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Multivariate Statistical Methods (multivariate + statistical_methods)
Selected AbstractsLake depth rather than fish planktivory determines cladoceran community structure in Faroese lakes , evidence from contemporary data and sedimentsFRESHWATER BIOLOGY, Issue 11 2006SUSANNE LILDAL AMSINCK Summary 1. This study describes the environmental conditions and cladoceran community structure of 29 Faroese lakes with special focus on elucidating the impact of fish planktivory. In addition, long-term changes in biological structure of the Faroese Lake Heygsvatn are investigated. 2. Present-day species richness and community structure of cladocerans were identified from pelagial snapshot samples and from samples of surface sediment (0,1 cm). Multivariate statistical methods were applied to explore cladoceran species distribution relative to measured environmental variables. For Lake Heygsvatn, lake development was inferred by cladoceran-based paleolimnological investigations of a 14C-dated sediment core covering the last ca 5700 years. 3. The 29 study lakes were overall shallow, small-sized, oligotrophic and dominated by brown trout (Salmo trutta). Cladoceran species richness was overall higher in the surface sediment samples than in the snapshot samples. 4. Fish abundance was found to be of only minor importance in shaping cladoceran community and body size structure, presumably because of predominance of the less efficient zooplanktivore brown trout. 5. Canonical correspondence analysis showed maximum lake depth (Zmax) to be the only significant variable in explaining the sedimentary cladoceran species (18 cladoceran taxa, two pelagic, 16 benthic) distribution. Multivariate regression trees revealed benthic taxa to dominate in lakes with Zmax < 4.8 m and pelagic taxa to dominate when Zmax was > 4.8 m. 6. Predictive models to infer Zmax were developed using variance weighted-averaging procedures. These were subsequently applied to subfossil cladoceran assemblages identified from a 14C-dated sediment core from Lake Heygsvatn and showed inferred Zmax to correspond well to the present-day lake depth. A recent increase in inferred Zmax may, however, be an artefact induced by, for instance, eutrophication. [source] A Three-Dimensional Quanititative Structure-Activity Relationship (3D-QSAR) Model for Predicting the Enantioselectivity of Candida antarctica Lipase BADVANCED SYNTHESIS & CATALYSIS (PREVIOUSLY: JOURNAL FUER PRAKTISCHE CHEMIE), Issue 9 2009Paolo Braiuca Abstract Computational techniques involving molecular modeling coupled with multivariate statistical analysis were used to evaluate and predict quantitatively the enantioselectivity of lipase B from Candida antarctica (CALB). In order to allow the mathematical and statistical processing of the experimental data largely available in the literature (namely enantiomeric ratio E), a novel class of GRID-based molecular descriptors was developed (differential molecular interaction fields or DMIFs). These descriptors proved to be efficient in providing the structural information needed for computing the regression model. Multivariate statistical methods based on PLS (partial least square , projection to latent structures), were used for the analysis of data available from the literature and for the construction of the first three-dimensional quanititative structure-activity relationship (3D-QSAR) model able to predict the enantioselectivity of CALB. Our results indicate that the model is statistically robust and predictive. [source] Evaluation of statistical protocols for quality control of ecosystem carbon dioxide fluxesJOURNAL OF THE ROYAL STATISTICAL SOCIETY: SERIES A (STATISTICS IN SOCIETY), Issue 1 2007Jorge F. Perez-Quezada Summary., The process of quality control of micrometeorological and carbon dioxide (CO2) flux data can be subjective and may lack repeatability, which would undermine the results of many studies. Multivariate statistical methods and time series analysis were used together and independently to detect and replace outliers in CO2 flux data derived from a Bowen ratio energy balance system. The results were compared with those produced by five experts who applied the current and potentially subjective protocol. All protocols were tested on the same set of three 5-day periods, when measurements were conducted in an abandoned agricultural field. The concordance of the protocols was evaluated by using the experts' opinion (mean ± 1.96 standard deviations) as a reference interval (the Bland,Altman method). Analysing the 15 days together, the statistical protocol that combined multivariate distance, multiple linear regression and time series analysis showed a concordance of 93% on a 20-min flux basis and 87% on a daily basis (only 2 days fell outside the reference interval), and the overall flux differed only by 1.7% (3.2 g CO2 m,2). An automated version of this or a similar statistical protocol could be used as a standard way of filling gaps and processing data from Bowen ratio energy balance and other techniques (e.g. eddy covariance). This would enforce objectivity in comparisons of CO2 flux data that are generated by different research groups and streamline the protocols for quality control. [source] Are release recommendations for NGRI acquittees informed by relevant data?BEHAVIORAL SCIENCES & THE LAW, Issue 1 2007Gina M. Manguno-Mire Ph.D. We conducted a retrospective review of factors involved in clinical recommendations for release of patients adjudicated not guilty by reason of insanity (NGRI). Medical records from 91 patients in a maximum security forensic hospital who participated in a formal hearing process to determine suitability for release were reviewed. The purpose of the study was twofold: (1) to examine the process involved in day to day clinical decision-making regarding release from a maximum security forensic hospital and (2) to determine what factors in a patient's clinical and legal history were related to recommendation decisions. Multivariate statistical methods revealed that among the clinical, demographic, and legal information available to clinicians at the time a formal release recommendation was made two factors emerged that were significantly related to release recommendations: PCL-R score and the age at which the patient committed his first criminal offense. Patients with high levels of psychopathy and those who engaged in criminal behavior at a younger age were less likely to be recommended for release from a maximum security forensic hospital. Copyright © 2007 John Wiley & Sons, Ltd. [source] Evaluation of malignant and benign gastric biopsy specimens by mRNA expression profile and multivariate statistical methodsCYTOMETRY, Issue 5 2007Orsolya Galamb Abstract Background: mRNA expression array and multivariate statistical analysis of gastric biopsies can yield insight into the molecular biology basis of local alterations, supporting expression-based identification of morphological alterations. Methods: From 11 patients with erosive gastritis(EG), 5 with adenocarcinoma (GC), 11 with atrophic gastritis (AG) gastric biopsies were collected, total RNA isolated, T7 amplification and expression analysis of 1047 mRNAs was performed using commercial glass arrays (Clontech, USA). After microarray quality control, applicable data were available from 7 EG, 4 GC, and 5 AG. Multivariate statistical and cell functional analysis were performed. Real-time RT-PCR and immunohistochemistry were used for validation. Results: GC was characterized by overregulated v-raf, v-erb-a, BCL2-associated- athanogene, immediate-early-response-3, Polo-like kinase, CDK-2, cyclin-C, Pin1 genes, and downregulated ADP-ribosyltransferase, sialophorin and DCC. AG cases had increased PDGF-receptor, TGF-,-receptor-3, and decreased death-associated-protein-3, ,-1-catenin, topoisomerase-1 levels. In EG upregulation of IGF-receptor-1, CD9, transferrin receptor, integrins, and underexpression of keratin-5, caspase-4 was found. Discriminant analysis could reclassify all samples correctly using four parameters. Conclusions: mRNA expression array analysis of gastric biopsies yields previously known and new data in the evaluation of local gastric alterations. © 2007 Clinical Cytometry Society [source] Are there empirically supported and clinically useful subtypes of alcohol dependence?ADDICTION, Issue 2006Victor M. Hesselbrock ABSTRACT Aims This paper provides an overview of several multidimensional empirically derived typologies of alcohol use disorders that have been derived primarily for research purposes in relation to their clinical utility. Methods Studies using multivariate statistical methods for identifying homogeneous groups of subjects were selected for inclusion. Theoretically based typologies were not included in this review. Results While formal diagnostic criteria typically identify separate categories of alcohol abuse and dependence, several studies using different statistical methods consistently suggest as many as four homogeneous types of alcoholism: a chronic/severe type, a depressed/anxious type, a mildly affected type and an antisocial type. Conclusions Even though the longitudinal outcomes of few empirically derived subtypes have been examined, alcoholism typologies remain a viable and potentially valuable tool for investigating etiological pathways, the effectiveness of treatments and the long-term course of alcohol use disorders. [source] Chaotic analysis of predictability versus knowledge discovery techniques: case study of the Polish stock marketEXPERT SYSTEMS, Issue 5 2002Hak Chun Increasing evidence over the past decade indicates that financial markets exhibit nonlinear dynamics in the form of chaotic behavior. Traditionally, the prediction of stock markets has relied on statistical methods including multivariate statistical methods, autoregressive integrated moving average models and autoregressive conditional heteroskedasticity models. In recent years, neural networks and other knowledge techniques have been applied extensively to the task of predicting financial variables. This paper examines the relationship between chaotic models and learning techniques. In particular, chaotic analysis indicates the upper limits of predictability for a time series. The learning techniques involve neural networks and case,based reasoning. The chaotic models take the form of R/S analysis to measure persistence in a time series, the correlation dimension to encapsulate system complexity, and Lyapunov exponents to indicate predictive horizons. The concepts are illustrated in the context of a major emerging market, namely the Polish stock market. [source] Morphology and environment: geographic distribution, ecological disjunction, and morphological variation in Actinocephalus polyanthus (Bong.) Sano (Eriocaulaceae)FEDDES REPERTORIUM, Issue 7-8 2008M. Trovó Most Brazilian Eriocaulaceae have highly restricted geographic distributions. Actinocephalus polyanthus (Bong.) Sano is one of the few widely distributed species; furthermore this distribution includes an interesting ecological disjunction. Actinocephalus polyanthus occurs in montane areas from northern Minas Gerais to Paraná, as well as coastal sand dune habitats in Santa Catarina and Rio Grande do Sul. In attempt to investigate whether there is any correlation between the ecological disjunction and the patterns of morphology exhibited by this species, eight populations were sampled covering the geographic distribution and the ecological disjunction. We used multivariate statistical methods (UPGMA, PCA and DF) to describe the morphology, and to verify its correlation with its distribution and habitat. We conclude that sand dune populations are morphologically different from the montane populations. The main difference in these plants is the robustness. The sand dune plants are significantly smaller than the plants from montane areas. We also verified that these populations have a morphological identity. The occurrence of this species in such diverse environments may reflect the morphological diversity of the various populations of the species, and may be the primary cause of the difference in these populations. (© 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) Morphologie und Umgebung: geographische Verbreitung, ökologische Disjunktion und morphologische Variabilität bei Actinocephalus polyanthus (Bong.) Sano (Eriocaulaceae) Die meisten brasilianischen Eriocaulaceae haben nur eine eng begrenzte geographische Verbreitung. Actinocephalus polyanthus (Bong.) Sano ist eine der wenigen weit verbreiteten Arten. Diese Verbreitung zeigt eine interessante ökologische Disjunktion: Actinocephalus polyanthus tritt auf in den Gebirgsregionen vom nördlichen Minas Gerais bis Paraná und in den Küsten-Sanddünen in Santa Catarina und Rio Grande do Sul. Im Versuch, ob sich irgendeine Korrelation zwischen der ökologischen Disjunktion und der morphologischen Ausprägung bei dieser Art finden lässt, sammelten wir acht Populationen aus dem geographischen Verbreitungsgebiet und der ökologischen Disjunktion. Es wurden multivariate statistische Methoden (UPGMA, PCA und DF) eingesetzt um die Morphologie zu beschreiben und diese Korrelation zwischen Verbreitung und Habitat zu vergleichen. Wir konnten daraus schließen, dass die Populationen der Sanddünen sich von den montanen Populationen unterscheiden. Der Hauptunterschied liegt in der Robustheit der Pflanzen: die der Sanddünen sind deutlich kleiner als die aus den Bergregionen. Wir beobachteten auch, dass diese Populationen morphologisch identisch sind. Das Vorkommen dieser Art in so unterschiedlicher Umgebung widerspiegelt die morphologischen Unterschiede der verschiedenen Populationen der Art, und stellt vermutlich die Hauptursache für die Unterschiede zwischen den Populationen dar. [source] Spatial and temporal heterogeneity of the bacterial communities in stream epilithic biofilmsFEMS MICROBIOLOGY ECOLOGY, Issue 3 2008Gavin Lear Abstract The spatial and temporal variability in bacterial communities within freshwater systems is poorly understood. The bacterial composition of stream epilithic biofilms across a range of different spatial and temporal scales both within and between streams and across the profile of individual stream rocks was characterised using a community DNA-fingerprinting technique (Automated Ribosomal Intergenic Spacer Analysis, ARISA). The differences in bacterial community structure between two different streams were found to be greater than the spatial variability within each stream site, and were larger than the weekly temporal variation measured over a 10-week study period. Greater variations in bacterial community profiles were detected on different faces of individual stream rocks than between whole rocks sampled within a 9-m stream section. Stream temperature was found to be the most important determinant of bacterial community variability using distance-based redundancy analysis (dbRDA) of ARISA data, which may have broad implications for riparian zone management and ecological change as a consequence of global warming. The combination of ARISA with multivariate statistical methods and ordination, such as multidimensional scaling (MDS), permutational manova and RDA, provided rapid and effective methods for quantifying and visualising variation in bacterial community structure, and to identify potential drivers of ecological change. [source] High-throughput powder diffraction.JOURNAL OF APPLIED CRYSTALLOGRAPHY, Issue 4 2004Powder pattern matching techniques, using all the experimentally measured data points, coupled with cluster analysis, fuzzy clustering and multivariate statistical methods are used, with appropriate visualization tools, to analyse a set of 27 powder diffraction patterns of alumina collected at seven different laboratories on different instruments as part of an International Center for Diffraction Data Grant-in-Aid program. In their original form, the data factor into six distinct clusters. However, when a non-linear shift of the form (where a0 and a1 are refinable constants) is applied to optimize the correlations between patterns, clustering produces a large 25-pattern set with two outliers. The first outlier is a synchrotron data set at a different wavelength from the other data, and the second is distinguished by the absence of K,2 lines, i.e. it uses Ge-monochromated incident X-rays. Fuzzy clustering, in which samples may belong to more than one cluster, is introduced as a complementary method of pinpointing problematic diffraction patterns. In contrast to the usual methodology associated with the analysis of round-robin data, this process is carried out in a routine way, with minimal user interaction or supervision, using the PolySNAP software. [source] Proteome approaches combined with Fourier transform infrared spectroscopy revealed a distinctive biofilm physiology in Bordetella pertussisPROTEINS: STRUCTURE, FUNCTION AND BIOINFORMATICS, Issue 23-24 2008Diego Omar Serra Abstract Proteome analysis was combined with whole-cell metabolic fingerprinting to gain insight into the physiology of mature biofilm in Bordetella pertussis, the agent responsible for whooping cough. Recent reports indicate that B. pertussis adopts a sessile biofilm as a strategy to persistently colonize the human host. However, since research in the past mainly focused on the planktonic lifestyle of B. pertussis, knowledge on biofilm formation of this important human pathogen is still limited. Comparative studies were carried out by combining 2-DE and Fourier transform infrared (FT-IR) spectroscopy with multivariate statistical methods. These complementary approaches demonstrated that biofilm development has a distinctive impact on B. pertussis physiology. Results from MALDI-TOF/MS identification of proteins together with results from FT-IR spectroscopy revealed the biosynthesis of a putative acidic-type polysaccharide polymer as the most distinctive trait of B. pertussis life in a biofilm. Additionally, expression of proteins known to be involved in cellular regulatory circuits, cell attachment and virulence was altered in sessile cells, which strongly suggests a significant impact of biofilm development on B. pertussis pathogenesis. In summary, our work showed that the combination of proteomics and FT-IR spectroscopy with multivariate statistical analysis provides a powerful tool to gain further insight into bacterial lifestyles. [source] Using multivariate statistical methods to model the electrospray ionization response of GXG tripeptides based on multiple physicochemical parametersRAPID COMMUNICATIONS IN MASS SPECTROMETRY, Issue 14 2009M. A. Raji Response factors were determined for twelve GXG peptides (where G stands for glycine and X is any of alanine [A], arginine [R], asparagine [N], aspartic acid [D], glycine [G], histidine [H], leucine [L], lysine [K], phenylalanine [F], serine [S], tyrosine [Y], valine [V]) by electrospray ionization mass spectrometry (ESI-MS). The response factors were measured using a novel flow injection method. This new method is based on the Gaussian distribution of analyte concentration resulting from band-broadening dispersion experienced by the analyte upon passage through an extended volume of PEEK tubing. This method removes the need for preparing a discrete series of standard solutions to assess concentration-dependent response. Relative response factors were calculated for each peptide with reference to GGG. The observed trends in the relative response factors were correlated with several analyte physicochemical parameters, chosen based on current understanding of ion release from charged droplets during the ESI process. These include analyte properties: nonpolar surface area; polar surface area; gas-phase basicity; proton affinity; and Log D. Multivariate statistical analysis using multiple linear regression, decision tree, and support vector regression models were investigated to assess their potential for predicting ESI response based on the analyte properties. The support vector regression model was more versatile and produced the least predictive error following 12-fold cross-validation. The effect of variation in solution pH on the relative response factors is highlighted, as evidenced by the different predictive models obtained for peptide response at two pH values (pH,=,6.0 and 9.0). The relationship between physicochemical parameters and associated ionization efficiencies for GXG tripeptides is discussed based on the equilibrium partitioning model. Copyright © 2009 John Wiley & Sons, Ltd. [source] Contact in the Andes: Bioarchaeology of systemic stress in colonial Mórrope, PeruAMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY, Issue 3 2009Haagen D. Klaus Abstract The biocultural interchange between the Eastern and Western Hemispheres beginning in the late fifteenth century initiated an unprecedented adaptive transition for Native Americans. This article presents findings from the initial population biological study of contact in the Central Andes of Peru using human skeletal remains. We test the hypothesis that as a consequence of Spanish colonization, the indigenous Mochica population of Mórrope on the north coast of Peru experienced elevated systemic biological stress. Using multivariate statistical methods, we examine childhood stress reflected in the prevalence of linear enamel hypoplasias and porotic hyperostosis, femoral growth velocity, and terminal adult stature. Nonspecific periosteal infection prevalence and D30+/D5+ ratio estimations of female fertility characterized adult systemic stress. Compared to the late pre-Hispanic population, statistically significant patterns of increased porotic hyperostosis and periosteal inflammation, subadult growth faltering, and depressed female fertility indicate elevated postcontact stress among both children and adults in Mórrope. Terminal adult stature was unchanged. A significant decrease in linear enamel hypoplasia prevalence may not indicate improved health, but reflect effects of high-mortality epidemic disease. Various lines of physiological, archaeological, and ethnohistoric evidence point to specific socioeconomic and microenvironmental factors that shaped these outcomes, but the effects of postcontact population aggregation in this colonial town likely played a fundamental role in increased morbidity. These results inform a model of postcontact coastal Andean health outcomes on local and regional scales and contribute to expanding understandings of the diversity of indigenous biological variation in the postcontact Western Hemisphere. Am J Phys Anthropol, 2009. © 2008 Wiley-Liss, Inc. [source] Assessing Ceramic Compositional Data: A Comparison of Total Reflection X-ray Fluorescence and Instrumental Neutron Activation Analysis On Late Iron Age Spanish Celtiberian CeramicsARCHAEOMETRY, Issue 3 2001M. García-Heras A solid-phase, non-chemical processing protocol was recently developed as a means of chemically characterizing archaeological ceramics by total reflection X-ray fluorescence (TXRF). Following this methodology, TXRF can provide semi-quantitative determinations for 18 elements with comparable levels of precision and accuracy for the majority of them in comparison with a clay reference material analysed by instrumental neutron activation (INAA). In order critically to assess the analytical capabilities of TXRF, a large sample set of Late Iron Age Spanish Celtiberian ceramics and modern clays was analysed both by TXRF and INAA. Semi-quantitative chemical data provided by TXRF and quantitative data provided by INAA were subjected to commonly used multivariate statistical methods as a way of evaluating the ability of the new technique to discriminate among different compositional groups. The comparison of the two data sets shows no significant discrepancies, thereby allowing support for the same archaeological interpretation. These results suggest that TXRF has potential applicability for compositional characterization of archaeological ceramics, providing data that are useful for provenance studies. [source] Identification of neutrophil gelatinase-associated lipocalin (NGAL) as a discriminatory marker of the hepatocyte-secreted protein response to IL-1,: a proteomic analysisBIOTECHNOLOGY & BIOENGINEERING, Issue 4 2005Arul Jayaraman Abstract The liver is the major source of proteins used throughout the body for various functions. Upon injury or infection, an acute phase response (APR) is initiated in the liver that is primarily mediated by inflammatory cytokines such as interleukin-1, (IL-1,) and interleukin-6. Among others, the APR is characterized by an altered protein synthetic profile. We used two-dimensional gel electrophoresis to study the dynamics of changes in protein synthesis in hepatocytes exposed to these inflammatory cytokines. Protein profiles were quantified using image analysis and further analyzed using multivariate statistical methods. Our results indicate that IL-1, and IL-6 each induces secreted protein responses with distinct dynamics and dose-dependence. Parallel stimulation by IL-1, and IL-6 results in a protein pattern indistinguishable from the IL-1, pattern, indicating a dominant effect of IL-1, over IL-6 at the doses tested. Multidimensional scaling (MDS) of correlation distances between protein secretion levels revealed two protein pairs that are robustly co-secreted across the various cytokine stimulation conditions, suggesting shared regulatory pathways. Finally, we also used multivariate alternating conditional expectation (MACE) to identify transformation functions that discriminated the cytokine-stimulated and untreated hepatocyte-secreted protein profiles. Our analysis indicates that the expression of neutrophil gelatinase-associated lipocalin (NGAL) was sufficient to discriminate between IL-1, and IL-6 stimulation. The combination of proteomics and multivariate analysis is expected to provide new information on the cellular regulatory networks involved in generating specific cellular responses. © 2005 Wiley Periodicals, Inc. [source] Fragile histidine triad protein, WW domain-containing oxidoreductase protein Wwox, and activator protein 2, expression levels correlate with basal phenotype in breast cancerCANCER, Issue 4 2009Gulnur Guler MD Abstract BACKGROUND: The expression of fragile histidine triad protein (Fhit) and WW domain-containing oxidoreductase protein (Wwox), tumor suppressors that are encoded by fragile (FRA) loci FRA3B and FRA16D, are lost concordantly in breast cancers. In the current study, the authors examined correlations among Fhit, Wwox, the activator protein 2 transcription factors AP2, and AP2,, cytokeratins 5 and 6 (CK5/6), epidermal growth factor receptor (EGFR), estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2) and their associations with breast cancer phenotypes. METHODS: Tissue microarrays constructed from 837 breast cancer blocks were immunostained. Expression in >10% of tumor cells was considered positive for cytoplasmic CK5/6, membranous EGFR, and nuclear AP2, and AP2,. Cytoplasmic Fhit and Wwox staining was scored according to staining intensity. ER, PR, and HER-2 status of tumors was derived from records. Correlations among immunohistochemical markers and tumor subtypes were assessed by univariate and multivariate statistical methods. RESULTS: Triple-negative tumors had more frequent expression of EGFR, CK5/6 (P < .001), and AP2, (P = .003) and more frequent loss of Fhit and Wwox (P < .001), and an inverse correlation was observed between Fhit, Wwox expression and EGFR, ER, and PR expression (P < .001). Reduced Fhit expression was more common in HER-2-positive and AP2,-positive cases (P < .001 and P = .002, respectively). There was a direct correlation noted between Fhit and Wwox (P < .001) and a borderline positive relation between AP2, and AP2, (P = .054). CONCLUSIONS: The results from this investigation suggested that reduced expression levels of Fhit, Wwox, and nuclear AP2, have roles in the pathogenesis of basal-like differentiation in breast cancer. Alteration in the expression of fragile site genes occurs in most of these cancers and may contribute to defects in DNA repair, as observed in breast cancer 1 (BRCA1)-deficient cancers. Thus, DNA damage response checkpoint proteins may be targets for treatment. Cancer 2009. © 2009 American Cancer Society. [source] Prognostic factors for patients with localized soft-tissue sarcoma treated with conservation surgery and radiation therapyCANCER, Issue 10 2003An analysis of 1225 patients Abstract BACKGROUND Prognostic factors for patients with soft-tissue sarcoma who are treated with conservative surgery and radiation are documented poorly. METHODS The clinicopathologic features and disease outcome for 1225 patients with localized sarcoma who were treated with conservative surgery and radiation were reviewed retrospectively. Actuarial univariate and multivariate statistical methods were used to determine significant prognostic factors for local control, metastatic recurrence, and disease specific survival. RESULTS The median follow-up of surviving patients was 9.5 years. The respective local control rates at 5 years, 10 years, and 15 years were 83%, 80%, and 79%. Factors predictive of local recurrence were positive or uncertain resection margins; tumors located in the head and neck and the deep trunk; presentation with local recurrence; patient age > 64 years; malignant fibrous histiocytoma, neurogenic sarcoma. or epithelioid sarcoma histopathology; tumor measuring > 10 cm in greatest dimension; and high pathologic grade. Freedom from metastasis at 5 years, 10 years, and 15 years was 71%, 68%, and 66%, respectively. Factors that were predictive of metastatic recurrence were high tumor grade; large tumor size (> 5 cm); and leiomyosarcoma, rhabdomyosarcoma, synovial sarcoma, or epithelioid sarcoma. The respective disease specific survival rates at 5 years, 10 years, and 15 years were 73%, 68%, and 65%. Adverse factors for disease specific survival were high tumor grade; large tumor size (> 5 cm); tumors located in the head and neck and deep trunk; rhabdomyosarcoma, epithelioid sarcoma, or clear cell sarcoma; patient age > 64 years; and positive or uncertain resection margins. CONCLUSIONS Soft-tissue sarcoma comprises a heterogeneous group of diseases. Prognostic factors for local recurrence, metastatic recurrence, lymph node recurrence, disease free survival, and disease specific survival are different, and optimal treatment strategies need to take this complexity into account. Cancer 2003;10:2530,43. © 2003 American Cancer Society. DOI 10.1002/cncr.11365 [source] | ||||||||||||||||