| Literature DB >> 33262945 |
Long Dao1, Dristhi Ragoonanan1, Sofia Yi1, Rita Swinford2, Demetrios Petropoulos1, Kris M Mahadeo1, Shulin Li1.
Abstract
Pediatric organ failure and transplant populations face significant risks of morbidity and mortality. The risk of organ failure itself may be disproportionately higher among pediatric oncology patients, as cancer may originate within and/or metastasize to organs and adversely affect their function. Additionally, cancer directed therapies are frequently toxic to organs and may contribute to failure. Recent reports suggest that nearly half of providers find it difficult to provide prognostic information regarding organ failure due to unknown disease trajectories. Unfortunately, there is a lack of uniform methodology in detecting the early symptoms of organ failure, which may delay diagnosis, initiation of treatment and hinder prognostic planning. There remains a wide array of outstanding scientific questions regarding organ failure in pediatrics but emerging data may change the landscape of prognostication. Liquid biopsy, in which disease biomarkers are detected in bodily fluids, offers a noninvasive alternative to tissue biopsy and may improve prompt detection of organ failure and prognostication. Here, we review potential liquid biopsy biomarkers for organ failure, which may be particularly useful among pediatric oncology patients. We synthesized information from publications obtained on PubMed, Google Scholar, clinicaltrials.gov, and Web of Science and categorized our findings based on the type of biomarker used to detect organ failure. We highlight the advantages and disadvantages specific to each type of organ failure biomarker. While much work needs to be done to advance this field and validate its applicability to pediatric cancer patients facing critical care complications, herein, we highlight promising areas for future discovery.Entities:
Keywords: biomarkers; diagnostics; liquid biopsy; oncology; organ failure
Year: 2020 PMID: 33262945 PMCID: PMC7686565 DOI: 10.3389/fonc.2020.579219
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Diagnostic Criteria for Organ Failure (8–15).
| Organ | Laboratory Test | Clinical Parameter | Grading System | Prognostic Scoring System |
|---|---|---|---|---|
| Heart ( | NT-pro BNP | Exercise Tolerance | NYHA-functional classification based on clinical parameters | |
| Lung | paO2
| None | ||
| Liver ( | ALT | MELD(based on bilirubin, creatinine, INR) | ||
| Kidney ( | Creatinine | Urine output | KDIGO | |
| Multiorgan ( | Creatinine | GCS | SOFA |
NYHA, New York Heart Association; paO2, arterial partial pressure of oxygen; paCO2, arterial partial pressure of carbon dioxide; ALT, alaninine aminotransferase; AST, aspartate aminotransferase (changed order); MELD, model for end-stage liver disease; PELD, pediatric model for end-stage liver disease; KDIGO, Kidney Disease Improving Global Outcomes; GCS, Glasgow Coma Scale; SOFA, Sequential Organ Failure Assessment; pSOFA, Pediatric Sequential Organ Failure Assessment; APACHE, Acute Physiologic Assessment and Chronic Health Evaluation.
Summary of Studies Examining Organ Failure.
| Organ | Author (year) | Setting | Biomarker | Gold standard control used in the study | Sample size and Study Design | Result | Clinical significance |
|---|---|---|---|---|---|---|---|
|
| Cakmak et al. ( | Chronic congestive heart failure | miRNA-182 | NT-pro BNP | Prospective Study | AUC | miRNA-182 is a potential prognostic marker for systolic heart failure |
|
| Zhu et al. ( | ARDS | miRNA-181a | LIPS | Case control Study | AUC | miRNA profiling combined with the LIPS score can improve the risk estimate for ARDS |
| Njock et al. ( | IPF | miRNA in Sputum exosomes | DLCO/VA | Prospective Study | miRNA-33-a-5p + Let-7d-5p + miR-142-3p | This combination of miRNAs is a potential biomarker for severity of lung disease in IPF | |
| Guiot et al. ( | IPF | Nucleosomes | DLCO/VA | Prospective Study | Nucleosomes | Nucleosomes in patients with IPF are a potential diagnostic as well as treatment response biomarker | |
|
| Tao et al. ( | Liver dysfunction in patients with chronic hepatitis B | miRNA-125b-5p | MELD score | Prospective Study | AUC | Combined miRNA-125b-5p and miRNA-122 was a superior predictor of outcome of ACLF in patients with Hepatitis B |
| Zheng et al. ( | HBV related ACLF | miRNA-130a | MELD score | Prospective study | AUC | miRNA-130a alone is not superior to the MELD score in predicting outcomes in liver failure | |
| Schutz et al. ( | Liver transplant | cfDNA | AST | Prospective Study | AST | CfDNA allowed for earlier and more sensitive discrimination of acute rejection in patients post liver transplant as compared to conventional LFTs | |
| Lambrecht et al. ( | Liver fibrosis in patients with HBV or HCV | miRNA | Fibroscan | Prospective Study | miRNA in exosomes | MiRNA in combination with fibroscan techniques is can potentially discriminate between stages of liver fibrosis | |
|
| Merkle et al. ( | AKI post cardiac surgery | cfDNA | Creatinine | Prospective Study | Creatinine | CfDNA is a valuable potential predictor of AKI post cardiac surgery |
| Aguado-Fraile et al. ( | AKI | miRNA-26b-5p | Cystatin C* | Prospective Study | AUC | The combination of miRNA-26b-5p, miRNA-27a-3p | |
| Fan et al. ( | AKI post MI | miRNA-24 | Serum NGAL | Prospective Study | AUC | The combination of miRNA-24 + miRNA-23a+ miRNA-145 is a potential predictor of AKI post AMI that is superior to serum NGAL | |
| Sole et al. ( | Chronic kidney disease | Urinary exosomes | Healthy patients | Prospective Study | Urinary exosomes | Urinary exosomes are a potential biomarker for detecting renal fibrosis | |
| Hu et al. ( | AKI | Urinary mtDNA | Creatinine | Prospective Study | Urinary mtDNA | Urinary mtDNA was superior than serum creatinine in predicting AKI | |
|
| Ha et al. ( | Pancreatitis | EPC | CRP | Prospective Study | CRP: | EPCs are a potential predictor of severe acute pancreatitis |
| Liu et al. ( | Persistent organ failure in patients with severe acute pancreatitis | Histones | APACHE II criteria | Prospective Study | APACHE II criteria | Circulating histones are a potential biomarker for predicting persistent organ failure in patients with acute pancreatitis | |
|
| Tapia et al. ( | Survival outcomes in patients with sepsis | EPC | SOFA score | Prospective Study | AUROC | EPCs can be used as biomarkers for predicting survival outcome sin patients with sepsis |
*Historical control as per previously reported studies.
miRNA, micro ribonucleic acid; NT-Pro BNP, B-type natriuretic peptide; AUC, area under the curve; ARDS, acute respiratory distress syndrome; PaO2/FiO2, ratio of the arterial pressure of arterial oxygen to fractional inspired oxygen; LIPS, Lung Injury Prediction Score; IPF, Idiopathic Pulmonary Fibrosis; DLCO/VA, diffusing capacity of the lungs for carbon monoxide/alveolar volume; MELD, Model for End Stage Liver Disease; ACLF, acute on chronic liver failure; cfDNS, cell free deoxyribonucleic acid; AST, aspartate aminotransferase; LFT, liver function test; HBV, hepatitis B Virus; HCV, hepatitis C virus; AUROC, area under the receiver operating characteristic curve, AST: Aspartate aminotransferase; HCV, Hepatitis C Virus; AKI, Acute Kidney Injury; NGAL, neutrophil gelatinase-associated lipocalin; CCU, coronary care unit; ICU, intensive care unit; AMI, acute myocardial infarction; CRP, C-reactive protein; mtDNA, mitochondrial deoxyribonucleic acid; APACHE, Acute Physiology and Chronic Health Evaluation; SOFA, Sequential Organ Failure Assessment Score.