Personalized Minimal Effective Concentration Therapy.

It has been recognized for literally centuries that patients should be given only the amount of medication necessary to treat disease(s) or relieve symptoms. It is also well known that this amount can vary greatly between patients or even over time in the same patient. The ability to identify this amount, that is, to "personalize" dosing, requires a reliable measure of a patient's response to treatment. The development of analytical methods for the accurate measurement of pharmacologically meaningful drug concentrations in physiologic fluids, combined with mathematical methods for reliable prediction of how dosing changes affect these concentrations, has led to the development of therapeutic drug management (TDM) for more effective individualization of dosing. Using TDM, clinicians modify dosing to achieve concentrations or exposures (ie, AUC) found to be effective in patients with similar clinical attributes and conditions. These concentrations, called therapeutic (or target) concentrations or exposure ranges (TRs), are specific to both disease/condition and patient population. TDM is routinely used by many clinicians to adjust dosing of a wide range of medications for maximal efficacy and limited toxicity, thereby improving clinical outcomes. Failure to properly perform TDM or to appreciate the limitations of TDM have, however, contributed to the delayed acceptance of TDM by clinicians. This Commentary briefly discusses the limitations and the benefits of TR-guided TDM, and then discusses immunosuppressant drugs and anticancer medications as examples of drugs that require clinicians to change their prescribing practices from giving all patients the same or maximal tolerated doses, to instead adjusting individual doses to achieve minimal effective concentrations identified using circulating tumor- or graft-derived DNA or copy number instability rather than published TRs.

Donor-Derived Cell-free DNA for Personalized Immunosuppression in Renal Transplantation.

BACKGROUND: The long-term outcomes of solid organ transplantation remain suboptimal. Therefore, appropriate biomarkers are needed in addition to immunosuppressive drugs and other traditional approaches for graft monitoring to achieve personalized immunosuppression and reduce premature graft loss. METHODS: Donor-derived cell-free DNA (dd-cfDNA) is a minimally invasive biomarker of cell death due to graft injury. It can be quantified using droplet digital polymerase chain reaction and next-generation sequencing. Fractional dd-cfDNA determination can be affected by changes in recipient cfDNA, such as those caused by leukopenia or infection, leading to false-positive or false-negative results, respectively. Absolute quantification of dd-cfDNA helps in overcoming this limitation. RESULTS: Overall, there is sufficient evidence of the clinical validity of dd-cfDNA. It detects rejection episodes early at an actionable stage and reflects the severity of graft injury without being rejection-specific. Owing to its high negative predictive value, dd-cfDNA is very useful for ruling out graft injury. Dd-cfDNA complements histological findings and can help in avoiding unnecessary biopsies. It indicates a response to rejection treatment and detects underimmunosuppression. CONCLUSIONS: Monitoring changes in dd-cfDNA over time may be helpful in adapting immunosuppression to prevent graft rejection. Moreover, serial dd-cfDNA determination may increase the effectiveness of transplant recipient surveillance and facilitate personalized immunosuppression when combined with other relevant clinical and diagnostic findings.

Donor-derived cell-free DNA as a diagnostic tool in transplantation.

There is a need to improve personalized immunosuppression in organ transplantation to reduce premature graft loss. Biomarkers are needed to better detect rejection, asymptomatic graft injury, and under-immunosuppression. Assessment of minimal necessary exposure to guide tapering and prevent immune activation is also important. There is robust clinical evidence from a large number of published studies supporting the role of dd-cfDNA for monitoring graft integrity and detection or exclusion of rejection. Dd-cfDNA indicates graft cell death without being rejection specific. It can be determined in plasma through droplet digital PCR using preselected SNPs or next generation sequencing. Changes in recipient cfDNA (e.g., by infection) can affect the results of dd-cfDNA fractional determination. This limitation can be overcome using absolute dd-cfDNA quantification. The combination of fractional and absolute determination including total cfDNA is recommended for meaningful interpretation of the results. The value proposition for the patient includes earlier transplant injury detection and intervention, less full blown rejection risk, an alternative to invasive biopsies, and personalized immunosuppression with potential for improved long-term outcome. Transplant physicians benefit from better immunosuppressive guidance and having an alternative when biopsies are refused or contraindicated. Further advantages are improved biopsy interpretation, less trial and error changes in immunosuppression, and less time dealing with complications. The laboratory medicine specialist can provide more effective services. Hospital management and insurance companies could benefit from more cost-effective surveillance of transplant recipients. Potential cost savings would result from fewer biopsies as a result of the tests' high negative predictive value, fewer re-transplantations, and less organ failure with return to dialysis. A pathway to implementation and metrics is suggested to measure the effectiveness of dd-cfDNA testing.

Acetaminophen and ibuprofen in the treatment of pediatric fever: a narrative review.

OBJECTIVE: A narrative review of randomized, blinded, controlled studies assessing the antipyretic effect of ibuprofen versus acetaminophen or combined or alternating treatment in children was conducted. METHODS: Searches of the PubMed and Embase literature databases were conducted to identify relevant articles. Selected articles were limited to studies published in English that investigated OTC oral tablet and syrup formulations of acetaminophen and ibuprofen; there were no publication date limits. Open-label studies, nonrandomized studies, and those evaluating intravenous or suppository formulations of acetaminophen or ibuprofen were excluded. Variations in designs, endpoints, methods, and patient populations precluded our ability to conduct a formal systematic review. RESULTS: At physician-directed dosing (acetaminophen 15 mg/kg vs ibuprofen 10 mg/kg), no significant differences in antipyretic effects from 0‒6 h and between 0‒6, ‒12, ‒24, or ‒48 h, with single or multiple-doses, respectively, were observed. Tolerability profiles at physician dosing were similar. In 14 over-the-counter dose comparisons (acetaminophen, 10-15 mg/kg; ibuprofen, 2.5-10 mg/kg), antipyresis favored ibuprofen in 6, was similar between groups in 7, and favored acetaminophen (15 mg/kg vs ibuprofen 5 mg/kg) in 1 comparison. Both medications were well tolerated. Efficacy favored combination over individual components in 3 of 4 studies; alternating use results were mixed. All combination or alternating treatments were well tolerated. CONCLUSIONS: Antipyretic effects of ibuprofen and acetaminophen are similar at physician-directed doses; ibuprofen may be modestly superior at over-the-counter doses.

Liquid biopsies: donor-derived cell-free DNA for the detection of kidney allograft injury.

In kidney transplantation, the use of minimally invasive damage biomarkers that are more sensitive and specific than plasma creatinine will be crucial to enable early, actionable detection or exclusion of structural kidney damage due to acute or chronic rejection. Donor-derived cell-free DNA (dd-cfDNA), which can be quantified, for example, through next-generation sequencing, droplet digital PCR and quantitative PCR, is a candidate biomarker with great potential for enabling comprehensive monitoring of allograft injury. dd-cfDNA has a favourable overall diagnostic performance for the detection of rejection and its high negative predictive value might be especially useful for avoiding unnecessary biopsies. Elevated dd-cfDNA levels have been shown to be detectable before graft injury can be clinically identified using current diagnostic methods. Moreover, dd-cfDNA falls rapidly to baseline levels after successful treatment for rejection owing to its short half-life. dd-cfDNA can detect graft injury caused by immune activation owing to insufficient immunosuppression and might therefore also help guide immunosuppression dosing. The fractional abundance of dd-cfDNA can be affected by changes in the recipient cfDNA (for example, due to infection or physical exercise) but the use of absolute quantification of dd-cfDNA overcomes this limitation. Serial dd-cfDNA determinations might therefore facilitate cost-effective personalized clinical management of kidney transplant recipients to reduce premature graft loss.

Time-Dependent Apparent Increase in dd-cfDNA Percentage in Clinically Stable Patients Between One and Five Years Following Kidney Transplantation.

BACKGROUND: Donor-derived cell-free DNA (dd-cfDNA) is reportedly a valuable tool for graft surveillance following kidney transplantation (KTx). Possible changes in dd-cfDNA(%) reference values over time have not been evaluated. For long-term monitoring after KTx, changes in host cfDNA might represent a biasing factor in dd-cfDNA(%) determinations. METHODS: Plasma samples were obtained (n = 929) 12-60 months after engraftment in a cross-sectional cohort of 303 clinically stable KTx recipients. Total cfDNA(copies/mL), dd-cfDNA(%), and dd-cfDNA(copies/mL) were determined using droplet-digital PCR. Stability of threshold values in these stable KTx recipients over time was assessed by 80th, 85th, and 90th quantile regression. RESULTS: Upper percentiles of total cfDNA showed a significant decline of -1902, -3589, and -4753 cp/mL/log(month) (P = 0.014, <0.001, and 0.017, respectively), resulting in increasing dd-cfDNA(%) percentiles by 0.25, 0.46, and 0.72%/log(month) (P = 0.04, 0.001, and 0.002, respectively), with doubling of the 85th percentile value by 5 years. In contrast, dd-cfDNA(cp/mL) was stable during the observation period (P = 0.52, 0.29, and 0.39). In parallel increasing white blood cell counts and decreasing tacrolimus concentrations over time were observed. After 5 years, the median total cfDNA was still 1.6-fold (P < 0.001) higher in KTx recipients than in healthy controls (n = 135) and 1.4-fold (P < 0.001) higher than patients with other medical conditions (n = 364). CONCLUSIONS: The time-dependent decrease of host cfDNA resulted in an apparent increase of dd-cfDNA fraction in stable KTx patients. For long-term surveillance, measurement of absolute dd-cfDNA concentrations appears to be superior to percentages to minimize false positive results.

Donor-Derived Cell-Free DNA Testing in Solid Organ Transplantation: A Value Proposition.

BACKGROUND: There is a need to improve personalized immunosuppression in organ transplantation to reduce premature graft loss. More efficient biomarkers are needed to better detect rejection, asymptomatic graft injury, and under-immunosuppression. Assessment of minimal necessary exposure to guide tapering and to prevent immune activation is also important. Donor-derived cell-free DNA (dd-cfDNA) has become available for comprehensive monitoring of allograft integrity. A value proposition concept was applied to assess the potential benefits of dd-cfDNA to stakeholders (patient, transplant physician, laboratory medicine specialist, hospital management, insurance companies) involved in solid organ transplantation care. CONTENT: There is robust clinical evidence from more than 48 published studies supporting the role of dd-cfDNA for monitoring graft integrity and detection or exclusion of rejection. The value proposition framework was used to evaluate published key evidence regarding clinical validity, economic implications, and limitations of this approach. It has been shown that dd-cfDNA testing is essential for guiding earlier transplant injury intervention with potential for improved long-term outcome. SUMMARY: Monitoring dd-cfDNA offers a rapid and reproducible method to detect graft injuries at an early actionable stage without protocol biopsies and allows for more effective personalized immunosuppression. The appropriate use of dd-cfDNA testing can provide both clinical and economic benefits to all transplantation stakeholders.

From Research to the Bedside: Challenges for Pediatric Academic Researchers.

BACKGROUND: Although improving, development of drugs and devices for children is still less effective than for adults. Pediatric academicians play an important role in the bench-to-bedside research process, but much remains to be done to improve their contributions. OBJECTIVE: To provide a non-comprehensive review of selected literature based on my own personal experience as a U.S. based academic researcher who has spent over 4 decades doing pediatric drug and device development. METHODS: This commentary presents a summary of a talk given at a recent pediatric drug development conference. The observations and conclusions reached were based on the author's (largely US) experience and review of past history, the role of academicians in this process, some successful models of public-private collaboration, available funding, and barriers that remain to be overcome. RESULTS: Pediatric-specific legislation and more available funding have increased participation from and successes of US academicians in the pediatric drug and device development process. Incentive based public-private collaborations have been particularly successful. However, academicians still face both attitude and practical barriers to success. CONCLUSIONS: Changes are needed if academicians are to maximize their involvement in pediatric drug and device development.

Plasma EGFR mutation testing in non-small cell lung cancer: A value proposition.

Genomics-driven precision medicine using targeted therapies requires advanced molecular diagnostic tests. Decisions about the use and reimbursement for such tests are increasingly being made on the basis of more outcome-based and value-based approaches. The value proposition concept is a tool to assess the benefits of laboratory testing to each stakeholder of the care pathway with respect to outcomes. This concept was applied to the use of noninvasive plasma epidermal growth factor receptor (EGFR) mutation testing in patients with advanced or metastatic non-small cell lung cancer (NSCLC) to guide treatment with EGFR tyrosine kinase inhibitors (TKIs). Using the value proposition framework, we evaluated published key evidence regarding clinical validity, economic implications, and limitations of this approach. It has been shown that plasma EGFR mutation testing is essential for guiding clinical decisions regarding prediction of eligibility of individual patients for TKI treatment, real-time monitoring, or adjustment of treatment regimens and tracking resistance. The appropriate use of plasma EGFR mutation testing has been shown to deliver both clinical and economic benefits to stakeholders across the entire care pathway; especially in clinical situations where biopsy material is inadequate or unavailable and where it leads to fewer tissue biopsies.

Absolute quantification of donor-derived cell-free DNA as a marker of rejection and graft injury in kidney transplantation: Results from a prospective observational study.

Donor-derived cell-free DNA (dd-cfDNA) is a noninvasive biomarker for comprehensive monitoring of allograft injury and rejection in kidney transplantation (KTx). dd-cfDNA quantification of copies/mL plasma (dd-cfDNA[cp/mL]) was compared to dd-cfDNA fraction (dd-cfDNA[%]) at prespecified visits in 189 patients over 1 year post KTx. In patients (N = 15, n = 22 samples) with biopsy-proven rejection (BPR), median dd-cfDNA(cp/mL) was 3.3-fold and median dd-cfDNA(%) 2.0-fold higher (82 cp/mL; 0.57%, respectively) than medians in Stable Phase patients (N = 83, n = 408) without rejection (25 cp/mL; 0.29%). Results for acute tubular necrosis (ATN) were not significantly different from those with biopsy-proven rejection (BPR). dd-cfDNA identified unnecessary biopsies triggered by a rise in plasma creatinine. Receiver operating characteristic (ROC) analysis showed superior performance (P = .02) of measuring dd-cfDNA(cp/mL) (AUC = 0.83) compared to dd-cfDNA(%) (area under the curve [AUC] = 0.73). Diagnostic odds ratios were 7.31 for dd-cfDNA(cp/mL), and 6.02 for dd-cfDNA(%) at thresholds of 52 cp/mL and 0.43%, respectively. Plasma creatinine showed a low correlation (r = 0.37) with dd-cfDNA(cp/mL). In a patient subset (N = 24) there was a significantly higher rate of patients with elevated dd-cfDNA(cp/mL) with lower tacrolimus levels (<8 µg/L) compared to the group with higher tacrolimus concentrations (P = .0036) suggesting that dd-cfDNA may detect inadequate immunosuppression resulting in subclinical graft damage. Absolute dd-cfDNA(cp/mL) allowed for better discrimination than dd-cfDNA(%) of KTx patients with BPR and is useful to avoid unnecessary biopsies.

Circulating Cell-Free DNA-Diagnostic and Prognostic Applications in Personalized Cancer Therapy.

Genomic analyses in oncologic care allow for the development of more precise clinical laboratory tests that will be critical for personalized pharmacotherapy. Traditional biopsy-based approaches are limited by the availability of sequential tissue specimens to detect resistance. Blood-based genomic profiling ("liquid biopsy") is useful for longitudinal monitoring of tumor genomes and can complement biopsies. Tumor-associated mutations can be identified in cell-free tumor DNA (ctDNA) from patient blood samples and used for monitoring disease activity. The US Food and Drug Administration approved a liquid biopsy test for EGFR-activating mutations in patients with non-small-cell lung cancer as a companion diagnostic for therapy selection. ctDNA also allows for the identification of mutations selected by treatment such as EGFR T790M in non-small-cell lung cancer. ctDNA can also detect mutations such as KRAS G12V in colorectal cancer and BRAF V600E/V600K in melanoma. Chromosomal aberration pattern analysis by low-coverage whole genome sequencing is a new, broader approach. Genomic imbalances detected in cell-free DNA (cfDNA) can be used to compute a copy number instability (CNI) score. In clinical studies, it was demonstrated that the change in CNI score can serve as an early predictor of therapeutic response to chemotherapy/immunotherapy of many cancer types. In multivariable models, it could be shown that the CNI score was superior to clinical parameters for prediction of overall survival in patients with head and neck cancer. There is emerging evidence for the clinical validity of ctDNA testing regarding identification of candidates for targeted therapies, prediction of therapeutic response, early detection of recurrence, resistance mutation detection, measuring genetic heterogeneity, tumor burden monitoring, and risk stratification. Improvement of sensitivity to detect tumors at very early stages is difficult due to insufficient mutant DNA fraction of ≤0.01%. Further developments will include validation in prospective multicenter interventional outcome studies and the development of digital platforms to integrate diagnostic data.

Cell-Free Plasma DNA for Disease Stratification and Prognosis in Head and Neck Cancer.

BACKGROUND: Clinicians face many challenges in disease stratification and outcome prediction in head and neck squamous cancer cell (HNSCC) patients. Given the limitations of currently used clinical scoring, repetitive biopsies, and imaging techniques, liquid biopsy approaches may provide valuable additional diagnostic and prognostic information. METHODS: A noninterventional, single-center observational study was performed with clinical data and plasma samples from HNSCC patients. Cell-free tumor DNA-derived copy number aberrations (CNAs) were determined in 116 patients by low-coverage next-generation sequencing (NGS). Significant CNAs were combined in a genome-wide copy number instability score (CNI), which was evaluated with respect to conventional clinical staging and patient outcome. RESULTS: Receiver-operating characteristic (ROC) curve analysis comparing the presurgery CNI in patients (n = 103) with that in tumor-free controls (n = 142) yielded an area under the ROC curve of 87.2% (95% CI, 79.4%-93.3%). At a specificity of 95%, the sensitivity to detect tumors varied between 46% (pT1) and 94% (pT4). A CNI above the median (i.e., >72) had a positive predictive value of 90% (95% CI, 79%-96%) for lymph node involvement (LNI), while the negative predictive value was 57% (95% CI, 43%-70%). For a CNI >72, overall survival (OS) was worse (hazard ratio, 4.89; 95% CI, 1.39-17.17; P = 0.01) with 62% and 90% survivors 3 years after surgery for a CNI >72 and ≤72, respectively. In multivariable models, the CNI was a superior predictor of OS compared to established disease features, including LNI. CONCLUSIONS: The CNI may assist in predicting LNI and prognosis in HNSCC with direct therapeutic implications concerning the need for neck dissection or more aggressive treatment.

Diagnostic value of alpha-1-fetoprotein (AFP) as a biomarker for hepatocellular carcinoma recurrence after liver transplantation.

BACKGROUND: Alpha-1-fetoprotein (AFP) is used to monitor progression, evaluate response to therapy and predict recurrence of hepatocellular carcinoma (HCC) in liver transplantation (LTx) patients. To date, the diagnostic value of serum AFP determinations for detecting tumor recurrence in HCC patients after LTx is unclear. OBJECTIVE: A retrospective, single-center, cross-sectional, non-interventional study was performed with the objective of determining post-transplant cut-off AFP values for detecting HCC recurrence post LTx. METHODS: Using receiver operating characteristic (ROC) analyses, post-transplant serum AFP values were evaluated against HCC recurrences in 63 HCC patients who had LTx between November 1995 and December 2011 at the University Medical Center Göttingen (UMG). Optimal and application-independent cut points for predicting tumor recurrence at 1, 3, and 5years after LTx were determined. RESULTS: Post-LTx serum AFP was found to represent an independent risk factor (predictor) for HCC relapse. Post-operative AFP cut-off values of 7µg/l, 6µg/l, and 6µg/l, respectively, were determined to be optimal at 1, 3, and 5years after LTx respectively for predicting a HCC relapse. Using these cut-off values, patients were correctly classified as relapse-positive with a diagnostic sensitivity of 79%, 81%, and 77%, and as relapse-free with a specificity of 82%, 79%, and 69%. The diagnostic accuracy measured by area under the curve (AUC) values ranged from 0.813 to 0.886. However, a limitation is that at a clinically relevant specificity of ≥95%, the analyses showed sensitivity values of only 50%, 52%, and 50%, respectively. CONCLUSION: Post-transplant serum AFP may have diagnostic value to detect HCC recurrence after LTx.

Do Paediatric Investigation Plans (PIPs) Advance Paediatric Healthcare?

Since 2007, new drugs need a paediatric investigation plan (PIP) for EU registration. The PIPs' justifications can be traced back to concerns expressed by Shirkey that label warnings against paediatric use made children "therapeutic orphans", and the American Academy of Pediatrics' claim that all children differ considerably from adults. US legislation first encouraged, then also required, separate, adult-style safety and efficacy studies in all paediatric subpopulations. This triggered paediatric regulatory studies by the pharmaceutical industry. There were also negative outcomes, as a result of using the legal definition of childhood as a medical/physiological term. The "therapeutic orphans" concept became dogma that supported/expanded adult-style regulatory testing into all age groups even when poorly justified in adolescents or where other methods are available to generate needed data. PIPs are especially problematic because they lack the limitations imposed on the Food and Drug Administration's (FDA's) regulatory actions and more practical approaches used in the USA. Many PIP studies are medically senseless or even questionable and/or unfeasible with poor risk/benefit ratios. For example, physiologically mature adolescents have been exposed to treatments and doses known to be suboptimal in adults. Unfeasible PIP studies in rare diseases may harm patients by preventing their participation in more beneficence-driven studies. PIP-required studies can prevent effective treatment of allergic rhinitis during years of placebo treatment, exposing minors to the risk of disease progression to asthma. The PIP system should be revised; more should be done by key players, including institutional review boards/ethics committees, to ensure that all paediatric clinical studies are medically justified, rather than legislation driven, and can produce scientifically valid results.

Using circulating cell-free DNA to monitor personalized cancer therapy.

High-quality genomic analysis is critical for personalized pharmacotherapy in patients with cancer. Tumor-specific genomic alterations can be identified in cell-free DNA (cfDNA) from patient blood samples and can complement biopsies for real-time molecular monitoring of treatment, detection of recurrence, and tracking resistance. cfDNA can be especially useful when tumor tissue is unavailable or insufficient for testing. For blood-based genomic profiling, next-generation sequencing (NGS) and droplet digital PCR (ddPCR) have been successfully applied. The US Food and Drug Administration (FDA) recently approved the first such "liquid biopsy" test for EGFR mutations in patients with non-small cell lung cancer (NSCLC). Such non-invasive methods allow for the identification of specific resistance mutations selected by treatment, such as EGFR T790M, in patients with NSCLC treated with gefitinib. Chromosomal aberration pattern analysis by low coverage whole genome sequencing is a more universal approach based on genomic instability. Gains and losses of chromosomal regions have been detected in plasma tumor-specific cfDNA as copy number aberrations and can be used to compute a genomic copy number instability (CNI) score of cfDNA. A specific CNI index obtained by massive parallel sequencing discriminated those patients with prostate cancer from both healthy controls and men with benign prostatic disease. Furthermore, androgen receptor gene aberrations in cfDNA were associated with therapeutic resistance in metastatic castration resistant prostate cancer. Change in CNI score has been shown to serve as an early predictor of response to standard chemotherapy for various other cancer types (e.g. NSCLC, colorectal cancer, pancreatic ductal adenocarcinomas). CNI scores have also been shown to predict therapeutic responses to immunotherapy. Serial genomic profiling can detect resistance mutations up to 16 weeks before radiographic progression. There is a potential for cost savings when ineffective use of expensive new anticancer drugs is avoided or halted. Challenges for routine implementation of liquid biopsy tests include the necessity of specialized personnel, instrumentation, and software, as well as further development of quality management (e.g. external quality control). Validation of blood-based tumor genomic profiling in additional multicenter outcome studies is necessary; however, cfDNA monitoring can provide clinically important actionable information for precision oncology approaches.