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PubMed2006

Molecular architecture of the DNA-binding region and its relationship to classification of basic helix-loop-helix proteins.

Multivariate statistical analyses are used to explore the molecular architecture of the DNA-binding and dimerization regions of basic helix-loop-helix (bHLH) proteins. Alphabetic amino acid data are transformed to biologically meaningful quantitative values using a set of 5 multivariate "indices." These multivariate indices summarize variation in a large suite of amino acid physiochemical attributes and reflect variability in polarity-accessibility-hydrophobicity, propensity for secondary structure, molecular size, codon composition, and electrostatic charge. Using these index score data, discriminant analyses describe the multidimensional aspects of physiochemical variation and clarify the structural basis of the prevailing evolutionary classification of bHLH proteins. A small number of amino acids from both the binding dimerization domains, when considered simultaneously, accurately distinguish the 5 known DNA-binding groups. The relevant sites often have well-documented structural and functional characteristics.

Animals↗

PubMed2001

Persistence of the effects of Jet-A in a microcosm with releases from the sediment.

This study investigates both the methods and the multispecies and functional level effects of a release of a complex hydrocarbon mixture from sediments using a 60-d modified mixed flask culture (MFC) microcosm. Neat Jet-A was injected and mixed into the sediment with one nondosed and three dosed concentrations. Univariate and multivariate statistical and graphical techniques were used to detect patterns in the data. A slow release of the test material from the spiked sediment layer was obtained, and constituents of Jet-A were detected. Functional parameters (such as pH) were generally better at determining treatment groups than structural parameters (population densities). Analysis of the ability of the various parameters to detect treatment differences confirms that there is not one best indicator for the status of an ecological structure. Transient but statistically significant outcomes were seen at initial treatment concentrations as low as 2 microl/L. The higher concentration treatment groups could be identified as distinguished from nondosed or lower treatments at the end of the 63-d experiment. Each of the three multivariate techniques differed in their ability to distinguish treatment groups during the course of the experiment.

Animals↗

PubMed2003

Artifact evidence in carbonyl compound sampling using the enclosure technique with cuvette system.

Biogenic hydrocarbon emission rates from individual plant species have been estimated experimentally placing small plants or branches in enclosures and measuring the emission rates of the compounds. All-Teflon chambers (cuvettes) where air samples are drawn through tubes packed with adsorbents, have been commonly used for plant enclosure. Sampling of carbonyl compounds emitted from plants has been done using 2,4-dinitrophenylhydrazine coated particles and the derivative carbonyl compounds have been analyzed by HPLC-UV. In this work, the enclosure technique using a cuvette for measurements of carbonyl compound emissions from plants was evaluated. Blank measurements in an empty cuvette have revealed quite different results for experiments performed under laboratory and field conditions. Rigorous univariate statistical analysis of the data obtained indicate that the analytical procedure to determine carbonyl compounds at trace levels in emission samples using the cuvette may lead to positive artifacts during field sampling. This analysis applied to laboratory measurements showed no difference in the results for the cuvette and external lines. Multivariate statistical calculations point out that solar light intensity accounts for the high carbonyl compound levels, especially for acetaldehyde, in the empty cuvette.

Adsorption↗

PubMed1998

Relationships between the synthesis of N-nitrosodimethylamine and immune responses to chronic infection with the carcinogenic parasite, Opisthorchis viverrini, in men.

This study investigated the relationship between immune responses to infection with the liver fluke, Opisthorchis viverrini, and the synthesis of the carcinogen, N-nitrosodimethylamine (NDMA) in humans. It also examined associations between synthesis of nitric oxide (NO) and nitrosation of amines, in vivo. Antibody and T cell responses to fluke antigens and post-alcohol urinary NDMA excretion were assessed among three groups of 40-50 men with no, moderate and heavy liver fluke infection. Markers of NO synthesis (nitrate, nitrite) and nitrosation (nitrosamino acids) were also measured in biological fluids. Assessments were carried out under controlled conditions which minimised intake of exogenous nitrate and nitrite and were carried out at two time points, namely before and 4 months after elimination of the infection with praziquantel treatment. No statistically significant variation was observed in the amount of NDMA excreted between the 3 groups. However, during active infection, a strong negative association was observed between in vitro lymphoproliferative responses to some liver fluke antigens and NDMA excretion. After treatment this association was reduced. Multivariate statistical models revealed a highly significant relationship between NDMA levels and urinary nitrate, stimulation indices for two T cell responses to two parasite antigens (MW 37 kDa and 110 kDa) and gall bladder dimensions. NDMA levels after treatment were best described by the ratio between parasite-specific IgG2 and IgE, background levels of T cell proliferation, a urinary marker of nitrosation (N-nitrosothioproline) and usual level of alcohol consumption. These results suggest that individual background immunologic activity, parasite-specific responses and/or parasite products and NO synthesis are important determinants of endogenous generation of nitrosamines in O. viverrini-infected humans.

Adult↗

PubMed2000

Analysis of postural sway using entropy measures of signal complexity.

A stochastic complexity analysis is applied to centre-of-pressure (COP) time series, by using different complexity features, namely the spectral entropy, the approximate entropy, and the singular value decomposition spectrum entropy. A principal component analysis allows an estimate of the overall signal complexity in terms of the ensemble complexity score; the difference in values between open-eyes (OE) and closed-eyes (CE) trials is used for clustering purposes. In experiments on healthy young adults, the complexity of the mediolateral component is shown not to depend on the manipulation of vision. Conversely, the increase of the anteroposterior complexity in OE conditions can be statistically significant, leading to a functional division of the subjects into two groups: the Romberg ratios (RRs), namely the ratios of the CE measure to the OE measure, are: RR = 1.19 +/- 0.15 (group 1 subjects), and RR = 1.05 +/- 0.14 (group 2 subjects). Multivariate statistical techniques are applied to the complexity features and the parameters of a postural sway model recently proposed; the results suggest that the complexity change is the sign of information-generating behaviours of postural fluctuations, in the presence of a control strategy which aims at loosening long-range correlation and decreasing stochastic activity when visual feedback is allowed.

Adult↗

PubMed2000

The Use of Cluster Analysis in Distinguishing Farmland Prone to Residential Development: A Case Study of Sterling, Massachusetts.

/ Residential development of farmland is one of the primary driving forces of land degradation in both rural and urban fringe areas throughout the world. The loss of prime agricultural land is of great concern to planning offices and organizations seeking to preserve open space. The objective of this study is to demonstrate the use of clusteranalysis as a possible tool for the identification of farms prone to residential development. Eighty-four farms in Sterling, Massachusetts, were separated into two groups by k-means nonhierarchical cluster analysis using farm size, slope, and distance to the nearest city center and highway as surrogates of farmland conversion. Discriminant analysis showed that the two groups derived from the cluster analysis were 98.8% accurate (P < 0.0000). Results from the statistical analysis may serve as a starting point for the identification of individual farms prone to residential development. To explain the driving forces of farmland conversion to residential uses, interviews should be conducted with farmers, landowners, and land buyers. The use of multivariate statistical techniques to identify farms in jeopardy of residential development, in conjunction with qualitative assessments that explain the probability of development of individual farms, may prove a useful strategy to understand and predict farmland conversion.

Journal Article↗

PubMedDate not supplied

Tensor biometrics for changes in cranial shape.

D'Arcy Thompson's method of Cartesian transformations can be adapted to the biometric study of group differences and trends in shape. The key to this extension is the symmetric tensor, a mathematical representation of the linear deformation taking one triangle onto another. These tensors may easily be computed from data that come in the form of Cartesian coordinates of homologous landmarks, such as are customary in roentgenographic cephalometrics. This article shows how the tensors make possible the rigorous statistical analysis of populations of shapes without requiring the specification of particular shape measures in advance. Instead, the findings of a study include the extraction of particular shape measures most clearly manifesting the group difference or treatment effect under study. Only conventional multivariate statistical techniques, such as Hotelling's T2, are involved. Configurations of many landmarks can be analysed via the display of their mean difference as a biorthogonal grid pair, perusal of which leads to the selection of triangles of landmarks for more rigorous analysis. The techniques are exemplified in two cephalometric studies: the description and prediction of normal craniofacial growth, and a comparison of the craniofacial deformities associated with Apert's and Crouzon's syndromes.

Biometry↗

PubMed2005

Methods for quantifying the informational structure of sensory and motor data.

Embodied agents (organisms and robots) are situated in specific environments sampled by their sensors and within which they carry out motor activity. Their control architectures or nervous systems attend to and process streams of sensory stimulation, and ultimately generate sequences of motor actions, which in turn affect the selection of information. Thus, sensory input and motor activity are continuously and dynamically coupled with the surrounding environment. In this article, we propose that the ability of embodied agents to actively structure their sensory input and to generate statistical regularities represents a major functional rationale for the dynamic coupling between sensory and motor systems. Statistical regularities in the multimodal sensory data relayed to the brain are critical for enabling appropriate developmental processes, perceptual categorization, adaptation, and learning. To characterize the informational structure of sensory and motor data, we introduce and illustrate a set of univariate and multivariate statistical measures (available in an accompanying Matlab toolbox). We show how such measures can be used to quantify the information structure in sensory and motor channels of a robot capable of saliency-based attentional behavior, and discuss their potential importance for understanding sensorimotor coordination in organisms and for robot design.

Animals↗

PubMed2004

[Is there a link between continuous quality improvement programs and health service users' satisfaction with prenatal care? An experience in Peruvian hospitals].

OBJECTIVES: 1. To compare the level of health service user satisfaction (US) with antenatal care in hospitals where a program of continuous quality improvement (CQI) was implemented, in comparison to a reference group of patients seen at hospitals that did not participate in the program. 2. To compare the reasons for dissatisfaction in both groups of users. 3. To identify the factors associated with US. METHODS: A quasi-experimental study of a representative sample of pregnant women attending prenatal care services. The women in the intervention group (n = 191) and the reference group (n = 185) were interviewed on leaving the prenatal care clinic. The dependent variable was satisfaction with prenatal care, and the independent variables were satisfaction of expectations, amiability, level of health information, perception of the equipment, waiting time, cleanliness and comfort. Descriptive and multivariate statistics were calculated. RESULTS: The intervention group showed higher rates of US (67.5% versus 55.1% in the reference group, P = 0.014). The main reasons for dissatisfaction were long waiting times and discourteous treatment, which were more frequent in the reference group. The multivariate analysis identified cordiality of the health professionals, information provided during the visit, satisfaction of expectations and implementation of the CQI program as the factors that were significantly associated with US. CONCLUSIONS: Our findings show that the CQI program in maternal and perinatal health services was positively associated with US. These results reinforce the need for cordiality during prenatal care contacts with providers, and the need to provide appropriate information to the user, in order to help increase acceptability of and adhesion to health care recommendations among pregnant women.

Adult↗

PubMed1982

Interactions of 2-ppm lead in the water supply with food deprivation upon maze-swimming behavior of mice.

Mice that had been given either tap water or 2 ppm lead in their drinking water and either severely food deprived (3 days before testing) or allowed food ad libitum demonstrated significant interactions of lead treatment by day by food condition and lead by block. Although not statistically significant, the food deprived-lead treated mice displayed more errors and longer latencies than the ad libitum-water controls. The food deprived-water controls and ad libitum-lead-treated mice displayed intermediate values. The importance of using multivariate statistical techniques that can evaluate dynamic repeated behavioral measurements is emphasized.

Animals↗

PubMed1989

A bootstrap analysis of four in vitro short-term test performances.

The present analysis is aimed at estimating the confidence intervals of a number of association measures that describe the relationships of 4 in vitro short-term tests with rodent carcinogenicity, as well as with each other. The measures considered were: sensitivity, specificity and accuracy of the short-term tests with respect to chemical carcinogens, and performance dissimilarity indices (Hamming distances). The analysis refers to Salmonella, mouse lymphoma L5178Y cell mutation, chromosomal aberrations and sister-chromatid exchanges in Chinese hamster ovary cells, and is based on the data generated in the frame of the U.S. National Toxicology Program (NTP). It exploits the properties of a statistical technique, called bootstrap, to derive from only one sample of chemicals the variability intervals of the associations that the biological systems (mutagenicity assays and rodent carcinogenicity) would show in the 'universe' of the chemical compounds. The combination of the bootstrap technique with multivariate statistical methods pointed to a remarkable robustness and reliability of the information derived from the NTP data base, and provided descriptive insights into the data.

Animals↗

PubMed2006

GIS, geostatistics, metadata banking, and tree-based models for data analysis and mapping in environmental monitoring and epidemiology.

By the example of environmental monitoring, some applications of geographic information systems (GIS), geostatistics, metadata banking, and Classification and Regression Trees (CART) are presented. These tools are recommended for mapping statistically estimated hot spots of vectors and pathogens. GIS were introduced as tools for spatially modelling the real world. The modelling can be done by mapping objects according to the spatial information content of data. Additionally, this can be supported by geostatistical and multivariate statistical modelling. This is demonstrated by the example of modelling marine habitats of benthic communities and of terrestrial ecoregions. Such ecoregionalisations may be used to predict phenomena based on the statistical relation between measurements of an interesting phenomenon such as, e.g., the incidence of medically relevant species and correlated characteristics of the ecoregions. The combination of meteorological data and data on plant phenology can enhance the spatial resolution of the information on climate change. To this end, meteorological and phenological data have to be correlated. To enable this, both data sets which are from disparate monitoring networks have to be spatially connected by means of geostatistical estimation. This is demonstrated by the example of transformation of site-specific data on plant phenology into surface data. The analysis allows for spatial comparison of the phenology during the two periods 1961-1990 and 1991-2002 covering whole Germany. The changes in both plant phenology and air temperature were proved to be statistically significant. Thus, they can be combined by GIS overlay technique to enhance the spatial resolution of the information on the climate change and use them for the prediction of vector incidences at the regional scale. The localisation of such risk hot spots can be done by geometrically merging surface data on promoting factors. This is demonstrated by the example of the transfer of heavy metals through soils. The predicted hot spots of heavy metal transfer can be validated empirically by measurement data which can be inquired by a metadata base linked with a geographic information system. A corresponding strategy for the detection of vector hot spots in medical epidemiology is recommended. Data on incidences and habitats of the Anophelinae in the marsh regions of Lower Saxony (Germany) were used to calculate a habitat model by CART, which together with climate data and data on ecoregions can be further used for the prediction of habitats of medically relevant vector species. In the future, this approach should be supported by an internet-based information system consisting of three components: metadata questionnaire, metadata base, and GIS to link metadata, surface data, and measurement data on incidences and habitats of medically relevant species and related data on climate, phenology, and ecoregional characteristic conditions.

Databases, Factual↗

PubMed2002

Morphometric and genetic variability of Rodentolepis asymmetrica (Hymenolepididae) from the Pyrenean mountains.

Rodentolepis asymmetrica (Janicki, 1904), is a common hymenolepidid cestode recorded in several vole species (rodents) in the Palearctic. Here, we report a detailed analysis of this species, which includes metrical features and multilocus enzyme electrophoresis. Worms isolated from 4 species of arvicolid hosts in 3 localities in Spain and France from 1994 to 1997 were studied. All the worms used in the morphological study ranged between I and 5 individuals per host. Furthermore, all individuals were analyzed electrophoretically. Statistical analysis of metrical features in scolex, sexual segments, and eggs was carried out, and significant differences were detected only in sexual structures of mature segments. These differences were found in worms from each host species in different localities and in the same host species in 2 localities. Multivariate statistical analysis shows correct classification of worms in all cases. Surprisingly, we observed a lack of genetic variability at the 11 enzymatic loci analyzed, which could be explained by 2 nonexclusive hypotheses: (1) a preferential selfing mode of reproduction for these parasites, and (2) a weak effective size of parasite populations.

Animals↗

PubMedDate not supplied

Calcium use increases risk of calciphylaxis: a case-control study.

OBJECTIVE: To investigate the risk factors for the development of calciphylaxis in renal failure, a poorly understood and often fatal condition characterized by calcium deposition in tissues. DESIGN: Retrospective case-control study. SETTING: University hospital peritoneal dialysis center. PATIENTS: Eight continuous ambulatory peritoneal dialysis (CAPD) patients with calciphylaxis were identified in a 3-year period. We matched up to five controls for dialysis modality and length of time on dialysis with each case. STATISTICS: Multivariate conditional logistic regression analysis for matched case-controls. MAIN OUTCOME MEASURES: Laboratory data and demographics were collected as well as cumulative calcium and vitamin D ingestion over the year prior to disease onset. RESULTS: All the patients were female, versus only 38% (14/37) of controls (p < 0.0001). While not statistically significant, a majority of the patients were diabetic [62.5% (5/8) vs 32% (12/37)]. Peak and average levels of serum calcium, phosphate, calcium x phosphate product, parathyroid hormone (PTH), albumin, iron, total iron-binding capacity (TIBC), and ferritin were not significantly different in cases compared with controls. The use of calcitriol alone or with calcium carbonate was not found to be a significant risk factor for the development of calciphylaxis. In a multivariate analysis, iron intake seemed to be protective, contrary to previous reports, while the use of calcium carbonate was associated with a strong trend to increased risk of calciphylaxis development (odds ratio = 1.029/g and 1.011/g calcium ingested per month, at 1 and 2 - 3 months prior to calciphylaxis development; p = 0.0556 and 0.0565, respectively). CONCLUSION: These data, although limited by the small numbers of index cases, suggest that calcium ingestion is a risk factor for calciphylaxis. The increased use of calcium salts as a phosphate binder in recent years might explain the apparent increased incidence of calciphylaxis in our and other centers. The preponderance of female diabetics among cases reported elsewhere was confirmed in our study.

Calciphylaxis↗

PubMed2001

Data preprocessing and partial least squares regression analysis for reagentless determination of hemoglobin concentrations using conventional and total transmission spectroscopy.

Visible-near infrared spectroscopy was successfully used for the determination of total hemoglobin concentration in whole blood. Absorption spectra of whole blood samples, whose hemoglobin concentrations ranged between 6.6 and 17.2 g/dL, were measured from 500 to 800 nm. Two different types of transmission were measured: conventional transmission spectroscopy which collected primarily collimated radiation transmitted through the sample, and total transmission spectroscopy which used an integrating sphere to collect all scattered light as well. Different preprocessing techniques in conjunction with a partial least squares regression calibration model to predict hemoglobin concentrations were applied to the above two types of transmission. Depending on different preprocessing methods, the standard error of predictions ranged from 0.37 to 2.67 g/dL. Mean centering gave the most accurate prediction in our particular data set. Preprocessing methods designed for compensation of the scattering effect produced the worst results contrary to expectations. For univariate analysis, better prediction was achieved by total transmission measurement than by conventional transmission measurement. No significant difference was observed for multivariate analysis on the other hand. Careful selection of the data preprocessing methods and of the multivariate statistical model is required for reagentless determination of hemoglobin concentration in whole blood.

Hemoglobins↗

PubMed2001

Cervical dysplasia in women infected with the human immunodeficiency virus (HIV): a correlation with HIV viral load and CD4+ count.

OBJECTIVES: The incidence of cervical dysplasia and carcinoma is known to be increased in HIV-infected women. In addition, there is a positive correlation between HIV viral load (VL), CD4+ count, and opportunistic infections, as well as the incidence of various malignancies. This study compares HIV VL and CD4+ count with the presence of cervical dysplasia, as well as with the degree of severity of dysplasia. METHODS: A retrospective chart review of 350 HIV-infected women with polymerase chain reaction (PCR) quantitation of viral load was performed to identify 82 women with biopsy-proven cervical dysplasia and 25 women without any significant cervical pathology. The highest plasma VL within a year of the patients' cervical pathology and corresponding CD4+ count was selected and compared with cervical pathology. Univariate and multivariate statistical analysis using Student's t test and logistic regression analysis was used to analyze the significance of other risk factors such as age, race, smoking history, history of illicit drug use, and prior sexually transmitted disease as well as of viral load and CD4+ count. RESULTS: Of 82 cases of cervical dysplasia, 33 (40.24%) were mild (CIN I), 47 (57.32%) were either moderate or severe (CIN II-III) dysplasia, and 2 demonstrated invasive squamous cell carcinoma (2.44%). A significant statistical difference was found when comparing either HIV plasma VL or CD4+ T-cell counts with the presence of cervical dysplasia on biopsy (P < 0.005). However, only CD4+ count was identified as an independent risk factor for the presence of cervical dysplasia after multivariate analysis. CONCLUSION: In our population, there is a significant correlation between VL and CD4+ count and the presence of cervical dysplasia. However, VL does not appear to be an independent risk factor for cervical dysplasia in this population of HIV-infected women.

Adolescent↗

PubMed2002

Calculated fast-growing benign prostatic hyperplasia--a risk factor for developing clinical prostate cancer.

OBJECTIVE: Whether there is an association between the development of benign prostatic hyperplasia (BPH) and clinical prostate cancer is controversial. The present report tests the hypothesis of an association between BPH growth and the development of clinical prostate cancer by examining stage, grade and PSA-level in men with recently discovered clinical prostate cancer with slow or fast-growing BPH. If the hypothesis is true, men with fast-growing BPH would have a more advanced clinical prostate cancer. MATERIAL AND METHODS: Two hundred and twenty patients in whom a clinical prostate cancer was diagnosed were consecutively included. The prevalence of atherosclerotic disease, non-insulin-dependent diabetes mellitus (NIDDM) or treated hypertension was provided by the respective patient's medical history. Tallness, body weight, waist measurement, hip measurement and blood pressure were determined. The body mass index (BMI) and waist/hip ratio (WHR) were calculated. Blood samples were drawn to determine triglycerides, total cholesterol, HDL-cholesterol, LDL-cholesterol, uric acid, ALAT and the fasting plasma insulin level. The prostate gland volume was measured using transrectal ultrasound. The annual BPH growth rate was calculated, assuming that the total prostate gland volume was 20 mL at the patient age of forty. The prostate cancer diagnosis was established using the technique of transrectal ultrasound-guided automatic needle biopsy of the prostate. RESULTS: Men with clinical prostate cancer, PSA <50 ng/mL, and with fast-growing BPH had a higher systolic (p = 0.009) and diastolic (p = 0.020) blood pressure, were taller (p < 0.001) and more obese, as determined by body weight (p < 0.001), BMI (p = 0.005), waist measurement (p < 0.001) and hip measurement (p = 0.003). They also had a higher fasting plasma insulin level (p = 0.014) and a lower HDL-cholesterol level (p = 0.067) than men with slow-growing BPH. Moreover, men with clinical prostate cancer, PSA <50 ng/mL, and fast-growing BPH had more pronounced clinical prostate cancer, as measured by grade (p = 0.029) and PSA-level (p = 0.016), than men with slow-growing BPH. In the total material, including men with clinical prostate cancer, PSA >/=50 ng/mL, men with fast-growing BPH also had a higher prevalence of NIDDM (p = 0.039) and a borderline statistical significance for higher stage (p = 0.09) than men with slow-growing BPH. The BPH growth rate was significantly associated with the clinical prostate cancer grade (p = 0.018) and PSA-level (p = 0.002) but not with the clinical cancer stage in a multivariate statistical analysis. CONCLUSIONS: This report confirms findings in previous studies that fast-growing BPH is a risk factor for NIDDM, hypertension, tallness, obesity, dyslipidaemia and hyperinsulinaemia. The present report extends this list of risk factors to include atherosclerotic disease manifestations, hyperuricaemia and higher ALAT levels. The study suggests that fast-growing BPH is a risk factor for developing clinical prostate cancer and, thus, supports the hypothesis of an association between the development of BPH and clinical prostate cancer. The study generates the hypothesis that clinical prostate cancer is a component of the metabolic syndrome and that insulin is a promoter of clinical prostate cancer.

Age Distribution↗

PubMed1998

Disease stage prognostic indices in the early clinical screening of colorectal cancer patients.

It is a truism to state that in cancer the extent to which the disease has spread (stage) is probably the most important factor determining patient prognosis and must be given prime consideration in evaluating and comparing different therapeutic regimes. Because of this, clinical screening tests (such as a rectal exam proctoscopy and colonoscopy), if tissue that is not normal is found, should include analyses contributing to the patient disease stage classification. However, the difficulty involved in this, principally due to the absence of reliable early prognostic indices of the disease stage, makes the cancer patients' treatment full of problems and risks. By a retrospective statistical study on pre-surgery peripheral blood immunological parameters of our groups of colorectal cancer patients and healthy subjects, we evaluated our previously suggested possibility of defining stage prognostic indices by parameter blood range values, evaluating their ability in the stage classification compared to the pTNM method. We have investigated the serum levels of various cytokines and cytokine receptors, leukocyte surface markers, peripheral blood mononuclear cell (PBMC) cytokine production and PBMC proliferative response. Statistically significant correlations between a variety of these immunological parameters and the disease stage were found, but as a clinical patient screening of all parameters is quite expensive, to identify the greatest stage weighting parameter and the respective blood range values, we performed a multivariate statistical analysis. We found that the blood ranges of IL-4 serum level and the PBMC proliferative response to anti-CD3 monoclonal antibody (mCD3) stimulus may be reliable prognostic indices which may contribute to an early disease stage classification in colorectal cancer patients, since they seem to be valid as the pTNM method. Moreover, as the immunological prognostic indices could be a useful tool to evaluate the patient immune response, they may also improve the definition of the patient's stage classification for the selection of treatment and restaging procedures for the evaluation of the treatment benefit and recurrent disease.

Adult↗