Prognostic value of various immune cells and Immunoscore in triple-negative breast cancer
This study aimed to evaluate the expression status and prognostic role of various immunoregulatory cells and test in triple-negative breast cancer (TNBC). The expression of five markers (CD3/CD4/CD8/CD19/CD163) of tumor immune cells was evaluated retrospectively in tumor sections from 68 consecutive...
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Published in | Frontiers in immunology Vol. 14; p. 1137561 |
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Abstract | This study aimed to evaluate the expression status and prognostic role of various immunoregulatory cells and test in triple-negative breast cancer (TNBC).
The expression of five markers (CD3/CD4/CD8/CD19/CD163) of tumor immune cells was evaluated retrospectively in tumor sections from 68 consecutive cases of TNBC by immunohistochemistry. Computational image analysis was used to quantify the density and distribution of each immune marker within the tumor region, tumor invasive margin, and expression hotspots. Immunoscores were calculated using an automated approach. Other clinical characteristics were also analyzed.
For all patients, Kaplan-Meier survival analysis showed that high CD3+ signals in the tumor region (disease-free survival (DFS),
=0.0014; overall survival (OS),
0.0031) and total region (DFS,
0.0014; OS,
0.0031) were significantly associated with better survival. High CD4+ levels in the tumor region and total regions were significantly associated with better survival (
0.05). For Hotspot analysis, CD3+ was associated with significantly better survival for all Top1, Top2, and Top3 densities (DFS and OS,
0.05). High CD4+ levels were significantly associated with better prognosis for Top1 and Top3 densities (DFS and OS,
0.05). For stage IIB and IIIC patients, CD3+ in the tumor region and all Top hotspots was found to be significantly correlated with survival (DFS and OS,
0.05). CD4+ cells were significantly associated with survival in the tumor region, total region, and Top3 density (DFS,
0.0213; OS,
0.0728). CD8+ cells were significantly associated with survival in the invasive margin, Top2 density, and Top3 density. Spatial parameter analysis showed that high colocalization of tumor cells and immune cells (CD3+, CD4+, or CD8+) was significantly associated with patient survival.
Computational image analysis is a reliable tool for evaluating the density and distribution of immune regulatory cells and for calculating the Immunoscore in TNBC. The Immunoscore retains its prognostic significance in TNBC later than IIB stage breast cancer. Future studies are required to confirm its potential to predict tumor responses to chemotherapy and immune therapy. |
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AbstractList | This study aimed to evaluate the expression status and prognostic role of various immunoregulatory cells and test in triple-negative breast cancer (TNBC).
The expression of five markers (CD3/CD4/CD8/CD19/CD163) of tumor immune cells was evaluated retrospectively in tumor sections from 68 consecutive cases of TNBC by immunohistochemistry. Computational image analysis was used to quantify the density and distribution of each immune marker within the tumor region, tumor invasive margin, and expression hotspots. Immunoscores were calculated using an automated approach. Other clinical characteristics were also analyzed.
For all patients, Kaplan-Meier survival analysis showed that high CD3+ signals in the tumor region (disease-free survival (DFS),
=0.0014; overall survival (OS),
0.0031) and total region (DFS,
0.0014; OS,
0.0031) were significantly associated with better survival. High CD4+ levels in the tumor region and total regions were significantly associated with better survival (
0.05). For Hotspot analysis, CD3+ was associated with significantly better survival for all Top1, Top2, and Top3 densities (DFS and OS,
0.05). High CD4+ levels were significantly associated with better prognosis for Top1 and Top3 densities (DFS and OS,
0.05). For stage IIB and IIIC patients, CD3+ in the tumor region and all Top hotspots was found to be significantly correlated with survival (DFS and OS,
0.05). CD4+ cells were significantly associated with survival in the tumor region, total region, and Top3 density (DFS,
0.0213; OS,
0.0728). CD8+ cells were significantly associated with survival in the invasive margin, Top2 density, and Top3 density. Spatial parameter analysis showed that high colocalization of tumor cells and immune cells (CD3+, CD4+, or CD8+) was significantly associated with patient survival.
Computational image analysis is a reliable tool for evaluating the density and distribution of immune regulatory cells and for calculating the Immunoscore in TNBC. The Immunoscore retains its prognostic significance in TNBC later than IIB stage breast cancer. Future studies are required to confirm its potential to predict tumor responses to chemotherapy and immune therapy. This study aimed to evaluate the expression status and prognostic role of various immunoregulatory cells and test in triple-negative breast cancer (TNBC).BackgroundThis study aimed to evaluate the expression status and prognostic role of various immunoregulatory cells and test in triple-negative breast cancer (TNBC).The expression of five markers (CD3/CD4/CD8/CD19/CD163) of tumor immune cells was evaluated retrospectively in tumor sections from 68 consecutive cases of TNBC by immunohistochemistry. Computational image analysis was used to quantify the density and distribution of each immune marker within the tumor region, tumor invasive margin, and expression hotspots. Immunoscores were calculated using an automated approach. Other clinical characteristics were also analyzed.MethodsThe expression of five markers (CD3/CD4/CD8/CD19/CD163) of tumor immune cells was evaluated retrospectively in tumor sections from 68 consecutive cases of TNBC by immunohistochemistry. Computational image analysis was used to quantify the density and distribution of each immune marker within the tumor region, tumor invasive margin, and expression hotspots. Immunoscores were calculated using an automated approach. Other clinical characteristics were also analyzed.For all patients, Kaplan-Meier survival analysis showed that high CD3+ signals in the tumor region (disease-free survival (DFS), P=0.0014; overall survival (OS), P=0.0031) and total region (DFS, P=0.0014; OS, P=0.0031) were significantly associated with better survival. High CD4+ levels in the tumor region and total regions were significantly associated with better survival (P<0.05). For Hotspot analysis, CD3+ was associated with significantly better survival for all Top1, Top2, and Top3 densities (DFS and OS, P<0.05). High CD4+ levels were significantly associated with better prognosis for Top1 and Top3 densities (DFS and OS, P<0.05). For stage IIB and IIIC patients, CD3+ in the tumor region and all Top hotspots was found to be significantly correlated with survival (DFS and OS, P<0.05). CD4+ cells were significantly associated with survival in the tumor region, total region, and Top3 density (DFS, P=0.0213; OS, P=0.0728). CD8+ cells were significantly associated with survival in the invasive margin, Top2 density, and Top3 density. Spatial parameter analysis showed that high colocalization of tumor cells and immune cells (CD3+, CD4+, or CD8+) was significantly associated with patient survival.ResultsFor all patients, Kaplan-Meier survival analysis showed that high CD3+ signals in the tumor region (disease-free survival (DFS), P=0.0014; overall survival (OS), P=0.0031) and total region (DFS, P=0.0014; OS, P=0.0031) were significantly associated with better survival. High CD4+ levels in the tumor region and total regions were significantly associated with better survival (P<0.05). For Hotspot analysis, CD3+ was associated with significantly better survival for all Top1, Top2, and Top3 densities (DFS and OS, P<0.05). High CD4+ levels were significantly associated with better prognosis for Top1 and Top3 densities (DFS and OS, P<0.05). For stage IIB and IIIC patients, CD3+ in the tumor region and all Top hotspots was found to be significantly correlated with survival (DFS and OS, P<0.05). CD4+ cells were significantly associated with survival in the tumor region, total region, and Top3 density (DFS, P=0.0213; OS, P=0.0728). CD8+ cells were significantly associated with survival in the invasive margin, Top2 density, and Top3 density. Spatial parameter analysis showed that high colocalization of tumor cells and immune cells (CD3+, CD4+, or CD8+) was significantly associated with patient survival.Computational image analysis is a reliable tool for evaluating the density and distribution of immune regulatory cells and for calculating the Immunoscore in TNBC. The Immunoscore retains its prognostic significance in TNBC later than IIB stage breast cancer. Future studies are required to confirm its potential to predict tumor responses to chemotherapy and immune therapy.ConclusionComputational image analysis is a reliable tool for evaluating the density and distribution of immune regulatory cells and for calculating the Immunoscore in TNBC. The Immunoscore retains its prognostic significance in TNBC later than IIB stage breast cancer. Future studies are required to confirm its potential to predict tumor responses to chemotherapy and immune therapy. BackgroundThis study aimed to evaluate the expression status and prognostic role of various immunoregulatory cells and test in triple-negative breast cancer (TNBC).MethodsThe expression of five markers (CD3/CD4/CD8/CD19/CD163) of tumor immune cells was evaluated retrospectively in tumor sections from 68 consecutive cases of TNBC by immunohistochemistry. Computational image analysis was used to quantify the density and distribution of each immune marker within the tumor region, tumor invasive margin, and expression hotspots. Immunoscores were calculated using an automated approach. Other clinical characteristics were also analyzed.ResultsFor all patients, Kaplan–Meier survival analysis showed that high CD3+ signals in the tumor region (disease-free survival (DFS), P=0.0014; overall survival (OS), P=0.0031) and total region (DFS, P=0.0014; OS, P=0.0031) were significantly associated with better survival. High CD4+ levels in the tumor region and total regions were significantly associated with better survival (P<0.05). For Hotspot analysis, CD3+ was associated with significantly better survival for all Top1, Top2, and Top3 densities (DFS and OS, P<0.05). High CD4+ levels were significantly associated with better prognosis for Top1 and Top3 densities (DFS and OS, P<0.05). For stage IIB and IIIC patients, CD3+ in the tumor region and all Top hotspots was found to be significantly correlated with survival (DFS and OS, P<0.05). CD4+ cells were significantly associated with survival in the tumor region, total region, and Top3 density (DFS, P=0.0213; OS, P=0.0728). CD8+ cells were significantly associated with survival in the invasive margin, Top2 density, and Top3 density. Spatial parameter analysis showed that high colocalization of tumor cells and immune cells (CD3+, CD4+, or CD8+) was significantly associated with patient survival.ConclusionComputational image analysis is a reliable tool for evaluating the density and distribution of immune regulatory cells and for calculating the Immunoscore in TNBC. The Immunoscore retains its prognostic significance in TNBC later than IIB stage breast cancer. Future studies are required to confirm its potential to predict tumor responses to chemotherapy and immune therapy. |
Author | Wu, Huanwen Liang, Zhiyong Ren, Xinyu Pang, Junyi Zhou, Liangrui Chen, Longyun Song, Yu |
AuthorAffiliation | 2 Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College , Beijing , China 1 Department of Pathology, State Key Laboratory of Complex Severe and Rare Disease, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing , China |
AuthorAffiliation_xml | – name: 1 Department of Pathology, State Key Laboratory of Complex Severe and Rare Disease, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing , China – name: 2 Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College , Beijing , China |
Author_xml | – sequence: 1 givenname: Xinyu surname: Ren fullname: Ren, Xinyu – sequence: 2 givenname: Yu surname: Song fullname: Song, Yu – sequence: 3 givenname: Junyi surname: Pang fullname: Pang, Junyi – sequence: 4 givenname: Longyun surname: Chen fullname: Chen, Longyun – sequence: 5 givenname: Liangrui surname: Zhou fullname: Zhou, Liangrui – sequence: 6 givenname: Zhiyong surname: Liang fullname: Liang, Zhiyong – sequence: 7 givenname: Huanwen surname: Wu fullname: Wu, Huanwen |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37090736$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1038/s41467-022-28524-0 10.1002/ctm2.4 10.1097/PAP.0000000000000162 10.3390/ijms21186968 10.1038/s41467-022-29366-6 10.1038/s41467-017-00627-z 10.1158/0008-5472.CAN-20-3773 10.1186/s13058-016-0737-x 10.1007/978-3-319-67577-0_3 10.1007/s00432-019-03036-5 10.18632/oncotarget.16758 10.1093/jnci/djw192 10.1136/esmoopen-2017-000255 10.1186/s40425-017-0240-7 10.1097/SLA.0000000000002116 10.3389/fimmu.2018.02028 10.1007/s00428-020-02855-z 10.1038/modpathol.2017.156 10.1200/JCO.2009.23.7370 10.1038/s41598-017-05538-z 10.1073/pnas.1817652116 10.1016/j.clbc.2018.04.019 10.3390/cancers12103038 10.1093/intimm/dxw021 10.1016/S1470-2045(17)30904-X 10.1016/j.immuni.2013.10.003 10.1186/bcr3148 10.1101/cshperspect.a026583 10.1038/nm.3488 10.1186/s12885-021-08009-x 10.1007/s12282-021-01227-y 10.1038/s41598-019-38625-4 10.1016/j.cell.2011.02.013 10.3389/fphys.2020.583333 10.1053/j.gastro.2009.06.053 10.3892/ol.2020.12000 10.1172/jci.insight.126556 10.1038/nrclinonc.2015.215 10.1145/146370.146374 10.1007/s13277-016-5010-5 10.1007/s00262-016-1908-4 |
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Copyright | Copyright © 2023 Ren, Song, Pang, Chen, Zhou, Liang and Wu. Copyright © 2023 Ren, Song, Pang, Chen, Zhou, Liang and Wu 2023 Ren, Song, Pang, Chen, Zhou, Liang and Wu |
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Keywords | triple-negative breast cancer immunohistochemical staining immune microenvironment image registration Immunoscore |
Language | English |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Mohamed Hosney, Cairo University, Egypt; Ashraf Bakkar, MSA University, Egypt These authors have contributed equally to this work and share first authorship Edited by: Hossam Taha Mohamed, October University for Modern Sciences and Arts, Egypt These authors have contributed equally to this work and share last authorship This article was submitted to Cancer Immunity and Immunotherapy, a section of the journal Frontiers in Immunology |
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References | Feng (B6) 2017; 7 Fehlings (B10) 2017; 8 Ren (B14) 2016; 37 McIntire (B40) 2018; 18 Angelo (B23) 2014; 20 Bindea (B24) 2013; 39 Savas (B3) 2016; 13 Mani (B4) 2016; 18 Denkert (B2) 2010; 28 Fortis (B41) 2017; 5 Gomez-Macias (B28) 2020; 20 Hendry (B13) 2017; 24 Sinicrope (B26) 2009; 137 Vihervuori (B35) 2019; 145 Harris (B37) 2021; 81 Hanahan (B17) 2011; 144 Mould (B18) 2019; 4 Jamiyan (B38) 2020; 477 Qi (B7) 2022; 13 Asleh (B20) 2022; 13 Solinas (B16) 2017; 2 Brown (B21) 1992; 24 Oshi (B29) 2020; 12 Kuroda (B36) 2021; 28 Mi (B25) 2020; 11 Liu (B33) 2012; 14 Church (B42) 2017; 1036 Alieva (B31) 2019; 9 Kuroda (B30) 2021; 21 Ancuta (B27) 2009; 50 Bense (B11) 2017; 109 Denkert (B1) 2018; 19 Obeid (B9) 2017; 66 Jiang (B8) 2018; 267 Shi (B5) 2017; 8 Foulds (B39) 2018; 9 Zou (B19) 2020; 10 Taube (B15) 2018; 31 Yuan (B22) 2016; 6 Li (B32) 2019; 116 Kirilovsky (B12) 2016; 28 Oshi (B34) 2020; 21 |
References_xml | – volume: 13 start-page: 896 year: 2022 ident: B20 article-title: Proteomic analysis of archival breast cancer clinical specimens identifies biological subtypes with distinct survival outcomes publication-title: Nat Commun doi: 10.1038/s41467-022-28524-0 – volume: 50 year: 2009 ident: B27 article-title: Predictive value of cellular immune response in cervical cancer publication-title: Rom J Morphol Embryol – volume: 10 year: 2020 ident: B19 article-title: A four-factor immune risk score signature predicts the clinical outcome of patients with spinal chordoma publication-title: Clin Transl Med doi: 10.1002/ctm2.4 – volume: 24 year: 2017 ident: B13 article-title: Assessing tumor-infiltrating lymphocytes in solid tumors: A practical review for pathologists and proposal for a standardized method from the international immunooncology biomarkers working group: Part 1: Assessing the host immune response, TILs in invasive breast carcinoma and ductal carcinoma in situ, metastatic tumor deposits and areas for further research publication-title: Adv Anat Pathol doi: 10.1097/PAP.0000000000000162 – volume: 21 year: 2020 ident: B34 article-title: CD8 T cell score as a prognostic biomarker for triple negative breast cancer publication-title: Int J Mol Sci doi: 10.3390/ijms21186968 – volume: 13 start-page: 1742 year: 2022 ident: B7 article-title: Single-cell and spatial analysis reveal interaction of FAP(+) fibroblasts and SPP1(+) macrophages in colorectal cancer publication-title: Nat Commun doi: 10.1038/s41467-022-29366-6 – volume: 8 start-page: 562 year: 2017 ident: B10 article-title: Checkpoint blockade immunotherapy reshapes the high-dimensional phenotypic heterogeneity of murine intratumoural neoantigen-specific CD8(+) T cells publication-title: Nat Commun doi: 10.1038/s41467-017-00627-z – volume: 81 year: 2021 ident: B37 article-title: Tumor-infiltrating b lymphocyte profiling identifies IgG-biased, clonally expanded prognostic phenotypes in triple-negative breast cancer publication-title: Cancer Res doi: 10.1158/0008-5472.CAN-20-3773 – volume: 18 start-page: 78 year: 2016 ident: B4 article-title: Quantitative assessment of the spatial heterogeneity of tumor-infiltrating lymphocytes in breast cancer publication-title: Breast Cancer Res doi: 10.1186/s13058-016-0737-x – volume: 1036 start-page: 33 year: 2017 ident: B42 article-title: Regulation of CTL infiltration within the tumor microenvironment publication-title: Adv Exp Med Biol doi: 10.1007/978-3-319-67577-0_3 – volume: 145 year: 2019 ident: B35 article-title: Tumor-infiltrating lymphocytes and CD8(+) T cells predict survival of triple-negative breast cancer publication-title: J Cancer Res Clin Oncol doi: 10.1007/s00432-019-03036-5 – volume: 8 year: 2017 ident: B5 article-title: Multi-omics study revealing the complexity and spatial heterogeneity of tumor-infiltrating lymphocytes in primary liver carcinoma publication-title: Oncotarget doi: 10.18632/oncotarget.16758 – volume: 109 year: 2017 ident: B11 article-title: Relevance of tumor-infiltrating immune cell composition and functionality for disease outcome in breast cancer publication-title: J Natl Cancer Inst doi: 10.1093/jnci/djw192 – volume: 2 year: 2017 ident: B16 article-title: Targeting immune checkpoints in breast cancer: An update of early results publication-title: ESMO Open doi: 10.1136/esmoopen-2017-000255 – volume: 5 start-page: 39 year: 2017 ident: B41 article-title: Differential intratumoral distributions of CD8 and CD163 immune cells as prognostic biomarkers in breast cancer publication-title: J Immunother Cancer doi: 10.1186/s40425-017-0240-7 – volume: 267 year: 2018 ident: B8 article-title: ImmunoScore signature: A prognostic and predictive tool in gastric cancer publication-title: Ann Surg doi: 10.1097/SLA.0000000000002116 – volume: 9 year: 2018 ident: B39 article-title: Immune-phenotyping and transcriptomic profiling of peripheral blood mononuclear cells from patients with breast cancer: Identification of a 3 gene signature which predicts relapse of triple negative breast cancer publication-title: Front Immunol doi: 10.3389/fimmu.2018.02028 – volume: 477 year: 2020 ident: B38 article-title: CD68- and CD163-positive tumor-associated macrophages in triple negative cancer of the breast publication-title: Virchows Arch doi: 10.1007/s00428-020-02855-z – volume: 31 year: 2018 ident: B15 article-title: Implications of the tumor immune microenvironment for staging and therapeutics publication-title: Mod Pathol doi: 10.1038/modpathol.2017.156 – volume: 28 year: 2010 ident: B2 article-title: Tumor-associated lymphocytes as an independent predictor of response to neoadjuvant chemotherapy in breast cancer publication-title: J Clin Oncol doi: 10.1200/JCO.2009.23.7370 – volume: 7 start-page: 6968 year: 2017 ident: B6 article-title: Heterogeneity of tumor-infiltrating lymphocytes ascribed to local immune status rather than neoantigens by multi-omics analysis of glioblastoma multiforme publication-title: Sci Rep doi: 10.1038/s41598-017-05538-z – volume: 116 year: 2019 ident: B32 article-title: Infiltration of CD8(+) T cells into tumor cell clusters in triple-negative breast cancer publication-title: Proc Natl Acad Sci USA doi: 10.1073/pnas.1817652116 – volume: 18 start-page: 451 year: 2018 ident: B40 article-title: Hot spot and whole-tumor enumeration of CD8(+) tumor-infiltrating lymphocytes utilizing digital image analysis is prognostic in triple-negative breast cancer publication-title: Clin Breast Cancer doi: 10.1016/j.clbc.2018.04.019 – volume: 12 year: 2020 ident: B29 article-title: Abundance of regulatory T cell (Treg) as a predictive biomarker for neoadjuvant chemotherapy in triple-negative breast cancer publication-title: Cancers (Basel) doi: 10.3390/cancers12103038 – volume: 28 year: 2016 ident: B12 article-title: Rational bases for the use of the immunoscore in routine clinical settings as a prognostic and predictive biomarker in cancer patients publication-title: Int Immunol doi: 10.1093/intimm/dxw021 – volume: 19 start-page: 40 year: 2018 ident: B1 article-title: Tumour-infiltrating lymphocytes and prognosis in different subtypes of breast cancer: A pooled analysis of 3771 patients treated with neoadjuvant therapy publication-title: Lancet Oncol doi: 10.1016/S1470-2045(17)30904-X – volume: 39 year: 2013 ident: B24 article-title: Spatiotemporal dynamics of intratumoral immune cells reveal the immune landscape in human cancer publication-title: Immunity doi: 10.1016/j.immuni.2013.10.003 – volume: 14 start-page: R48 year: 2012 ident: B33 article-title: CD8+ lymphocyte infiltration is an independent favorable prognostic indicator in basal-like breast cancer publication-title: Breast Cancer Res doi: 10.1186/bcr3148 – volume: 6 year: 2016 ident: B22 article-title: Spatial heterogeneity in the tumor microenvironment publication-title: Cold Spring Harb Perspect Med doi: 10.1101/cshperspect.a026583 – volume: 20 year: 2014 ident: B23 article-title: Multiplexed ion beam imaging of human breast tumors publication-title: Nat Med doi: 10.1038/nm.3488 – volume: 21 start-page: 286 year: 2021 ident: B30 article-title: Tumor-infiltrating b cells and T cells correlate with postoperative prognosis in triple-negative carcinoma of the breast publication-title: BMC Cancer doi: 10.1186/s12885-021-08009-x – volume: 28 year: 2021 ident: B36 article-title: Prognostic value of tumor-infiltrating b lymphocytes and plasma cells in triple-negative breast cancer publication-title: Breast Cancer doi: 10.1007/s12282-021-01227-y – volume: 9 start-page: 2054 year: 2019 ident: B31 article-title: Intravital imaging of glioma border morphology reveals distinctive cellular dynamics and contribution to tumor cell invasion publication-title: Sci Rep doi: 10.1038/s41598-019-38625-4 – volume: 144 year: 2011 ident: B17 article-title: Hallmarks of cancer: The next generation publication-title: Cell doi: 10.1016/j.cell.2011.02.013 – volume: 11 year: 2020 ident: B25 article-title: Cimino-Mathews AM and popel AS. digital pathology analysis quantifies spatial heterogeneity of CD3, CD4, CD8, CD20, and FoxP3 immune markers in triple-negative breast cancer publication-title: Front Physiol doi: 10.3389/fphys.2020.583333 – volume: 137 year: 2009 ident: B26 article-title: Intraepithelial effector (CD3+)/regulatory (FoxP3+) T-cell ratio predicts a clinical outcome of human colon carcinoma publication-title: Gastroenterology doi: 10.1053/j.gastro.2009.06.053 – volume: 20 start-page: 140 year: 2020 ident: B28 article-title: Immunotyping of tumor-infiltrating lymphocytes in triple-negative breast cancer and genetic characterization publication-title: Oncol Lett doi: 10.3892/ol.2020.12000 – volume: 4 year: 2019 ident: B18 article-title: Single cell RNA sequencing identifies unique inflammatory airspace macrophage subsets publication-title: JCI Insight doi: 10.1172/jci.insight.126556 – volume: 13 year: 2016 ident: B3 article-title: Clinical relevance of host immunity in breast cancer: from TILs to the clinic publication-title: Nat Rev Clin Oncol doi: 10.1038/nrclinonc.2015.215 – volume: 24 year: 1992 ident: B21 article-title: A survey of image registration techniques publication-title: ACM Comput Surv doi: 10.1145/146370.146374 – volume: 37 year: 2016 ident: B14 article-title: C-met and ERβ expression differences in basal-like and non-basal-like triple-negative breast cancer publication-title: Tumour Biol doi: 10.1007/s13277-016-5010-5 – volume: 66 start-page: 33 year: 2017 ident: B9 article-title: Heterogeneity of CD8(+) tumor-infiltrating lymphocytes in non-small-cell lung cancer: Impact on patient prognostic assessments and comparison of quantification by different sampling strategies publication-title: Cancer Immunol Immunother doi: 10.1007/s00262-016-1908-4 |
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Snippet | This study aimed to evaluate the expression status and prognostic role of various immunoregulatory cells and test in triple-negative breast cancer (TNBC).
The... This study aimed to evaluate the expression status and prognostic role of various immunoregulatory cells and test in triple-negative breast cancer... BackgroundThis study aimed to evaluate the expression status and prognostic role of various immunoregulatory cells and test in triple-negative breast cancer... |
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SubjectTerms | CD8-Positive T-Lymphocytes Humans image registration immune microenvironment immunohistochemical staining Immunology Immunoscore Lymphocytes, Tumor-Infiltrating Prognosis Retrospective Studies Triple Negative Breast Neoplasms triple-negative breast cancer |
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Title | Prognostic value of various immune cells and Immunoscore in triple-negative breast cancer |
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