Literature DB >> 33952648

Tumor-Associated Stromal Cellular Density as a Predictor of Recurrence and Mortality in Breast Cancer: Results from Ethnically Diverse Study Populations.

Montserrat Garcia-Closas1, Xiaohong Rose Yang1, Mustapha Abubakar2, Jing Zhang3, Thomas U Ahearn1, Hela Koka1, Changyuan Guo3, Scott M Lawrence4, Karun Mutreja4, Jonine D Figueroa5, Jianming Ying3, Jolanta Lissowska6, Ning Lyu3.   

Abstract

PURPOSE: Tumor-associated stroma is comprised of fibroblasts, tumor-infiltrating lymphocytes (TIL), macrophages, endothelial cells, and other cells that interactively influence tumor progression through inflammation and wound repair. Although gene-expression signatures reflecting wound repair predict breast cancer survival, it is unclear whether combined density of tumor-associated stromal cells, a morphologic proxy for inflammation and wound repair signatures on routine hematoxylin and eosin (H&E)-stained sections, is of prognostic relevance.
METHODS: By applying machine learning to digitized H&E-stained sections for 2,084 breast cancer patients from China (n = 596; 24-55 years), Poland (n = 810; 31-75 years), and the United States (n = 678; 55-78 years), we characterized tumor-associated stromal cellular density (SCD) as the percentage of tumor-stroma that is occupied by nucleated cells. Hazard ratios (HR) and 95% confidence intervals (CI) for associations between SCD and clinical outcomes [recurrence (China) and mortality (Poland and the United States)] were estimated using Cox proportional hazard regression, adjusted for clinical variables.
RESULTS: SCD was independently predictive of poor clinical outcomes in hormone receptor-positive (luminal) tumors from China [multivariable HR (95% CI)fourth(Q4) vs. first(Q1) quartile = 1.86 (1.06-3.26); P trend = 0.03], Poland [HR (95% CI)Q4 vs. Q1 = 1.80 (1.12-2.89); P trend = 0.01], and the United States [HR (95% CI)Q4 vs. Q1 = 2.42 (1.33-4.42); P trend = 0.002]. In general, SCD provided more prognostic information than most classic clinicopathologic factors, including grade, size, PR, HER2, IHC4, and TILs, predicting clinical outcomes irrespective of menopausal or lymph nodal status. SCD was not predictive of outcomes in hormone receptor-negative tumors.
CONCLUSIONS: Our findings support the independent prognostic value of tumor-associated SCD among ethnically diverse luminal breast cancer patients. IMPACT: Assessment of tumor-associated SCD on standard H&E could help refine prognostic assessment and therapeutic decision making in luminal breast cancer. ©2021 American Association for Cancer Research.

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Year:  2021        PMID: 33952648      PMCID: PMC8254774          DOI: 10.1158/1055-9965.EPI-21-0055

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  43 in total

Review 1.  Fibroblasts in cancer.

Authors:  Raghu Kalluri; Michael Zeisberg
Journal:  Nat Rev Cancer       Date:  2006-05       Impact factor: 60.716

Review 2.  Luminal breast cancer: from biology to treatment.

Authors:  Michail Ignatiadis; Christos Sotiriou
Journal:  Nat Rev Clin Oncol       Date:  2013-07-23       Impact factor: 66.675

3.  A comparison of PAM50 intrinsic subtyping with immunohistochemistry and clinical prognostic factors in tamoxifen-treated estrogen receptor-positive breast cancer.

Authors:  Torsten O Nielsen; Joel S Parker; Samuel Leung; David Voduc; Mark Ebbert; Tammi Vickery; Sherri R Davies; Jacqueline Snider; Inge J Stijleman; Jerry Reed; Maggie C U Cheang; Elaine R Mardis; Charles M Perou; Philip S Bernard; Matthew J Ellis
Journal:  Clin Cancer Res       Date:  2010-09-13       Impact factor: 12.531

4.  The Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial of the National Cancer Institute: history, organization, and status.

Authors:  J K Gohagan; P C Prorok; R B Hayes; B S Kramer
Journal:  Control Clin Trials       Date:  2000-12

5.  Tumor microenvironment of metastasis and risk of distant metastasis of breast cancer.

Authors:  Thomas E Rohan; Xiaonan Xue; Hung-Mo Lin; Timothy M D'Alfonso; Paula S Ginter; Maja H Oktay; Brian D Robinson; Mindy Ginsberg; Frank B Gertler; Andrew G Glass; Joseph A Sparano; John S Condeelis; Joan G Jones
Journal:  J Natl Cancer Inst       Date:  2014-06-03       Impact factor: 13.506

Review 6.  The microenvironment in breast cancer progression: biology and implications for treatment.

Authors:  Andrew E Place; Sung Jin Huh; Kornelia Polyak
Journal:  Breast Cancer Res       Date:  2011-11-01       Impact factor: 6.466

7.  An updated PREDICT breast cancer prognostication and treatment benefit prediction model with independent validation.

Authors:  Francisco J Candido Dos Reis; Gordon C Wishart; Ed M Dicks; David Greenberg; Jem Rashbass; Marjanka K Schmidt; Alexandra J van den Broek; Ian O Ellis; Andrew Green; Emad Rakha; Tom Maishman; Diana M Eccles; Paul D P Pharoah
Journal:  Breast Cancer Res       Date:  2017-05-22       Impact factor: 6.466

8.  Combined quantitative measures of ER, PR, HER2, and KI67 provide more prognostic information than categorical combinations in luminal breast cancer.

Authors:  Mustapha Abubakar; Jonine Figueroa; H Raza Ali; Fiona Blows; Jolanta Lissowska; Carlos Caldas; Douglas F Easton; Mark E Sherman; Montserrat Garcia-Closas; Mitch Dowsett; Paul D Pharoah
Journal:  Mod Pathol       Date:  2019-04-11       Impact factor: 7.842

9.  Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013.

Authors:  A Goldhirsch; E P Winer; A S Coates; R D Gelber; M Piccart-Gebhart; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2013-08-04       Impact factor: 32.976

Review 10.  Worse outcome in breast cancer with higher tumor-infiltrating FOXP3+ Tregs : a systematic review and meta-analysis.

Authors:  Jiafeng Shou; Zhigang Zhang; Yucheng Lai; Zhigang Chen; Jian Huang
Journal:  BMC Cancer       Date:  2016-08-26       Impact factor: 4.430

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  2 in total

1.  Mammographic Density Decline, Tamoxifen Response, and Prognosis by Molecular Characteristics of Estrogen Receptor-Positive Breast Cancer.

Authors:  Mustapha Abubakar; Maeve Mullooly; Sarah Nyante; Ruth M Pfeiffer; Erin J Aiello Bowles; Renata Cora; Clara Bodelon; Eboneé Butler; Donna Butcher; Lawrence Sternberg; Melissa A Troester; Sheila Weinmann; Mark Sherman; Andrew G Glass; Amy Berrington de Gonzalez; Gretchen L Gierach
Journal:  JNCI Cancer Spectr       Date:  2022-05-02

Review 2.  Mechanotransduction at the Plasma Membrane-Cytoskeleton Interface.

Authors:  Iván P Uray; Karen Uray
Journal:  Int J Mol Sci       Date:  2021-10-26       Impact factor: 5.923

  2 in total

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