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468 Publications visible to you, out of a total of 468
KMWin--a convenient tool for graphical presentation of results from Kaplan-Meier survival time analysis.
GLA - German Lymphoma Alliance, Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND: Analysis of clinical studies often necessitates multiple graphical representations of the results. Many professional software packages are available for this purpose. Most packages are … either only commercially available or hard to use especially if one aims to generate or customize a huge number of similar graphical outputs. We developed a new, freely available software tool called KMWin (Kaplan-Meier for Windows) facilitating Kaplan-Meier survival time analysis. KMWin is based on the statistical software environment R and provides an easy to use graphical interface. Survival time data can be supplied as SPSS (sav), SAS export (xpt) or text file (dat), which is also a common export format of other applications such as Excel. Figures can directly be exported in any graphical file format supported by R. RESULTS: On the basis of a working example, we demonstrate how to use KMWin and present its main functions. We show how to control the interface, customize the graphical output, and analyse survival time data. A number of comparisons are performed between KMWin and SPSS regarding graphical output, statistical output, data management and development. Although the general functionality of SPSS is larger, KMWin comprises a number of features useful for survival time analysis in clinical trials and other applications. These are for example number of cases and number of cases under risk within the figure or provision of a queue system for repetitive analyses of updated data sets. Moreover, major adjustments of graphical settings can be performed easily on a single window. CONCLUSIONS: We conclude that our tool is well suited and convenient for repetitive analyses of survival time data. It can be used by non-statisticians and provides often used functions as well as functions which are not supplied by standard software packages. The software is routinely applied in several clinical study groups.

Authors: A. Gross, M. Ziepert, M. Scholz

Date Published: 23rd Jun 2012

Publication Type: Not specified

Effect of empirical treatment with moxifloxacin and meropenem vs meropenem on sepsis-related organ dysfunction in patients with severe sepsis: a randomized trial.
SepNet - German Competence Network Sepsis

Abstract (Expand)

CONTEXT: Early appropriate antimicrobial therapy leads to lower mortality rates associated with severe sepsis. The role of empirical combination therapy comprising at least 2 antibiotics of different … mechanisms remains controversial. OBJECTIVE: To compare the effect of moxifloxacin and meropenem with the effect of meropenem alone on sepsis-related organ dysfunction. DESIGN, SETTING, AND PATIENTS: A randomized, open-label, parallel-group trial of 600 patients who fulfilled criteria for severe sepsis or septic shock (n = 298 for monotherapy and n = 302 for combination therapy). The trial was performed at 44 intensive care units in Germany from October 16, 2007, to March 23, 2010. The number of evaluable patients was 273 in the monotherapy group and 278 in the combination therapy group. INTERVENTIONS: Intravenous meropenem (1 g every 8 hours) and moxifloxacin (400 mg every 24 hours) or meropenem alone. The intervention was recommended for 7 days and up to a maximum of 14 days after randomization or until discharge from the intensive care unit or death, whichever occurred first. MAIN OUTCOME MEASURE: Degree of organ failure (mean of daily total Sequential Organ Failure Assessment [SOFA] scores over 14 days; score range: 0-24 points with higher scores indicating worse organ failure); secondary outcome: 28-day and 90-day all-cause mortality. Survivors were followed up for 90 days. RESULTS: Among 551 evaluable patients, there was no statistically significant difference in mean SOFA score between the meropenem and moxifloxacin group (8.3 points; 95% CI, 7.8-8.8 points) and the meropenem alone group (7.9 points; 95% CI, 7.5-8.4 points) (P = .36). The rates for 28-day and 90-day mortality also were not statistically significantly different. By day 28, there were 66 deaths (23.9%; 95% CI, 19.0%-29.4%) in the combination therapy group compared with 59 deaths (21.9%; 95% CI, 17.1%-27.4%) in the monotherapy group (P = .58). By day 90, there were 96 deaths (35.3%; 95% CI, 29.6%-41.3%) in the combination therapy group compared with 84 deaths (32.1%; 95% CI, 26.5%-38.1%) in the monotherapy group (P = .43). CONCLUSION: Among adult patients with severe sepsis, treatment with combined meropenem and moxifloxacin compared with meropenem alone did not result in less organ failure. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00534287.

Authors: F. M. Brunkhorst, M. Oppert, G. Marx, F. Bloos, K. Ludewig, C. Putensen, A. Nierhaus, U. Jaschinski, A. Meier-Hellmann, A. Weyland, M. Grundling, O. Moerer, R. Riessen, A. Seibel, M. Ragaller, M. W. Buchler, S. John, F. Bach, C. Spies, L. Reill, H. Fritz, M. Kiehntopf, E. Kuhnt, H. Bogatsch, C. Engel, M. Loeffler, M. H. Kollef, K. Reinhart, T. Welte

Date Published: 13th Jun 2012

Publication Type: Not specified

Human Diseases: bacterial infectious disease

The role of sex and weight on rituximab clearance and serum elimination half-life in elderly patients with DLBCL.
GLA - German Lymphoma Alliance

Abstract (Expand)

Pharmacokinetics of 8 doses of rituximab (375 mg/m(2)) given in combination with 2-week cyclophosphamide, hydroxydaunorubicin, vincristine, and prednisone/prednisolone (CHOP-14) was determined by ELISA … in 20 elderly patients with diffuse large B-cell lymphoma (DLBCL) 10 minutes before and after each infusion and 1 week and 1, 2, 3, 6, and 9 months after the last infusion. Population pharmacokinetic modeling was performed with nonlinear mixed-effect modeling software (NONMEM VI). Concentration-time data were fitted into an open 2-compartment model and total clearance, central compartment volume, intercompartment clearance, and volume of distribution at steady-state (Vd(ss)) were investigated. Total clearance was 9.43 mL/h and Vd(ss) was 9.61 l. Rituximab clearance was reduced (8.21 mL/h vs 12.68 mL/h; P = .003) and elimination half-life was prolonged in women compared with men (t(1/2beta) = 30.7 vs 24.7 days; P = .003). Body weight also affected Vd(ss) (0.1 l increase of Vd(ss) per kilogram above median of 75 kg). A sex-dependent effect and the higher weight of males contribute to their faster rituximab clearance, which might explain why elderly males benefit less from the addition of rituximab to CHOP than females. This trial was registered on www.clinicaltrials.gov as numbers NCT00052936, EU-20243 (RICOVER-60 Trial), EU-20534, and NCT00726700 (Pegfilgrastim Trial).

Authors: C. Muller, N. Murawski, M. H. Wiesen, G. Held, V. Poeschel, S. Zeynalova, M. Wenger, C. Nickenig, N. Peter, E. Lengfelder, B. Metzner, T. Rixecker, C. Zwick, M. Pfreundschuh, M. Reiser

Date Published: 5th Apr 2012

Publication Type: Not specified

Human Diseases: diffuse large B-cell lymphoma

Ovarian cancer susceptibility alleles and risk of ovarian cancer in BRCA1 and BRCA2 mutation carriers
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

Germline mutations in BRCA1 and BRCA2 are associated with increased risks of breast and ovarian cancer. A genome-wide association study (GWAS) identified six alleles associated with risk of ovarian … cancer for women in the general population. We evaluated four of these loci as potential modifiers of ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Four single-nucleotide polymorphisms (SNPs), rs10088218 (at 8q24), rs2665390 (at 3q25), rs717852 (at 2q31), and rs9303542 (at 17q21), were genotyped in 12,599 BRCA1 and 7,132 BRCA2 carriers, including 2,678 ovarian cancer cases. Associations were evaluated within a retrospective cohort approach. All four loci were associated with ovarian cancer risk in BRCA2 carriers; rs10088218 per-allele hazard ratio (HR) = 0.81 (95% CI: 0.67-0.98) P-trend = 0.033, rs2665390 HR = 1.48 (95% CI: 1.21-1.83) P-trend = 1.8 \times 10(-4), rs717852 HR = 1.25 (95% CI: 1.10-1.42) P-trend = 6.6 \times 10(-4), rs9303542 HR = 1.16 (95% CI: 1.02-1.33) P-trend = 0.026. Two loci were associated with ovarian cancer risk in BRCA1 carriers; rs10088218 per-allele HR = 0.89 (95% CI: 0.81-0.99) P-trend = 0.029, rs2665390 HR = 1.25 (95% CI: 1.10-1.42) P-trend = 6.1 \times 10(-4). The HR estimates for the remaining loci were consistent with odds ratio estimates for the general population. The identification of multiple loci modifying ovarian cancer risk may be useful for counseling women with BRCA1 and BRCA2 mutations regarding their risk of ovarian cancer.

Authors: Susan J. Ramus, Antonis C. Antoniou, Karoline B. Kuchenbaecker, Penny Soucy, Jonathan Beesley, Xiaoqing Chen, Lesley McGuffog, Olga M. Sinilnikova, Sue Healey, Daniel Barrowdale, Andrew Lee, Mads Thomassen, Anne-Marie Gerdes, Torben A. Kruse, Uffe Birk Jensen, Anne-Bine Skytte, Maria A. Caligo, Annelie Liljegren, Annika Lindblom, Håkan Olsson, Ulf Kristoffersson, Marie Stenmark-Askmalm, Beatrice Melin, Susan M. Domchek, Katherine L. Nathanson, Timothy R. Rebbeck, Anna Jakubowska, Jan Lubinski, Katarzyna Jaworska, Katarzyna Durda, Elżbieta Złowocka, Jacek Gronwald, Tomasz Huzarski, Tomasz Byrski, Cezary Cybulski, Aleksandra Toloczko-Grabarek, Ana Osorio, Javier Benitez, Mercedes Duran, Maria-Isabel Tejada, Ute Hamann, Matti Rookus, Flora E. van Leeuwen, Cora M. Aalfs, Hanne E. J. Meijers-Heijboer, Christi J. van Asperen, K. E. P. van Roozendaal, Nicoline Hoogerbrugge, J. Margriet Collée, Mieke Kriege, Rob B. van der Luijt, Susan Peock, Debra Frost, Steve D. Ellis, Radka Platte, Elena Fineberg, D. Gareth Evans, Fiona Lalloo, Chris Jacobs, Ros Eeles, Julian Adlard, Rosemarie Davidson, Diana Eccles, Trevor Cole, Jackie Cook, Joan Paterson, Fiona Douglas, Carole Brewer, Shirley Hodgson, Patrick J. Morrison, Lisa Walker, Mary E. Porteous, M. John Kennedy, Harsh Pathak, Andrew K. Godwin, Dominique Stoppa-Lyonnet, Virginie Caux-Moncoutier, Antoine de Pauw, Marion Gauthier-Villars, Sylvie Mazoyer, Mélanie Léoné, Alain Calender, Christine Lasset, Valérie Bonadona, Agnès Hardouin, Pascaline Berthet, Yves-Jean Bignon, Nancy Uhrhammer, Laurence Faivre, Catherine Loustalot, Saundra Buys, Mary Daly, Alex Miron, Mary Beth Terry, Wendy K. Chung, Esther M. John, Melissa Southey, David Goldgar, Christian F. Singer, Muy-Kheng Tea, Georg Pfeiler, Anneliese Fink-Retter, Thomas v. O. Hansen, Bent Ejlertsen, Oskar Th Johannsson, Kenneth Offit, Tomas Kirchhoff, Mia M. Gaudet, Joseph Vijai, Mark Robson, Marion Piedmonte, Kelly-Anne Phillips, Linda van Le, James S. Hoffman, Amanda Ewart Toland, Marco Montagna, Silvia Tognazzo, Evgeny Imyanitov, Claudine Issacs, Ramunas Janavicius, Conxi Lazaro, Iganacio Blanco, Eva Tornero, Matilde Navarro, Kirsten B. Moysich, Beth Y. Karlan, Jenny Gross, Edith Olah, Tibor Vaszko, Soo-Hwang Teo, Patricia A. Ganz, Mary S. Beattie, Cecelia M. Dorfling, Elizabeth J. van Rensburg, Orland Diez, Ava Kwong, Rita K. Schmutzler, Barbara Wappenschmidt, Christoph Engel, Alfons Meindl, Nina Ditsch, Norbert Arnold, Simone Heidemann, Dieter Niederacher, Sabine Preisler-Adams, Dorotehea Gadzicki, Raymonda Varon-Mateeva, Helmut Deissler, Andrea Gehrig, Christian Sutter, Karin Kast, Britta Fiebig, Dieter Schäfer, Trinidad Caldes, Miguel de La Hoya, Heli Nevanlinna, Kristiina Aittomäki, Marie Plante, Amanda B. Spurdle, Susan L. Neuhausen, Yuan Chun Ding, Xianshu Wang, Noralane Lindor, Zachary Fredericksen, V. Shane Pankratz, Paolo Peterlongo, Siranoush Manoukian, Bernard Peissel, Daniela Zaffaroni, Bernardo Bonanni, Loris Bernard, Riccardo Dolcetti, Laura Papi, Laura Ottini, Paolo Radice, Mark H. Greene, Phuong L. Mai, Irene L. Andrulis, Gord Glendon, Hilmi Ozcelik, Paul D. P. Pharoah, Simon A. Gayther, Jacques Simard, Douglas F. Easton, Fergus J. Couch, Georgia Chenevix-Trench

Date Published: 1st Apr 2012

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

19p13.1 is a triple-negative-specific breast cancer susceptibility locus
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

The 19p13.1 breast cancer susceptibility locus is a modifier of breast cancer risk in BRCA1 mutation carriers and is also associated with the risk of ovarian cancer. Here, we investigated 19p13.1 … variation and risk of breast cancer subtypes, defined by estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER2) status, using 48,869 breast cancer cases and 49,787 controls from the Breast Cancer Association Consortium (BCAC). Variants from 19p13.1 were not associated with breast cancer overall or with ER-positive breast cancer but were significantly associated with ER-negative breast cancer risk [rs8170 OR, 1.10; 95% confidence interval (CI), 1.05-1.15; P = 3.49 \times 10(-5)] and triple-negative (ER-, PR-, and HER2-negative) breast cancer (rs8170: OR, 1.22; 95% CI, 1.13-1.31; P = 2.22 \times 10(-7)). However, rs8170 was no longer associated with ER-negative breast cancer risk when triple-negative cases were excluded (OR, 0.98; 95% CI, 0.89-1.07; P = 0.62). In addition, a combined analysis of triple-negative cases from BCAC and the Triple Negative Breast Cancer Consortium (TNBCC; N = 3,566) identified a genome-wide significant association between rs8170 and triple-negative breast cancer risk (OR, 1.25; 95% CI, 1.18-1.33; P = 3.31 \times 10(-13)]. Thus, 19p13.1 is the first triple-negative-specific breast cancer risk locus and the first locus specific to a histologic subtype defined by ER, PR, and HER2 to be identified. These findings provide convincing evidence that genetic susceptibility to breast cancer varies by tumor subtype and that triple-negative tumors and other subtypes likely arise through distinct etiologic pathways.

Authors: Kristen N. Stevens, Zachary Fredericksen, Celine M. Vachon, Xianshu Wang, Sara Margolin, Annika Lindblom, Heli Nevanlinna, Dario Greco, Kristiina Aittomäki, Carl Blomqvist, Jenny Chang-Claude, Alina Vrieling, Dieter Flesch-Janys, Hans-Peter Sinn, Shan Wang-Gohrke, Stefan Nickels, Hiltrud Brauch, Yon-Dschun Ko, Hans-Peter Fischer, Rita K. Schmutzler, Alfons Meindl, Claus R. Bartram, Sarah Schott, Christoph Engel, Andrew K. Godwin, JoEllen Weaver, Harsh B. Pathak, Priyanka Sharma, Hermann Brenner, Heiko Müller, Volker Arndt, Christa Stegmaier, Penelope Miron, Drakoulis Yannoukakos, Alexandra Stavropoulou, George Fountzilas, Helen J. Gogas, Ruth Swann, Miriam Dwek, Annie Perkins, Roger L. Milne, Javier Benítez, María Pilar Zamora, José Ignacio Arias Pérez, Stig E. Bojesen, Sune F. Nielsen, Børge G. Nordestgaard, Henrik Flyger, Pascal Guénel, Thérèse Truong, Florence Menegaux, Emilie Cordina-Duverger, Barbara Burwinkel, Frederick Marmé, Andreas Schneeweiss, Christof Sohn, Elinor Sawyer, Ian Tomlinson, Michael J. Kerin, Julian Peto, Nichola Johnson, Olivia Fletcher, Isabel Dos Santos Silva, Peter A. Fasching, Matthias W. Beckmann, Arndt Hartmann, Arif B. Ekici, Artitaya Lophatananon, Kenneth Muir, Puttisak Puttawibul, Surapon Wiangnon, Marjanka K. Schmidt, Annegien Broeks, Linde M. Braaf, Efraim H. Rosenberg, John L. Hopper, Carmel Apicella, Daniel J. Park, Melissa C. Southey, Anthony J. Swerdlow, Alan Ashworth, Nicholas Orr, Minouk J. Schoemaker, Hoda Anton-Culver, Argyrios Ziogas, Leslie Bernstein, Christina Clarke Dur, Chen-Yang Shen, Jyh-Cherng Yu, Huan-Ming Hsu, Chia-Ni Hsiung, Ute Hamann, Thomas Dünnebier, Thomas Rüdiger, Hans Ulrich Ulmer, Paul P. Pharoah, Alison M. Dunning, Manjeet K. Humphreys, Qin Wang, Angela Cox, Simon S. Cross, Malcom W. Reed, Per Hall, Kamila Czene, Christine B. Ambrosone, Foluso Ademuyiwa, Helena Hwang, Diana M. Eccles, Montserrat Garcia-Closas, Jonine D. Figueroa, Mark E. Sherman, Jolanta Lissowska, Peter Devilee, Caroline Seynaeve, Rob A. E. M. Tollenaar, Maartje J. Hooning, Irene L. Andrulis, Julia A. Knight, Gord Glendon, Anna Marie Mulligan, Robert Winqvist, Katri Pylkäs, Arja Jukkola-Vuorinen, Mervi Grip, Esther M. John, Alexander Miron, Grethe Grenaker Alnæs, Vessela Kristensen, Anne-Lise Børresen-Dale, Graham G. Giles, Laura Baglietto, Catriona A. McLean, Gianluca Severi, Matthew L. Kosel, V. S. Pankratz, Susan Slager, Janet E. Olson, Paolo Radice, Paolo Peterlongo, Siranoush Manoukian, Monica Barile, Diether Lambrechts, Sigrid Hatse, Anne-Sophie Dieudonne, Marie-Rose Christiaens, Georgia Chenevix-Trench, Jonathan Beesley, Xiaoqing Chen, Arto Mannermaa, Veli-Matti Kosma, Jaana M. Hartikainen, Ylermi Soini, Douglas F. Easton, Fergus J. Couch

Date Published: 1st Apr 2012

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Common variants at the 19p13.1 and ZNF365 loci are associated with ER subtypes of breast cancer and ovarian cancer risk in BRCA1 and BRCA2 mutation carriers
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

BACKGROUND Genome-wide association studies (GWAS) identified variants at 19p13.1 and ZNF365 (10q21.2) as risk factors for breast cancer among BRCA1 and BRCA2 mutation carriers, respectively. We explored …d associations with ovarian cancer and with breast cancer by tumor histopathology for these variants in mutation carriers from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). METHODS Genotyping data for 12,599 BRCA1 and 7,132 BRCA2 mutation carriers from 40 studies were combined. RESULTS We confirmed associations between rs8170 at 19p13.1 and breast cancer risk for BRCA1 mutation carriers [HR, 1.17; 95% confidence interval (CI), 1.07-1.27; P = 7.42 \times 10(-4)] and between rs16917302 at ZNF365 (HR, 0.84; 95% CI, 0.73-0.97; P = 0.017) but not rs311499 at 20q13.3 (HR, 1.11; 95% CI, 0.94-1.31; P = 0.22) and breast cancer risk for BRCA2 mutation carriers. Analyses based on tumor histopathology showed that 19p13 variants were predominantly associated with estrogen receptor (ER)-negative breast cancer for both BRCA1 and BRCA2 mutation carriers, whereas rs16917302 at ZNF365 was mainly associated with ER-positive breast cancer for both BRCA1 and BRCA2 mutation carriers. We also found for the first time that rs67397200 at 19p13.1 was associated with an increased risk of ovarian cancer for BRCA1 (HR, 1.16; 95% CI, 1.05-1.29; P = 3.8 \times 10(-4)) and BRCA2 mutation carriers (HR, 1.30; 95% CI, 1.10-1.52; P = 1.8 \times 10(-3)). CONCLUSIONS 19p13.1 and ZNF365 are susceptibility loci for ovarian cancer and ER subtypes of breast cancer among BRCA1 and BRCA2 mutation carriers. IMPACT These findings can lead to an improved understanding of tumor development and may prove useful for breast and ovarian cancer risk prediction for BRCA1 and BRCA2 mutation carriers.

Authors: Fergus J. Couch, Mia M. Gaudet, Antonis C. Antoniou, Susan J. Ramus, Karoline B. Kuchenbaecker, Penny Soucy, Jonathan Beesley, Xiaoqing Chen, Xianshu Wang, Tomas Kirchhoff, Lesley McGuffog, Daniel Barrowdale, Andrew Lee, Sue Healey, Olga M. Sinilnikova, Irene L. Andrulis, Hilmi Ozcelik, Anna Marie Mulligan, Mads Thomassen, Anne-Marie Gerdes, Uffe Birk Jensen, Anne-Bine Skytte, Torben A. Kruse, Maria A. Caligo, Anna von Wachenfeldt, Gisela Barbany-Bustinza, Niklas Loman, Maria Soller, Hans Ehrencrona, Per Karlsson, Katherine L. Nathanson, Timothy R. Rebbeck, Susan M. Domchek, Ania Jakubowska, Jan Lubinski, Katarzyna Jaworska, Katarzyna Durda, Elzbieta Zlowocka, Tomasz Huzarski, Tomasz Byrski, Jacek Gronwald, Cezary Cybulski, Bohdan Górski, Ana Osorio, Mercedes Durán, María Isabel Tejada, Javier Benitez, Ute Hamann, Frans B. L. Hogervorst, Theo A. van Os, Flora E. van Leeuwen, Hanne E. J. Meijers-Heijboer, Juul Wijnen, Marinus J. Blok, Marleen Kets, Maartje J. Hooning, Rogier A. Oldenburg, Margreet G. E. M. Ausems, Susan Peock, Debra Frost, Steve D. Ellis, Radka Platte, Elena Fineberg, D. Gareth Evans, Chris Jacobs, Rosalind A. Eeles, Julian Adlard, Rosemarie Davidson, Diana M. Eccles, Trevor Cole, Jackie Cook, Joan Paterson, Carole Brewer, Fiona Douglas, Shirley V. Hodgson, Patrick J. Morrison, Lisa Walker, Mary E. Porteous, M. John Kennedy, Lucy E. Side, Betsy Bove, Andrew K. Godwin, Dominique Stoppa-Lyonnet, Marion Fassy-Colcombet, Laurent Castera, François Cornelis, Sylvie Mazoyer, Mélanie Léoné, Nadia Boutry-Kryza, Brigitte Bressac-de Paillerets, Olivier Caron, Pascal Pujol, Isabelle Coupier, Capucine Delnatte, Linda Akloul, Henry T. Lynch, Carrie L. Snyder, Saundra S. Buys, Mary B. Daly, Marybeth Terry, Wendy K. Chung, Esther M. John, Alexander Miron, Melissa C. Southey, John L. Hopper, David E. Goldgar, Christian F. Singer, Christine Rappaport, Muy-Kheng M. Tea, Anneliese Fink-Retter, Thomas v. O. Hansen, Finn C. Nielsen, A\dhalgeir Arason, Joseph Vijai, Sohela Shah, Kara Sarrel, Mark E. Robson, Marion Piedmonte, Kelly Phillips, Jack Basil, Wendy S. Rubinstein, John Boggess, Katie Wakeley, Amanda Ewart-Toland, Marco Montagna, Simona Agata, Evgeny N. Imyanitov, Claudine Isaacs, Ramunas Janavicius, Conxi Lazaro, Ignacio Blanco, Lidia Feliubadalo, Joan Brunet, Simon A. Gayther, Paul P. D. Pharoah, Kunle O. Odunsi, Beth Y. Karlan, Christine S. Walsh, Edith Olah, Soo Hwang Teo, Patricia A. Ganz, Mary S. Beattie, Elizabeth J. van Rensburg, Cecelia M. Dorfling, Orland Diez, Ava Kwong, Rita K. Schmutzler, Barbara Wappenschmidt, Christoph Engel, Alfons Meindl, Nina Ditsch, Norbert Arnold, Simone Heidemann, Dieter Niederacher, Sabine Preisler-Adams, Dorothea Gadzicki, Raymonda Varon-Mateeva, Helmut Deissler, Andrea Gehrig, Christian Sutter, Karin Kast, Britta Fiebig, Wolfram Heinritz, Trinidad Caldes, Miguel de La Hoya, Taru A. Muranen, Heli Nevanlinna, Marc D. Tischkowitz, Amanda B. Spurdle, Susan L. Neuhausen, Yuan Chun Ding, Noralane M. Lindor, Zachary Fredericksen, V. Shane Pankratz, Paolo Peterlongo, Siranoush Manoukian, Bernard Peissel, Daniela Zaffaroni, Monica Barile, Loris Bernard, Alessandra Viel, Giuseppe Giannini, Liliana Varesco, Paolo Radice, Mark H. Greene, Phuong L. Mai, Douglas F. Easton, Georgia Chenevix-Trench, Kenneth Offit, Jacques Simard

Date Published: 28th Mar 2012

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Classifying prostate cancer malignancy by quantitative histomorphometry.
ProstataCA

Abstract (Expand)

PURPOSE: Prostate cancer is routinely graded according to the Gleason grading scheme. This scheme is predominantly based on the textural appearance of aberrant glandular structures. Gleason grade is … difficult to standardize and often leads to discussion due to interrater and intrarater disagreement. Thus, we investigated whether digital image based automated quantitative histomorphometry could be used to achieve a more standardized, reproducible classification outcome. MATERIALS AND METHODS: In a proof of principle study we developed a method to evaluate digitized histological images of single prostate cancer regions in hematoxylin and eosin stained sections. Preprocessed color images were subjected to color deconvolution, followed by the binarization of obtained hematoxylin related image channels. Highlighted neoplastic epithelial gland related objects were morphometrically assessed by a classifier based on 2 calculated quantitative and objective geometric measures, that is inverse solidity and inverse compactness. The procedure was then applied to the prostate cancer probes of 125 patients. Each probe was independently classified for Gleason grade 3, 4 or 5 by an experienced pathologist blinded to image analysis outcome. RESULTS: Together inverse compactness and inverse solidity were adequate discriminatory features for a powerful classifier that distinguished Gleason grade 3 from grade 4/5 histology. The classifier was robust on sensitivity analysis. CONCLUSIONS: Results suggest that quantitative and interpretable measures can be obtained from image based analysis, permitting algorithmic differentiation of prostate Gleason grades. The method must be validated in a large independent series of specimens.

Authors: M. Loeffler, L. Greulich, P. Scheibe, P. Kahl, Z. Shaikhibrahim, U. D. Braumann, J. P. Kuska, N. Wernert

Date Published: 20th Mar 2012

Publication Type: Not specified

Human Diseases: prostate cancer

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