Evaluation of a serologic marker, CA19-9, in the diagnosis of pancreatic cancer

Fluorescence/electrochemical dual-mode strategy for Golgi protein 73 detection based on molybdenum disulfide/ferrocene/palladium nanoparticles and nitrogen-doped graphene quantum dots

Golgi protein 73 (GP73) is a new serum marker associated with early diagnosis and postoperative assessment of hepatocellular carcinoma (HCC). Herein, an electrochemical/fluorescence dual-signal biosensor was designed for determination of GP73 based on molybdenum disulfide/ferrocene/palladium nanoparticles (MoS2-Fc-PdNPs) and nitrogen-doped graphene quantum dots (NGQDs). GP73 aptamer (Apt) was labeled with NGQDs to form the NGQDs-Apt fluorescence probe. MoS2-Fc-PdNPs served not only as the fluorescence quencher but also as electrochemical enhancer. The sensing platform (NGQDs-Apt/MoS2-Fc-PdNPs) was formed based on the fluorescence resonance energy transfer (FRET) mechanism. In the presence of GP73, the specific binding of NGQDs-Apt to GP73 interrupted FRET, restoring the fluorescence of NGQDs-Apt at λex/em = 348/438 nm and enhancing the oxidation current of Fc in MoS2-Fc-PdNPs at 0.04 V through differential pulse voltammetry (DPV). Under the optimal conditions, the DPV current change and fluorescence recovery have a good linear relationship with GP73 concentration from 1.00 to 10.0 ng/mL. The calibration equation for the fluorescence mode was Y1 = (0.0213 ± 0.00127)X + (0.0641 ± 0.00448) and LOD was 0.812 ng/mL (S/N = 3). The calibration equation of the electrochemical mode was Y2 = (3.41 ± 0.111)X + (1.62 ± 0.731), and LOD of 0.0425 ng/mL (S/N = 3). The RSDs of fluorescence mode and electrochemical mode after serum detection were 1.62 to 5.21% and 0.180 to 6.62%, respectively. By combining the electrochemical and fluorescence assay, more comprehensive and valuable information for GP73 was provided. Such dual-mode detection platform shows excellent reproducibility, stability, and selectivity and has great application potential.

Unlocking the potential of oncology biomarkers: advancements in clinical theranostics

INTRODUCTION

Cancer biomarkers have revolutionized the field of oncology by providing valuable insights into tumor changes and aiding in screening, diagnosis, prognosis, treatment prediction, and risk assessment. The emergence of "omic" technologies has enabled biomarkers to become reliable and accurate predictors of outcomes during cancer treatment.

CONTENT

In this review, we highlight the clinical utility of biomarkers in cancer identification and motivate researchers to establish a personalized/precision approach in oncology. By extending a multidisciplinary technology-based approach, biomarkers offer an alternative to traditional techniques, fulfilling the goal of cancer therapeutics to find a needle in a haystack.

SUMMARY AND OUTLOOK

We target different forms of cancer to establish a dynamic role of biomarkers in understanding the spectrum of malignancies and their biochemical and molecular characterization, emphasizing their prospective contribution to cancer screening. Biomarkers offer a promising avenue for the early detection of human cancers and the exploration of novel technologies to predict disease severity, facilitating maximum survival and minimum mortality rates. This review provides a comprehensive overview of the potential of biomarkers in oncology and highlights their prospects in advancing cancer diagnosis and treatment.

Dynamics of Serum CA19-9 in Patients Undergoing Pancreatic Cancer Resection

BACKGROUND

Carbohydrate antigen (CA) 19-9 is an established perioperative prognostic biomarker for pancreatic ductal adenocarcinoma (PDAC). However, it is unclear how CA19-9 monitoring should be used during postoperative surveillance to detect recurrence and to guide the initiation of recurrence-focused therapy.

OBJECTIVE

This study aimed to elucidate the value of CA19-9 as a diagnostic biomarker for disease recurrence in patients who underwent PDAC resection.

METHODS

Serum CA19-9 levels at diagnosis, after surgery, and during postoperative follow-up were analyzed in patients who underwent PDAC resection. All patients with at least two postoperative follow-up CA19-9 measurements before recurrence were included. Patients deemed to be nonsecretors of CA19-9 were excluded. The relative increase in postoperative CA19-9 was calculated for each patient by dividing the maximum postoperative CA19-9 value by the first postoperative value. Receiver operating characteristic analysis was performed to identify the optimal threshold for the relative increase in CA19-9 levels to identify recurrence in the training set using Youden's index. The performance of this cutoff was validated in a test set by calculating the area under the curve (AUC) and was compared to the performance of the optimal cutoff for postoperative CA19-9 measurements as a continuous value. In addition, sensitivity, specificity, and predictive values were assessed.

RESULTS

In total, 271 patients were included, of whom 208 (77%) developed recurrence. Receiver operating characteristic analysis demonstrated that a relative increase in postoperative serum CA19-9 of 2.6× was predictive of recurrence, with 58% sensitivity, 83% specificity, 95% positive predictive value, and 28% negative predictive value. The AUC for a 2.6× relative increase in the CA19-9 level was 0.719 in the training set and 0.663 in the test set. The AUC of postoperative CA19-9 as a continuous value (optimal threshold, 52) was 0.671 in the training set. In the training set, the detection of a 2.6-fold increase in CA19-9 preceded the detection of recurrence by a mean difference of 7 months ( P <0.001) and in the test set by 10 months ( P <0.001).

CONCLUSIONS

A relative increase in the postoperative serum CA19-9 level of 2.6-fold is a stronger predictive marker for recurrence than a continuous CA19-9 cutoff. A relative CA19-9 increase can precede the detection of recurrence on imaging for up to 7 to 10 months. Therefore, CA19-9 dynamics can be used as a biomarker to guide the initiation of recurrence-focused treatment.

Progress on diagnostic and prognostic markers of pancreatic cancer

Pancreatic cancer is a malignant disease characterized by low survival and high recurrence rate, whose patients are mostly at the stage of locally advanced or metastatic disease when first diagnosed. Early diagnosis is particularly important because prognostic/predictive markers help guide optimal individualized treatment regimens. So far, CA19-9 is the only biomarker for pancreatic cancer approved by the FDA, but its effectiveness is limited by low sensitivity and specificity. With recent advances in genomics, proteomics, metabolomics, and other analytical and sequencing technologies, the rapid acquisition and screening of biomarkers is now possible. Liquid biopsy also occupies a significant place due to its unique advantages. In this review, we systematically describe and evaluate the available biomarkers that have the greatest potential as vital tools in diagnosing and treating pancreatic cancer.

Patients with Type 2 Diabetes Mellitus Accompanied by Elevated Serum CA19-9 Associated Not with Pancreatic Cancer but Interstitial Lung Disease

<b><i>Introduction:</i></b> CA19-9 is the most reliable tumor marker for pancreatic cancer, with 70–90% sensitivity, 90% specificity, 69% positive predictive value, and 90% negative predictive value. However, increased CA19-9 levels have been observed in benign conditions, pancreatitis, pulmonary disease, smoking, and hepatobiliary system disease. Numerous studies have reported that circulating CA19-9 levels are elevated during hyperglycemia in diabetes mellitus (DM) and have been associated with hemoglobin A1c (HbA1c). However, the precise mechanism behind increased serum CA19-9 levels in diabetes remains still unclear. Here, we report a case of type 2 DM (T2DM) accompanied by elevated serum CA19-9 levels due to not pancreatic cancer but interstitial pneumonitis. <b><i>Case Report:</i></b> The patient, a 73-year-old Japanese woman, was taking metformin (1,500 mg/day), repaglinide (1.5 mg/day), and sitagliptin (50 mg/day). Over the past year, she also took atorvastatin (5 mg/day) and azilsartan (40 mg/day). The patient had been followed up for systemic scleroderma (with low-dose steroid therapy) and mild interstitial lung disease (ILD) (without treatment) for a number of years at a different hospital. The patient’s peripheral blood laboratory findings were normal range. Her HbA1c level fluctuated between 7.0% and 8.0% in the past 6 months. Her CA19-9 level was fluctuated between 562.7 and 823.2 U/mL (normal &#x3c;37), and her KL-6 level was fluctuated between 516 and 557 U/L (normal &#x3c;500) in the past 6 months. Due to the marked increase in the CA19-9 level, an extensive screening examination was performed for malignancy, including abdominal ultrasound scan, computed tomography (CT), and magnetic resonance cholangiopancreatography, revealing no malignancy. We observed bilateral pulmonary lesions (bottom of lungs) and ground-glass opacity on the chest CT. The pancreatic monoclonal antigen type 2 (DU-PAN-2) level was &#x3c;25 U/mL. <b><i>Conclusions:</i></b> In our case, CA19-9 levels were increased in association not with pancreatic cancer but with ILD. Thus, when T2DM is accompanied by elevated serum CA19-9 levels, attention needs to be paid not only to the presence of pancreatic cancer but also to the possible ILD. Especially, when diabetes and ILD are treated in different hospitals, diabetologists need to pay attention about the presence of hidden ILD besides DM.

Clinical Clues of Pre-Symptomatic Pancreatic Ductal Adenocarcinoma Prior to Its Diagnosis: A Retrospective Review of CT Scans and Laboratory Tests

Most pancreatic ductal adenocarcinoma cases are unresectable at the time of diagnosis. Only early diagnosis and curative resection can help prolong survival. We tried to find out useful clinical clues of pre-symptomatic area prior to pancreatic cancer diagnosis compared to normal controls. Of 4799 patients diagnosed with pancreatic cancer between 1995 and 2014 at the Samsung Medical Center, 51 were selected for study. They had no symptoms at diagnosis and underwent computed tomography 6 to 36 months prior to diagnosis for reasons other than cancer diagnosis. We selected 288 control subjects who underwent computed tomography during the same period. Data were retrospectively reviewed included various variables. Fasting blood sugar (171.8 ± 97.5 vs. 115.8 ± 34.8 units, p < 0.05), new onset diabetes mellitus within 3 years (12/51 (23.5%) vs. 17/181 (9.8%), p < 0.05), carbohydrate antigen 19-9 level (609.5 ± 2342.5 vs. 17.0 ± 26.2, p = 0.08), main pancreatic duct dilatation (26/51 (51.0%) vs. 57/181 (31.5%), p < 0.05) in computed tomography scan were higher in pancreatic cancer group than in normal group, respectively. In multi-variate analysis, carbohydrate antigen 19-9, new onset diabetes mellitus (<3 years), and segmental main pancreatic duct dilatation were independent risk factors for pancreatic cancer. Our study concluded that independent risk factors for pancreatic cancer were elevated carbohydrate antigen 19-9, new onset diabetes mellitus (<3 years), and local main pancreatic ductal dilatation on computed tomography scan.

Moving Towards Dawn: KRas Signaling and Treatment in Pancreatic Ductal Adenocarcinoma

"Pancreatic ductal adenocarcinoma (PDAC)" is robust, nearly clueless, and all-around deadly among all tumors. Below 10 %, the general 5-year endurance period has remained adamantly unaltered in the last 30 years, regardless of enormous clinical and therapeutic endeavors. The yearly number of deaths is more than the number of recently analyzed cases. Not a classic one, but "Carbohydrate Antigen CA19- 9" remains the prevailing tool for diagnosis. MicroRNAs and non-invasive techniques are now incorporated for the effective prognosis of PDAC than just CA19-9. Mutated "Rat sarcoma virus Ras" conformation "V-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog KRas" is 95 % accountable for PDAC, and its active (GTP-bound) formation activates signaling cascade comprising "Rapidly accelerated fibrosarcoma Raf"/"Mitogen-activated protein kinase MEK"/ "Extracellular signal-regulated kinase ERK" with "Phosphoinositide 3-kinase PI3K"/ "protein kinase B Akt"/ "mammalian target of rapamycin mTOR" pathways. KRas has acquired the label of 'undruggable' since the crosstalk in the nexus of pathways compensates for Raf and PI3K signaling cascade blocking. It is arduous to totally regulate KRascoordinated PDAC with traditional medicaments like "gemcitabine GEM" plus nabpaclitaxel/ FOLFIRINOX. For long-haul accomplishments aiming at KRas, future endeavors should be directed to combinatorial methodologies to adequately block KRas pathways at different standpoints. Currently they are contributing to healing PDAC. In this review article, we outline the function of KRas in carcinogenesis in PDAC, its signaling cascade, former techniques utilized in hindering Kras, current and future possibilities for targeting Kras.

A radiomics model that predicts lymph node status in pancreatic cancer to guide clinical decision making: A retrospective study

Purpose: To construct a radiomics-based model for predicting lymph node (LN) metastasis status in pancreatic ductal adenocarcinoma (PDAC) before therapy and to evaluate its prognostic clinical value. Materials and Methods: We retrospectively collected preoperative CT scans of 130 PDAC patients who underwent original tumor resection and LN dissection in the entire cohort between January 2014 and December 2017. Radiomics features were systematically extracted and analyzed from CT scans of 89 patients in the primary cohort. To construct a radiomics signature, the least absolute shrinkage and selection operator methods were employed with LN metastasis status as classification labels. Pathological analysis of LN status which were assessed by experienced pathologists was used as the evaluation label. We subjected the clinical nomogram to multivariable logistic regression analysis and conducted performance evaluation based on its discrimination, calibration, and clinical value. The model was tested and validated in 41 patients with PDAC in a separate validation cohort. Results: Four radiomics features closely associated with LN metastasis were selected in the primary and validation cohorts (P < 0.01). Following the integration of CT-reported results and radiomics signatures into the radiomics nomogram, we reported better performance in the primary (area under the curve, 0.80) and validation (area under the curve, 0.78) cohorts. Conclusion: The noninvasive tool constructed from the portal venous phase CT based on radiomics showed better performance for LN metastasis prediction than traditional approaches in pancreatic cancer. It may assist surgeons in crafting detailed procedures before treatment, this subsequently improves tumor staging and resection of patients.

β6-Integrin Serves as a Potential Serum Marker for Diagnosis and Prognosis of Pancreatic Adenocarcinoma

INTRODUCTION

Despite enormous efforts during the past decades, pancreatic adenocarcinoma (PAC) remains one of the most deleterious cancer entities. A useful biomarker for early detection or prognosis of PAC does not yet exist. The goal of our study was the characterization of β6-integrin (ITGB6) as a novel serum tumor marker for refined diagnosis and prognosis of PAC. Serum ITGB6 levels were analyzed in 3 independent PAC cohorts consisting of retrospectively and prospectively collected serum and/or (metastatic) PAC tissue specimens.

METHODS

Using 2 independent cohorts, we measured serum ITGB6 concentrations in 10 chronic pancreatitis patients, 10 controls, as well as in 27 (cohort 1) and 24 (cohort 2) patients with PAC, respectively. In these patients, we investigated whether ITGB6 serum levels correlate with known clinical and prognostic markers for PAC and whether they might differ between patients with PAC or benign inflammatory diseases of the pancreas.

RESULTS

We found that elevated serum ITGB6 levels (≥0.100 ng/mL) in patients suffering from metastasizing PAC presented an unfavorable prognostic outcome. By correlating the ITGB6 tissue expression in primary and metastatic PAC with clinical parameters, we found that positive ITGB6 expression in the tumor tissue is linked to increased serum ITGB6 levels in nonmetastatic PAC and correlates with carbohydrate antigen 19-9 and clinical outcome.

DISCUSSION

Our findings suggest that ITGB6 might serve as a novel serum biomarker for early diagnosis and prognosis of PAC. Given the limited specificity and sensitivity of currently used carbohydrate antigen 19-9-based assays, ITGB6 may have the potential to improve the diagnostic accuracy for PAC.

Biliary Strictures: Etiologies and Medical Management

Biliary strictures have several etiologies that can broadly be classified into benign and malignant causes. The clinical presentation is variable with strictures identified incidentally on imaging or during the evaluation of routine laboratory abnormalities. Symptoms and cholangitis lead to imaging that can diagnose biliary strictures. The diagnosis and medical management of biliary strictures will be discussed in this article.

Impact of Endoscopic Ultrasound-Guided Tissue Acquisition on Decision-Making in Precision Medicine for Pancreatic Cancer: Beyond Diagnosis

Precision medicine in cancer treatment refers to targeted therapy based on the evaluation of biomarkers. Although precision medicine for pancreatic cancer (PC) remains challenging, novel biomarker-based therapies, such as pembrolizumab, olaparib, and entrectinib, have been emerging. Most commonly, endoscopic ultrasound-guided tissue acquisition (EUS-TA) had been used for the diagnosis of PC until now. However, advances in EUS-TA devices and biomarker testing, especially next-generation sequencing, have opened up the possibility of sequencing of various genes even in limited amounts of tissue samples obtained by EUS-TA, and identifying potential genetic alterations as therapeutic targets. Precision medicine benefits only a small population of patients with PC, but biomarker-based therapy has shown promising results in patients who once had no treatment options. Now, the role of EUS-TA has extended beyond diagnosis into decision-making regarding the treatment of PC. In this review, we mainly discuss tissue sampling by EUS-TA for biomarker testing and the current status of precision medicine for PC.

A review of response in neoadjuvant therapy for exocrine pancreatic cancer

Despite overall advances in cancer therapy, patients with pancreatic ductal adenocarcinoma continue to have a poor prognosis. While adjuvant therapy is still considered standard, there is mounting evidence that neoadjuvant therapy confers similar benefits in patients with locally advanced disease. The primary measures of response are radiographic, biochemical, margin status, and pathologic. Given overall low response rates and the need for new treatment strategies, standard metrics remain important to the investigation of new systemic agents.

Isolation of exosomes from whole blood by a new microfluidic device: proof of concept application in the diagnosis and monitoring of pancreatic cancer

Background

Exosomes are endocytic-extracellular vesicles with a diameter around 100 nm that play an essential role on the communication between cells. In fact, they have been proposed as candidates for the diagnosis and the monitoring of different pathologies (such as Parkinson, Alzheimer, diabetes, cardiac damage, infection diseases or cancer).

Results

In this study, magnetic nanoparticles (Fe₃O₄NPs) were successfully functionalized with an exosome-binding antibody (anti-CD9) to mediate the magnetic capture in a microdevice. This was carried out under flow in a 1.6 mm (outer diameter) microchannel whose wall was in contact with a set of NdFeB permanent magnets, giving a high magnetic field across the channel diameter that allowed exosome separation with a high yield. To show the usefulness of the method, the direct capture of exosomes from whole blood of patients with pancreatic cancer (PC) was performed, as a proof of concept. The captured exosomes were then subjected to analysis of CA19-9, a protein often used to monitor PC patients.

Conclusions

Here, we describe a new microfluidic device and the procedure for the isolation of exosomes from whole blood, without any need of previous isolation steps, thereby facilitating translation to the clinic. The results show that, for the cases analyzed, the evaluation of CA19-9 in exosomes was highly sensitive, compared to serum samples.

High Carbohydrate 19-9 Antigen Serum Levels in Patients with Nonmelanoma Skin Cancer and Primary Occult Cancer

BACKGROUND

Non-melanoma skin cancers (NMSC), despite having a favourable prognosis, present an increased risk of occult malignancies. The aim of this study was the evaluation of the usefulness of the mucinous marker carbohydrate 19-9 antigen (CA 19-9) in the diagnosis of occult cancers. (1) Patients and Methods: This is a case control study in which 480 patients with NMSC and 480 matched control subjects with dermatitis were enrolled; 208 patients with NMSC showed upper-normal CA 19-9 values, and 272 showed under-normal CA 19-9 values. (2) Results: The 208 patients positive for CA 19-9 included 87 with basal cell carcinoma (BCC) and 121 with squamous cell carcinoma (SCC). The 272 patients negative for CA 19-9 included 107 with BCC and 165 with SCC. For the SCC patients, CA 19-9 serum levels were significant in 121 of the patients (positive), 66 of which were affected by cancer; CA 19-9 was within the normal range in 165 patients, of which 30 were diagnosed with cancer. In the SCC patients, the CA 19-9 sensitivity was 68%, the specificity was 70%, the positive predictive value (PPV) was 54% (95%) and the negative predictive value (NPV) was 81%. In the BCC patients, the CA 19-9 sensitivity was 70%, the specificity was 66%, the PPV was 48% and the NPV was 83%. In the dermatitis patients (controls), we observed 121 patients that were CA 19-9 positive, with 15 malignancies, and 359 CA 19-9-negative patients, with three malignancies. (3) Conclusions: To confirm the association between CA 19-9 and an elevated risk of malignancies in NMSC, prospective cohort studies should be performed.

Recent advances in mass spectrometry based clinical proteomics: applications to cancer research

Cancer biomarkers have transformed current practices in the oncology clinic. Continued discovery and validation are crucial for improving early diagnosis, risk stratification, and monitoring patient response to treatment. Profiling of the tumour genome and transcriptome are now established tools for the discovery of novel biomarkers, but alterations in proteome expression are more likely to reflect changes in tumour pathophysiology. In the past, clinical diagnostics have strongly relied on antibody-based detection strategies, but these methods carry certain limitations. Mass spectrometry (MS) is a powerful method that enables increasingly comprehensive insights into changes of the proteome to advance personalized medicine. In this review, recent improvements in MS-based clinical proteomics are highlighted with a focus on oncology. We will provide a detailed overview of clinically relevant samples types, as well as, consideration for sample preparation methods, protein quantitation strategies, MS configurations, and data analysis pipelines currently available to researchers. Critical consideration of each step is necessary to address the pressing clinical questions that advance cancer patient diagnosis and prognosis. While the majority of studies focus on the discovery of clinically-relevant biomarkers, there is a growing demand for rigorous biomarker validation. These studies focus on high-throughput targeted MS assays and multi-centre studies with standardized protocols. Additionally, improvements in MS sensitivity are opening the door to new classes of tumour-specific proteoforms including post-translational modifications and variants originating from genomic aberrations. Overlaying proteomic data to complement genomic and transcriptomic datasets forges the growing field of proteogenomics, which shows great potential to improve our understanding of cancer biology. Overall, these advancements not only solidify MS-based clinical proteomics' integral position in cancer research, but also accelerate the shift towards becoming a regular component of routine analysis and clinical practice.

Prognostic and predictive factors in pancreatic cancer

Pancreatic cancer is one of the leading causes of cancer death worldwide. Its high mortality rate has remained unchanged for years. Radiotherapy and surgery are considered standard treatments in early and locally advanced stages. Chemotherapy is the only option for metastatic patients. Two treatment regimens, i. e. the association of 5-fluorouracil- irinotecan-oxaliplatin (FOLFIRINOX) and the association of nab-paclitaxel with gemcitabine, have been shown to improve outcomes for metastatic pancreatic adenocarcinoma patients. However, there are not standardized predictive biomarkers able to identify patients who benefit most from treatments. CA19-9 is the most studied prognostic biomarker, its predictive role remains unclear. Other clinical, histological and molecular biomarkers are emerging in prognostic and predictive settings. The aim of this review is to provide an overview of prognostic and predictive markers used in clinical practice and to explore the most promising fields of research in terms of treatment selection and tailored therapy in pancreatic cancer.

Pancreaticobiliary metastasis presenting as primary mucinous ovarian neoplasm: A systematic literature review

True primary mucinous ovarian carcinomas are rarer than originally thought and their clinical behavior and treatment response are different than more common epithelial ovarian carcinomas. Secondary ovarian neoplasms often mimic the clinical and histological features of mucinous ovarian cancer making their diagnosis, and therefore treatment, more difficult. Misdiagnosis can have a significant impact on both treatment and prognosis. The majority of these secondary ovarian neoplasms arise from the gastrointestinal tract, with mucinous histology often of pancreaticobiliary origin. Our study objective was to review current evidence distinguishing pancreaticobiliary ovarian metastasis from primary mucinous ovarian carcinoma. We utilized a PubMed search using MeSH terms and selected articles were reviewed, synthesized and summarized. Thirty-nine articles were included in the review. The clinical, gross, histological and immunohistochemical features distinguishing primary mucinous ovarian carcinomas from pancreaticobiliary ovarian metastasis were identified. Compared to primary mucinous ovarian carcinoma, metastatic pancreaticobiliary tumors are more often bilateral, <10 cm, have irregular external surface and surface implants, display an infiltrative pattern of invasion and stain for MUC1 and CK17. Primary ovarian mucinous tumors rarely (<3%) have signet ring cells or involvement of the hilum. Metastatic mucinous tumors mimic their primary mucinous ovarian counterparts and their clinical and histopathological features overlap in many ways. However, these metastatic tumors have features that can help differentiate them from primary mucinous carcinoma. With a high index of suspicion and knowledge of the reviewed features, distinguishing these tumors will continue to become easier.

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Primary ovarian and metastatic pancreaticobiliary tumors present similarly.

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Histologic findings can differentiate primary from metastatic ovarian tumors.

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Bilaterality, size, surface appearance can differentiate primary versus metastatic.

Special Issue: Cancer Biomarkers and Targets in Digestive Organs

The identification and development of cancer biomarkers and targets have greatly accelerated progress towards precision medicine in oncology. [...].

New Development of Biomarkers for Gastrointestinal Cancers: From Neoplastic Cells to Tumor Microenvironment

Biomarkers refer to a plethora of biological characteristics that can be quantified to facilitate cancer diagnosis, forecast the prognosis of disease, and predict a response to treatment. The identification of objective biomarkers is among the most crucial steps in the realization of individualized cancer care. Several tumor biomarkers for gastrointestinal malignancies have been applied in the clinical setting to help differentiate between cancer and other conditions, facilitate patient selection for targeted therapies, and to monitor treatment response and recurrence. With the coming of the immunotherapy age, the need for a new development of biomarkers that are indicative of the immune response to tumors are unprecedentedly urgent. Biomarkers from the tumor microenvironment, tumor genome, and signatures from liquid biopsies have been explored, but the majority have shown a limited prognostic or predictive value as single biomarkers. Nevertheless, use of multiplex biomarkers has the potential to provide a significantly increased diagnostic accuracy compared to traditional single biomarker. A comprehensive analysis of immune-biomarkers is needed to reveal the dynamic and multifaceted anti-tumor immunity and thus imply for the rational design of assays and combinational strategies.

Comparison of Two Newly Identified Tumor Markers (CAR-3 AND DU-PAN-2) with CA 19-9 in Patients with Pancreatic Cancer

We compared the diagnostic utility of DU-PAN-2 and CAR-3 with that of CA 19-9 in differentiating pancreatic cancer (23 patients) from chronic pancreatitis (16 patients) and various extra-pancreatic diseases (28 patients) mainly of the upper gastrointestinal and biliary tract. The influence of some pathophysiologic variables on the three markers was also assessed. The sensitivities of the three markers in detecting pancreatic cancer were: CA 19-9, 83%; DU-PAN-2, 56%; and CAR-3, 39%. In patients with chronic pancreatitis and extra-pancreatic diseases, CA 19-9 gave the highest number of false positives. Receiver-operating characteristic curves showed that the ability of CAR-3 to discriminate between pancreatic cancer and other diseases was similar to that of CA 19-9, whereas DU-PAN-2 was a less reliable discriminator. Correlations were found between the behavior of all three markers and that of the cholestasis indices (ALP and GGT). Our findings indicate that DU-PAN-2 and CAR-3 serum determinations do not provide any more information than does CA 19-9 alone. The latter remains the marker of choice in the differential diagnosis of pancreatic cancer, even though it cannot be considered a definitive aid. Serum levels of all three markers increase in the presence of extrahepatic cholestasis, possibly due to interference with the hepatic clearance of glycoproteins and destruction of ductal biliary epithelium.

Tumor Markers in the Diagnosis, Monitoring and Therapy of Pancreatic Cancer: State of the Art

The present review focuses on the utility of serum tumor markers in screening, diagnosis, prognosis and monitoring of pancreatic cancer. Serum determination of all tumor markers studied offers no help in screening or early diagnosis of pancreatic cancer. For diagnosis, blood group-related antigens, in particular CA 19-9, are considered the best indicators of this neoplasm. However, as occurs with other glycoproteic tumor markers, the circulating levels of CA 19-9 are significantly influenced by jaundice, probably because its liver metabolism is reduced. Therefore, the finding of elevated CA 19-9 levels in jaundiced patients has to be evaluated with caution. Since pancreatic cancer recurrences are not susceptible to treatment, the clinical role of widespread use of tumor marker determination in follow-up programs is limited and calls for a critical evaluation.

Combined use of CEMIP and CA 19-9 enhances diagnostic accuracy for pancreatic cancer

Carbohydrate antigen (CA) 19-9 is the only diagnostic marker used in pancreatic cancer despite its limitations. Here, we aimed to identify the diagnostic role of CEMIP (also called KIAA1199) combined with CA 19-9 in patients with pancreatic cancer. A retrospective analysis of prospectively collected patient samples was performed to determine the benefit of diagnostic markers in the diagnosis of pancreatic cancer. We investigated CEMIP and CA 19-9 levels in 324 patients with pancreatic cancer and 49 normal controls using serum enzyme-linked immunosorbent assay. Median CA 19-9 and CEMIP levels were 410.5 U/ml (40.8-3342.5) and 0.67 ng/ml (0.40-1.08), respectively, in patients with pancreatic cancer. The AUROC for CA 19-9 and CEMIP were 0.847 (95% confidence interval [CI]: 0.806-0.888) and 0.760 (95% CI: 0.689-0.831), respectively. Combination of CA 19-9 with CEMIP showed markedly improved AUROC over CA 19-9 alone in pancreatic cancer diagnosis (0.94 vs. 0.89; P < 0.0001). CEMIP showed a diagnostic yield of 86.1% (68/79) in CA 19-9 negative pancreatic cancer. Combined use with CEMIP showed significantly improved diagnostic value compared with CA 19-9 alone in pancreatic cancer. Especially, CEMIP may be a complementary marker in pancreatic cancer patients with normal CA 19-9 levels.

Validation of Biomarkers for Early Detection of Pancreatic Cancer: Summary of The Alliance of Pancreatic Cancer Consortia for Biomarkers for Early Detection Workshop

Pancreatic cancer is the third leading cause of cancer death in the United States, and the 5-year relative survival for patients diagnosed with pancreatic cancer is less than 10%. Early intervention is the key to a better survival outcome. Currently, there are no biomarkers that can reliably detect pancreatic cancer at an early stage or identify precursors that are destined to progress to malignancy. The National Cancer Institute in partnership with the Kenner Family Research Fund and the Pancreatic Cancer Action Network convened a Data Jamboree on Biomarkers workshop on December 5, 2016, to discuss and evaluate existing or newly developed biomarkers and imaging methods for early detection of pancreatic cancer. The primary goal of this workshop was to determine if there are any promising biomarkers for early detection of pancreatic cancer that are ready for clinical validation. The Alliance of Pancreatic Cancer Consortia for Biomarkers for Early Detection, formed under the auspices of this workshop, will provide the common platform and the resources necessary for validation. Although none of the biomarkers evaluated seemed ready for a large-scale biomarker validation trial, a number of them had sufficiently high sensitivity and specificity to warrant additional research, especially if combined with other biomarkers to form a panel.

Genetic correction improves prediction efficiency of serum tumor biomarkers on digestive cancer risk in the elderly Chinese cohort study

Although serum tumor biomarkers alpha-fetoprotein (AFP), carbohydrate antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) have been used in digestive cancer risk prediction, the prediction efficiency remains unsatisfactory. The aim of this study was to evaluate whether genetic correction could improve the efficiency of these biomarkers for prediction of digestive cancer risk. We conducted a prospective analysis in 9,808 healthy individuals based on a cohort study in the elderly Chinese population. The genotypes of reported single nucleotide polymorphisms (SNPs) associated with serum AFP, CA19-9 and CEA were used to estimate the genetic corrected levels of these markers. Unconditional logistic regression analysis was performed to evaluate the risk of digestive cancer. The Harrell's C-statistic was used to evaluate the discriminative ability of the raw levels and genetic corrected levels of biomarkers on digestive cancer risk. Up to October 2013, a total of 172 individuals were newly diagnosed with digestive cancer. With the genetic correction, higher odds ratios (ORs) for digestive cancer risk were found for the genetic corrected levels of tumor biomarkers compared with their raw serum levels (1.57 vs. 1.65 for AFP; 1.19 vs. 1.21 for CA19-9; 1.09 vs. 1.10 for CEA, respectively). The same results were observed in the Harrell's C-statistic analyses. Genetic correction improved the prediction efficiency of tumor biomarkers on the digestive cancer risk in an elderly Chinese population. Our findings provide evidence for further studies of genetic effects on tumor biomarker to improve the predictive efficiency on cancer risk.

Ultrasensitive plasma ctDNA KRAS assay for detection, prognosis, and assessment of therapeutic response in patients with unresectable pancreatic ductal adenocarcinoma

Precision oncology requires sensitive and specific clinical biomarkers. Carbohydrate Antigen 19-9 (CA19-9) is widely used in pancreatic ductal adenocarcinoma (PDA) but lacks sensitivity and specificity. Nearly all PDAs harbor somatic KRAS mutations, nominating circulating tumor DNA (ctDNA) KRAS as an alternative disease biomarker, however, variable clinical performance has limited its clinical utility. We applied an ultrasensitive, PCR mutation enrichment, next generation sequencing ctDNA KRAS assay in a large cohort of patients with unresectable PDA (N = 189) recruited to the BIOPAC study between 2008-2015. Baseline and longitudinal serum CA19-9 and plasma ctDNA KRAS were correlated with time to progression (TTP) and overall survival (OS). Baseline ctDNA KRAS detection rate was 93.7% (86.4% in patients with non-elevated CA19-9). ctDNA KRAS and CA19-9 were positively correlated yet independently associated with TTP and OS (ctDNA KRAS p = 0.0018 and 0.0014; CA19-9 p = 0.0294 and 0.0007, respectively). A generated model quantitating longitudinal ctDNA KRAS correctly assessed greater than 80% of patient responses. Quantitative detection of KRAS ctDNA is an informative prognostic biomarker, complementary to CA19-9 in patients with unresectable PDA. Longitudinal ctDNA KRAS may inform therapeutic decision making and provides a kinetically dynamic and quantitative metric of patient response.

Prognostic impact of carbohydrate antigen 19-9 level at diagnosis in resected stage I-III pancreatic adenocarcinoma: a U.S. population study

BACKGROUND

Pancreatic adenocarcinoma is a highly aggressive cancer, with surgical resection and systemic therapy offering the only hope for long-term survival. Carbohydrate antigen 19-9 (CA 19-9) has been used as a prognostic marker after resection; however, the relationship between survival and pre-treatment CA 19-9 level remains unclear. This study evaluates pre-treatment serum CA 19-9 level as a predictor for long-term survival.

METHODS

The U.S. National Cancer Data Base [2004-2012] was reviewed for patients with clinical stages I-III resected pancreatic adenocarcinoma with recorded pre-treatment CA 19-9 levels (U/mL). Kaplan Meier and Weibull survival analyses were performed.

RESULTS

Four thousand seven hundred and one patients were included: 12.6% received neoadjuvant therapy (NAT), 27.4% underwent surgery, and 60.1% underwent surgery and adjuvant therapy. Amongst those who underwent initial surgery, there was no association between CA 19-9 levels ≤800 (≤100, 101-300, 301-500, 501-800) with survival (stage I P=0.7592, stage II P=0.5088, stage III P=0.9037). Levels >800 were associated with significantly worse survival in all stages (P≤0.0001, all). Amongst those who received NAT, levels >800 were associated with worse survival in early (stage I P=0.0001), but not advanced stage disease (stage II P=0.1891, stage III P=0.9316). In multivariable analyses, levels >800 demonstrated a 3.29 greater hazard of mortality with respect to patients with levels ≤100 (P<0.0001).

CONCLUSIONS

Pre-treatment CA 19-9 levels >800 appear to be associated with advanced disease, and are negatively associated with long-term survival. However, levels ≤800 had no significant association with survival. Although this study suggests an association, further study is needed to evaluate whether patients with CA 19-9 levels >800 benefit from NAT.

Detecting circulating tumor material and digital pathology imaging during pancreatic cancer progression

Pancreatic cancer (PC) is a leading cause of cancer-related death worldwide. Clinical symptoms typically present late when treatment options are limited and survival expectancy is very short. Metastatic mutations are heterogeneous and can accumulate up to twenty years before PC diagnosis. Given such genetic diversity, detecting and managing the complex states of disease progression may be limited to imaging modalities and markers present in circulation. Recent developments in digital pathology imaging show potential for early PC detection, making a differential diagnosis, and predicting treatment sensitivity leading to long-term survival in advanced stage patients. Despite large research efforts, the only serum marker currently approved for clinical use is CA 19-9. Utility of CA 19-9 has been shown to improve when it is used in combination with PC-specific markers. Efforts are being made to develop early-screening assays that can detect tumor-derived material, present in circulation, before metastasis takes a significant course. Detection of markers that identify circulating tumor cells and tumor-derived extracellular vesicles (EVs) in biofluid samples offers a promising non-invasive method for this purpose. Circulating tumor cells exhibit varying expression of epithelial and mesenchymal markers depending on the state of tumor differentiation. This offers a possibility for monitoring disease progression using minimally invasive procedures. EVs also offer the benefit of detecting molecular cargo of tumor origin and add the potential to detect circulating vesicle markers from tumors that lack invasive properties. This review integrates recent genetic insights of PC progression with developments in digital pathology and early detection of tumor-derived circulating material.

Current and future therapies for advanced pancreatic cancer

Pancreatic cancer remains a deadly disease with a 5-year survival rate of only 8%. Even after surgical resection, most patients have recurrence of their cancer. Over the last 10 years, improvements in chemotherapy regimens led to a doubling in median overall survival. Here we review the management of advanced pancreatic cancer and highlight vaccine therapy as a novel modality of treatment.

Patients with normal-range CA19-9 levels represent a distinct subgroup of pancreatic cancer patients

Pancreatic cancer remains a lethal disease that responds poorly to multiple types of treatment. Therefore, the identification of distinct subgroups that exhibit unique therapeutic responses is an urgent requirement. In the present multicenter study (1,912 cases), the differences between the therapeutic responses and clinical characteristics of two subgroups of pancreatic cancer, carbohydrate antigen 19-9 (CA19-9)-normal (baseline serum level, ≤37 U/ml) and CA19-9-elevated (baseline serum level, >37 U/ml), were analyzed. CA19-9-normal expression was identified to be an independent prognostic factor for patients with stage I-II [hazard ratio (HR)=0.77; P=0.037] and stage III-IV (HR=0.68; P<0.001) pancreatic cancer. The 5-year survival rate of the stage III-IV CA19-9-normal subgroup was increased compared with the stage I-II CA19-9-elevated subgroup (15.4 vs. 13.8%). In the stage I-II CA19-9-normal and CA19-9-elevated subgroups, gemcitabine-based chemotherapy was a significant positive prognostic factor for survival (CA19-9-normal, HR=0.54, P=0.013; CA19-9-elevated, HR=0.55, P<0.001). However, among stage III-IV patients, the CA19-9-normal subgroup exhibited a poor response to gemcitabine-based chemotherapy (HR=0.77; P=0.165), while the CA19-9-elevated subgroup exhibited a favorable response, resulting in a lower rate of mortality (HR=0.70; P<0.001) compared with no chemotherapy. It was concluded that CA19-9-normal pancreatic cancer is a less aggressive subgroup; however, advanced CA19-9-normal pancreatic cancer exhibits a poorer response to gemcitabine-based chemotherapy.

Endoscopic ultrasound-guided techniques for diagnosing pancreatic mass lesions: Can we do better?

The diagnostic approach to a possible pancreatic mass lesion relies first upon various non-invasive imaging modalities, including computed tomography, ultrasound, and magnetic resonance imaging techniques. Once a suspect lesion has been identified, tissue acquisition for characterization of the lesion is often paramount in developing an individualized therapeutic approach. Given the high prevalence and mortality associated with pancreatic cancer, an ideal approach to diagnosing pancreatic mass lesions would be safe, highly sensitive, and reproducible across various practice settings. Tools, in addition to radiologic imaging, currently employed in the initial evaluation of a patient with a pancreatic mass lesion include serum tumor markers, endoscopic retrograde cholangiopancreatography, and endoscopic ultrasound-guided fine needle aspiration (EUS-FNA). EUS-FNA has grown to become the gold standard in tissue diagnosis of pancreatic lesions.

Clinical significance of serum Wisteria floribunda agglutinin-positive Mac-2 binding protein in pancreatic ductal adenocarcinoma

BACKGROUND

Wisteria floribunda agglutinin-positive mac-2 binding protein (WFA⁺-M2BP) is an excellent biomarker for predicting hepatic fibrosis. We hypothesized WFA⁺-M2BP might be a serum biomarker for the diagnosis of chronic pancreatitis (CP) and pancreatic ductal adenocarcinoma (PDAC) with dense fibrosis.

METHODS

In this study, we included 16 CP and 24 PDAC patients. Serum levels of WFA⁺-M2BP (cut-off index [COI]) were compared between the 2 groups. To confirm the cellular production of WFA⁺-M2BP, we investigated the presence of WFA⁺-M2BP in HEK293 cells, 3 established human PDAC cell lines and a recently generated human PDAC cell line derived from a liver metastasis (MDA-PATC53). The bio-physiological effects of MDA-PATC53 supernatant were evaluated. Finally, the difference in the expression of glycosylation enzymes between MDA-PATC53 and Panc-1 were analyzed by cDNA microarray.

RESULTS

We found that the serum WFA⁺-M2BP level could distinguish the 2 groups. The median serum COI of WFA⁺-M2BP was 0.98 and 0.51 in PDAC and CP, respectively. Additionally, WFA⁺-M2BP positive PDACs were more frequently associated with metastatic lesions than the WFA⁺-M2BP negative PDACs (91.6% vs. 41.7%, P = 0.009). The MDA-PATC53 cells alone produced WFA⁺-M2BP. However, we found that MDA-PATC53 supernatant containing WFA⁺-M2BP (1.0 COI) did not alter the biological behavior of cancer cell lines. The results of cDNA microarray revealed that several glycosylation enzymes with pro-oncologic function were highly expressed in MDA-PATC53 compared to Panc-1.

CONCLUSIONS

Serum WFA⁺-M2BP can be a useful biomarker for the diagnosis of PDAC and the prediction of disease progression since it potentially reflects altered pro-oncologic glycosylation enzymes.

New-onset type 2 diabetes mellitus--A high-risk group suitable for the screening of pancreatic cancer?

BACKGROUND

Type 2 diabetes mellitus is widely considered to be associated with pancreatic cancer.

OBJECTIVE

To determine the incidence of pancreatic cancer in new-onset type 2 diabetic patients by measuring the serum level of CA 19-9 and performing abdominal ultrasonography (US).

PATIENTS AND METHODS

Consecutive type 2 diabetic patients in whom diabetes was diagnosed within 36 months were included in this prospective study. Serum CA 19-9 measurement and US were performed in all patients. If any of two was positive, abdominal computer tomography (CT) was carried out. Endoscopic ultrasound-guided fine needle aspiration or direct surgical referral was performed on patients with CT-identified lesions.

RESULTS

A total of 115 patients were enrolled. CA 19-9 was elevated in 10 patients but pancreatic cancer diagnosed in neither of them. Pancreatic cancer was revealed by morphological means in three patients without elevated CA 19-9 level. The sensitivity, specificity, positive-, negative predictive values and validity were 0%, 90.4%, 0%, 97.9% and 87.9% for CA 19-9, 66.7%, 100%, 100%, 99% and 99% for US, respectively. The value of the Standardized Incidence Ratio for pancreatic cancer in new-onset type-2 diabetic patients was 198.6 (95% CI = 6.25-46.9).

CONCLUSIONS

The prevalence of pancreatic cancer in patients with new-onset type-2 diabetes is significantly higher than that in the general population and screening is beneficial for detecting PaC in this patient population. CA 19-9 and US is not reliable screening modality for pancreatic cancer screening in this population.

Improving pancreatic cancer diagnosis using circulating tumor cells: prospects for staging and single-cell analysis

Pancreatic cancer (PC) is the fourth most common cause of cancer-related death in the USA, primarily due to late presentation coupled with an aggressive biology. The lack of adequate biomarkers for diagnosis and staging confound clinical decision-making and delay potentially effective therapies. Circulating tumor cells (CTCs) are a promising new biomarker in PC. Preliminary studies have demonstrated their potential clinical utility, and newer CTC isolation platforms have the potential to provide clinicians access to tumor tissue in a reliable, real-time manner. Such a 'liquid biopsy' has been demonstrated in several cancers, and small studies have demonstrated its potential applications in PC. This article reviews the available literature on CTCs as a biomarker in PC and presents the latest innovations in CTC research as well as their potential applications in PC.

Huachansu injection inhibits metastasis of pancreatic cancer in mice model of human tumor xenograft

Background

Huachansu injection (HCS) is a water-soluble preparation made from Bufo gargarizans’s skin, which has been widely used in clinics for tumor therapy in China. Though the anti-cancer activity of HCS has been verified through studies in vitro and in vivo, there is little research about its potential anti-metastasis effect. The primary objective of this study was to assess the effects of HCS on both the invasion of pancreatic cancer cells in vitro and on the progression of liver metastasis in vivo in this study.

Methods

HCS anti-metastasis potential was accessed using both assay of Cell viability and invasion in vitro, and then further Establishing xenograft model in nude mice. In the cell-based assay, mRNA and protein expression of MMP-2, MMP-9 and VEGF was detected by semi-quantitative RT-PCR and western blotting. In animal experiment, liver metastasis nodules and change of liver-body ratio was observed. Meanwhile, correlation of the CA19-9 and CEA content in serum with the progression of liver metastasis was analyzed.

Result

We observed that HCS prevented the invasion of cancer cells, with inhibiting the expressions of MMP-2 and MMP-9, and reduced not only the number of metastasis nodules but the ratio of liver-body weight as well. Furthermore, HCS decreased the expression of MMP-2, MMP-9 and VEGF in liver metastasis, while also reducing CA19-9 contents in serum. In addition, correlation analysis indicated that the level of CA19-9 in serum was closely related to the number of liver metastasis nodules.

Conclusion

Our experimental results suggest that HCS has some anti-metastasis potential to suppress the growth of liver metastasis by decreasing the expression of MMP-2 and MMP-9 as well as VEGF.

Electronic supplementary material

The online version of this article (doi:10.1186/1472-6882-14-483) contains supplementary material, which is available to authorized users.

Quantitative analysis of single amino acid variant peptides associated with pancreatic cancer in serum by an isobaric labeling quantitative method

Single amino acid variations are highly associated with many human diseases. The direct detection of peptides containing single amino acid variants (SAAVs) derived from nonsynonymous single nucleotide polymorphisms (SNPs) in serum can provide unique opportunities for SAAV associated biomarker discovery. In the present study, an isobaric labeling quantitative strategy was applied to identify and quantify variant peptides in serum samples of pancreatic cancer patients and other benign controls. The largest number of SAAV peptides to date in serum including 96 unique variant peptides were quantified in this quantitative analysis, of which five variant peptides showed a statistically significant difference between pancreatic cancer and other controls (p-value < 0.05). Significant differences in the variant peptide SDNCEDTPEAGYFAVAVVK from serotransferrin were detected between pancreatic cancer and controls, which was further validated by selected reaction monitoring (SRM) analysis. The novel biomarker panel obtained by combining α-1-antichymotrypsin (AACT), Thrombospondin-1 (THBS1) and this variant peptide showed an excellent diagnostic performance in discriminating pancreatic cancer from healthy controls (AUC = 0.98) and chronic pancreatitis (AUC = 0.90). These results suggest that large-scale analysis of SAAV peptides in serum may provide a new direction for biomarker discovery research.

Glycoprotein biomarker panel for pancreatic cancer discovered by quantitative proteomics analysis

Pancreatic cancer is a lethal disease where specific early detection biomarkers would be very valuable to improve outcomes in patients. Many previous studies have compared biosamples from pancreatic cancer patients with healthy controls to find potential biomarkers. However, a range of related disease conditions can influence the performance of these putative biomarkers, including pancreatitis and diabetes. In this study, quantitative proteomics methods were applied to discover potential serum glycoprotein biomarkers that distinguish pancreatic cancer from other pancreas related conditions (diabetes, cyst, chronic pancreatitis, obstructive jaundice) and healthy controls. Aleuria aurantia lectin (AAL) was used to extract fucosylated glycoproteins and then both TMT protein-level labeling and label-free quantitative analysis were performed to analyze glycoprotein differences from 179 serum samples across the six different conditions. A total of 243 and 354 serum proteins were identified and quantified by label-free and TMT protein-level quantitative strategies, respectively. Nineteen and 25 proteins were found to show significant differences in samples between the pancreatic cancer and other conditions using the label-free and TMT strategies, respectively, with 7 proteins considered significant in both methods. Significantly different glycoproteins were further validated by lectin-ELISA and ELISA assays. Four candidates were identified as potential markers with profiles found to be highly complementary with CA 19–9 (p < 0.001). Obstructive jaundice (OJ) was found to have a significant impact on the performance of every marker protein, including CA 19–9. The combination of α-1-antichymotrypsin (AACT), thrombospondin-1 (THBS1), and haptoglobin (HPT) outperformed CA 19–9 in distinguishing pancreatic cancer from normal controls (AUC = 0.95), diabetes (AUC = 0.89), cyst (AUC = 0.82), and chronic pancreatitis (AUC = 0.90). A marker panel of AACT, THBS1, HPT, and CA 19–9 showed a high diagnostic potential in distinguishing pancreatic cancer from other conditions with OJ (AUC = 0.92) or without OJ (AUC = 0.95).

A genome wide association study of genetic loci that influence tumour biomarkers cancer antigen 19-9, carcinoembryonic antigen and α fetoprotein and their associations with cancer risk

OBJECTIVE

Tumour biomarkers are used as indicators for cancer screening and as predictors for therapeutic responses and prognoses in cancer patients. We aimed to identify genetic loci that influence concentrations of cancer antigen 19-9 (CA19-9), carcinoembryonic antigen (CEA) and α fetoprotein (AFP), and investigated the associations between the significant single nucleotide polymorphisms (SNPs) with risks of oesophageal squamous cell (OSCC), pancreatic and hepatocellular cancers.

DESIGN

We carried out a genome wide association study on plasma CA19-9, CEA and AFP concentrations in 3451 healthy Han Chinese and validated the results in 10 326 individuals. Significant SNPs were further investigated in three case control studies (2031 OSCC cases and 2044 controls; 981 pancreatic cancer cases and 1991 controls; and 348 hepatocellular cancer cases and 359 controls).

RESULTS

The analyses showed association peaks on three genetic loci for CA19-9 (FUT6-FUT3 at 19p13.3, FUT2-CA11 at 19q13.3 and B3GNT3 at 19p13.1; p=1.16×10(-13)-3.30×10(-290)); four for CEA (ABO at 9q34.2, FUT6 at 19p13.3, FUT2 at 19q13.3 and FAM3B at 21q22.3; p=3.33×10(-22)-5.81×10(-209)); and two for AFP (AFP at 4q11-q13 and HISPPD2A at 15q15.3; p=3.27×10(-18) and 1.28×10(-14)). These explained 17.14% of the variations in CA19-9, 8.95% in CEA and 0.57% in AFP concentrations. Significant ABO variants were also associated with risk of OSCC and pancreatic cancers, and AFP variants with risk of hepatocellular cancer (p<0.05).

CONCLUSIONS

This study identified several loci associated with CA19-9, CEA and AFP concentrations. The ABO variants were associated with risk of OSCC and pancreatic cancers and AFP variants with risk of hepatocellular cancer.

Clinical significance and revisiting the meaning of CA 19-9 blood level before and after the treatment of pancreatic ductal adenocarcinoma: analysis of 1,446 patients from the pancreatic cancer cohort in a single institution

Background

Life expectancy of pancreatic ductal adenocarcinoma (PDAC) patients is usually short and selection of the most appropriate treatment is crucial. The aim of this study was to investigate the usefulness of serum CA 19-9 as a surrogate marker under no impress excluding other factors affecting CA 19-9 level other than tumor itself.

Methods

We recruited 1,446 patients with PDACs and patients with Lewis antigen both negative or obstructive jaundice were excluded to eliminate the false effects on CA 19-9 level. The clinicopathologic factors were reviewed including initial and post-treatment CA 19-9, and statistical analysis was done to evaluate the association of clinicopathologic factors with overall survival (OS).

Results

The total of 944 patients was enrolled, and205 patients (22%) underwent operation with curative intention and 541 patients (57%) received chemotherapy and/or radiotherapy. The median CA 19-9 levels of initial and post-treatment were 670 IU/ml and 147 IU/ml respectively. The prognostic factors affecting OS were performance status, AJCC stage and post-treatment CA 19-9 level in multivariate analysis. Subgroup analysis was done for the patients who underwent R0 and R1 resection, and patients with normalized post-operative CA 19-9 (≤37 IU/mL) had significantly longer OS and DFS regardless of initial CA 19-9 level; 32 vs. 18 months, P<0.001, 16 vs. 9 months, P = 0.004 respectively.

Conclusions

Post-treatment CA 19-9 and normalized post-operative CA 19-9 (R0 and R1 resected tumors) were independent factors associated with OS and DFS, however, initial CA 19-9 level was not statistically significant in multivariate analysis.

The pretreatment platelet and plasma fibrinogen level correlate with tumor progression and metastasis in patients with pancreatic cancer

Cancer patients frequently present with activated coagulation pathways and thrombocytosis, which are potentially associated with tumor progression and prognosis. However, the prognostic value of abnormal plasma fibrinogen and platelet levels for the treatment of pancreatic cancer is unclear. The purpose of our study was to evaluate the prognostic value of plasma fibrinogen and platelet levels in pancreatic cancer, and to devise a prognostic model to identify the patients with greatest risk for a poor overall survival. One hundred and twenty-five patients diagnosed with pancreatic ductal adenocarcinoma in our hospital between May 2000 and June 2005 were included in this study. The plasma fibrinogen and platelet levels were examined before treatment and analyzed along with patient clinicopathological parameters and overall survival. The foundation of prognostic model was based on the risk factors according to the Cox proportional hazard model. The incidence of hyperfibrinogenemia and thrombocytosis was 24.8% (31/125) and 15.2% (19/125), respectively. The mean fibrinogen concentration differed significantly between the early (I/II) and late (III/IV) stage patients (3.19 ± 0.70 vs. 3.65 ± 0.90 g/l, p = 0.008). Patients with a higher concentration of plasma fibrinogen and platelets had a worse prognosis (p < 0.05). There also existed a significant correlation between higher fibrinogen/platelet levels and distant organ metastasis (p < 0.05, respectively). Bivariate correlation analysis showed that plasma fibrinogen levels correlated significantly with platelet levels (p = 0.000). Multivariate analysis revealed that pretreatment plasma fibrinogen levels (p = 0.027), tumor stage (p = 0.026) and distant metastasis (p = 0.027) were independent prognostic factors. The median survival time for the low-, intermediate-, and high-risk groups was 9.6 months (95% CI 6.2-13.0), 3.8 months (95% CI 2.3-5.3), and 2.3 months (95% CI 0.9-3.7), respectively (p = 0.000). Pretreatment plasma fibrinogen and platelet levels closely correlated with tumor progression, metastasis and overall survival in pancreatic cancer. The foundation of prognostic model may help us identify the greatest risk populations with pancreatic cancer.

Ultradepletion of human plasma using chicken antibodies: a proof of concept study

Human plasma arguably represents the most comprehensive version of the human proteome. Despite its immense theoretical discovery potential, plasma has many high and medium abundance proteins that mask low abundance protein disease biomarkers of relevance, making the discovery of novel diagnostic markers particularly difficult. Some form of protein depletion and/or fractionation is essential in order to detect markers of low abundance. Here, we describe a "proof of concept" two-pronged approach to immunodeplete abundant proteins from human plasma. The method, called API (Abundant Protein Immunodepletion), involves the fractionation of plasma using dual ion exchange columns (protein repetitive orthogonal offline fractionation (PROOF)) to simplify the proteome, the production of polyclonal IgY against each fraction and finally using the purified antibodies in a immunodepletion column. We explored the use of this product for immunodepletion of human plasma and identified a total of 165 nonredundant proteins after depletion. Of these, 38 proteins that were not previously identified in nondepleted plasma were now detected. It is envisaged that further optimization of the method as well as its cyclic implementation (by reinjecting depleted plasma into chickens for second round of antibody production) can make this technology highly robust, extremely cost-effective, and ideal for high throughput biomarker discovery.

Neutrophil gelatinase-associated lipocalin, macrophage inhibitory cytokine 1, and carbohydrate antigen 19-9 in pancreatic juice: pathobiologic implications in diagnosing benign and malignant disease of the pancreas

OBJECTIVE

Pancreatic diseases pose significant diagnostic challenge as signs and symptoms often overlap. We investigated the potential of pancreatic juice neutrophil gelatinase-associated lipocalin, macrophage inhibitory cytokine 1 (MIC-1), and carbohydrate antigen 19-9 (CA19-9) to aid in the diagnosis of patients with symptoms suggestive of pancreatic diseases.

METHODS

A total of 105 chronic pancreatitis (CP), pancreatic cancer (PC), and nonpancreatic nonhealthy (patients with symptoms mimicking pancreatic disease but found to be free of any pancreatic disease) patients underwent endoscopic pancreatic juice collection after secretin stimulation. Neutrophil gelatinase-associated lipocalin and MIC-1 levels were measured by enzyme-linked immunosorbent assay, whereas CA19-9 was measured by radioimmunoassay.

RESULTS

Neutrophil gelatinase-associated lipocalin, MIC-1, and CA19-9 were significantly elevated in the pancreatic juice of patients with CP and patients with PC as compared with nonpancreatic nonhealthy controls (P ≤ 0.034). Neutrophil gelatinase-associated lipocalin seemed most promising in differentiating diseased versus nondiseased pancreata (areas under the curve, 0.88-0.91), whereas MIC-1 was found to be higher in patients with PC than in patients with CP (P = 0.043). Interestingly, MIC-1 levels in diabetic patients with PC were higher than in nondiabetic patients with PC (P = 0.030) and diabetic patients with CP (P = 0.087). Carbohydrate antigen 19-9 showed the least ability to distinguish patient groups (areas under the curve, 0.61-0.76).

CONCLUSIONS

Pancreatic juice neutrophil gelatinase-associated lipocalin shows potential utility in establishing pancreatic etiology in the context of nonspecific symptoms, whereas MIC-1 may aid in differentiating PC from CP.

CA19-9 and CA242 as tumor markers for the diagnosis of pancreatic cancer: a meta-analysis

Pancreatic cancer has the worst prognosis of any gastrointestinal cancer, with the mortality approaching the incidence. Early detection is crucial for improving patient prognosis. We therefore performed a meta-analysis to evaluate and compare the sensitivity and specificity of CA19-9 and CA242 in pancreatic cancer. We searched PubMed, EMBASE, and the Cochrane Library for studies that evaluated the diagnostic validity of CA19-9 and CA242 between January 1966 and March 2011. Meta-analysis methods were used to pool sensitivity and specificity and to construct a summary receiver-operating characteristic (SROC) curve. A total of 11 studies that included 2,316 patients who fulfilled all of the inclusion criteria were considered for analysis. The pooled sensitivities for CA242 and CA19-9 were 0.719 (95 % confidence interval [CI] 0.690-0.746) and 0.803 (95 % CI 0.777-0.826), respectively. The pooled specificities of CA242 and CA19-9 were 0.868 (95 % CI 0.849-0.885) and 0.802 (95 % CI 0.780-0.823), respectively. The diagnostic odds ratio (DOR) estimate was significantly higher for CA242 (16.261) than for CA19-9 (15.637). Our meta-analysis showed that CA242 and CA19-9 could play different roles in the diagnosis of pancreatic cancer. Although the sensitivity of CA242 is lower than that of CA19-9, its specificity is greater.

The clinical utility of CA 19-9 in pancreatic adenocarcinoma: diagnostic and prognostic updates

CA 19-9 and CEA are the most commonly used biomarkers for diagnosis and management of patients with pancreatic cancer. Since the original compendium by Steinberg in 1990, numerous studies have reported the use of CA 19-9 and, to a lesser extent, CEA in the diagnosis of pancreatic cancer. Here we update an evaluation of the accuracy of CA 19-9 and CEA, and, unlike previous reviews, focus on discrimination between malignant and benign disease instead of normal controls. In 57 studies involving 3,285 pancreatic carcinoma cases, the combined sensitivity of CA 19-9 was 78.2% and in 37 studies involving 1,882 cases with benign pancreatic disease the specificity of CA 19-9 was 82.8%. From the combined analysis of studies reporting CEA, the sensitivity was 44.2% (1,324 cases) and the specificity was 84.8% (656 cases). These measurements more appropriately reflect the expected biomarker accuracy in the differential diagnosis of patients with periampullary diseases. We also present a summary of the use of CA 19-9 as a prognostic tool and evaluate CA 19-9 diagnostic and prognostic utility in a 10-year, single institution experience.

Differential gene expression analysis of peripheral blood mononuclear cells reveals novel test for early detection of pancreatic cancer

BACKGROUND

We sought to validate global microarray results indicating the differential expression of 383 genes in Peripheral Blood Mononuclear Cells (PBMCs) from patients with pancreatic cancer (PC) and to further evaluate their PC diagnostic potential.

METHODS AND MATERIALS

In total, 177 patients were recruited (47 healthy controls (HC), 35 chronic pancreatitis (CP) patients, and 95 PC patients). PBMC expressions of six genes from our previous study (ANXA3, ARG1, CA5B, F5, SSBP2, and TBC1D8) along with four new genes (MIC1, NGAL, MUC1, and MUC16) were analyzed using multiplex Q-RT PCR.

RESULTS

Differential expressions of 5 of the 6 genes previously identified by PBMC microarray were validated in this study. Multivariate models for PBMC gene expression were attempted to determine if any combination was diagnostically superior to CA19-9 alone. We found that addition of PBMC CA5B, F5, SSBP2, and MIC1 expression levels to CA19-9 significantly improved CA19-9's diagnostic abilities when comparing resectable PC to CP patients (p=0.023).

CONCLUSIONS

Results of our previous study were validated, indicating reproducibility of PC-associated PBMC expression profiling. We identified a score-based model that can differentiate resectable PC from CP better than CA19-9, potentiating that PBMC differential expression analysis may offer a novel tool for early PC diagnosis.