Search

Purpose: Notable effectiveness of trastuzumab deruxtecan in patients with human epidermal growth factor receptor 2 (HER2)-low advanced breast cancer (BC) has focused pathologists' attention. We studied the incidence and clinicopathologic characteristics of HER2-low BC, and the effects of immunohistochemistry (IHC) associated factors on HER2 IHC results., Materials and Methods: The Breast Pathology Study Group of the Korean Society of Pathologists conducted a nationwide study using real-world data on HER2 status generated between January 2022 and December 2022. Information on HER2 IHC protocols at each participating institution was also collected., Results: Total 11,416 patients from 25 institutions included in this study. Of these patients, 40.7% (range, 6.0% to 76.3%) were classified as HER2-zero, 41.7% (range, 10.5% to 69.1%) as HER2-low, and 17.5% (range, 6.7% to 34.0%) as HER2-positive. HER2-low tumors were associated with positive estrogen receptor and progesterone receptor statuses (p < 0.001 and p < 0.001, respectively). Antigen retrieval times (≥ 36 minutes vs. < 36 minutes) and antibody incubation times (≥ 12 minutes vs. < 12 minutes) affected on the frequency of HER2 IHC 1+ BC at institutions using the PATHWAY HER2 (4B5) IHC assay and BenchMark XT or Ultra staining instruments. Furthermore, discordant results between core needle biopsy and subsequent resection specimen HER2 statuses were observed in 24.1% (787/3,259) of the patients., Conclusion: The overall incidence of HER2-low BC in South Korea concurs with those reported in previously published studies. Significant inter-institutional differences in HER2 IHC protocols were observed, and it may have impact on HER2-low status. Thus, we recommend standardizing HER2 IHC conditions to ensure precise patient selection for targeted therapy.

Background/aim: SPARC-related modular calcium-binding protein 2 (SMOC2), a secreted matricellular protein, is reported to be involved in cancer progression such as cell cycle, angiogenesis, and invasion. In this study, we aimed to investigate the expression of SMOC2 in various gastric lesions and assessed its prognostic value in a large cohort of gastric cancer (GC) patients., Patients and Methods: SMOC2 mRNA levels were measured by quantitative real-time PCR using 26 matched fresh-frozen GC samples. SMOC2 protein expression was determined by immunohistochemistry on tissue microarrays including 734 GC specimens and its correlations with clinicopathological features and survival were evaluated., Results: The transcription level of SMOC2 was higher in GC samples compared to normal mucosa (p=0.006). Its expression levels were associated with the intestinal stem cell (ISC) marker, LGR5, but there were no correlations with EPHB2 and OLFM4 or the candidate cancer stem cell markers CD133 and CD44. SMOC2 expression was significantly increased in the intestinal metaplasia and was further increased in gastric adenomas and early gastric cancers (EGC). In total, 34% of GCs were positive for SMOC2, and SMOC2 positivity was higher in old (p=0.001) and male (p<0.001) patients, and in well-differentiated GC (p<0.001). SMOC2 expression had a negative association with perineural invasion (p<0.001) and tumor stage (p<0.001). In survival analysis, SMOC2-positive GC patients had much better clinical outcomes in overall survival rates (p<0.001) compared to SMOC2-negative GC patients. The prognostic impact of SMOC2 remained significant both in intestinal (p<0.001) and diffuse-type GC (p<0.001). Remarkably, a multivariate analysis demonstrated SMOC2 as an independent prognostic marker [hazard ratio (HR)=0.732, p=0.045] along with venous invasion (p=0.012), tumor stage (p<0.001) and CDX2 (p=0.028)., Conclusion: Our results suggest that SMOC2 can be a prognostic marker for better clinical outcomes in GC., (Copyright © 2021 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

Cancer stem cells (CSCs) are believed to be responsible for tumor growth, invasion, and metastasis. Submucosal invasion, which greatly enhances metastasis risk, is a critical step in gastric cancer (GC) progression. To identify stem cell-related markers associated with submucosal invasion and lymph node (LN) metastasis in GCs, we investigated the expression of candidate CSC markers (CD133, CD44, and ALDH1A) and intestinal stem cell (ISC) markers (EPHB2, OLFM4, and LGR5) in early GCs that manifested submucosal invasion. We discovered that EPHB2 and LGR5 expression was frequently confined to the basal area of the lamina propria (basal pattern) in mucosal cancer, and the proportion of stem cell marker-positive cells substantially increased during submucosal invasion. CD44 expression showed a focal pattern, ALDH1A was predominantly expressed diffusely, and there was no expansion of CD44 or ALDH1A expression in the submucosal cancer cells. Unexpectedly, no CSC markers showed any associations with LN metastasis, and only loss of EPHB2 expression was associated with increased LN metastasis. Treatment of RSPO2, a niche factor, along with Wnt 3a, to GC cells led to increased EPHB2 and LGR5 mRNA levels. RNA in situ hybridization confirmed specific RSPO2 expression in the smooth muscle cells of the muscularis mucosa, suggesting that RSPO2 is responsible for the increased expression of ISC markers in GC cells at the basal areas. In summary, no stem cell markers were associated with increased LN metastasis in early GCs. Conversely, isolated EPHB2 expression was associated with lower LN metastasis. EPHB2 and LGR5 showed a basal distribution pattern along with enhanced expression in submucosal invading cells in early GCs, which was induced by a niche factor, RSPO2, from the muscularis mucosa., (Copyright © 2021 The Authors. Published by Elsevier GmbH.. All rights reserved.)

The gastrointestinal (GI) tract is a prevalent site for extranodal lymphomas. Some subtypes of GI tract lymphomas are aggressive and have dismal clinical outcomes. Therefore, prompt histopathologic detection of such types can be very important. We thus introduce a practical approach in the histopathologic diagnosis of GI lymphomas according to the revised World Health Organization (WHO) classification. When lymphocyte proliferation is found in the GI tract, a stepwise approach can help narrow down the differential diagnoses. When considering subtype incidence, macroscopic findings, and microscopic patterns, applying a first-line marker battery of CD20, CD3, CD30, and Epstein-Barr virus-encoded RNAs can effectively narrow down the top differential diagnoses at the initial step. Generally, the most common subtype among GI tract lymphomas is B-cell non-Hodgkin lymphoma identified by CD20 expression, followed by T-cell and NK-cell non-Hodgkin lymphomas identified by the CD3 expression, and some subtypes are defined by Epstein-Barr virus infection or CD30 expression. Macroscopically, lymphomas present as various gross types, such as large masses, small lesions, superficial and shallow lesions, polyp-like or polyposis-like features, or ulcer/necrosis/perforation. Microscopically, large pleomorphic cells or small to medium-sized tumor cells grow with various architectures and tumor microenvironments. Incorporation of macroscopic and microscopic features and the stepwise immunophenotyping may be a practical approach to the differential diagnosis of aggressive lymphoma, indolent/low-grade lymphoma, or benign to indolent lymphoproliferative disease. Exceptions always exist; this approach focuses on the relatively prevalent circumstances of lymphomatous lesions initially encountered in the GI tract.

Introduction : Gastric cancer (GC) is one of the leading causes of cancer-related death worldwide because of difficulties in early diagnosis. Aberrant glycosylation in serum proteins has been associated with many human diseases. Serum haptoglobin, a highly sialylated glycoprotein with four N -glycosylation sites, has gained considerable attention due to its potential as a signature molecule to display aberrant glycosylation in inflammatory disorders and various types of cancer. In particular, the relevance of haptoglobin glycosylation in GC has been investigated in a multifaceted way. Areas covered : The screening of haptoglobin glycosylation could offer an alternative approach toward GC diagnosis and detection. In this report, various assay platforms such as glycan profiling, site-specific glycopeptide profiling, and intact protein profiling are introduced for the detection of abnormal glycosylation of serum haptoglobin. Expert opinion : Although aberrant glycosylation of serum haptoglobin is associated with gastric cancer patients and might be a promising marker of GC screening, the development of a diagnosis platform to increase specificity and sensitivity for clinical use is still an analytical challenge. However, the continuous advancement of analytical technologies and methods will spur the paradigm shift from traditional serum markers, enabling the effective mining of human glycoproteome for GC diagnostic markers.

Background/aim: The prognostic significance of biomarkers related to gastric cancer prognosis has not been fully elucidated. The aim of study was to use immunohistochemical biomarkers to reveal prognosis., Patients and Methods: A total of 682 patients who had undergone curative surgery were evaluated regarding the correlation of prognosis and immunohistochemical biomarkers., Results: The COX2-positive groups showed a poor 5-year overall and disease-free survival. Further analysis revealed that COX2 positivity was a significant risk factor for poorer disease-free survival in the group with clinical stage I disease (p=0.016). We also noted a marked trend between COX2 positivity and poorer overall survival. The COX2-positive group showed general postoperative pathological up-staging compared with the COX2-negative group., Conclusion: This study showed the potential of COX2 as a biomarker for gastric cancer prognosis. Preoperative evaluation of COX2 might be a useful tool for generating optimal treatment strategies in patients with clinical stage I gastric cancer., (Copyright© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

This study was designed to analyze urinary proteins associated with ovarian cancer (OC) and investigate the potential urinary biomarker panel to predict malignancy in women with pelvic masses. We analyzed 23 biomarkers in urine samples obtained from 295 patients with pelvic masses scheduled for surgery. The concentration of urinary biomarkers was quantitatively assessed by the xMAP bead-based multiplexed immunoassay. To identify the performance of each biomarker in predicting cancer over benign tumors, we used a repeated leave-group-out cross-validation strategy. The prediction models using multimarkers were evaluated to develop a urinary ovarian cancer panel. After the exclusion of 12 borderline tumors, the urinary concentration of 17 biomarkers exhibited significant differences between 158 OCs and 125 benign tumors. Human epididymis protein 4 (HE4), vascular cell adhesion molecule (VCAM), and transthyretin (TTR) were the top three biomarkers representing a higher concentration in OC. HE4 demonstrated the highest performance in all samples withOC(mean area under the receiver operating characteristic curve (AUC) 0.822, 95% CI: 0.772-0.869), whereas TTR showed the highest efficacy in early-stage OC (AUC 0.789, 95% CI: 0.714-0.856). Overall, HE4 was the most informative biomarker, followed by creatinine, carcinoembryonic antigen (CEA), neural cell adhesion molecule (NCAM), and TTR using the least absolute shrinkage and selection operator (LASSO) regression models. A multimarker panel consisting of HE4, creatinine, CEA, and TTR presented the best performance with 93.7% sensitivity (SN) at 70.6% specificity (SP) to predict OC over the benign tumor. This panel performed well regardless of disease status and demonstrated an improved performance by including menopausal status. In conclusion, the urinary biomarker panel with HE4, creatinine, CEA, and TTR provided promising efficacy in predicting OC over benign tumors in women with pelvic masses. It was also a non-invasive and easily available diagnostic tool.

The N-glycosylation of proteins is one of the most important post-translational modifications relevant to various biological functions. The identification and quantification of N-glycoproteins in liquid chromatography-mass spectrometry (LC-MS) is challenging because of their low analytical sensitivity and selectivity. This is due to their microheterogeneity and the difficulty of synthesizing N-glycopeptides as an internal standard. Parallel reaction monitoring (PRM) is widely used in targeted LC-MS. The key advantage of LC-PRM is that it can identify N-glycopeptides using tandem mass spectrometry (MS/MS) fragmentation, even without an internal standard. We investigated the feasibility of analyzing N-glycoproteins using multiplex immunoprecipitation to improve sensitivity and selectivity. We targeted N-glycoproteins [α-fetoprotein (AFP), vitronectin (VTN), and α-1-antichymotrypsin (AACT)] that are abnormally glycosylated in hepatocellular carcinoma (HCC). Their tryptic N-glycopeptides were selected to determine the percentages of fucosylated N-glycopeptides using Y ions, which include glycopeptide fragments with amino acid sequences. Finally, we confirmed that the area under the receiver operating characteristic curve (AUC = 0.944) for the combination of AFP and VTN increased more so than for a single glycopeptide (AUC = 0.889 for AFP and 0.792 for VTN) with respect to discriminating between HCC and cirrhosis serum. This study shows that an LC-PRM method using multiplex N-glycoproteins immunoprecipitated from serum could be applied to develop and verify cancer biomarkers. Graphical abstract.

Background: With the recent development of molecular tests for various biomarkers, it has become even more important to prepare adequate tissue samples. However, little is known about how the effect of cold ischemia time or formalin fixation time can affect KRAS mutation detection in colorectal cancer., Methods: This study included the results of KRAS mutation tests for colorectal cancer in 401 specimens. We investigated clinicopathologic factors that may affect DNA quality of formalin-fixed, paraffin-embedded (FFPE) tissue including specimen type, cold ischemia time, and formalin fixation time and assessed the detection rate of the KRAS mutation in samples with varying DNA quality., Results: Sample DNA quality for KRAS mutation test was better in biopsy specimens, which showed markedly shorter cold ischemia time and shorter formalin fixation time compared to resection specimens. A cold ischemia time of one hour or less was associated with better sample DNA quality. But the formalin fixation time was not a significant factor when it fell within the range performed in routine pathology diagnosis. When prolonged formalin fixation was tested, we confirmed that the specimen DNA quality gradually got worse from one month to three months., Conclusions: The biopsy specimens showed better sample DNA quality for KRAS mutation test compared to resection specimens. In a routine diagnostic pathology setting, the cold ischemia time was an important factor affecting DNA quality and the formalin fixation had a wide time range for optimal DNA quality., (Copyright © 2019. Published by Elsevier GmbH.)

Background: Due to the prevalence of Hepatocellular carcinoma (HCC) in Saudi Arabia, using new markers to give best diagnostic performance than alpha-feto protein (AFP) are important in early diagnosis. The aim of this work was to compare the significance between serum and mRNA Golgi glypican73 (GP-73) as newly identified diagnostic and prognostic markers for HCC among Saudi patients. Materials and Methods: A total of 300 subjects were divided into: 250 blood samples where 145 samples from HCC, 105 samples from chronic liver cirrhosis (CLC) and 50 normal controls were investigated for serum GP73 (sGP73) by ELISA. GP-73 mRNA from peripheral blood mononuclear cells was amplified by RT-PCR. The sensitivity and specificity of both techniques was compared. Results: Serum Golgi glypican 73 was significantly higher in HCC group compared to cirrhotic and normal controls (p<0.001). Sensitivity and specificity were 95% for sGP-73, 100% and 90% for Golgi glypican 73 mRNA. The combination of sensitivity between AFP and sGP73 was 80% and 95% respectively. Conclusion: Both serum Golgi glypican-73 and GP-73Mrna are good diagnostic biomarkers for early detection of HCC in Saudi patients. RT-PCR is more accurate and sensitive (100%) than ELISA (95%) in detecting Golgi glypican 73., (Creative Commons Attribution License)

Salivary duct carcinoma (SDC) is an aggressive carcinoma with poor prognosis. Although anti-HER2 therapy is a potential treatment option for HER2-positive SDC, other potential therapeutic targets are not known, in particular for HER2-negative cases. In this study, the recently identified receptors tyrosine kinases MET and tropomyosin-receptor kinase (Trk) were investigated as potential therapeutic targets. A total of 28 consecutive, surgically resected, de novo SDC cases were selected after evaluating histology and immunohistochemical expression of androgen receptor. Immunohistochemical expression of c-erb2, TrkA, TrkB, TrkC, and c-MET was analyzed, and the genetic status of the HER2 and MET genes was investigated through dual-color silver in situ hybridization. High expression of c-MET or Trk was defined as that above the median value. Among the 28 SDC cases, 64.3% (18/28) were HER2-positive. c-MET expression varied, with a median H-score of 65 (range, 0 to 200). Copy number gain and amplification of MET were noted in 57.1% (16/28) and 10.7% (3/28) of cases, respectively. TrkA was variably expressed, with a median H-score of 100 (range, 0 to250). High TrkA expression was significantly related to an inferior overall survival rate in HER2-negative SDC. High expression of TrkA and c-MET and MET copy number gain/amplification were frequent events in SDC, and high expression of TrkA revealed the tendency to be related to poor prognosis in HER2-negative SDC. TrkA and MET may be possible therapeutic targets in SDC, especially in HER2-negative SDC., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Systemic inflammatory markers derived from peripheral blood cell, such as the neutrophil-lymphocyte ratio (NLR), derived neutrophil-lymphocyte ratio (dNLR), platelet-lymphocyte ratio (PLR) and lymphocyte-monocyte ratio (LMR), have been demonstrated as prognostic markers in several types of malignancy. Here, we investigated and compared the association between systemic inflammatory markers and survival and developed a prognostic nomogram in breast cancer patients. We reviewed the clinical and pathological records of 661 patients diagnosed with invasive breast carcinoma between 1993 and 2011. The NLR, dNLR, PLR and LMR in the immediate preoperative period were assessed. We analyzed the relationship between these inflammatory markers and clinicopathologic variables, disease-specific survival (DSS), and disease-free survival (DFS) in patients. A nomogram was developed to predict 3- and 5-year DSS for breast cancer. In the univariate analysis, high NLR, dNLR, PLR and low LMR were all significantly associated with poor DSS and DFS. In the multivariate analysis, only the PLR (HR 3.226, 95% CI 1.768-5.885 for DSS and HR 1.824, 95% CI 1.824-6.321 for DFS) was still identified as an independent predictor of outcomes. A subgroup analysis revealed that the PLR was the sole independent marker predicting poor DSS in patients with lymph node metastasis (HR 2.294, 95% CI 1.102-4.777) and with luminal subtype (HR 4.039, 95% CI 1.905-8.562). The proposed nomogram, which includes the PLR, shows good accuracy in predicting DSS with a concordance index of 0.82. PLR is an indicator of systemic inflammation as a part of the host immune response. As an independent prognostic factor, an elevated preoperative PLR is superior to the NLR, dNLR, and LMR in predicting clinical outcomes in patients with breast cancer. Moreover, the nomogram incorporating the PLR could accurately predict individualized survival probability in breast cancer., Competing Interests: The authors have declared that no competing interests exist.

The cell surface transmembrane 4 superfamily member 5 protein (TM4SF5) has been implicated in various human cancers. Immunization with a peptide vaccine targeting human TM4SF5 has been shown to exert prophylactic and therapeutic effects against the development of hepatocellular carcinoma and colon cancer in mouse models. In this study, we developed a novel monoclonal antibody (mEC2‑CF) targeting a cyclic epitope of TM4SF5 and evaluated its reactivity to TM4SF5 in colorectal cancer (CRC) cells and cancer tissues. The isotype of mEC2‑CF was IgG2a and the antibody specifically recognized the cyclic peptide, based on ELISA. The antibody recognized recombinant TM4SF5 overexpressed in 293F cells, irrespective of N‑glycosidase F treatment. The antibody was internalized into the cytosol after binding to the surface of TM4SF5‑expressing CRC cells, suggesting that this antibody may be useful in therapeutics. In addition, we evaluated TM4SF5 expression in the tissues of patients with CRC patients to determine its prognostic significance. TM4SF5 expression was assessed by immunohistochemistry using mEC2‑CF and tissue microarray blocks of 204 primary CRC samples. The overall rate of TM4SF5 overexpression in the samples (immunohistochemical score >4) was 27.0% (55 of 204). The increased expression of TM4SF5 was significantly associated with a shorter survival rate (P=0.0014) and a worse disease‑free survival (P=0.0483) of patients with CRC. No association was observed between TM4SF5 expression and clinicopathological characteristics, apart from tumor depth of invasion (P=0.027). These results suggest that our novel antibody can be used to detect endogenous and recombinant TM4SF5, and that TM4SF5 may be a possible marker for the poor prognosis of patients with CRC.

We evaluated the expression patterns of p16, which is used as a surrogate marker of HPV infection in head and neck squamous cell carcinoma (HNSCC), in regard to their biological and prognostic implications. p16 expression patterns and infiltrated immune cells were analyzed through immunohistochemistry of p16, CD3, CD8, PD-1, FOXP3, and CD163 on surgically resected HNSCCs (n = 393). Patterns of p16 immunoexpression were defined as STRONG (strong, diffuse expression in cytoplasm, and nucleus in >70% of tumor cells), MARGINAL (expression restricted to tumor margins), MOSAIC (ragged, discontinued expression), NUCLEAR (expression in nuclei only), and ABSENT (no expression). The STRONG pattern was more frequent in the oropharynx, and the MARGINAL pattern was noted only in the oral cavity. MOSAIC and NUCLEAR patterns were noted at variable sites. No two patterns of p16 expression showed the same immune cell composition of CD3+ T cells, CD8+ cytotoxic T cells, PD-1+ T cells, FOXP3+ regulatory T cells, and CD163+ macrophages. In overall and disease-free survival analyses, the STRONG pattern showed the most favorable prognosis, while the NUCLEAR pattern had the worst prognosis. HNSCC anatomical sites, tumor-related immune cell components, and patient outcomes were associated with p16 expression patterns. Each architectural pattern of p16 expression may be related to different biological and prognostic phenotypes., (© 2017 APMIS. Published by John Wiley & Sons Ltd.)

Cytokeratin 17 (CK17), a basal/myoepithelial cell keratin, is a poor prognostic marker for cancers of organs such as the stomach, ovary, and breast as well as a useful diagnostic marker for pancreatobiliary adenocarcinoma. However, its expression pattern and prognostic significance have not been studied in gallbladder adenocarcinoma. We constructed a tissue microarray from samples from 82 consecutive patients with gallbladder adenocarcinoma treated by cholecystectomy at the Kangbuk Samsung Hospital from 2000 to 2011. CK17 expression was examined by immunohistochemistry and correlated with clinicopathologic prognostic factors. CK17 stained the cytoplasm of tumor cells and immunohistochemical interpretation was possible in 77 cases. Among these, 41 (53.2%) were considered positive using a 5% cutoff determined by a receiver operating characteristic curve (area under the curve=0.656, P=0.021). CK17 expression was associated with poor tumor differentiation (P<0.001), high pT stage (P<0.001), presence of distant metastasis (P=0.036), and low disease-specific survival rate (P<0.001). These results indicate that CK17 can be used as a marker for poor prognosis for gallbladder adenocarcinoma.

Based on our previous studies, differential analysis of N-glycan expression bound on serum haptoglobin reveals the quantitative variation on gastric cancer patients. In this prospective case-control study, we explore the clinically relevant glycan markers for gastric cancer diagnosis. Serum samples were collected from patients with gastric cancer (n = 44) and healthy control (n = 44). N-glycans alteration was monitored by intact analysis of Hp using liquid chromatography-mass spectrometry followed by immunoaffinity purification with the serum samples. Intensity and frequency markers were defined depending on the mass spectrometry data analysis. Multiple markers were found with high diagnostic efficacy. As intensity markers (I-marker), six markers were discovered with the AUC > 0.8. The high efficiency markers exhibited AUC of 0.93 with a specificity of 86% when the sensitivity was set to 95%. We additionally established frequency marker (f-marker) panels based on the tendency of high N-glycan expression. The AUC to conclude patients and control group were 0.82 and 0.79, respectively. This study suggested that N-glycan variation of serum haptoglobin were associated with patients with gastric cancer and might be a promising marker for the cancer screening.

Background: Smad4 and GATA3 proteins are known prognostic markers in various cancers. Smad4 is a mediator linked to both tumour suppression and progression. GATA3 is a regulator of development and morphogenesis of the mammary gland. We assessed and compared the predictive performance of Smad4 and GATA3 for clinical outcomes in patients with breast cancer., Methods: The combined expression pattern based on Smad4+/- and GATA3+/- was evaluated by immunostaining using breast cancer tissue microarray, and the relationships between protein expression and clinicopathological variables were analysed., Results: Smad4 expression was only associated with an ill-defined tumour border, whereas GATA3 was associated with several good prognostic factors. On analysis of combined markers, there was a significant difference in the expression of fascin (an important factor for cancer invasiveness) between the Smad4+/GATA3- and Smad4-/GATA3+ groups. Smad4+/GATA3- was correlated with worse clinicopathological parameters, relapse-free survival (RFS), and overall survival (OS), compared to Smad4-/GATA3+., Conclusion: Combined markers of Smad4/GATA3 showed a superior performance compared to single markers for predicting RFS and OS in patients with breast cancer., (© 2017 S. Karger AG, Basel.)

Aims: Breast cancers are heterogeneous, making it essential to recognise several biomarkers for cancer outcome predictions. Ki67 proliferation index and B cell lymphoma 2 (BCL2) proteins are widely used as prognostic indicators in many types of malignancies. While Ki67 is a marker of normal or tumour cell proliferation, BCL2 plays a central role in antiproliferative activities. A combination of these two biomarkers with contrary purposes can provide enhanced prognostic accuracy than an analysis using a single biomarker., Methods: We evaluated Ki67 and BCL2 expression with 203 cases of breast cancer. The relative expression of each biomarker named as Ki67/BCL2 index was divided into two groups (low vs high) with the use of area under receiver operating characteristic curves., Results: There were significant correlations between Ki67/BCL2 index and clinicopathological findings such as age, tumour stage, size and necrosis, histological grade, extensive intraductal component, lymphatic and vascular invasion, oestrogen receptor, progesterone receptor, human epithelial growth factor receptor 2 and p53 expression (all p<0.05). In univariate and multivariate analyses, high Ki67/BCL2 index correlated with shorter disease-free survival and overall survival in patients with early stage invasive ductal carcinoma (all p<0.05)., Conclusions: The Ki67/BCL2 index should be considered as a prognostic predictor in patients with early stage invasive ductal carcinoma., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.)

The failure of targeted therapy due to the resistance to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs), such as gefitinib, is considered a major problem in the treatment of non-small cell lung cancer (NSCLC) patients. SerpinB2, a component of the urokinase plasminogen activator (uPA) system, has been recognized as a biomarker for the progression and metastasis of lung cancer. Nevertheless, the relationship between SerpinB2 and EGFR-TKI resistance has not been elucidated. Here, we report that SerpinB2 is down-regulated in gefitinib-resistant (H292-Gef) cells compared to gefitinib-sensitive (H292) cells. The low SerpinB2 levels in H292-Gef cells were also associated with an enhancement in invasiveness and increase in the length of invadopodia-like structures in the cells. The effect on invasiveness and gefitinib sensitivity was confirmed by knockdown and overexpression of SerpinB2. In addition, the possibility to overcome the resistance through the up-regulation of SerpinB2 was supported by employing an antitumor agent yuanhuadine (YD). Treatment with YD effectively elevated SerpinB2 levels and suppressed invasive properties in H292-Gef cells. Collectively, these findings demonstrate the prospective role of SerpinB2 as a novel biomarker for acquired gefitinib resistance and a potential target for NSCLC treatment.

Accurate prediction of regional lymph node metastasis (LNM) in endoscopically resected T1-stage colorectal cancers (CRCs) can reduce unnecessary surgeries. To identify miRNA markers that can predict LNM in T1-stage CRCs, the study was conducted in two phases; (I) miRNA classifier construction by miRNA-array and quantitative reverse transcription PCR (qRT-PCR) using 36 T1-stage CRC samples; (II) miRNA classifier validation in an independent set of 20 T1-stage CRC samples. The expression of potential downstream target genes of miRNAs was assessed by immunohistochemistry. In the discovery analysis by miRNA microarray, expression of 66 miRNAs were significantly different between LNM-positive and negative CRCs. After qRT-PCR validation, 11 miRNAs were consistently significant in the combined classifier construction set. Among them, miR-342-3p was the most significant one (P=4.3×10-4). Through logistic regression analysis, we developed a three-miRNA classifier (miR-342-3p, miR-361-3p, and miR-3621) for predicting LNM in T1-stage CRCs, yielding the area under the curve of 0.947 (94% sensitivity, 85% specificity and 89% accuracy). The discriminative ability of this system was consistently reliable in the independent validation set (83% sensitivity, 64% specificity and 70% of accuracy). Of the potential downstream targets of the three-miRNAs, expressions of E2F1, RAP2B, and AKT1 were significantly associated with LNM. In conclusion, this classifier can predict LNM more accurately than conventional pathologic criteria and our study results may be helpful to avoid unnecessary bowel surgery after endoscopic resection in early CRC., Competing Interests: The authors have no conflicts of interest to declare.

GATA3 and fascin proteins are known prognostic markers in several cancers. GATA3 is a key regulator of mammary gland morphogenesis and luminal cell differentiation, whereas fascin is a pro-metastatic actin-bundling protein. In this study, we analyzed and compared the predictive abilities of GATA3 and fascin for clinical outcomes of patients with breast cancer. The combined expression pattern based on GATA3-/+ and fascin-/+ was evaluated by immunostaining using a tissue microarray, and relationships between protein expression and several clinicopathological parameters were analyzed. GATA3 expression was associated with good prognostic parameters, but fascin was correlated with poor prognostic parameters. On comparing GATA3 and fascin, we found an inverse relationship between fascin and GATA3 expressions. On analysis of combined markers, GATA3+/fascin- was correlated with improved clinical outcomes compared to GATA3-/fascin+. Univariate and multivariate analyses revealed significant differences in relapse-free and overall survival between GATA3+/fascin- and GATA3-/fascin+. Combined marker analysis of GATA3/fascin showed an inverse association and improved prognostic information for patients with breast cancer.

Gallbladder cancer, the most common biliary tract malignancy, is a highly malignant neoplasm. In the present work, we have analyzed the significance of cell cycle-related proteins to predict prognosis and to provide guidance for optimal therapeutic decision-making in patients with gallbladder adenocarcinoma. The expressions of p16, p21, p27, p53, p63, cyclin D1, bcl-2 and bcl-6 were examined in a tissue microarray constructed from 96 cases of gallbladder adenocarcinoma by immunohistochemistry and correlated with clinicopathologic prognostic factors. Expression of p16 was correlated with a low pT stage, adenoma background and good prognosis. Cases with p63 expression showed a higher T stage, more frequent perineural invasion and poor prognosis when compared to cases without p63 expression. Over-expression of p53 or loss of p53 was associated with poor tumor differentiation, frequent distant metastasis and low disease-specific survival rate. The expressions of p21, p27, bcl-2, bcl-6 and cyclin D1 were not significant prognostic factors for gallbladder adenocarcinoma. These results indicate that p16, p63 and p53 can be used as prognostic markers in gallbladder adenocarcinoma; especially p53 and p63 as poor prognostic markers and p16 as a favorable prognostic marker.

Background: Matrix metalloproteinase 11 (MMP-11) is a matrix degrading enzyme known to be involved in the remodeling of extracellular matrix proteins. This enzyme recently has been reported to play a key role in tumor progression and results in poor clinical outcomes for several different types of tumors., Methods: A total of 192 patients diagnosed with invasive ductal carcinoma between 2000 and 2005 were included in this study. MMP-11 expression in tumors and stromal fibroblast-like cells was analyzed by immunohistochemical staining on a tissue microarray. Subsequently, evaluation of the associations between MMP-11 expression and clinicopathological characteristics was performed., Results: MMP-11 expression of stromal fibroblast-like cells was correlated with prognostic factors, including tumor size, metastasis, histological grade, central tumor fibrosis, p53 expression, and luminal A subtype and was linked to therapeutic markers, such as ER and HER2 (all p < 0.05). There was a significant relationship between worse overall survival and MMP-11 expression in both tumors and stromal fibroblast-like cells (all p < 0.05). In multivariate analysis, MMP-11 expression of stromal fibroblast-like cells was still significantly associated with poor prognosis (p = 0.043)., Conclusions: MMP-11 expression was significantly related to clinicopathological parameters, which may be essential to the prediction of disease outcome in patients with invasive ductal carcinoma of the breast.

Using hybrid nanoparticles (HNPs), we demonstrate simultaneous capture, in situ protein expression analysis, and cellular phenotype identification of circulating tumor cells (CTCs). Each HNP consists of three parts: (i) antibodies that bind specifically to a known biomarker for CTCs, (ii) a quantum dot that emits fluorescence signals, and (iii) biotinylated DNA that allows capture and release of CTC-HNP complex to an in-house developed capture & recovery chip (CRC). To evaluate our approach, cells representative of different breast cancer subtypes (MCF-7: luminal; SK-BR-3: HER2; and MDA-MB-231: basal-like) were captured onto CRC and expressions of EpCAM, HER2, and EGFR were detected concurrently. The average capture efficiency of CTCs was 87.5% with identification accuracy of 92.4%. Subsequently, by cleaving the DNA portion with restriction enzymes, captured cells were released at efficiencies of 86.1%. Further studies showed that these recovered cells are viable and can proliferate in vitro. Using HNPs, it is possible to count, analyze in situ protein expression, and culture CTCs, all from the same set of cells, enabling a wide range of molecular- and cellular-based studies using CTCs., (Copyright © 2013 Elsevier B.V. All rights reserved.)

Nuclear factor-κB (NF-κB) is involved in proliferation, angiogenesis, and metastasis in various malignancies; however, the role of NF-κB in papillary thyroid carcinoma (PTC) has not been fully elucidated. The purpose of this study was to elucidate the role and clinicopathological significance of the NF-κB signaling pathway in PTC. We investigated NF-κB RelA expression in 122 patients with conventional PTC by immunohistochemistry, and evaluated the correlation between RelA expression and clinicopathological parameters, including BRAF(V600E) mutation. Nuclear expression of NF-κB RelA, regardless of cytoplasmic expression, was identified in 91 of 122 PTCs (74.6%), and was more frequent in PTCs larger than 1cm (overt PTC) (P=0.001). There were significant differences in clinicopathological parameters, such as extrathyroidal extension (P=0.031), nodal metastasis (P=0.021) and BRAF(V600E) mutation (P=0.039), between NF-κB-positive and negative PTCs. Proliferation index was strongly associated with NF-κB activation (P=0.045) but not with BRAF(V600E) mutation (P=0.141). Taken together, our results suggest that NF-κB RelA activation contributes, at least in part, to tumor growth and aggressiveness of PTC after tumor transformation. The expression pattern of NF-κB may serve as a prognostic marker and a potential therapeutic target., (Copyright © 2013 Elsevier GmbH. All rights reserved.)

Accurate diagnosis of ovarian clear cell carcinoma (CCC) is important because of its poor prognosis with chemoresistance and a high recurrent rate. The clinicopathologic characteristics and prognostic significance of the cell cycle regulator [early mitotic inhibitor-1 (Emi1)] and galactoside-binding protein (Galectin-3) were evaluated. Among 155 CCCs from 18 hospitals in Korea between 1995 and 2006, 129 pure CCCs were selected with consensus using immunohistochemical stains for hepatocyte nuclear factor-1β, Wilms' tumor protein, and estrogen receptor. The expressions of Emi1, Galectin-3, p53, and Ki-67 labeling index were analyzed with clinicopathologic parameters and the patient's survival. The mean age of the patients was 49.6 yr; the tumors were bilateral in 10.9%, and the average size was 12 cm. Adenofibromatous component was found in 7%, and endometriosis in 48.1% of the cases. Psammoma body was seen in 16.3%. Disease-free survival and overall survival rates were 78.3% and 79.1%, respectively. The International Federation of Obstetrics and Gynecology (FIGO) stage was the most important prognostic indicator. Emi1 expression (>5%) was seen in 23.3% of CCCs, and associated with high FIGO grades and poor overall survival (P<0.05). High Galectin-3 (≥80%) expression was seen in 59.7% of CCCs, and associated with FIGO stages III and IV, and high Ki-67 labeling index. High Ki-67 labeling index (≥50%) and p53 expression (≥50%) were seen in 27.1% and 18.6% of CCCs, respectively, but there was no clinicopathologic and prognostic significance. On the basis of the fact that the expression of Emi1 in CCC was correlated with a high histologic grade and worse overall survival, target therapy using inhibitors of Emi1 may be tried in the management of CCC patients with Emi1 expression.

Background: To identify meningioma-specific proteins, cerebrospinal fluid (CSF) from 4 patients with a meningioma and 4 patients with a non-brain tumorous lesion were analyzed., Material/methods: Two-dimensional electrophoresis and electrospray quadrupole time-of-flight tandem mass spectrometry analyses revealed 10 unique spots, containing 11 independent proteins (spot #2 and #4 each contained 2 proteins and spot #3 was not identified) were evident in CSF associated with human meningioma: serum albumin precursor (3 different isoforms), Apolipoprotein E (Apo E), Apolipoprotein J precursor (Apo J), Transthyretin precursor (TTR), Prostaglandin D2 synthase 21 kDa (PTGDS), proapolipoprotein, Chain D hemoglobin Ypsilanti, alpha-1-antitrypsin (AAT), and beta-2-microglobulin precursor (β2M)., Results: The contents of Apo E, Apo J and AAT were increased, while PTGDS, TTR and β2M were decreased., Conclusions: The results observed by 2-dimensional electrophoresis were verified by Western blot analysis. The unique proteins may represent possible candidate biomarkers of meningioma.

We investigated the relationship between frequently deregulated microRNAs (miRNAs) and enodometrial pathology in an attempt to find the most dependable miRNA or combination of miRNAs to identify normal, hyperplastic and malignant endometrial tissues. We also investigated the association between those miRNAs and PTEN status. We measured the expression of six miRNAs (miR-21, 182, 183, 200a, 200c and 205) in 75 formalin-fixed, paraffin-embedded normal, hyperplastic, and malignant endometrial tissue blocks using Taqman-based real-time PCR assays. PTEN loss of expression was assessed in the same endometrial tissues by immunohistochemistry. Expression of five miRNAs (miR-182, 183, 200a, 200c and 205) was significantly higher in endometrial carcinoma (CA) when compared with complex atypical hyperplasia (CAH), simple hyperplasia (SH) and normal endometrial tissue (P<0.05, respectively). Considering the likelihood ratio and number of parameters, the composite panel of six miRNAs was the best marker, revealing a sensitivity of 91% and a specificity of 94% in differentiating endometrial CA from endometrial hyperplasia or normal endometrium while the individual miRNAs exhibited 64-77% sensitivity and 66-91% specificity. Interestingly, in distinguishing endometrial CA from CAH, the composite panel of four miRNAs (miR-182, 183, 200a, 200c) was the best marker, producing 95% sensitivity and 91% specificity. The percentage of PTEN loss was significantly higher in endometrial CA compared with SH (68% vs 24%, P<0.05), and it was also higher in CAH compared with SH (71% vs 24%, P<005). Aberrant expression of miRNAs and loss of PTEN expression are common in endometrial hyperplasia and CA. They might serve to increase the diagnostic reproducibility and improve discrimination, especially, between CAH and CA by miRNA expression profiles and between simple and complex hyperplasia through PTEN expression patterns. Those expression profiles of biomarkers also might be used to predict the potential for progression from endometrial hyperplasia to invasive CA.

Background: Human papillomavirus (HPV)-related oropharyngeal squamous cell carcinoma (SCC) exhibits distinct patterns worldwide, but its prevalence has not been extensively evaluated in Korea. The E7 oncogene-mediated carcinogenesis and its meaning are yet to be uncovered for oropharyngeal SCCs., Methods: In a Korean oropharyngeal SCC cohort, epidemiological indicators, HPV, and G1 cell cycle marker expressions were correlated with survival., Results: Among 93 surgically treated patients with oropharyngeal SCCs, 49.5% were HPV+, which were significantly younger, and predominantly nonsmoking. They demonstrated better survival than HPV- (94% vs 60%). Patients who were HPV+ with oropharyngeal SCCs expressed higher p16, cyclin-dependent kinase 4 (cdk4), and lower pRb. The p16 (hazard ratio [HR] 2.39), pRb (HR 2.13), and CCND1 (HR 2.09) correlated with survival. Notably, combined markers like p16/cdk4 ratio (HR 2.47) and cdk4+CCND1 sum (HR 2.65) were more significantly correlated., Conclusion: Incidence of HPV-related oropharyngeal SCC in Korea is similar to U.S.-European data. HPV presence correlates with improved survival. Expression ratios of G1 markers may predict survival of oropharyngeal SCCs better than each marker alone., (Copyright © 2011 Wiley Periodicals, Inc.)

The purpose of the present study was to evaluate multiplex liquid assay-based measurement of multiple ovarian cancer-associated biomarkers such as hemoglobin, haptoglobin and apolipoprotein E, together with CA125, which has been widely used in the diagnosis of ovarian cancer, in order to provide a higher diagnostic power. We measured the serum levels of CA125, hemoglobin, haptoglobin and apolipoprotein E from the serum of 76 healthy individuals and 69 ovarian cancer patients using a multiplex liquid assay system, Luminex 100. The results were analyzed according to normal versus ovarian cancer, tumor stages and tumor histology. In addition, to validate the use of these biomarkers for the diagnosis of ovarian cancer, the sensitivity and specificity of each biomarker was analyzed by its receiver operating characteristics (ROC) curve. The serum levels of all four biomarkers in ovarian cancer patients were significantly higher than those of healthy individuals. When CA125 was combined with the biomarkers, the overall sensitivity and specificity were significantly improved in the ROC curve, which showed 95 and 75% sensitivity and specificity, respectively. At 95% specificity for all stages the sensitivity increased to 75% compared to 41% for CA125 alone. For stage I+II increased the sensitivity to 68% from 36% for CA125 alone. For stage III+IV the corresponding values were 100 and 95%, respectively. Taken together, the new combination of hemoglobin, haptoglobin and apolipoprotein E with CA125 significantly improved both the sensitivity and the specificity of ovarian cancer diagnosis compared with those of individual biomarkers. These findings suggest the benefit of the combination of these markers for the diagnosis of ovarian cancer.

Human serum glycomics is a promising method for finding cancer biomarkers but often lacks the tools for streamlined data analysis. The Glycolyzer software incorporates a suite of analytic tools capable of identifying informative glycan peaks out of raw mass spectrometry data. As a demonstration of its utility, the program was used to identify putative biomarkers for epithelial ovarian cancer from a human serum sample set. A randomized, blocked, and blinded experimental design was used on a discovery set consisting of 46 cases and 48 controls. Retrosynthetic glycan libraries were used for data analysis and several significant candidate glycan biomarkers were discovered via hypothesis testing. The significant glycans were attributed to a glycan family based on glycan composition relationships and incorporated into a linear classifier motif test. The motif test was then applied to the discovery set to evaluate the disease state discrimination performance. The test provided strongly predictive results based on receiver operator characteristic curve analysis. The area under the receiver operator characteristic curve was 0.93. Using the Glycolyzer software, we were able to identify a set of glycan biomarkers that highly discriminate between cases and controls, and are ready to be formally validated in subsequent studies., (© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

The study of tumor biomarkers was gradually facilitated by the adoption of proteomic strategies due to less invasiveness and higher sensitivity. Colorectal cancer is one of the most commonly occurring cancers worldwide and its incidence has markedly increased in Korea. While the adoption of proteomic strategies facilitated the study of tumor biomarkers, to date, no common agreement has been derived from proteomic investigations regarding tumor markers of colorectal cancer. This study was designed to find molecules differentially expressed in colorectal cancer compared to non-tumor mucosa. Four colorectal adenocarcinoma and corresponding non-tumor tissue samples were analyzed to find previously unknown proteins via two-dimensional electrophoresis and MALDI-TOF/MS spectrometry. Western blot assays and tissue microarray (TMA) immunohistochemistry were performed to validate the identified proteins. Among the twelve up-regulated and one down-regulated proteins identified, moesin, cytokeratin (KRT) 17 and carbonic anhydrase I were validated by western blot analysis and/or immunohistochemistry. On immunohistochemistry, both moesin and KRT17 demonstrated a tendency of increased expression as pT stage advanced. Both moesin and KRT17 were not expressed in normal colorectal epithelium. These two proteins may play a role in cancer invasion and/or metastasis in colorectal carcinoma, and could be candidate biomarkers for the diagnosis and prognosis of colorectal cancer.

Objectives: Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related mortality. Development of an early diagnosis method may improve survivals. We aimed to develop a new diagnostic model for NSCLC using serum biomarkers., Methods: We set up a patient group diagnosed with NSCLC (n = 122) and a healthy control group (n = 225). Thirty serum analytes were selected on the basis of previous studies and a literature search. An antibody-bead array of 30 markers was constructed using the Luminex bead array platform (Luminex Inc, Austin, Tex) and was analyzed. Each marker was ranked by importance using the random forest method and then selected. Using selected markers, multivariate classification algorithms were constructed and were validated by application to independent validation cohort of 21 NSCLC and 28 control subjects., Results: There was no difference in demographics between patients and the control population except for age (64.8 ± 10.0 for patients vs 53.0 ± 7.6 years for the control group). Among the 30 serum proteins, 23 showed a difference between the 2 groups (12 increased and 11 decreased in the patient group). We found the highest accuracy of multivariate classification algorithms when using the 5 highest-ranked biomarkers (A1AT, CYFRA 21-1, IGF-1, RANTES, AFP). When we applied the algorithms on a validation cohort, each method recognized the patients from the controls with high accuracy (89.8% with random forest, 91.8% with support vector machine, 88.2% with linear discriminant analysis, and 90.5% with logistic regression)., Conclusions: We confirmed that a new diagnostic method using 5 serum biomarkers profiling constructed by multivariate classification algorithms could distinguish NSCLC from healthy controls with high accuracy., (Copyright © 2012 The American Association for Thoracic Surgery. Published by Mosby, Inc. All rights reserved.)

A simple mass spectrometric approach for the discovery and validation of biomarkers in human plasma was developed by targeting nonglycosylated tryptic peptides adjacent to glycosylation sites in an N-linked glycoprotein, one of the most important biomarkers for early detection, prognoses, and disease therapies. The discovery and validation of novel biomarkers requires complex sample pretreatment steps, such as depletion of highly abundant proteins, enrichment of desired proteins, or the development of new antibodies. The current study exploited the steric hindrance of glycan units in N-linked glycoproteins, which significantly affects the efficiency of proteolytic digestion if an enzymatically active amino acid is adjacent to the N-linked glycosylation site. Proteolytic digestion then results in quantitatively different peptide products in accordance with the degree of glycosylation. The effect of glycan steric hindrance on tryptic digestion was first demonstrated using alpha-1-acid glycoprotein (AGP) as a model compound versus deglycosylated alpha-1-acid glycoprotein. Second, nonglycosylated tryptic peptide biomarkers, which generally show much higher sensitivity in mass spectrometric analyses than their glycosylated counterparts, were quantified in human hepatocellular carcinoma plasma using a label-free method with no need for N-linked glycoprotein enrichment. Finally, the method was validated using a multiple reaction monitoring analysis, demonstrating that the newly discovered nonglycosylated tryptic peptide targets were present at different levels in normal and hepatocellular carcinoma plasmas. The area under the receiver operating characteristic curve generated through analyses of nonglycosylated tryptic peptide from vitronectin precursor protein was 0.978, the highest observed in a group of patients with hepatocellular carcinoma. This work provides a targeted means of discovering and validating nonglycosylated tryptic peptides as biomarkers in human plasma, without the need for complex enrichment processes or expensive antibody preparations.

Glycosylation is highly sensitive to the biochemical environment and has been implicated in many diseases including cancer. Glycan compositional profiling of human serum with mass spectrometry has already identified potential biomarkers for several types of cancer and diseases; however, composition alone does not fully describe glycan stereo- and regioisomeric diversity. The vast structural heterogeneity of glycans presents a formidable analytical challenge. We have developed a method to identify and quantify isomeric native glycans using nanoflow liquid chromatography (nano-LC)/mass spectrometry. A microfluidic chip packed with graphitized carbon was used to chromatographically separate the glycans. To determine the utility of this method for structure-specific biomarker discovery, we analyzed serum samples from two groups of prostate cancer patients with different prognoses. More than 300 N-glycan species (including isomeric structures) were identified, corresponding to over 100 N-glycan compositions. Statistical tests established significant differences in glycan abundances between patient groups. This method provides comprehensive, selective, and quantitative glycan profiling.

Disease biomarkers are predicted to be in low abundance; thus, the most crucial step of biomarker discovery is the efficient fractionation of clinical samples into protein sets that define disease stages and/or predict disease development. For this purpose, we developed a new platform that uses peptide-based size exclusion chromatography (pep-SEC) to quantify disease biomarker candidates. This new platform has many advantages over previously described biomarker profiling platforms, including short run time, high resolution, and good reproducibility, which make it suitable for large-scale analysis. We combined this platform with isotope labeling and label-free methods to identify and quantitate differentially expressed proteins in hepatocellular carcinoma (HCC) tissues. When we combined pep-SEC with a gas phase fractionation method, which broadens precursor ion selection, the protein coverage was significantly increased, which is critical for the global profiling of HCC specimens. Furthermore, pep-SEC-LC-MS/MS analysis enhanced the detection of low-abundance proteins (e.g. insulin receptor substrate 2 and carboxylesterase 1) and glycopeptides in HCC plasma. Thus, our pep-SEC platform is an efficient and versatile pre-fractionation system for the large-scale profiling and quantitation of candidate biomarkers in complex disease proteomes., (Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Aim: To investigate the prognostic significance of S100A4 expression in colorectal cancer and its correlation with expression of E-cadherin and p53., Methods: A cohort of archival formalin-fixed paraffin-embedded specimens was selected from 127 patients with colorectal cancer who underwent surgical resection between April 2000 and March 2004 at the Department of Surgery, Korea University Guro Hospital. The expression of protein S100A4 was evaluated according to the proportion of positively stained cancer cells. In each case, three core biopsies with a diameter of 2 mm were punched out and positioned in a recipient paraffin array block. Four-microm sections of these tissue array blocks were used for immunohistochemical analysis of protein S100A4, E-cadherin, and p53. Clinicopathological data were based on the original histopathologic reports and clinical records of patients., Results: In normal colorectal mucosa, protein S100A4 immunoreactivity was clearly absent in both cytoplasm and nucleus. However, positive immunoreactivity of protein S100A4 was detected in 45 (35.4%) of the tumor cases. There was no significant association between positive immunoreactivity of protein S100A4 and clinicopathological parameters such as tumor differentiation or TNM stage, and also no correlation between the reactivity and E-cadherin or p53 expression. However, positive immunoreactivity of protein S100A4 was found to be associated with tumor recurrence (P = 0.004), and was also associated with significantly worse overall survival in the Kaplan-Meyer survival analysis (P = 0.044). After adjustment for tumor differentiation, tumor depth and nodal status, however, it failed to achieve statistical significance (P = 0.067)., Conclusion: The expression of protein S100A4 is associated with tumor recurrence and poor overall survival in patients with colorectal cancer.

Background/aims: Colorectal cancer (CRC) screening using stool DNA has yielded a greater detection rate than conventional fecal occult blood testing. The aim of this study was to determine the sensitivity and specificity of this detection method for colorectal adenomas and carcinomas using ITGA4, SFRP2 and p16 promoter methylation., Methods: The methylation status of ITGA4, SFRP2 and p16 promoters in bisulfite-modified stool DNA was investigated in a blinded manner with methylation specific PCR (MSP) from 31 endoscopically diagnosed healthy controls, 25 patients with adenomas and 30 patients with CRC., Results: Methylated ITGA4, SFRP2 and p16 promoters were detected in 36.7%, 60.0%, and 40.0% of the CRC samples and in 16.0%, 44.0%, and 24.0% of the colorectal adenomas, respectively. The sensitivity of the combined study using the three markers for CRC and colorectal adenoma detection was 70.0% and 72.0%. The specificity of this method was 96.8%., Conclusion: Our results demonstrate that ITGA4, SFRP2 and p16 promoter methylation in stool samples had high sensitivity and specificity for the detection of colorectal adenomas and CRC. This newly developed screening may be a useful non-invasive alternative screening for CRC detection.

The proliferative capacity of tumor cells is a characteristic feature in the whole growing tumors. Many pathologists and clinicians have used the estimation of cell proliferation for prognostic information. Minichromosome maintenance protein 3 (MCM3) is known to have a role on the initiation and regulation of DNA replication during cell cycle. The aim of this study was to evaluate the potential applicability of one of the MCM proteins, MCM3, as a proliferation marker in papillary thyroid carcinoma (PTC) with correlation to clinicopathological parameters. We performed the immunohistochemical analysis for MCM3 and Ki-67 in 60 cases of PTC and Western blot analysis for MCM3 expression in 6 PTCs and normal thyroid tissues. The comparison of MCM3 labeling index (LI) to tumor size (P=0.031) and extrathyroidal extension (P=0.037) was statistically significant while that of Ki-67 LI to them was not. Moreover, a significant association was not observed between MCM3 and Ki-67, but the MCM3 LI was considerably higher. Western blot analyses revealed that the MCM3 protein expression levels were overexpressed in all PTCs. On the contrary, the levels of MCM3 were very low or absent in all normal thyroid tissues. Our results indicate that MCM3 may be a more reliable proliferation marker than Ki-67 in accessing the growth of tumor and evaluating tumor aggressiveness of PTC., (Copyright 2009 Elsevier Inc. All rights reserved.)

Changes in N-linked glycan structures are related to the initiation and progression of hepatocellular carcinoma (HCC), one of the most common fatal cancers worldwide. In this study, we describe a simple and an efficient strategy for the selective identification and quantitation of N-linked glycoproteins that does not require extensive enrichment steps prior to MS/MS analysis. With this approach, N-linked glycoprotein differences between the plasma of healthy and HCC patients were selectively quantified after iTRAQ labeling. We identified a total of 14 N-linked glycopeptides with higher expression in HCC patient plasma than in healthy controls (>or=1.5 fold). Additionally, we characterized alterations in the glycan structures of vitronectin (Asn-169, 242) and antithrombin III (Asn-225) that were identified in HCC patient plasma. The intact glycopeptides with native glycan structures were also elevated in HCC tumor tissue. Taken together, these data support the utility of our approach for high throughput global profiling and quantification of the N-linked glycopeptides to identify disease biomarkers.

Glycosylation is highly sensitive to the biochemical environment and plays a key role in development and disease manifestation. Moreover, glycan biosynthesis depends on several highly competitive processes; thus, variations in the concentration of specific glycosyltransferases produce different products. For this reason, monitoring changes in glycosylation may be a more specific and sensitive approach to biomarker discovery and possibly disease diagnosis. Glycans in serum are of particular interest as approximately half of all proteins are glycosylated. We have developed the methods for profiling the glycans in human serum to identify glycan biomarker. Global release methods were used including chemical and enzymatic to access O-linked and N-linked glycans, respectively. Glycans were released from the culture medium of various cancer cell lines, in control sera, and in cancer patients and isolated using solid phase extraction (SPE) with a porous graphitized carbon. The SPE fractions were analyzed by matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry (MALDI FTICR MS). Glycan compositions were determined based on accurate masses and tandem mass spectrometry. Glycosylation changes between control and patient group were monitored. Several glycans were identified as potential markers for ovarian, breast, and prostate cancer. In short, direct glycan analysis of human serum without any protein identification represents a new and innovative approach to disease marker discovery.

Background: We aimed to explore the predictive ability of preoperative carbohydrate antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) levels for assessing tumor resectability (R0 resection) in patients with pancreatic adenocarcinoma., Methods: The present study included 72 patients who had been treated surgically for potentially resectable pancreatic adenocarcinoma and 42 patients who had been treated surgically for palliation (bypass surgery) at our institution. Pancreatic adenocarcinoma was histologically confirmed by pathological examination of the resected specimen or, if unresected, by intraoperative biopsy., Results: For resectable disease, the mean and median values of CA19-9 were significantly lower than for R1/2 or unresectable disease. The best cut-off points for CEA, CA19-9, and tumor size to predict resectability were 2.47 ng/mL, 92.77 U/mL and 11.85 cm(3), respectively. A CA19-9 > or = 92.77 U/mL and both tumor markers no less than the cut-off levels predicted the possibility of R1/2 or unresectability with 90.6% and 88.6% accuracy, respectively. However, either tumor marker or both tumor markers less than the cut-off levels predicted the probability of R0 resection only with 27.1% and 40.6% accuracy, respectively. The independent contributing factors to resectability (R0 resection) by multivariate regression analysis were a CA 19-9 < 92.77 U/mL, a tumor size < 11.85 cm(3), and a less advanced AJCC stage., Conclusion: The present study demonstrates that preoperative serum CA19-9 and CEA levels can be used for the prediction of resectability (R0 resection) in patients with pancreatic adenocarcinoma, which may enable a simple and cost-effective exclusion of such patients who are unlikely to benefit from surgery.

Background and Aim: Metastasis is a multistep event in which neoplastic cells detach from the tumor, migrate, disseminate, extravasate, and eventually proliferate at the secondary distant sites. Hepatocellular carcinoma (HCC) is characterized by hypervascularity and frequent metastasis. Recently, metastasis-associated proteins were identified and named metastatic tumor antigens (MTA) 1, 2, and 3. They have been found to be contained in the nucleosome remodeling and histone deacetylase complex. MTA2 has been reported to interact with p53 and inhibit p53-mediated cell growth arrest and apoptosis by deacetylation. Although it has been reported that the expression of MTA1 is related to tumor progression and metastasis, it is still unclear how MTA2 is involved in HCC. In this study, we found that the overexpression of MTA2 is associated with HCC size and differentiation after hepatectomy., Methods: The expression of MTA2 was examined in 506 human HCC samples that underwent hepatic resection using tissue microarray. The expression of MTA2 was classified into 0, 1, 2, and 3, based on immunoreactivity., Results: The expression of MTA2 was predominantly localized to the nucleus. MTA2 was detected in 487 (96.2%) of the 506 human HCC samples. Notably, the MTA2 expression level strongly increased depending on the size and differentiation of HCC., Conclusions: These findings indicate a tight correlation between the MTA2 expression level and HCC size and differentiation. Therefore, MTA2 might be a predictor of aggressive phenotypes and a possible target molecule for anticancer drug design in human HCC.

To identify and characterize a serologic glycoprotein biomarker for hepatocellular carcinoma (HCC), multi-lectin affinity chromatography was used to isolate intracellular N-linked glycoprotein fractions from five paired non-tumor and tumor tissues. From the series of 2-D DIGE targeted differentially expressed N-linked glycoproteins, we identified human liver carboxylesterase 1 (hCE1), which was remarkably down-regulated in tumor tissues, a finding confirmed by Western blot, a quantitative real-time RT-PCR, and immunohistochemical staining of non-tumor and tumor tissues from total 58 HCC patients. To investigate whether hCE1 is also present in human plasma, we employed a magnetic bead-based immunoprecipitation followed by nano-LC-MS/MS analysis, and we found for the first time that hCE1 is present in human plasma as opposed to that in liver tissues. That is, from normalization of hCE1 signal by the immunoprecipitation and Western blot analysis, hCE1 levels were increased in plasma specimens from HCC patients than in plasma from other disease patient groups (e.g. liver cirrhosis, chronic hepatitis, cholangiocarcinoma, stomach cancer, and pancreatic cancer). From the receiver operating characteristic analysis in HCC, both sensitivity and specificity were shown to be greater than 70.0 and 85.0%, respectively. Thus, the high-resolution proteomic approach demonstrates that hCE1 is a good candidate for further validation as a serologic glycoprotein biomarker for HCC.

We have developed a proteome database (DB), BiomarkerDigger (http://biomarkerdigger.org) that automates data analysis, searching, and metadata-gathering function. The metadata-gathering function searches proteome DBs for protein-protein interaction, Gene Ontology, protein domain, Online Mendelian Inheritance in Man, and tissue expression profile information and integrates it into protein data sets that are accessed through a search function in BiomarkerDigger. This DB also facilitates cross-proteome comparisons by classifying proteins based on their annotation. BiomarkerDigger highlights relationships between a given protein in a proteomic data set and any known biomarkers or biomarker candidates. The newly developed BiomarkerDigger system is useful for multi-level synthesis, comparison, and analyses of data sets obtained from currently available web sources. We demonstrate the application of this resource to the identification of a serological biomarker for hepatocellular carcinoma by comparison of plasma and tissue proteomic data sets from healthy volunteers and cancer patients.

Reversible phosphorylation of proteins is the most common PTM in cell-signaling pathways. Despite this, high-throughput methods for the systematic detection, identification, and quantification of phosphorylated peptides have yet to be developed. In this paper, we describe the establishment of an efficient online titaniuim dioxide (TiO2)-based 3-D LC (strong cationic exchange/TiO2/C18)-MS(3)-linear ion trap system, which provides fully automatic and highly efficient identification of phosphorylation sites in complex peptide mixtures. Using this system, low-abundance phosphopeptides were isolated from cell lines, plasma, and tissue of healthy and hepatocellular carcinoma (HCC) patients. Furthermore, the phosphorylation sites were identified and the differences in phosphorylation levels between healthy and HCC patient specimens were quantified by labeling the phosphopeptides with isotopic analogs of amino acids (stable isotope labeling with amino acids in cell culture for HepG2 cells) or water (H(2) (18)O for tissues and plasma). Two examples of potential HCC phospho-biomarkers including plectin-1(phopho-Ser-4253) and alpha-HS-glycoprotein (phospho-Ser 138 and 312) were identified by this analysis. Our results suggest that this comprehensive TiO2-based online-3-D LC-MS(3)-linear ion trap system with high-throughput potential will be useful for the global profiling and quantification of the phosphoproteome and the identification of disease biomarkers.

Motivation: The development of better tests to detect cancer in its earliest stages is one of the most sought-after goals in medicine. Especially important are minimally invasive tests that require only blood or urine samples. By profiling oligosaccharides cleaved from glycosylated proteins shed by tumor cells into the blood stream, we hope to determine glycan profiles that will help identify cancer patients using a simple blood test. The data in this article were generated using matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry (MALDI FT-ICR MS). We have developed novel methods for analyzing this type of mass spectrometry data and applied it to eight datasets from three different types of cancer (breast, ovarian and prostate)., Results: The techniques we have developed appear to be effective in the analysis of MALDI FT-ICR MS data. We found significant differences between control and cancer groups in all eight datasets, including two structurally related compounds that were found to be significantly different between control and cancer groups in all three types of cancer studied.

Disruption of cell cycle controls is a pathognomonic feature of all malignant cells. Therefore, we immunohistochemically investigated the relationship between cell cycle regulatory proteins and clinicopathologic features in order to identify the biomarkers related to the outcome of patients with biliary tract cancer (BTC). A cohort of paraffin-embedded specimens were selected from 36 patients, including 18 gallbladder and 18 extrahepatic bile duct cancers, who underwent curative or palliative surgical resection at Korea University Medical Center from June 1998 to December 2004. Tissue microarrays were used to investigate the immunohistochemical staining for p21, p27, p53, cyclin D1, bcl2, and Ki-67. Univariate and multivariate survival analyses were performed to determine the prognostic significance of each protein expression. Absence of p21 expression independently predicted poor outcome in all cases. Well-differentiated tumor was found to be an independent good prognostic factor in gallbladder cancer. Absence of p21 expression and moderately to poorly differentiated tumor were found to be an independent poor prognostic factor in patients with negative for neural invasion. Absence of p21 and bcl2 were found to be an independent poor prognostic factor in patients with no lymph node metastasis. Absence of p21 expression was a significant independent poor prognostic factor in BTC, partly in patients with biologically less aggressive phenotypes. This finding suggests that determination of p21 expression in surgically resected specimens may provide prognostic information in addition to conventional pathologic findings for patients with BTC, especially those who have biologically less aggressive phenotypes.

Prostate cancer is a leading cause of cancer death among men. Currently available screening test measures prostate-specific antigen (PSA) to detect prostate cancer. However, this test produces false positive values that often lead to negative biopsies. Therefore, a more reliable diagnostic tool is needed. Glycans in serum are of particular interest as around half of all proteins are glycosylated. In this study, N-linked glycans were enzymatically released by PNGase F from prostate epithelial cell lines (pRNS) expressing wild type or mutant androgen receptors and a small set of human serum samples. Released glycans were purified and partitioned into neutral and acidic components by solid phase extraction (SPE) using graphitized carbon cartridges. The SPE fractions were analyzed by matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry (MALDI FT-ICR MS). Significant changes in some high-mannose and fucosylated biantennary complex N-linked glycans were observed in the serum of prostate cancer patients.