest association between ROR1 and OS was in lung cancer. There was no significant difference between solid tumors and hematological malignancies (HR 2.15, 95% CI 1.52-3.06 vs. HR 2.02, 95% CI 1.46-2.84; subgroup difference P = 0.80). ROR2 was also associated with worse OS (HR 1.84, 95% CI 1.43-2.38; P < 0.001). There was no significant difference between disease sites although the highest association seen was in head and neck cancers (HR 3.19, 95% CI 1.13-8.97) and the lowest in gynecological cancers (HR 1.19, 95% CI 0.71-2.00; subgroup difference P = 0.10). CONCLUSIONS: ROR1 and ROR2 expression is associated with adverse outcome in several tumors. ROR1/2 warrants study as a target for developmental therapeutics.

The Impact of Big Data Research on Practice, Policy, and Cancer Care.

The concept of "big data" research-the aggregation and analysis of biologic, clinical, administrative, and other data sources to drive new advances in biomedical knowledge-has been embraced by the cancer research enterprise. Although much of the conversation has concentrated on the amalgamation of basic biologic data (e.g., genomics, metabolomics, tumor tissue), new opportunities to extend potential contributions of big data to clinical practice and policy abound. This article examines these opportunities through discussion of three major data sources: aggregated clinical trial data, administrative data (including insurance claims data), and data from electronic health records. We will discuss the benefits of data use to answer key oncology practice and policy research questions, along with limitations inherent in these complex data sources. Finally, the article will discuss overarching themes across data types and offer next steps for the research, practice, and policy communities. The use of multiple sources of big data has the promise of improving knowledge and providing more accurate data for clinicians and policy decision makers. In the future, optimization of machine learning may allow for current limitations of big data analyses to be attenuated, thereby resulting in improved patient care and outcomes.

Mindfulness-Based Laboratory Reduction: Reducing Utilization Through Trainee-Led Daily 'Time Outs'.

BACKGROUND: Overuse of laboratory investigations is widely prevalent in hospitalized patients, leads to discomfort, and increases direct and indirect costs. OBJECTIVE: We implemented a simple, inexpensive, mindfulness strategy on our inpatient medical clinical teaching unit to reduce unnecessary laboratory orders through education, a forcing function, and daily structured laboratory "time outs." METHODS: On a 26-bed unit in an academic hospital center, the per-period laboratory costs per patient were compared pre- and postintervention using segmented regression analysis of an interrupted time series. RESULTS: The average cost per admitted patient decreased from $117 to $66, with an estimated savings of $50,657 over 985 admissions. After adjusting for fiscal period and the presence of our intervention, there was a significant reduction in the per-patient number of total tests, complete blood counts, and electrolyte panels performed (P <.001 for all level and time trend changes). CONCLUSION: This trainee-designed and -led intervention, centered around structured, mindfulness-based laboratory test ordering, was successful at decreasing the overuse of common daily blood work in hospitalized patients.

Pilot study investigating the prognostic significance of thymidine phosphorylase expression in patients with metastatic breast cancer: a single institution retrospective analysis.

BACKGROUND: The thymidine phosphorylase (TP) enzyme is expressed in higher levels in cancer tissue when compared with normal tissue. It is involved in the intratumoral activation of widely prescribed pyrimidine-derived antimetabolites such as 5'-deoxy-5-fluorouridine and capecitabine (Xeloda(®)). The purpose of this study was to determine the clinical correlation between TP expression in tumor tissue and the clinical outcome of capecitabine-based therapy in patients with locally advanced (stage III) or metastatic breast cancer (stage IV). METHODS: The following variables were analyzed as potential determinants of benefit from a capecitabine-based therapy: TP expression, estrogen receptor (ER) and progesterone receptor (PR) status, human epidermal growth factor receptor-2 status, and Ki67 status. This was accomplished by immunohistochemical analysis of paraffin-embedded cancer tissues from 18 patients with breast cancer treated with at least one cycle of capecitabine. Clinical outcome was measured as time to progression. RESULTS: TP staining intensities in both the invasive and in situ components in patients with lobular and ductal carcinomas were reported. Higher levels of TP in the invasive component were expressed in ER-negative tumors when compared with ER-positive tumors (P<0.05). The ER-positive group expressing lower levels of TP had a median time to progression of 13 months compared with the ER-negative group expressing higher levels of TP which had a median time to progression of 7.5 months (P=0.14). CONCLUSION: Patients with ER-positive tumors expressing lower levels of TP exhibit a longer time to progression when compared with patients with ER-negative tumors. Consequently, tumor TP expression does not seem to predict the outcome of capecitabine-based chemotherapy.