OBJECTIVE: The objective of this study was to examine the clinicopathologic correlates of T-regulatory (T(reg)) cell infiltration in serous ovarian cancers and to define gene signatures associated with high T(reg)s. METHODS: Tumor infiltrating T(reg) and cytotoxic T-cells (CTLs) were quantitated in 232 primary serous ovarian cancers by immunostaining for FOXP3 and CD8. Expression microarray analysis was performed in a subset of 48 advanced cancers with the highest and lowest numbers of infiltrating T(reg)s and a genomic signature was developed using binary regression. ANOVA analysis was performed to assess the most differentially expressed genes and these genes were further assessed using Ingenuity Pathway Analysis (IPA) software. RESULTS: High T(reg) infiltration in ovarian cancers was associated with high grade (p<0.0001), advanced stage (p=0.004) and suboptimal debulking (p<0.04), but not with survival. In contrast, high tumor infiltrating CD8 CTL infiltration was associated with favorable survival (median survival 48.7 vs. 34.6 months, p=0.01). A microarray-based genomic signature for high tumor-infiltrating T(reg) cells had a 77% predictive accuracy using leave-one-out cross-validation. ANOVA of microarray data revealed the antigen presentation pathway as the most differentially expressed canonical pathway (p<0.00001) between cancers with high and low T(reg) cells. CONCLUSIONS: These data suggest that there may be an association between increased T(reg) cell infiltration in ovarian cancers and advanced stage. Increased T(reg) infiltration is characterized by a genomic signature enriched with several immunologic pathway genes. Therapeutic strategies that reduce tumor infiltrating T(reg) cells are under investigation and may prove useful in ovarian cancers with high numbers of these cells.
OBJECTIVE: The objective of this study was to examine the clinicopathologic correlates of T-regulatory (T(reg)) cell infiltration in serous ovarian cancers and to define gene signatures associated with high T(reg)s. METHODS:Tumor infiltrating T(reg) and cytotoxic T-cells (CTLs) were quantitated in 232 primary serous ovarian cancers by immunostaining for FOXP3 and CD8. Expression microarray analysis was performed in a subset of 48 advanced cancers with the highest and lowest numbers of infiltrating T(reg)s and a genomic signature was developed using binary regression. ANOVA analysis was performed to assess the most differentially expressed genes and these genes were further assessed using Ingenuity Pathway Analysis (IPA) software. RESULTS: High T(reg) infiltration in ovarian cancers was associated with high grade (p<0.0001), advanced stage (p=0.004) and suboptimal debulking (p<0.04), but not with survival. In contrast, high tumor infiltrating CD8 CTL infiltration was associated with favorable survival (median survival 48.7 vs. 34.6 months, p=0.01). A microarray-based genomic signature for high tumor-infiltrating T(reg) cells had a 77% predictive accuracy using leave-one-out cross-validation. ANOVA of microarray data revealed the antigen presentation pathway as the most differentially expressed canonical pathway (p<0.00001) between cancers with high and low T(reg) cells. CONCLUSIONS: These data suggest that there may be an association between increased T(reg) cell infiltration in ovarian cancers and advanced stage. Increased T(reg) infiltration is characterized by a genomic signature enriched with several immunologic pathway genes. Therapeutic strategies that reduce tumor infiltrating T(reg) cells are under investigation and may prove useful in ovarian cancers with high numbers of these cells.
Authors: Shona Hendry; Roberto Salgado; Thomas Gevaert; Prudence A Russell; Tom John; Bibhusal Thapa; Michael Christie; Koen van de Vijver; M V Estrada; Paula I Gonzalez-Ericsson; Melinda Sanders; Benjamin Solomon; Cinzia Solinas; Gert G G M Van den Eynden; Yves Allory; Matthias Preusser; Johannes Hainfellner; Giancarlo Pruneri; Andrea Vingiani; Sandra Demaria; Fraser Symmans; Paolo Nuciforo; Laura Comerma; E A Thompson; Sunil Lakhani; Seong-Rim Kim; Stuart Schnitt; Cecile Colpaert; Christos Sotiriou; Stefan J Scherer; Michail Ignatiadis; Sunil Badve; Robert H Pierce; Giuseppe Viale; Nicolas Sirtaine; Frederique Penault-Llorca; Tomohagu Sugie; Susan Fineberg; Soonmyung Paik; Ashok Srinivasan; Andrea Richardson; Yihong Wang; Ewa Chmielik; Jane Brock; Douglas B Johnson; Justin Balko; Stephan Wienert; Veerle Bossuyt; Stefan Michiels; Nils Ternes; Nicole Burchardi; Stephen J Luen; Peter Savas; Frederick Klauschen; Peter H Watson; Brad H Nelson; Carmen Criscitiello; Sandra O'Toole; Denis Larsimont; Roland de Wind; Giuseppe Curigliano; Fabrice André; Magali Lacroix-Triki; Mark van de Vijver; Federico Rojo; Giuseppe Floris; Shahinaz Bedri; Joseph Sparano; David Rimm; Torsten Nielsen; Zuzana Kos; Stephen Hewitt; Baljit Singh; Gelareh Farshid; Sibylle Loibl; Kimberly H Allison; Nadine Tung; Sylvia Adams; Karen Willard-Gallo; Hugo M Horlings; Leena Gandhi; Andre Moreira; Fred Hirsch; Maria V Dieci; Maria Urbanowicz; Iva Brcic; Konstanty Korski; Fabien Gaire; Hartmut Koeppen; Amy Lo; Jennifer Giltnane; Marlon C Rebelatto; Keith E Steele; Jiping Zha; Kenneth Emancipator; Jonathan W Juco; Carsten Denkert; Jorge Reis-Filho; Sherene Loi; Stephen B Fox Journal: Adv Anat Pathol Date: 2017-11 Impact factor: 3.875
Authors: Bridget Charbonneau; Ellen L Goode; Kimberly R Kalli; Keith L Knutson; Melissa S Derycke Journal: Crit Rev Immunol Date: 2013 Impact factor: 2.214
Authors: Reza Nejati; Jennifer B Goldstein; Daniel M Halperin; Hua Wang; Nazila Hejazi; Asif Rashid; Matthew H Katz; Jeffrey E Lee; Jason B Fleming; Jaime Rodriguez-Canales; Jorge Blando; Ignacio I Wistuba; Anirban Maitra; Robert A Wolff; Gauri R Varadhachary; Huamin Wang Journal: Pancreas Date: 2017-10 Impact factor: 3.327
Authors: N Leffers; R S N Fehrmann; M J M Gooden; U R J Schulze; K A Ten Hoor; H Hollema; H M Boezen; T Daemen; S de Jong; H W Nijman; A G J van der Zee Journal: Br J Cancer Date: 2010-07-27 Impact factor: 7.640