scholarly journals Validation of Serum Biomarkers That Complement CA19-9 in Detecting Early Pancreatic Cancer Using Electrochemiluminescent-Based Multiplex Immunoassays

Biomedicines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1897
Author(s):  
Jin Song ◽  
Lori J. Sokoll ◽  
Daniel W. Chan ◽  
Zhen Zhang
Keyword(s):  
Pancreatic Cancer ◽  
Early Detection ◽  
Clinical Performance ◽  
Early Stage ◽  
Ductal Adenocarcinoma ◽  
Ca 125 ◽  
Clinical Validation ◽  
Marker Panel ◽  
Mucinous Neoplasm ◽  
High Analytical Performance

Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy; its early detection is critical for improving prognosis. Electrochemiluminescent-based multiplex immunoassays were developed with high analytical performance. All proteins were analyzed in sera of patients diagnosed with PDAC (n = 138), benign pancreatic conditions (111), and healthy controls (70). The clinical performance of these markers was evaluated individually or in combination for their complementarity to CA19-9 in detecting early PDAC. Logistic regression modeling including sex and age as cofactors identified a two-marker panel of CA19-9 and CA-125 that significantly improved the performance of CA19-9 alone in discriminating PDAC (AUC: 0.857 vs. 0.766), as well as early stage PDAC (0.805 vs. 0.702) from intraductal papillary mucinous neoplasm (IPMN). At a fixed specificity of 80%, the panel significantly improved sensitivities (78% vs. 41% or 72% vs. 59%). A two-marker panel of HE4 and CEA significantly outperformed CA19-9 in separating IPMN from chronic pancreatitis (0.841 vs. 0.501). The biomarker panels evaluated by assays demonstrated potential complementarity to CA19-9 in detecting early PDAC, warranting additional clinical validation to determine their role in the early detection of pancreatic cancer.

scholarly journals Advances in Early Detection of Pancreatic Cancer

Diagnostics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 18 ◽  
Author(s):  
Atsushi Kanno ◽  
Atsushi Masamune ◽  
Keiji Hanada ◽  
Masataka Kikuyama ◽  
Masayuki Kitano
Keyword(s):  
Pancreatic Cancer ◽  
Early Detection ◽  
Early Diagnosis ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Early Stage ◽  
Epidemiological Data ◽  
The United States ◽  
Ductal Adenocarcinoma ◽  
Intraductal Papillary Mucinous Neoplasms ◽  
Mucinous Neoplasms

Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease. PDAC is the fourth leading cause of death in the United States and Japan based on epidemiological data. Early detection of PDAC is very important to improve the prognosis of PDAC. Early detection of pancreatic ductal adenocarcinoma (PDAC) requires further examination after selecting cases with risk factors for the condition, such as family history, hereditary pancreatic carcinoma syndrome, intraductal papillary mucinous neoplasms, or chronic pancreatitis. The Japan Study Group on the Early Detection of Pancreatic Cancer has investigated and clarified the clinicopathological features for the early diagnosis of PDAC. In Japan, an algorithm for the early diagnosis of PDAC, which utilized the cooperation of local clinics and regional general hospitals, has been a breakthrough in the detection of early-stage PDAC. Further approaches for the early diagnosis of PDAC are warranted.

scholarly journals Automated Assay of a Four-Protein Biomarker Panel for Improved Detection of Ovarian Cancer

Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 325
Author(s):  
Christopher Walker ◽  
Tuan-Minh Nguyen ◽  
Shlomit Jessel ◽  
Ayesha B. Alvero ◽  
Dan-Arin Silasi ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Early Detection ◽  
Predictive Value ◽  
Early Stage ◽  
Ca 125 ◽  
Healthy Controls ◽  
Classification Models ◽  
Serum Samples ◽  
Protein Biomarker ◽  
Biomarker Panel

Background: Mortality from ovarian cancer remains high due to the lack of methods for early detection. The difficulty lies in the low prevalence of the disease necessitating a significantly high specificity and positive-predictive value (PPV) to avoid unneeded and invasive intervention. Currently, cancer antigen- 125 (CA-125) is the most commonly used biomarker for the early detection of ovarian cancer. In this study we determine the value of combining macrophage migration inhibitory factor (MIF), osteopontin (OPN), and prolactin (PROL) with CA-125 in the detection of ovarian cancer serum samples from healthy controls. Materials and Methods: A total of 432 serum samples were included in this study. 153 samples were from ovarian cancer patients and 279 samples were from age-matched healthy controls. The four proteins were quantified using a fully automated, multi-analyte immunoassay. The serum samples were divided into training and testing datasets and analyzed using four classification models to calculate accuracy, sensitivity, specificity, PPV, negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC). Results: The four-protein biomarker panel yielded an average accuracy of 91% compared to 85% using CA-125 alone across four classification models (p = 3.224 × 10−9). Further, in our cohort, the four-protein biomarker panel demonstrated a higher sensitivity (median of 76%), specificity (median of 98%), PPV (median of 91.5%), and NPV (median of 92%), compared to CA-125 alone. The performance of the four-protein biomarker remained better than CA-125 alone even in experiments comparing early stage (Stage I and Stage II) ovarian cancer to healthy controls. Conclusions: Combining MIF, OPN, PROL, and CA-125 can better differentiate ovarian cancer from healthy controls compared to CA-125 alone.

scholarly journals The Screening and Early Detection of Pancreatic Cancer: Who, When, and How?

2020 ◽  
Vol 25 (2) ◽  
pp. 65-71
Author(s):  
Jae Hyuck Chang
Keyword(s):  
Pancreatic Cancer ◽  
Chronic Pancreatitis ◽  
General Population ◽  
Early Detection ◽  
Imaging Modality ◽  
Ductal Adenocarcinoma ◽  
Average Risk ◽  
Cystic Lesions ◽  
Low Prevalence ◽  
New Onset

More than 80% of patients with pancreatic ductal adenocarcinoma (PDA) present with symptomatic, surgically unresectable disease. If a “stage shift” from the current 20% resectable proportion to greater by early detection can be achieved, it will unequivocally lead to improved survival in this otherwise dismal disease. Although the goal of early detection of PDA is laudable, the relatively low prevalence PDA renders general population screening infeasible. To avoid the perils of overdiagnosis and to focus early detection efforts on individuals deemed to be at higher-than-average risk, we need to define those subsets of individuals, such as familial kindred and patients with precursor cystic lesions, chronic pancreatitis, and new-onset diabetes. The next step is to determine when and how often to conduct surveillance in the atrisk individuals and the modalities (biomarkers and imaging) that will be used in the surveillance and diagnostic settings, respectively. Nonetheless, vast challenges still remain in terms of validated blood-based biomarkers, imaging modality, and when and how often the surveillance.

scholarly journals Detection of early stage pancreatic cancer using 5-hydroxymethylcytosine signatures in circulating cell free DNA

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Gulfem D. Guler ◽  
Yuhong Ning ◽  
Chin-Jen Ku ◽  
Tierney Phillips ◽  
Erin McCarthy ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Early Stage ◽  
Ductal Adenocarcinoma ◽  
Cell Free Dna ◽  
Early Stage Disease ◽  
Non Invasive ◽  
Cancer Pathogenesis ◽  
Free Dna ◽  
Stage Disease ◽  
Circulating Cell Free Dna

Abstract Pancreatic cancer is often detected late, when curative therapies are no longer possible. Here, we present non-invasive detection of pancreatic ductal adenocarcinoma (PDAC) by 5-hydroxymethylcytosine (5hmC) changes in circulating cell free DNA from a PDAC cohort (n = 64) in comparison with a non-cancer cohort (n = 243). Differential hydroxymethylation is found in thousands of genes, most significantly in genes related to pancreas development or function (GATA4, GATA6, PROX1, ONECUT1, MEIS2), and cancer pathogenesis (YAP1, TEAD1, PROX1, IGF1). cfDNA hydroxymethylome in PDAC cohort is differentially enriched for genes that are commonly de-regulated in PDAC tumors upon activation of KRAS and inactivation of TP53. Regularized regression models built using 5hmC densities in genes perform with AUC of 0.92 (discovery dataset, n = 79) and 0.92–0.94 (two independent test sets, n = 228). Furthermore, tissue-derived 5hmC features can be used to classify PDAC cfDNA (AUC = 0.88). These findings suggest that 5hmC changes enable classification of PDAC even during early stage disease.

scholarly journals Development of a Multimarker Assay for Early Detection of Ovarian Cancer

2010 ◽  
Vol 28 (13) ◽  
pp. 2159-2166 ◽  
Author(s):  
Zoya Yurkovetsky ◽  
Steven Skates ◽  
Aleksey Lomakin ◽  
Brian Nolen ◽  
Trenton Pulsipher ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Early Detection ◽  
Late Stage ◽  
Early Stage ◽  
Screening Strategy ◽  
Ca 125 ◽  
Great Promise ◽  
Biomarker Panel ◽  
Healthy Women ◽  
Early Stage Ovarian Cancer

PurposeEarly detection of ovarian cancer has great promise to improve clinical outcome.Patients and MethodsNinety-six serum biomarkers were analyzed in sera from healthy women and from patients with ovarian cancer, benign pelvic tumors, and breast, colorectal, and lung cancers, using multiplex xMAP bead-based immunoassays. A Metropolis algorithm with Monte Carlo simulation (MMC) was used for analysis of the data.ResultsA training set, including sera from 139 patients with early-stage ovarian cancer, 149 patients with late-stage ovarian cancer, and 1,102 healthy women, was analyzed with MMC algorithm and cross validation to identify an optimal biomarker panel discriminating early-stage cancer from healthy controls. The four-biomarker panel providing the highest diagnostic power of 86% sensitivity (SN) for early-stage and 93% SN for late-stage ovarian cancer at 98% specificity (SP) was comprised of CA-125, HE4, CEA, and VCAM-1. This model was applied to an independent blinded validation set consisting of sera from 44 patients with early-stage ovarian cancer, 124 patients with late-stage ovarian cancer, and 929 healthy women, providing unbiased estimates of 86% SN for stage I and II and 95% SN for stage III and IV disease at 98% SP. This panel was selective for ovarian cancer showing SN of 33% for benign pelvic disease, SN of 6% for breast cancer, SN of 0% for colorectal cancer, and SN of 36% for lung cancer.ConclusionA panel of CA-125, HE4, CEA, and VCAM-1, after additional validation, could serve as an initial stage in a screening strategy for epithelial ovarian cancer.

scholarly journals Circulating Cell-Free Tumour DNA for Early Detection of Pancreatic Cancer

Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3704
Author(s):  
Jedrzej J. Jaworski ◽  
Robert D. Morgan ◽  
Shivan Sivakumar
Keyword(s):  
Pancreatic Cancer ◽  
Early Detection ◽  
Early Stage ◽  
Lower Sensitivity ◽  
Detection Rates ◽  
Early Stage Disease ◽  
Genetic Sequencing ◽  
Number Of Factors ◽  
Stage Disease ◽  
Invasive Method

Pancreatic cancer is a lethal disease, with mortality rates negatively associated with the stage at which the disease is detected. Early detection is therefore critical to improving survival outcomes. A recent focus of research for early detection is the use of circulating cell-free tumour DNA (ctDNA). The detection of ctDNA offers potential as a relatively non-invasive method of diagnosing pancreatic cancer by using genetic sequencing technology to detect tumour-specific mutational signatures in blood samples before symptoms manifest. These technologies are limited by a number of factors that lower sensitivity and specificity, including low levels of detectable ctDNA in early stage disease and contamination with non-cancer circulating cell-free DNA. However, genetic and epigenetic analysis of ctDNA in combination with other standard diagnostic tests may improve early detection rates. In this review, we evaluate the genetic and epigenetic methods under investigation in diagnosing pancreatic cancer and provide a perspective for future developments.

Interim results of a screening protocol for early detection of pancreatic cancer in asymptomatic high-risk patients.

2016 ◽  
Vol 34 (4_suppl) ◽  
pp. 223-223
Author(s):  
Alexandra Gangi ◽  
Mokenge Peter Malafa ◽  
Jason Klapman
Keyword(s):  
Pancreatic Cancer ◽  
Clinical Trial ◽  
High Risk ◽  
Early Detection ◽  
Surgical Resection ◽  
Early Stage ◽  
Needle Aspiration ◽  
Screening Protocol ◽  
Risk Patients ◽  
Asymptomatic Individuals

223 Background: Pancreatic cancer (PC) is the 4th leading cause of cancer deaths in the US but is rarely diagnosed at an early curable stage. Early detection of PC will have measurable improved outcomes in affected patients. This study sets out to evaluate if EUS can detect early stage pre-cancerous or cancerous changes in the pancreas of high risk (HR) patients. Methods: After IRB review, a clinical trial (NCT01662609) to evaluate HR patients was opened to accrual. Study subjects met specified inclusion and exclusion criteria as defined by the protocol. Enrolled subjects underwent EUS followed by screening as defined by study protocol: subjects with normal EUS underwent repeat EUS at 1 year; subjects with abnormal EUS underwent fine needle aspiration (FNA) if a mass or cyst was found and measured ≥ 5mm and did not undergo FNA if the lesion measured < 5mm. Those with indeterminate or benign FNA underwent pancreatic CT scan with repeat EUS/FNA at 3 or 6 months respectively. Those with positive FNA were treated appropriately based on findings. Patients with mass/cyst < 5mm underwent repeat EUS/FNA at 3 months. Targeted follow-up is 5 years. Results: Of the 52 subjects accrued thus far, 41 were available for interim analysis. Twenty-seven (67%) subjects had a normal EUS while 14 (34%) subjects had abnormal findings. Two patients had large cysts with FNA consistent with an intraductal papillary mucinous neoplasms (IPMN). These 2 subjects ultimately underwent surgical resection. The 12 remaining subjects had at least 1 subcentimeter lesion and are being routinely screened per the outlined protocol. Conclusions: EUS screening of asymptomatic individuals who are at high risk for pancreatic cancer as defined by our inclusion criteria frequently detects abnormal lesions in the pancreas. These lesions include high risk IPMNs that warrant surgical resection. Our results validate the results of other high risk screening protocols and support the screening of individuals who are at high risk for development of pancreatic cancer. Clinical trial information: NCT01662609.

Development of Pancreatic Cancer: Targets for Early Detection and Treatment

2016 ◽  
Vol 34 (5) ◽  
pp. 525-531 ◽  
Author(s):  
Markus M. Lerch ◽  
Julia Mayerle ◽  
Ujjwal Mahajan ◽  
Matthias Sendler ◽  
F. Ulrich Weiss ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Chronic Pancreatitis ◽  
Early Detection ◽  
Tyrosine Kinases ◽  
Histone Deacetylases ◽  
Hedgehog Signaling ◽  
Pharmaceutical Preparations ◽  
Chemotherapeutic Agents ◽  
Ductal Adenocarcinoma ◽  
Diagnostic Tools

Background: Pancreatic ductal adenocarcinoma (PDAC) is the 4th leading cause of cancer death worldwide and compared to other malignancies its share in cancer mortality is expected to rise further. This is due to a lack of sensitive diagnostic tools that would permit earlier detection in a potentially curable stage and the very slow progress in finding effective drug treatments for pancreatic cancer. Key Messages: Aside from genetic predispositions and environmental agents, chronic pancreatitis is by far the greatest risk factor for PDAC. It also shares several etiological factors with pancreatic cancer and represents its most challenging differential diagnosis. Biomarkers that can distinguish between chronic pancreatitis and PDAC may therefore be suitable for the latter's early detection. Moreover, targeting the natural history of chronic pancreatitis would be one approach to prevent PDAC. Targeting tumor-cell signaling directly by interfering with receptor tyrosine kinases has shown some efficacy, although the results in clinical trials were less encouraging than for other cancers. Other compounds developed have targeted the formation of extracellular matrix around the tumor, the proteolytic activity in the tumor environment, histone deacetylases, hedgehog signaling and heat shock proteins, but none has yet found its way into routine patient care. Attempts to individualize treatment according to the tumor's somatic mutation profile are novel but so far impractical. Conclusions: Progress in the treatment of pancreatic cancer has been exceedingly slow and mostly dependent on improved pharmaceutical preparations or combinations of established chemotherapeutic agents. The promise of major breakthroughs implied in targeting tumor signal transduction events has so far not materialized.

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