Matthias Ebert

MALDI Imaging Combined with Hierarchical Clustering as a New Tool for the Interpretation of Complex Human Cancers

Proteomics analyses have been exploited for the discovery of novel biomarkers for the early recognition and prognostic stratification of cancer patients. These analyses have now been extended to whole tissue sections by using a new tool, that is, MALDI imaging. This allows the spatial resolution of protein and peptides and their allocation to histoanatomical structures. Each MALDI imaging data set contains a large number of proteins and peptides, and their analysis can be quite tedious. We report here a new approach for the analysis of MALDI imaging results. Mass spectra are classified by hierarchical clustering by similarity and the resulting tissue classes are compared with the histology. The same approach is used to compare data sets of different patients. Tissue sections of gastric cancer and non-neoplastic mucosa obtained from 10 patients were forwarded to MALDI-Imaging. The in situ proteome expression was analyzed by hierarchical clustering and by principal component analysis (PCA). The reconstruction of images based on principal component scores allowed an unsupervised feature extraction of the data set. Generally, these images were in good agreement with the histology of the samples. The hierarchical clustering allowed a quick and intuitive access to the multidimensional information in the data set. It allowed a quick selection of spectra classes representative for different tissue features. The use of PCA for the comparison of MALDI spectra from different patients showed that the tumor and non-neoplastic mucosa are separated in the first three principal components. MALDI imaging in combination with hierarchical clustering allows the comprehensive analysis of the in situ cancer proteome in complex human cancers. On the basis of this cluster analysis, classification of complex human tissues is possible and opens the way for specific and cancer-related in situ biomarker analysis and identification.

(18)F-FDG PET-guided salvage neoadjuvant radiochemotherapy of adenocarcinoma of the esophagogastric junction : the MUNICON II trial

Previous studies demonstrated that chemotherapy-induced changes in tumor glucose metabolism measured with 18F-FDG PET identify patients who benefit from preoperative chemotherapy and those who do not. The prognosis for chemotherapy metabolic nonresponders is poorer than for metabolic responders. Therefore, we initiated this prospective trial to improve the clinical outcome of metabolic nonresponders using a salvage neoadjuvant radiochemotherapy. Methods: Fifty-six patients with locally advanced adenocarcinomas of the esophagogastric junction were included. Tumor glucose uptake was assessed by 18F-FDG PET before chemotherapy and 14 d after initiation of chemotherapy. PET nonresponders received salvage neoadjuvant radiochemotherapy, whereas metabolic responders received neoadjuvant chemotherapy for 3 mo before surgery. Results: Thirty-three patients were metabolic responders, and 23 were nonresponders. Resection was performed on 54 patients. R0 resection rate was 82% (95% confidence interval [CI], 66%–91%) in metabolic responders and 70% (95% CI, 49%–84%) in metabolic nonresponders (P = 0.51). Major histologic remissions were observed in 12 metabolic responders (36%; 95% CI, 22%–53%) and 6 nonresponders (26%; 95% CI, 13%–46%). One-year progression-free rate was 74% ± 8% in PET responders and 57% ± 10% in metabolic nonresponders (log rank test, P = 0.035). One-year overall survival was comparable between the groups (∼80%), and 2-y overall survival was estimated to be 71% ± 8% in metabolic responders and 42% ± 11% in PET nonresponders (hazard ratio, 1.9; 95% CI, 0.87–4.24; P = 0.10). Conclusion: This prospective study showed the feasibility of a PET-guided treatment algorithm. However, by comparing the groups of nonresponding patients in the current trial and the previous published MUNICON (Metabolic response evalUatioN for Individualisation of neoadjuvant Chemotherapy in Esophageal and esophagogastric adeNocarcinoma) I trial, increased histopathologic response was observed after salvage radiochemotherapy, but the primary endpoint of the study to increase the R0 resection rate was not met. The prognosis of the subgroup of PET nonresponders remains poor, indicating their different tumor biology.

Caveats of caveolin-1 in cancer progression

Caveolin-1, an essential scaffold protein of caveolae and cellular transport processes, lately gained recognition as a stage- and tissue-specific tumor modulator in vivo. Patient studies and rodent models corroborated its janus-faced role as a tumor suppressor in non-neoplastic tissue, its down-regulation (loss of function) upon transformation and its re-expression (regain of function) in advanced-stage metastatic and multidrug resistant tumors. This review is focussed on the role of caveolin-1 in metastasis and angiogenesis and its clinical implications as a prognostic marker in cancer progression.

Angiotensin II Receptor Blockade Reduces Tachycardia-Induced Atrial Adhesion Molecule Expression

Background— Increased levels of inflammatory markers are predictors of thromboembolic events during atrial fibrillation (AF). Increased endocardial expression of adhesion molecules (ie, vascular cell adhesion molecule [VCAM] and intercellular adhesion molecule [ICAM]) could be an important link between initiation of inflammatory and prothrombogenic mechanisms responsible for thrombus development at the atrial endocardium (endocardial remodeling). Methods and Results— Tissue microarrays were used to screen right atrial tissue specimens obtained from 320 consecutive patients for differences in atrial expression of the prothrombogenic proteins VCAM-1, ICAM-1, thrombomodulin, plasminogen activator inhibitor-1, and von Willebrand factor. An in vitro organotypic human atrial tissue model and a pig model of rapid atrial pacing were used to determine the therapeutic impact of angiotensin II receptor blockade. Immunohistochemical analyses showed that all prothrombogenic proteins are expressed by endocardial cells. Using multivariable analysis, only the intensity of VCAM-1 expression was increased in patients with AF (P=0.03). Increased atrial VCAM-1 expression was confirmed by Western blotting in patients with persistent and paroxysmal AF (persistent AF 207±42% versus sinus rhythm 100±16%, P=0.028; paroxysmal AF 193±42%, P=0.024 versus sinus rhythm). In vitro pacing of ex vivo human atrial tissue slices confirmed that rapid activation causes VCAM-1 upregulation (mRNA and protein levels). Pacing-induced VCAM-1 expression was abolished by olmesartan. To confirm this finding in vivo, VCAM-1 expression was determined in 14 pigs after rapid atrial pacing (600 bpm). Atrial tachycardia caused an upregulation of VCAM-1 expression, which was prevented by irbesartan, consistent with the observed increase in plasma levels of angiotensin II. Alterations in the in vivo VCAM-1 expression were more pronounced in the left atrium (>5-fold compared with sham) than in the right atrium (3.5-fold compared with sham). Conclusions— AF and rapid atrial pacing both increase endocardial VCAM-1 expression, which can be attenuated by angiotensin II receptor blockade. This provides evidence that angiotensin II plays a pathophysiological role in prothrombotic endocardial remodeling.

Tumor Classification of Six Common Cancer Types Based on Proteomic Profiling by MALDI Imaging

In clinical diagnostics, it is of outmost importance to correctly identify the source of a metastatic tumor, especially if no apparent primary tumor is present. Tissue-based proteomics might allow correct tumor classification. As a result, we performed MALDI imaging to generate proteomic signatures for different tumors. These signatures were used to classify common cancer types. At first, a cohort comprised of tissue samples from six adenocarcinoma entities located at different organ sites (esophagus, breast, colon, liver, stomach, thyroid gland, n = 171) was classified using two algorithms for a training and test set. For the test set, Support Vector Machine and Random Forest yielded overall accuracies of 82.74 and 81.18%, respectively. Then, colon cancer liver metastasis samples (n = 19) were introduced into the classification. The liver metastasis samples could be discriminated with high accuracy from primary tumors of colon cancer and hepatocellular carcinoma. Additionally, colon cancer liver metastasis samples could be successfully classified by using colon cancer primary tumor samples for the training of the classifier. These findings demonstrate that MALDI imaging-derived proteomic classifiers can discriminate between different tumor types at different organ sites and in the same site.

The Number of Lymph Node Metastases in Gastric Cancer Correlates with the Angiotensin I–Converting Enzyme Gene Insertion/Deletion Polymorphism

Purpose: In the present study, we aimed to substantiate the putative significance of angiotensin I–converting enzyme (ACE) on gastric cancer biology by investigating the influence of its gene polymorphism on gastric cancer progression. Experimental Design: Genomic DNA was purified from peripheral blood mononuclear cells or tissue specimens. Amplified ACE gene fragments were separated on agarose gels. D or I alleles were identified by the presence of 190- or 490-bp fragments, respectively. Local expression of ACE was investigated by immunohistochemistry. Results: Twenty-four of 113 (21%) gastric cancer patients had the II, 57 (51%) the ID, and 32 (28%) the DD genotype. The distribution of the ACE genotypes did not differ significantly from the control group of 189 patients without gastric cancer. However, the ACE genotypes correlated with the number of lymph node metastases and the Unio Internationale Contra Cancrum (UICC) tumor stage. Patients with the II genotype had a highly significantly smaller number of lymph node metastases (P < 0.001) and a significantly lower UICC tumor stage (P = 0.01) than patients with the DD genotype. No correlation was found between tumor type, tumor location, local tumor growth, distant metastases, and the ACE genotype. The expression of ACE in gastric cancer was investigated by immunohistochemistry in 100 of 113 patients. ACE was expressed by endothelial cells in all (100%) specimens and by tumor cells in 56 (56%) specimens. Conclusions: Our study shows that ACE is expressed locally in gastric cancer and that the gene polymorphism influences metastatic behavior.

Classification of HER2/neu Status in Gastric Cancer Using a Breast-Cancer Derived Proteome Classifier.

HER2-testing in breast and gastric cancers is mandatory for the treatment with trastuzumab. We hypothesized that imaging mass spectrometry (IMS) of breast cancers may be useful for generating a classifier that may determine HER2-status in other cancer entities irrespective of primary tumor site. A total of 107 breast (n = 48) and gastric (n = 59) cryo tissue samples was analyzed by IMS (HER2 was present in 29 cases). The obtained proteomic profiles were used to create HER2 prediction models using different classification algorithms. A breast cancer proteome derived classifier, with HER2 present in 15 cases, correctly predicted HER2-status in gastric cancers with a sensitivity of 65% and a specificity of 92%. To create a universal classifier for HER2-status, breast and nonbreast cancer samples were combined, which increased sensitivity to 78%, and specificity was 88%. Our proof of principle study provides evidence that HER2-status can be identified on a proteomic level across different cancer types suggesting that HER2 overexpression may constitute a unique molecular event independent of the tumor site. Furthermore, these results indicate that IMS may be useful for the determination of potential drugable targets, as it offers a quicker, cheaper, and more objective analysis than the standard HER2-testing procedures immunohistochemistry and fluorescence in situ hybridization.

Differential Expression and Function of Caveolin-1 in Human Gastric Cancer Progression

Caveolin-1 is a scaffold protein of caveolae that acts as a tumor modulator by interacting with cell adhesion molecules and signaling receptors. The role of caveolin-1 in the pathogenesis of gastric cancer (GC) is currently unknown. We show by confocal immunofluorescence microscopy and immunohistochemistry of biopsies from GC patients (n = 41) that the nonneoplastic mucosa expressed caveolin-1 in foveolar epithelial cells and adjacent connective tissue. GC cells of only 3 of 41 (7%) patients expressed caveolin-1 and were all of the intestinal type. Quantitative PCR and Western blotting confirmed that, compared with nonneoplastic tissue, the overall caveolin-1 mRNA was decreased in 14 of 19 (74%) GC patients and protein in 7 of 13 (54%), respectively. Strong caveolin-1 reactivity was found in the nonepithelial compartment (myocytes, fibroblasts, perineural, and endothelial cells) in both tumor-free and GC samples. In a series of human GC cell lines, caveolin-1 expression was low in cells derived from a primary tumor (AGS and SNU-1) but was increased in cell lines originating from distant metastases (MKN-7, MKN-45, NCI-N87, KATO-III, and SNU-5). Ectopic expression of caveolin-1 in AGS cells decreased proliferation but promoted anchorage-independent growth and survival. RNAi-mediated knockdown of endogenous caveolin-1 in MKN-45 cells accelerated cell growth. These data indicate that caveolin-1 exhibits a stage-dependent differential expression and function in GC and may thereby contribute to its pathogenesis.

The Angiotensin I–Converting Enzyme Gene Insertion/Deletion Polymorphism Is Linked to Early Gastric Cancer

The insertion/deletion polymorphism of the angiotensin I–converting enzyme (ACE) gene has recently been linked to the pathogenesis and progression of human cancers. Using genomic DNA from 88 patients with early gastric cancer confined either to mucosa (pT1a) or submucosa (pT1b), we assessed the insertion (I) and deletion (D) polymorphism by PCR analysis and compared it with a large noncancer control population (n = 145). In the noncancer control group, the II genotype was observed in 33 (23%) individuals, whereas the ID and DD genotypes were found in 72 (50%) and 40 (27%) individuals, respectively. Interestingly, in the cancer group, we found the II genotype in six (7%) patients and the ID genotype in 46 (52%) individuals, whereas the DD genotype was observed in 36 (41%) individuals (P = 0.0034). Accordingly, the odds ratio for the II genotype was 0.20 [95% confidence interval (95% CI), 0.08-0.54; P = 0.009] and 0.55 for the ID/II genotype (95% CI, 0.31-0.96; P = 0.044) using the high-activity genotype DD as the reference category. No correlation was found among tumor type, tumor stage, the presence of Helicobacter pylori, and the ACE genotype. Our study provides further evidence that the ACE insertion/deletion gene polymorphism may be linked to the development of early gastric cancer. (Cancer Epidemiol Biomarkers Prev 2005;14(12):2987–9)

Comparison of two enzyme immunoassays for the assessment of Helicobacter pylori status in stool specimens after eradication therapy

OBJECTIVES:Assessment of Helicobacter pylori antigen in stool specimens has recently been proposed as a valid method for the noninvasive detection of H. pylori infection, especially as posttreatment control. After the development of an enzyme immunoassay based on polyclonal antibodies (Premier Platinum HpSA) a monoclonally based test has recently been developed (FemtoLab H. pylori). The aim of the present study was to assess the diagnostic accuracy of both tests in adult patients undergoing H. pylori eradication therapy.METHODS:Stool samples were collected and the 13C-urea breath test performed in 148 patients (79 females and 69 males aged 21–75 yr) 4–6 wk after eradication therapy. The FemtoLab H. pylori and Premier Platinum HpSA tests were performed in accordance with the manufacturers’ protocols. A receiver operator characteristics analysis was performed to define the optimal cutoff value on the basis of the results of the 13C-urea breath test.RESULTS:H. pylori eradication was successful in 113 of the 148 patients (76%). After adjusting the cutoff, the sensitivity of FemtoLab H. pylori was found to be higher than that of the Premier Platinum HpSA (94.3% vs 80.0%, ns). Specificity, positive predictive value, and negative predictive value of the two tests were comparable (93.8% vs 95.6%, 82.8% vs 85.2%, and 98.1% vs 93.8%, respectively).CONCLUSIONS:The new stool antigen test (FemtoLab H. pylori) is an excellent tool for diagnosing H. pylori infection after eradication therapy, and its accuracy is comparable with that of the Premier Platinum HpSA. Adjustment of the cutoff after H. pylori eradication therapy increases the overall accuracy.