CEACAM1, a novel serum biomarker for pancreatic cancer

RGS16 and FosB underexpressed in pancreatic cancer with lymph node metastasis promote tumor progression

Lymph node (LN) metastasis is one of the most important adverse prognostic factors for pancreatic cancer. The aim of this study was to identify novel lymphatic metastasis-associated markers for pancreatic cancer. DNA microarray analysis was used to determine and compare the expression profiles of 17 pancreatic cancer tissues with LN metastasis and 17 pancreatic cancer tissues without LN metastasis. The microarray results were validated by real-time reverse transcription-polymerase chain reaction and immunohistochemistry. Only 58 genes were differentially expressed between the two groups with a difference in signal intensity ratio greater than a 1.5-fold change. Of these genes, 30 were significantly down-regulated in the LN metastasis group. Among five selected down-regulated genes for validation using real-time PCR, the expression of DST, FosB, RGS16, and CXCL12 was significantly lower in the LN metastasis group. Immunohistochemical analysis confirmed RGS16 and FosB underexpression in pancreatic cancer tissues with LN metastasis. RGS16 and FosB underexpression was associated with poor patient survival. Our findings show that RGS16 and FosB are underexpressed in pancreatic cancer with lymph node metastasis and associated with reduced survival, suggesting that RGS16 and FosB might be prognostic markers for pancreatic cancer.

Membrane proteomic analysis of pancreatic cancer cells

Background

Pancreatic cancer is one of the most aggressive human tumors due to its high potential of local invasion and metastasis. The aim of this study was to characterize the membrane proteomes of pancreatic ductal adenocarcinoma (PDAC) cells of primary and metastatic origins, and to identify potential target proteins related to metastasis of pancreatic cancer.

Methods

Membrane/membrane-associated proteins were isolated from AsPC-1 and BxPC-3 cells and identified with a proteomic approach based on SDS-PAGE, in-gel tryptic digestion and liquid chromatography with tandem mass spectrometry (LC-MS/MS). X! Tandem was used for database searching against the SwissProt human protein database.

Results

We identified 221 & 208 proteins from AsPC-1 and BxPC-3 cells, respectively, most of which are membrane or membrane-associated proteins. A hundred and nine proteins were found in both cell lines while the others were present in either AsPC-1 or BxPC-3 cells. Differentially expressed proteins between two cell lines include modulators of cell adhesion, cell motility or tumor invasion as well as metabolic enzymes involved in glycolysis, tricarboxylic acid cycle, or nucleotide/lipid metabolism.

Conclusion

Membrane proteomes of AsPC-1 (metastatic) and BxPC-3 (primary) cells are remarkably different. The differentially expressed membrane proteins may serve as potential targets for diagnostic and therapeutic interventions.

Serum tumor markers in pancreatic cancer-recent discoveries

The low prevalence of pancreatic cancer remains an obstacle to the development of effective screening tools in an asymptomatic population. However, development of effective serologic markers still offers the potential for improvement of diagnostic capabilities, especially for subpopulations of patients with high risk for pancreatic cancer. The accurate identification of patients with pancreatic cancer and the exclusion of disease in those with benign disorders remain important goals. While clinical experience largely dismissed many candidate markers as useful markers of pancreatic cancer, CA19-9 continues to show promise. The present review highlights the development and the properties of different tumor markers in pancreatic cancer and their impact on the diagnostic and treatment of this aggressive disease.

New frontiers in pancreatic cancer research

Pancreatic adenocarcinoma (PDA) is a highly lethal and aggressive malignancy with high mortality rates. It is critical to evaluate novel therapeutic strategies and targets for the treatment of this disease. In this article, the authors describe the important areas of focus in pancreatic cancer research, recent advances in these areas, and novel approaches that have the potential to bring about positive patient outcomes in this lethal disease. This article also focuses on recent developments in identifying new, more sensitive, and more specific blood biomarkers with potential use in the early detection of PDA.

Systemic dysregulation of CEACAM1 in melanoma patients

It was previously shown that CEACAM1 on melanoma cells strongly predicts poor outcome. Here, we show a statistically significant increase of serum CEACAM1 in 64 active melanoma patients, as compared to 48 patients with no evidence of disease and 37 healthy donors. Among active patients, higher serum CEACAM1 correlated with LDH values and with decreased survival. Multivariate analysis with neutralization of LDH showed that increased serum CEACAM1 carries a hazard ratio of 2.40. In vitro, soluble CEACAM1 was derived from CEACAM1(+), but neither from CEACAM1(-) melanoma cells nor from CEACAM1(+) lymphocytes, and directly correlated with the number of CEACAM1(+) melanoma cells. Production of soluble CEACAM1 depended on intact de novo protein synthesis and secretion machineries, but not on metalloproteinase function. An unusually high percentage of CEACAM1(+) circulating NK and T lymphocytes was demonstrated in melanoma patients. CEACAM1 inhibited killing activity in functional assays. CEACAM1 expression could not be induced on lymphocytes by serum from patients with high CEACAM1 expression. Further, expression of other NK receptors was impaired, which collectively indicate on a general abnormality. In conclusion, the systemic dysregulation of CEACAM1 in melanoma patients further denotes the role of CEACAM1 in melanoma and may provide a basis for new tumor monitoring and prognostic platforms.

Bioinformatics and systems biology of cancers

Molecular databases and bioinformatics methods and tools are essential for modern cancer research. Multilevel analyses of all the protein-coding genes, thousands of proteins, and hundreds of metabolites require integration in terms of signaling and metabolic pathways and networks. This chapter provides background and examples of genomic, gene expression, epigenomic, proteomic, and metabolomic investigations of cancer progression and emergence of invasive and metastatic properties of cancers.

Advances in pancreatic cancer detection

Pancreatic cancer represents a major challenge for research studies and clinical management. No specific tumor marker for the diagnosis of pancreatic cancer exists. Therefore, extensive genomic, transcriptomic, and proteomic studies are being developed to identify candidate markers for use in high-throughput systems capable of large cohort screening. Understandably, the complex pathophysiology of pancreatic cancer requires sensitive and specific biomarkers that can improve both early diagnosis and therapeutic monitoring. The lack of a single diagnostic marker makes it likely that only a panel of biomarkers is capable of providing the appropriate combination of high sensitivity and specificity. Biomarker discovery using novel technology can improve prognostic upgrading and pinpoint new molecular targets for innovative therapy.

Translational advances and novel therapies for pancreatic ductal adenocarcinoma: hope or hype?

Biological complexity, inaccessible anatomical location, nonspecific symptoms, lack of a screening biomarker, advanced disease at presentation and drug resistance epitomise pancreatic ductal adenocarcinoma (PDA) as a poor-prognosis, lethal disease. Twenty-five years of research (basic, translational and clinical) have barely made strides to improve survival, mainly because of a fundamental lack of knowledge of the biological processes initiating and propagating PDA. However, isolation of pancreas cancer stem cells or progenitors, whole-genome sequencing for driver mutations, advances in functional imaging, mechanistic dissection of the desmoplastic reaction and novel targeted therapies are likely to shed light on how best to treat PDA. Here we summarise current knowledge and areas where the field is advancing, and give our opinion on the research direction the field should be focusing on to better deliver promising therapies for our patients.

Biomarkers in the diagnosis and early detection of pancreatic cancer

BACKGROUND

Pancreatic cancer, owing to its raising incidence and aggressiveness, is a major challenge, both for research and for clinical management. As pancreatic cancer has a complex pathophysiology, in addition to improving the methods of early diagnosis, sensitive and specific biomarkers are a prerequisite.

OBJECTIVE

As there is no specific tumor marker for pancreatic cancer diagnosis, extensive genomics/transcriptomics and proteomics studies have been developed with the aim of finding candidate markers and contributing to high-throughput systems for large cohort screening.

METHODS

A literature review was done to study these biomarkers in relation to diagnosis, prognosis and therapy targets in pancreatic cancer.

RESULTS/CONCLUSION

For early diagnosis improvement, only a panel of soluble biomarkers could provide the appropriate combination between high sensitivity and specificity. Prognostic upgrading would benefit from biomarker discovery and validation performed on tumor tissue. New technology could delineate molecular targets for innovative therapy in pancreatic cancer.

[CEACAM1 as a central modulator of metabolism, tumor progression, angiogenesis and immunity]

CEACAM1 (carcinoembryonic antigen cell adhesion molecule 1), a member of the immunoglobulin (Ig) superfamily, is a heavily glycosylated protein. This glycoprotein exhibits an intracytoplasmic region that can be either long (71-73 amino acids) with two inhibitory tyrosine-phosphorylated motifs and several phosphorylated serine residues, or short (10 amino acid). CEACAM1 is a multifunctional protein that plays a role in intercellular adhesion, as an inhibitor of tumor development, as a bacterial adhesin, and as a receptor for the mouse hepatitis virus. Moreover, CEACAM1 is an active regulator of cell signaling, modulating the insulin or EGF receptor pathways in epithelial cells or the Zap-70 pathway in hematopoietic cells. The recent development of genetically modified mouse models altering the Ceacam1 gene corroborates most of these data, but also highlights CEACAM1's functional complexity. Thus, in addition to the functions identified previously, CEACAM1 is an important regulator of lipid metabolism, of tumor progression as a regulator of the Wnt signaling pathway, of normal and tumor neo-angiogenesis and of immunity.

CEACAM1: a novel urinary marker for bladder cancer detection

BACKGROUND

Carcinoembryonic antigen-related cell adhesion molecule 1 (biliary glycoprotein; CEACAM1) is expressed in normal bladder urothelium and in angiogenically activated endothelial cells, where it exhibits proangiogenic properties.

OBJECTIVE

The aim of this study was to evaluate the value of urinary CEACAM1 for detection of urothelial carcinoma of the bladder (UCB).

DESIGN, SETTING, AND PARTICIPANTS

This prospective study included 175 patients.

MEASUREMENTS

Immunohistochemistry for CEACAM1 was performed on UCB sections of 10 patients. Enzyme-linked immunosorbent assay (ELISA) for CEACAM1 was performed on urine specimens of healthy volunteers (n=30), patients with benign prostatic hyperplasia (BPH; n=5), severe cystitis (n=5), non-muscle-invasive UCB (n=72), muscle-invasive UCB (n=21), or past history of UCB without evidence of disease (n=42). Western blot analysis was performed on a subgroup of these subjects (n=53).

RESULTS AND LIMITATIONS

CEACAM1 immunostaining in normal urothelium disappears in noninvasive UCB but appears in endothelial cells of adjacent vessels. Western blotting revealed presence of CEACAM1 in the urine of no healthy volunteers, of 76% of noninvasive UCB patients, and of 100% of invasive UCB patients. ELISA analysis confirmed that urinary CEACAM1 levels were significantly higher in UCB patients compared with control subjects (median: 207 ng/ml vs 0 ng/ml; p<0.001). The area under the curve for UCB detection was 0.870 (95% confidence interval [CI]: 0.810-0.931). In multivariable logistic regression analyses that adjusted for the effects of age and gender, higher CEACAM1 levels were associated with cancer presence (hazard ratio [HR]: 2.89; 95% CI: 2.01-4.15; p<0.001) and muscle-invasive cancer (HR: 5.53; 95% CI: 1.68-18.24; p=0.005). The cut-off level of 110 ng/ml yielded sensitivity of 74% and specificity of 95% for detecting UCB. Sensitivity was 88% for detecting high-grade UCB and 100% for detecting invasive-stage UCB. Larger studies are necessary to establish the diagnostic and prognostic roles of this highly promising novel marker in UCB.

CONCLUSIONS

Urinary CEACAM1 levels discriminate UCB patients from non-UCB subjects. Moreover, urinary levels of CEACAM1 increased with advancing stage and grade.

A compendium of potential biomarkers of pancreatic cancer

Akhilesh Pandey and colleagues describe a compendium of potential biomarkers that can be systematically validated by the pancreatic cancer community.

Improved diagnosis of pancreatic adenocarcinoma using haptoglobin and serum amyloid A in a panel screen

BACKGROUND

Timely, accurate diagnosis of pancreatic adenocarcinoma (PA) is hampered by the lack of effective circulating biomarkers. No single test has emerged that improves upon the commonly used biomarker cancer antigen 19-9 (CA 19-9) to discriminate PA from benign conditions effectively. The goals of this study were to validate two acute-phase proteins, haptoglobin and serum amyloid A (SAA), as biomarkers for PA and determine if the combination of haptoglobin, SAA, and CA 19-9 would improve PA diagnosis over CA 19-9 alone.

METHODS

Levels of haptoglobin, SAA, and CA 19-9 were measured in pretreatment sera from 75 PA patients, 32 patients with chronic pancreatitis, 42 patients with other benign pancreatic disease or biliary stricture, and 150 healthy control subjects by enzyme-linked immunosorbent assay or colorimetric binding assay. Relative levels of haptoglobin or SAA were compared between groups using analysis of variance. The diagnostic accuracy of serum haptoglobin and SAA levels were investigated using receiver operating characteristics (ROC) analysis. Using classification tree analysis, an algorithm was developed that used haptoglobin, SAA, and CA 19-9 in a diagnostic screening panel.

RESULTS

Both haptoglobin and SAA were significantly elevated in sera from PA patients compared to healthy control subjects (p<0.0001) and patients with chronic pancreatitis (p=0.01). Haptoglobin was significantly elevated in sera from PA patients relative to patients with other benign diseases (p=0.0015), whereas SAA fell short of significance in the same comparison (p=0.0508). ROC analysis indicated that haptoglobin [area under the curve (AUC)=0.792] was a better diagnostic marker than SAA (AUC=0.691) over multiple threshold cutoffs. Using specific cutoffs that minimized overall misclassification, haptoglobin yielded a sensitivity of 82.7% and a specificity of 71.1%, and SAA yielded a sensitivity of 34.7% and a specificity of 90.2% when discriminating PA cases from all non-PA controls. In the same sample set, CA 19-9 yielded a sensitivity of 77.3% and a specificity of 91.1%. Combining data from haptoglobin, SAA, and CA 19-9 in a diagnostic screening panel improved the overall accuracy when compared to CA 19-9 alone, yielding a sensitivity of 81.3% and a specificity of 95.5%.

CONCLUSIONS

These data demonstrate that haptoglobin and SAA are useful for discriminating PA from benign conditions as well as healthy controls when used in a diagnostic screening panel. This study supports the use of combined biomarkers for improved accuracy in the diagnosis of PA.

Pancreatic cancer screening: state of the art

Pancreatic cancer is a devastating disease with a median survival of approximately 6 months after diagnosis. Many factors are associated with a worse outcome; examples include late diagnosis, low resection rate, aggressive tumor behavior and a lack of an effective chemotherapy regimen. Owing to the low prevalence of pancreatic cancer relative to the diagnostic accuracy of present detection methods and the absence of promising treatment modalities, even in early stages, it is currently neither advisable nor cost effective to screen the general population. Efforts are focused on early screening of selected high-risk-cohorts, who account for approximately 10% of patients with pancreatic cancer. These include patients with chronic pancreatitis, individuals with a family history of pancreatic cancer, patients with hereditary pancreatitis, Peutz-Jeghers syndrome, cystic fibrosis or familial atypical multiple mole melanoma. At present, a multimodal-screening approach of endoscopic ultrasound, computed tomography and endoscopic retrograde cholangiopancreatography appears to be the most effective method to screen for pancreatic cancer in high-risk patients. Continued efforts are needed to elucidate effective testing to identify patients with nonhereditary risk factors who will benefit from screening protocols. A combined approach of serum markers, genetic markers and specific imaging studies may prove to be the future of pancreatic screening.

Analysis of microRNAs in pancreatic fine-needle aspirates can classify benign and malignant tissues

BACKGROUND

MicroRNAs (miRNAs) are RNA molecules that are involved in the regulation of many cellular processes, including those related to human cancers. The aim of this study was to determine, as a proof of principle, whether specific candidate miRNAs could be detected in fine-needle aspirate (FNA) biopsies of pancreatic ductal adenocarcinoma (PDAC) and could accurately differentiate malignant from benign pancreatic tissues.

METHODS

We used TaqMan(R) assays to quantify miRNA levels in FNA samples collected in RNARetain (n = 16) and compared the results with a training set consisting of frozen macrodissected pancreatic samples (n = 20).

RESULTS

Quantitative reverse-transcription PCR analysis confirmed that miRNA levels are affected in PDAC FNAs and correlate well with the changes observed in the training set of frozen pancreatic samples. Analysis of the amounts produced for a few specific miRNAs enabled identification of PDAC samples. The combination of miR-196a and miR-217 biomarkers further improved the ability to distinguish between healthy tissue, PDAC, and chronic pancreatitis in the training set (P = 8.2 x 10(-10)), as well as segregate PDAC FNA samples from other FNA samples (P = 1.1 x 10(-5)). Furthermore, we showed that miR-196a production is likely specific to PDAC cells and that its incidence paralleled the progression of PDAC.

CONCLUSIONS

To the best of our knowledge, this study is the first to evaluate the diagnostic potential of miRNAs in a clinical setting and has shown that miRNA analysis of pancreatic FNA biopsy samples can aid in the pathologic evaluation of suspicious cases and may provide a new strategy for improving the diagnosis of pancreatic diseases.

Validation of reverse phase protein array for practical screening of potential biomarkers in serum and plasma: accurate detection of CA19-9 levels in pancreatic cancer

The current study analyzed reverse phase protein arrays (RPPA) as a means to experimentally validate biomarkers in blood samples. One microliter samples of sera (n = 71), and plasma (n = 78) were serially diluted and printed on NC-coated slides. CA19-9 levels from RPPA results were compared with identical patient samples as measured by ELISA. There was a strong correlation between RPPA and ELISA (r = 0.87) as determined by scatter plots. Sample reproducibility of CA19-9 levels was excellent (interslide correlation r = 0.88; intraslide correlation r = 0.83). The ability of RPPA to accurately distinguish CA19-9 levels between cancer and noncancer samples were determined using receiver operating characteristic curves and compared with ELISA. The AUC for RPPA and ELISA was comparable (0.87 and 0.86, respectively). When the mean CA19-9 levels of normal samples was used as a cutoff for RPPA and compared with the standard clinical ELISA cutoff, comparable specificities (71% for both) were observed. Notably, RPPA samples normalized to albumin showed increased sensitivity compared to ELISA (90% vs. 75%). As RPPA is a high-throughput method that shows results comparable to that of ELISA, we propose that RPPA is a viable technique for rapid experimental screening and validation of candidate biomarkers in blood samples.

Survival in pancreatic carcinoma based on tumor size

OBJECTIVES

The size of pancreatic tumors that can be diagnosed by preoperative imaging continues to decrease because advances in diagnostic imaging. Several surgical series have suggested that survival is better in tumors 20 mm or smaller (vs tumors >20 mm), but the incremental benefit of diagnosing progressively smaller tumors from 30 mm (currently, the average size of pancreatic tumor at diagnosis) to 20 mm or smaller is not known. We investigated survival and resectability as tumor size increased from 20 mm or smaller to 30 mm or larger.

METHODS

This is a retrospective analysis of consecutive patients with pancreatic cancer, who underwent endoscopic ultrasound-guided fine-needle aspiration at MD Anderson Cancer Center between December 2000 and December 2001. Tumor size was based on the combination of endoscopic ultrasound and computed tomography imaging.

RESULTS

The median (+/-SE) for tumors 20 mm or smaller, 21 to 25 mm, 26 to 30 mm and larger than 30 mm was 17.2 +/- 8.2, 12.3 +/- 4.9, 8.5 +/- 3.6, and 7.6 +/- 1.2 months (P = 0.021), respectively. Tumors were resectable in 10 (83%) of 12 tumors 20 mm or smaller, 8 (67%) of 12 tumors 21 to 25 mm, 5 (36%) of 14 of tumors 26 to 30 mm, and 2 (7%) of 27 tumors larger than 30 mm (P < 0.001).

CONCLUSIONS

A dramatic change in survival occurs as the size of pancreatic tumor increases from 20 mm or smaller to 30 mm or larger. To be effective, future strategies for early diagnosis of pancreatic cancer should aim at diagnosing most pancreatic cancers before they are 20 mm in size.

Progress on molecular markers of pancreatic cancer

PURPOSE OF REVIEW

To describe advances in the development of biomarkers for pancreatic cancer over the past year.

RECENT FINDINGS

Several new approaches were taken in the search for biomarkers for pancreatic cancer. Studies of CA19-9 revealed new prognostic abilities of the already well known biomarker. New blood biomarkers were investigated and CEACAM1 and MIC-1 were found to be superior to CA19-9 at distinguishing cancer from normal but, unfortunately, not from chronic pancreatitis. MUC1 was reported to be superior to CA19-9 based on the use of a novel immunoassay. The superiority of the concept of a panel of biomarkers as opposed to single biomarkers was supported by several studies, but no such panel was identified. RNA levels in blood and DNA methylation in pancreatic juice yielded some promising findings. Advancements were also made in the area of tissue biomarkers, which can improve the diagnostic accuracy of fine-needle aspirations and provide prognostic information. A new source of potential biomarkers, microRNAs, also made its debut in the past year.

SUMMARY

The tools to identify pancreatic-cancer biomarkers and sources of samples needed in this search are expanding. The field has not yet achieved its aims, but several encouraging breakthroughs have been made.