Conventional Prognostic Markers Research Articles

A pre-operative elevated neutrophil: lymphocyte ratio does not predict survival from oesophageal cancer resection

BackgroundElevated pre-operative neutrophil: lymphocyte ratio (NLR) has been identified as a predictor of survival in patients with hepatocellular and colorectal cancer. The aim of this study was to examine the prognostic value of an elevated preoperative NLR following resection for oesophageal cancer.MethodsPatients who underwent resection for oesophageal carcinoma from June 1997 to September 2007 were identified from a local cancer database. Data on demographics, conventional prognostic markers, laboratory analyses including blood count results, and histopathology were collected and analysed.ResultsA total of 294 patients were identified with a median age at diagnosis of 65.2 (IQR 59-72) years. The median pre-operative time of blood sample collection was three days (IQR 1-8). The median neutrophil count was 64.2 × 10-9/litre, median lymphocyte count 23.9 × 10-9/litre, whilst the NLR was 2.69 (IQR 1.95-4.02). NLR did not prove to be a significant predictor of number of involved lymph nodes (Cox regression, p = 0.754), disease recurrence (p = 0.288) or death (Cox regression, p = 0.374). Furthermore, survival time was not significantly different between patients with high (≥ 3.5) or low (< 3.5) NLR (p = 0.49).ConclusionPreoperative NLR does not appear to offer useful predictive ability for outcome, disease-free and overall survival following oesophageal cancer resection.

The prognostic value of repeated measurement of N‐terminal pro‐B‐type natriuretic peptide in patients with chronic heart failure due to left ventricular systolic dysfunction

Decreased N-terminal pro-B-type natriuretic peptide (NT-proBNP) during treatment of chronic heart failure (CHF) is associated with improved prognosis. However, there is lack of data from community-based HF programmes. We hypothesized that plasma levels of NT-proBNP, measured after optimization of pharmacotherapy in patients with CHF, may provide independent prognostic information when compared with baseline values and conventional prognostic markers. N-terminal pro-B-type natriuretic peptide was measured in 354 patients with CHF and left ventricular ejection fraction <45%, who had recently been enrolled in a community-based HF programme. Patients underwent a 6 min walk test and clinical, echocardiographic and laboratory examinations. Pharmacotherapy was optimized; 318 patients survived until the second examination and measurement of NT-proBNP, which was performed between the 4th and 6th month of follow-up. During a median follow-up of 38.8 months, 125 patients died. Follow-up log NT-proBNP was a better predictor of death than either baseline log NT-proBNP or change in NT-proBNP (chi(2): 46.5 vs. 30.4 and 12.5, all P < 0.001). N-terminal pro-B-type natriuretic peptide was consistently the strongest independent prognostic marker at predicting death or unplanned cardiovascular hospitalizations after baseline or follow-up assessment. The measurement of NT-proBNP after optimization of pharmacotherapy provides stronger prognostic information than either the baseline value, the change in NT-proBNP, or other conventional methods of assessment.

Correlation of E-cadherin expression and routine immunohistochemistry panel in breast invasive ductal carcinoma

Down-regulation of the epithelial cell-cell adhesion molecule E-cadherin is frequently associated with tumor formation and progression in breast cancer. The aim of this study is the assessment of relationship between E-cadherin expression and routine prognostic biomarkers as well as grading and lymph node status in breast invasive ductal carcinomas. . The associations between co-expression of E-cadherin and other biomarkers on one hand and grading, proliferating index and lymph node status on the other have also been evaluated. To evaluate the correlation of E-cadherin expression and routine immunohistochemistry panel in breast invasive ductal carcinoma. 108 formalin-fixed and paraffin-embedded breast cancer specimens (of invasive ductal carcinoma "NOS" type) from the pathology archive of Alzahra hospital(Isfahan, Iran) which had been studied for expression of routine molecular biomarkers were selected. E-cadherin expression was detected by immunohistochemistry. Stained sections were classified according to the intensity of staining and the percentage of cells showing E-cadherin staining. No association was found between E-cadherin alteration and ER, PR, p53, Ki67 and HER2/neu status of breast cancer. However, E-cadherin alteration showed a significant difference between grading and also lymph node groups. There was no association between co-expression of E-cadherin/ER, E-cadherin/PR, E-cadherin/Her-2neu, E-cadherin/p53 and Her-2neu/p53 on one hand and Ki67 status and tumor grade on the other. Co-expressions of E-cadherin/Her-2neu and E-cadherin/p53 showed significant difference in lymph node groups. We found that E-cadherin alteration in breast cancer has an association with other important prognostic factors. Evaluation of E-cadherin status can help, independently or in addition to conventional biological prognostic markers, to identify prognosis of breast cancer.

The Prognostic Significance of Survivin Expression in Breast Cancer

Purpose: Survivin is a member of the inhibitors of apoptosis family. It has recently comes into the limelight as a promising tumor marker, but many previous reports have shown controversial results regarding the significance and prognostic value of a survivin expression. In this study we determined the correlation between the survivin expression and the conventional prognostic markers and we also investigated the outcomes according to the localization of the survivin expression. Methods: Tissue microarray (TMA) blocks were made with formalin-fixed paraffin-embedded tissues from 185 breast cancer patients and the immunohistochemical staining was done using an anti-survivin antibody. Among these, 157 patients were available for a survivin expression. The conventional clinicopathologic features and overall survival were correlated with the localization of the survivin expression. Results: Survivin was expressed in 101 breast cancers (64.3%). A higher cytoplasmic survivin expression were noted in the older group (p=0.003), in the node-negative cancers (p= 0.012), in the earlier tumor stages (p=0.012) and in the cancers that had not been treated with adjuvant chemotherapy (p=0.014). On the contrary, a higher nuclear survivin expression was inversely correlated with an estrogen expression (p=0.006) and a progesterone receptor (p=0.043) expression. In terms of survival, a cytoplasmic expression was associated with improved overall survival (p=0.01) but a nuclear survivin expression was correlated with unfavorable overall survival (p=0.002). A high cytoplasmic to nuclear ratio of survivin was associated with improved overall survival (p=0.001) conversely, increased nuclear to cytoplasmic survivin ratio was correlated with unfavorable overall survival (p<0.0001). Multivariate analysis revealed that nuclear survivin expression (p= 0.001) and high nuclear to cytoplasmic survivin ratio (p=0.012) were independent predictor of overall survival. Conclusion: Survivin is frequently expressed in primary breast cancer. A cytoplasmic survivin expression is a good prognostic predictor for patients with axillary node negative early breast cancers and a nuclear survivin expression is a worse independent predictor of overall survival for patients with axillary node positive breast cancers.

Integrating Circulating Tumor Cell Assays into the Management of Breast Cancer

Breast cancer is the most frequent type of cancer in women with major cause of death being metastatic disease. Despite aggressive adjuvant systemic therapy with a variety of novel chemotherapeutic and biologic agents recurrence rates vary widely with current conventional prognostic and predictive markers failing to reliably predict recurrence in either node negative (low risk of recurrence) or node positive (considered to have a high risk of recurrence). The ability to detect the presence of minimal residual disease in various body compartments such as the bone marrow, lymph nodes, and peripheral blood represents a viable alternative. Various methods to detect circulating tumor cells (CTCs) have been described including techniques based on polymerase chain reactions (PCR) and cell enrichment methods. Studies have shown that CTCs in metastatic breast cancer can be used as a marker for overall survival and assessment of therapeutic response. The role of CTCs in early stage breast cancer is less well-established. Large prospective trials are needed to further understand its biology and confirm its role as a predictive and prognostic marker before we can incorporate it into the conventional staging system.

A comparison of the vascular density of VEGF expression with microvascular density determined with CD34 and CD31 staining and conventional prognostic markers in renal cell carcinoma

The aim of this study was to compare the vascular density of Vascular endothelial growth factor (VEGF) expression with microvascular density determined by CD34 and CD31 with conventional prognostic parameters. The study involved 50 renal cell carcinoma (RCC) cases. VEGF, CD34, and CD31 were stained by immunohistochemistry, and then preparations were evaluated by two pathologists under light microscopy. The whole tumor area was scrutinized in all the sections. In the evaluation of VEGF, due to the lack of homogenous staining within the tumor, two parameters, distribution and intensity of expression, were evaluated semiquantitively. In the evaluation of microvascular density with CD34 and CD31 staining, three hot areas with the highest density were determined. In x200 magnification of these areas, on a single plane, the quantity of vascular structures with lumens was determined. Intensity of VEGF Expression was higher in papillary type carcinoma of kidney parenchyma (P = 0.014) and it was significantly correlated with tumor stage (P = 0.013), survival time (P = 0.01), and tumor size (P = 0.035). Distribution of VEGF expression was also higher in papillary RCC (P = 0.055) and it was significantly correlated with tumor stage (P = 0.043) and tumor size (P = 0.039). Vascular density determined with CD34 staining was higher in conventional RCC (P < 0.05); in addition, it was significantly correlated with distribution and intensity of VEGF expression (P < 0.05) and tumor stage (P < 0.05). Vascular density determined with CD31 staining was not significantly correlated with tumor type, tumor stage, nuclear grade, and survival time. Intensity and distribution of VEGF were higher in papillary RCC. Both parameters were significantly correlated with tumor size, stage, and vascular density determined with CD34 staining. Intensity of VEGF was also significantly correlated with capsule invasion. Vascular density determined with CD34 staining, however, was higher in conventional RCC, and it was correlated with tumor size and stage.

MMP-2 expression associates with CA 125 and clinical course in endometrial carcinoma

Matrix metalloproteinases have long been associated with aggressive behavior of several malignancies, but their role in endometrial cancer has not been conclusively established. This study aimed to evaluate the roles of matrix metalloproteinase-2 (MMP-2) and -9 (MMP-9) as prognostic factors in endometrial carcinoma and their association with CA 125 and other conventional prognostic markers. The MMP-2 and MMP-9 immunoreactive proteins were evaluated from primary tumors of endometrial carcinoma in 266 specimens by using a specific monoclonal antibody in immunohistochemical stainings. The median follow-up time was 79 months. Expression of the MMP-2 and MMP-9 proteins was found in 88% and 70% of the primary tumors, respectively. Positive MMP-2 immunostaining was associated with a shortened recurrence-free (P=0.04) and cancer-specific survival (P=0.05). MMP-2 negativity was linked with a favorable prognosis; only one patient developed recurrent disease and died during the follow-up. Preoperative serum levels of CA 125 were higher in the patients presenting with tumors positive for MMP-2 than in those with negative immunostaining (P=0.03). We suggest that MMP-2 is linked with biologically aggressive nature of this cancer type. It seems that MMP-2, but not MMP-9, has some prognostic value in endometrial carcinoma. However, the conventional prognostic markers are superior to MMP-2 in assessing aggressive behavior and cancer-specific survival in endometrial cancer.

Expression profiling defines a recurrence signature in lung squamous cell carcinoma

Lung cancer remains the leading cause of cancer death worldwide. Overall 5-year survival is approximately 10-15% and despite curative intent surgery, treatment failure is primarily due to recurrent disease. Conventional prognostic markers are unable to determine which patients with completely resected disease within each stage group are likely to relapse. To identify a gene signature associated with recurrent squamous cell carcinoma (SCC) of lung, we analyzed primary tumor gene expression for a total of 51 SCCs (Stages I-III) on 22 323 element microarrays, comparing expression profiles for individuals who remained disease-free for a minimum of 36 months with those from individuals whose disease recurred within 18 months of complete resection. Cox proportional hazards modeling with leave-one-out cross-validation identified a 71-gene signature capable of predicting the likelihood of tumor recurrence and a 79-gene signature predictive for cancer-related death. These two signatures were pooled to generate a 111-gene signature which achieved an overall predictive accuracy for disease recurrence of 72% (77% sensitivity, 67% specificity) in an independent set of 58 (Stages I-III SCCs). This signature also predicted differences in survival [log-rank P=0.0008; hazard ratio (HR), 3.8; 95% confidence interval (CI), 1.6-8.7], and was superior to conventional prognostic markers such as TNM stage or N stage in predicting patient outcome. Genome-wide profiling has revealed a distinct gene-expression profile for recurrent lung SCC which may be clinically useful as a prognostic tool.

Analysis of the VEGF family and their receptors in serum/plasma of patients with pre-invasive and invasive cervical cancer

5016 Background: The vascular endothelial growth factor (VEGF) family and their receptors are essential regulators of angiogenesis and lymphangiogenesis. This study examined the significance of circulating VEGF, VEGF-C, VEGF-D and their receptors VEGFR-1 and VEGFR-2 in patients with preinvasive and invasive cancer in relation to conventional prognostic parameters. Methods: Blood samples were obtained from 125 women before initial treatment (CIN I-III n = 50; FIGO stage I-IV n = 51; relapse n = 24). Plasma (p) and serum(s) levels of pVEGF, sVEGF-D, sVEGFR-1, sVEGFR-2 (R&amp;D Systems, USA) and sVEGF-C (IBL, Japan) were determined by using a quantitative sandwich enzyme-linked immunosorbent assay (ELISA). Results: The highest level of pVEGF (p = 0.007) and sVEGFR-2 (p = 0.014) were detected in patients with recurrent disease, whereas the highest level of sVEGF-D (p = 0.046) were measured in patients with preinvasive lesions (CIN I-III). Furthermore, significantly elevated levels of sVEGF-C (p = 0.021) were detected in early stages (FIGO I-II) in comparison with advanced stages (FIGO III-IV) of cervical cancer. No significant difference in concentration was observed between the various grades of cervical intraepithelial neoplasia (CIN I-III). Correlations between conventional prognostic markers such as lymph node status (N0/N1), lymphangioinvasion (L0/L1), angioinvasion (V0/V1) and grading (G1/G2/G3) were investigated. Increased plasma levels of VEGF (p = 0.036) correlate with the dissemination of tumor cells to regional lymph nodes (N1),whereas serum VEGF-D levels were significantly decreased in women with lymph-node involvement (N1) (p = 0.045) and vascular invasion (L1) (p = 0.019). None of these members of the VEGF family were found to correlate significantly with histological subtype (squamous cell carcinoma, adenocarcinoma, adeno-squamous cell carcinoma) or grading of the tumor cells (G1/G2/G3). Conclusions: These results show that circulating concentrations of VEGF are associated with the stage of disease. In an early stage of cervical cancer a switch to a lymphangiogenic phenotype (VEGF-D, VEGF-C) might be possible. No significant financial relationships to disclose.

Gene Expression Profiles of Breast Cancer Obtained from Core Cut Biopsies Before Neoadjuvant Docetaxel, Adriamycin, and Cyclophoshamide Chemotherapy Correlate with Routine Prognostic Markers and Could Be Used to Identify Predictive Signatures

Neoadjuvant administration of chemotherapy provides a unique opportunity to monitor response to treatment in breast cancer and assesses response exactly. Global gene expression profiling by microarrays has been used as a valuable tool for the identification of prognostic and predictive marker genes. Even though this technology is now wide spread and relatively standardized, there are only few data available which compare established parameters with expression values to determine reliability of this method. Therefore we analyzed gene expression data of pretreatment biopsies of breast cancer patients and compared them with the results of the immunohistochemical receptor expression for ER/ PR and Her-2, as well as FISH testing for HER-2 amplification. We analyzed the change of expression of these markers before and after neoadjuvant chemotherapy. Furthermore we evaluated the predictive significance of prognostic gene signatures as described by Sorlie, van't Veer and Ahr for response to neoadjuvant chemotherapy. Pretherapeutic core biopsies were obtained from 70 patients undergoing neoadjuvant TAC chemotherapy within the GEPARTRIO-trial. Samples were characterized according to standard pathology including ER, PR and HER2 IHC and amount of cancer cells. Only biopsies with more than 80 % tumor cells were considered for further examination. RNA was isolated and expression profiling performed using Affymetrix Hg U133 Arrays (22 500 genes). GeneData's Expressionist software was used for bioinformatic analyses. More than two thirds of the biopsies yielded sufficient amounts (> 5 microg) of RNA for expression profiling and high quality data were obtained for 50 samples. Unsupervised clustering broadly revealed a correlation with hormone receptor status. When ER-alpha, PR and HER2 as analyzed by immunohistochemistry were compared to the corresponding mRNA data from gene chips more than 90 % concordance was observed. We could observe a switch of receptor expression for ER, PR or HER-2 from positive to negative and vice versa in 16/35 cases (45.7 %) and 5/22 cases (22.7 %) respectively. The prognostic marker sets of Sorlie, van't Veer and Ahr could not discriminate responders from non-responders in our patient group. Our results demonstrate that reliable expression profiles can be achieved by using limited amounts of tissue obtained during neoadjuvant chemotherapy. Microarray data capture conventional prognostic markers but might contain additional informative gene sets correlated with treatment outcome. Prognostic marker sets are not suitable to predict tumor response in the neoadjuvant setting, suggesting the necessity of class prediction methods to identify marker sets predictive for the type of therapy used.

Gene expression profiles of breast cancer obtained from core cut biopsies before neoadjuvant docetaxel, doxorubicin, and cyclophosphamide chemotherapy correlate with routine prognostic markers and could be used to identify predictive signatures

646 Background: Neoadjuvant administration of chemotherapy before surgery provides a unique opportunity to directly monitor response to treatment in breast cancer and excactly assess response. Goal of our study was to examine the feasibility of performing gene expression profiling on pretherapeutic material in this setting. This approach can be used to correlate gene expression profiles with response to chemotherapy in order to identify predictive gene signatures to guide the selection of the individual therapy. Methods: Pretherapeutic core biopsies were obtained from 70 patients undergoing neoadjuvant TAC chemotherapy within the GEPARTRIO-trial. Samples were characterized according to standard pathology including ER, PR and HER2 IHC and amount of cancer cells. Only biopsies with more than 80% tumor cells were considered further. RNA was isolated and expression profiling performed using Affymetrix Hg U133 Arrays (22,500 genes). GeneData’s Expressionist software was used for bioinformatic analyses. Results: More than two thirds of the biopsies yielded sufficient amounts (> 5 μg) of RNA for expression profiling and high quality data were obtained for 50 samples. Unsupervised clustering broadly revealed a correlation with hormone receptor status. When ER, PR and HER2 as analyzed by immunohistochemistry were compared to the corresponding mRNA data from gene chips more than 90% concordance was observed. Furthermore, we used several described marker sets from microarray studies to classify patients in groups and evaluate their clinical data. However, no straight correlation with response was observed using these signatures, suggesting the necessity of class prediction methods to identify marker sets predictive for the type of therapy used. Conclusions: Our results demonstrate that reliable expression profiles can be achieved by using limited amounts of tissue obtained during neoadjuvant chemotherapy. Microarray data capture conventional prognostic markers but might contain additional informative gene sets correlated with treatment outcome. Author Disclosure Employment or Leadership Consultant or Advisory Role Stock Ownership Honoraria Research Funding Expert Testimony Other Remuneration Bayer Healthcare AG

“Good Old” clinical markers have similar power in breast cancer prognosis as microarray gene expression profilers

We compared the power of gene expression measurements with that of conventional prognostic markers, i.e., clinical, histopathological, and cell biological parameters, for predicting distant metastases in breast cancer patients using both established prognostic indices (e.g., the Nottingham Prognostic Index (NPI)) and novel combinations of conventional markers. We used publicly available data on 97 patients, and the performance of metastasis prediction was represented by receiver operating characteristic (ROC) areas and Kaplan–Meier plots. The gene expression profiler did not perform noticeably better than indices constructed from the clinical variables, e.g., the well established NPI. When analysing separately subgroups, according to the oestrogen receptor (ER) status both approaches could predict clinical outcome more easily for the ER-positive than for the ER-negative cohort. Given the time it may take before microarray processing is used worldwide, particularly due to the costs and the lack of standards, it is important to pursue research using conventional markers. Our analysis suggests that it might be possible to improve the combination of different conventional prognostic markers into one prognostic index.

Predicting continuous values of prognostic markers in breast cancer from microarray gene expression profiles

The prognostic and treatment-predictive markers currently in use for breast cancer are commonly based on the protein levels of individual genes (e.g., steroid receptors) or aspects of the tumor phenotype, such as histological grade and percentage of cells in the DNA synthesis phase of the cell cycle. Microarrays have previously been used to classify binary classes in breast cancer such as estrogen receptor (ER)-alpha status. To test whether the properties and specific values of conventional prognostic markers are encoded within tumor gene expression profiles, we have analyzed 48 well-characterized primary tumors from lymph node-negative breast cancer patients using 6728-element cDNA microarrays. In the present study, we used artificial neural networks trained with tumor gene expression data to predict the ER protein values on a continuous scale. Furthermore, we determined a gene expression profile-directed threshold for ER protein level to redefine the cutoff between ER-positive and ER-negative classes that may be more biologically relevant. With a similar approach, we studied the prediction of other prognostic parameters such as percentage cells in the S phase of the cell cycle (SPF), histological grade, DNA ploidy status, and progesterone receptor status. Interestingly, there was a consistent reciprocal relationship in expression levels of the genes important for both ER and SPF prediction. This and similar studies may be used to increase our understanding of the biology underlying these markers as well as to improve the currently available prognostic markers for breast cancer.

Caveolin-1 overexpression predicts poor disease-free survival of patients with clinically confined renal cell carcinoma

Renal cell carcinomas, although usually apparently fully resected at surgery, commonly recur as distant metastasis. New markers are needed to predict which patients may relapse especially as novel methods of treatment (e.g. laproscopic resection) may make it impossible to assess conventional pathological prognostic markers. The caveolins are a family of proteins that represent the major structural components of caveolae; recent work suggests that these may have influence on several signalling pathways and they are thus potential prognostic markers. Immunohistochemistry for caveolin-1 was performed on sections of peripheral tumour from 114 consecutative nonmetastatic RCCs. Cytoplasmic caveolin-1 immunohistochemical (ICC) reaction was scored on a semiquantative scale of 1–3. Immunohistochemical score was tested for impact on disease-free survival by Kaplan–Meier and Cox regression methods. A total of 50 tumours had ICC score 1; 43 had score 2 and 21 score 3. Larger, higher grade and tumours with vascular invasion had significantly higher scores. On univariate survival analysis (Kaplan–Meier), patients with tumours scoring 1 had a mean disease-free survival of 6.61 years (95% CI 5.76–7.46) compared with 5.4 years (4.53–6.30) and 3.15 years (1.87–4.44) for scores 2 and 3, respectively. This is a significant difference (P=0.0017 log rank test). On multivariate analysis with size, grade and caveolin ICC score as independent covariates, caveolin ICC score 3 was an influential predictor of poor disease-free survival with a hazard ratio of 2.6 (P=0.03). We conclude that cytoplasmic overexpression of caveolin-1 predicts a poor prognosis in RCC; that this is likely to be a useful prognostic marker and that it may have importance in tumour progression.

American Society for Clinical Oncology 39th Annual Meeting, Chicago, Illinois, USA, 31 May to 3 June 2003: breast cancer neoadjuvant and adjuvant chemotherapy--prognostic and predictive markers.

The annual American Society of Clinical Oncology congress is the largest forum for cancer professionals in the world, promoting new developments in cancer medicine. A wide spectrum of subjects relevant to breast cancer research and treatment was covered in this year's meeting, including chemotherapy in the neoadjuvant and adjuvant settings, molecular and gene profiling studies, and use of more conventional prognostic and predictive markers of outcome. This report discusses some of the highlights in translational and clinical aspects of early breast cancer management presented at the meeting.

Prognostic significance of BRCA1 expression in Japanese sporadic breast carcinomas.

BRCA1 is a tumor suppressor gene that is responsible for hereditary breast and ovarian carcinoma syndrome. The primary objective of the current study was to investigate the influence of BRCA1 expression on the prognoses of sporadic breast carcinomas. A cohort of 175 Japanese women with invasive breast carcinoma who had no family history in first-degree relatives was studied. Expression of BRCA1 was determined by an immunohistochemical procedure in which the MS110 monoclonal antibody was used. Kaplan--Meier and Cox proportional regression survival analyses were used to compare negative and positive BRCA1 patients. One hundred fifteen (65.7%) of the 175 specimens showed positive BRCA1 staining (> 10% cells were immunoreactive). During a median follow-up of 4.4 years, negative BRCA1 patients had worse disease free survival than positive BRCA1 patients (35 % vs. 7%, respectively; P < 0.0001). BRCA1 expression was significantly inversely correlated with histologic grade (P < 0.0001) but not with lymph node status or other conventional prognostic markers. In multivariate analysis using the Cox regression model, positive BRCA1 emerged as an independent prognostic indicator for disease free survival. The results of this study suggest that BRCA1 may be a valuable marker for identifying women with sporadic breast carcinoma at high risk of developing recurrence, and who may be candidates for trials investigating new therapies in combination with standard adjuvant therapy.

Utility of fluorescence in situ hybridization in pancreatic ductal adenocarcinoma.

Often the diagnosis of pancreas cancer needs to be established from limited cytology specimens or small biopsies. Most ductal adenocarcinomas are histologically well to moderately differentiated and mimicked closely by pancreatitis, and therefore the microscopic diagnosis can be difficult. In addition, there appears to be significant heterogeneity in the outcome of the patients with pancreatic cancer, which cannot be predicted accurately by current prognosticators such as the grade and stage of the tumor. Therefore, there is need for methods that can be used as adjuncts to routine diagnostic and prognostic parameters. This study was designed to test the utility of the fluorescent in situ hybridization (FISH) method in identifying the molecular alterations, particularly the ones that have been detected with relatively high frequency in pancreas cancer. Formalin-fixed and paraffin-embedded tissues of 10 cases were enumerated for chromosome 7, 8, 17, 18, and 20 copy numbers by using alpha-satellite probes, and for c-myc by using a gene-specific probe. The number of signals per nucleus (reflecting chromosomal copy number and status of c-myc amplification) were counted in more than two areas containing 50-500 cells. Because of tumor heterogeneity, monosomy (loss of one chromosome copy) was defined arbitrarily as one signal in >25% of nuclei. C-myc amplification was defined as more than two gene copies in >20% of the cells. The most frequent signal losses were found in chromosomes 8 (four of 10 cases) and chromosome 17 (four of 10), followed by 20 (three of 10) and 18 (two of 10). No loss of chromosome 7 was detected. In contrast, gains in chromosome copy number were identified in only one of 10 tumors, which showed gain of both chromosome 7 and 18. Amplification of c-myc gene was detected in two of 10 cases, but neither of the two had aneuploidy for chromosome 8, where the c-myc gene is located. In addition, loss in c-myc signal was observed in one case that also showed loss of chromosome 8 copy number. FISH can be used to detect chromosomal changes in pancreatic cancer; abundance of lytic enzymes in this organ is not an impediment for the applicability of this technique. Therefore it can potentially be used in the future as an adjunct to the conventional diagnostic and prognostic markers. This study confirms that loss of chromosomes, particularly chromosomes 17 and 18, which carry the p53 and DCC genes, are common in pancreas cancer. Chromosome 20 is also frequently lost. In addition, in this study, alterations of chromosome 8, which is seen commonly in prostatic adenocarcinoma but has not been previously documented in pancreatic cancer, also was detected in five of 10 tumors. Furthermore, amplification of the c-myc gene, which is located in chromosome 8, was found in the two of the remaining five cases. Further studies are needed to confirm this high incidence of chromosome 8 and c-myc alterations and their possible role in the pathogenesis of pancreatic adenocarcinoma.

Neural network analysis of combined conventional and experimental prognostic markers in prostate cancer: a pilot study.

Prostate cancer is the second most common malignancy in men in the UK. The disease is unpredictable in its behaviour and, at present, no single investigative method allows clinicians to differentiate between tumours that will progress and those that will remain quiescent. There is an increasing need for novel means to predict prognosis and outcome of the disease. The aim of this study was to assess the value of artificial neural networks in predicting outcome in prostate cancer in comparison with statistical methods, using a combination of conventional and experimental biological markers. Forty-one patients with different stages and grades of prostate cancer undergoing a variety of treatments were analysed. Artificial neural networks were used as follows: eight input neurons consisting of six conventional factors (age, stage, bone scan findings, grade, serum PSA, treatment) and two experimental markers (immunostaining for bcl-2 and p53, which are both apoptosis-regulating genes). Twenty-one patients were used for training and 20 for testing. A total of 80% of the patients were correctly classified regarding outcome using the combination of factors. When both bcl-2 and p53 immunoreactivity were excluded from the analysis, correct prediction of the outcome was achieved in only 60% of the patients (P = 0.0032). This study was able to demonstrate the value of artificial neural networks in the analysis of prognostic markers in prostate cancer. In addition, the potential for using this technology to evaluate novel markers is highlighted. Further large-scale analyses are required to incorporate this methodology into routine clinical practice.

The chromatin pattern of cell nuclei is of prognostic value for renal cell carcinomas.

Using a series of 105 renal cell carcinomas (RCCs) we investigated whether features quantitatively describing the appearance of Feulgen‐stained nuclei and, more particularly, of their chromatin (on the basis of computer‐assisted microscopy) can contribute any significant prognostic information. Thirty morphonuclear and 8 nuclear DNA content‐related variables were thus generated. The actual prognostic values of this set of cytometric variables was compared (by means of discriminant statistical analysis) to conventional diagnostic and/or prognostic markers including histopathological grades, tumour invasion levels and the presence or absence of metastases. We obtained complete clinical follow‐ups for 49 of the 105 RCC patients under study, making it possible to define a subset of patients with a bad prognosis (i.e., who died in the 12 months following nephrectomy) and a subset of patients with a good prognosis (i.e., who survived at least 24 months following nephrectomy). An original method of data analysis related to artificial intelligence (decision tree induction) enabled a strong prognostic model to be set up. In the case of 10 new patients, this model identified all the dead patients as having a bad survival status, with a total of 8 correct predictions. Another prognostic model similarly generated enabled the correct predictions to be confirmed.

Expression of the p53 protein in malignant melanomas as a prognostic indicator.

It is currently widely accepted that the tumour suppressor gene p53 is critically involved in the proliferation and differentiation of tumour cells including melanoma cells. In the present study, we examined 60 cases of primary melanoma to compare the expression of p53 protein with conventional prognostic markers for melanoma such as clinical and histological parameters. No correlation was found between the p53 protein and clinical factors except for the presence of a metastatic node and development to clinical stage II. However, the expression of p53 protein was significantly associated with tumour thickness over 1.5 mm, levels IV and V of invasion, the presence of ulceration, and high mitotic rate for 5-year survival rate. Although many questions still remain to be answered, our results and those of others for various other malignant tumours, implicate p53 in malignant transformation of pigment cells. Indeed, it could be a new marker for an unfavourable prognosis of malignant melanoma, even though the gene mutation in this highly lethal tumour has yet to be established.