Literature DB >> 26276891

Transcriptional Profiling of Breast Cancer Metastases Identifies Liver Metastasis-Selective Genes Associated with Adverse Outcome in Luminal A Primary Breast Cancer.

Siker Kimbung1, Ida Johansson1, Anna Danielsson2, Srinivas Veerla1, Suzanne Egyhazi Brage3, Marianne Frostvik Stolt3, Lambert Skoog3, Lena Carlsson4, Zakaria Einbeigi2, Elisabet Lidbrink3, Barbro Linderholm2, Niklas Loman5, Per-Olof Malmström5, Martin Söderberg5, Thomas M Walz6, Mårten Fernö7, Thomas Hatschek3, Ingrid Hedenfalk8.   

Abstract

PURPOSE: The complete molecular basis of the organ-specificity of metastasis is elusive. This study aimed to provide an independent characterization of the transcriptional landscape of breast cancer metastases with the specific objective to identify liver metastasis-selective genes of prognostic importance following primary tumor diagnosis. EXPERIMENTAL
DESIGN: A cohort of 304 women with advanced breast cancer was studied. Associations between the site of recurrence and clinicopathologic features were investigated. Fine-needle aspirates of metastases (n = 91) were subjected to whole-genome transcriptional profiling. Liver metastasis-selective genes were identified by significance analysis of microarray (SAM) analyses and independently validated in external datasets. Finally, the prognostic relevance of the liver metastasis-selective genes in primary breast cancer was tested.
RESULTS: Liver relapse was associated with estrogen receptor (ER) expression (P = 0.002), luminal B subtype (P = 0.01), and was prognostic for an inferior postrelapse survival (P = 0.01). The major variation in the transcriptional landscape of metastases was also associated with ER expression and molecular subtype. However, liver metastases displayed unique transcriptional fingerprints, characterized by downregulation of extracellular matrix (i.e., stromal) genes. Importantly, we identified a 17-gene liver metastasis-selective signature, which was significantly and independently prognostic for shorter relapse-free (P < 0.001) and overall (P = 0.001) survival in ER-positive tumors. Remarkably, this signature remained independently prognostic for shorter relapse-free survival (P = 0.001) among luminal A tumors.
CONCLUSIONS: Extracellular matrix (stromal) genes can be used to partition breast cancer by site of relapse and may be used to further refine prognostication in ER positive primary breast cancer. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26276891     DOI: 10.1158/1078-0432.CCR-15-0487

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  21 in total

Review 1.  Metastasis Organotropism: Redefining the Congenial Soil.

Authors:  Yang Gao; Igor Bado; Hai Wang; Weijie Zhang; Jeffrey M Rosen; Xiang H-F Zhang
Journal:  Dev Cell       Date:  2019-05-06       Impact factor: 12.270

2.  Molecular Classification of Lymph Node Metastases Subtypes Predict for Survival in Head and Neck Cancer.

Authors:  Lei Huang; Odile David; Robert J Cabay; Klara Valyi-Nagy; Virgilia Macias; Rong Zhong; Barry Wenig; Lawrence Feldman; Ralph Weichselbaum; Michael T Spiotto
Journal:  Clin Cancer Res       Date:  2018-12-20       Impact factor: 12.531

3.  Breast carcinoma subtypes show different patterns of metastatic behavior.

Authors:  István Artúr Molnár; Béla Ákos Molnár; Laura Vízkeleti; Krisztina Fekete; Judit Tamás; Péter Deák; Csilla Szundi; Borbála Székely; Judit Moldvay; Stefan Vári-Kakas; Marcell A Szász; Balázs Ács; Janina Kulka; Anna-Mária Tőkés
Journal:  Virchows Arch       Date:  2017-01-19       Impact factor: 4.064

4.  Two lncRNAs, MACC1-AS1 and UCA1, co-mediate the expression of multiple mRNAs through interaction with individual miRNAs in breast cancer cells.

Authors:  Xiaona Zhang; Yanmei Zhu; Jun-Dong Wu; Yanchun Zhou; Weibing Chen; Wei Gu
Journal:  Noncoding RNA Res       Date:  2022-07-04

5.  Successful establishment of patient-derived tumor xenografts from gastrointestinal stromal tumor-a single center experience.

Authors:  Quan Jiang; Han-Xing Tong; Yong Zhang; Ying-Yong Hou; Jing-Lei Li; Jiong-Yuan Wang; Yu-Hong Zhou; Wei-Qi Lu
Journal:  Am J Cancer Res       Date:  2016-01-15       Impact factor: 6.166

6.  HCMDB: the human cancer metastasis database.

Authors:  Guantao Zheng; Yijie Ma; Yang Zou; An Yin; Wushuang Li; Dong Dong
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

7.  Increased risk of brain metastases in women with breast cancer and p16 expression in metastatic lymph-nodes.

Authors:  Elise Furet; Morad El Bouchtaoui; Jean-Paul Feugeas; Catherine Miquel; Christophe Leboeuf; Clémentine Beytout; Philippe Bertheau; Emilie Le Rhun; Jacques Bonneterre; Anne Janin; Guilhem Bousquet
Journal:  Oncotarget       Date:  2017-06-06

Review 8.  Organotropism: new insights into molecular mechanisms of breast cancer metastasis.

Authors:  Wenjing Chen; Andrew D Hoffmann; Huiping Liu; Xia Liu
Journal:  NPJ Precis Oncol       Date:  2018-02-16

9.  Andrographolide Suppresses the Growth and Metastasis of Luminal-Like Breast Cancer by Inhibiting the NF-κB/miR-21-5p/PDCD4 Signaling Pathway.

Authors:  Junchen Li; Lixun Huang; Zinan He; Minggui Chen; Yi Ding; Yuying Yao; Youfa Duan; Li Zixuan; Cuiling Qi; Lingyun Zheng; Jiangchao Li; Rongxin Zhang; Xiaoming Li; Jianwei Dai; Lijing Wang; Qian-Qian Zhang
Journal:  Front Cell Dev Biol       Date:  2021-06-23

10.  Gene expression modules in primary breast cancers as risk factors for organotropic patterns of first metastatic spread: a case control study.

Authors:  Katherine Lawler; Efterpi Papouli; Cristina Naceur-Lombardelli; Anca Mera; Kayleigh Ougham; Andrew Tutt; Siker Kimbung; Ingrid Hedenfalk; Jun Zhan; Hongquan Zhang; Richard Buus; Mitch Dowsett; Tony Ng; Sarah E Pinder; Peter Parker; Lars Holmberg; Cheryl E Gillett; Anita Grigoriadis; Arnie Purushotham
Journal:  Breast Cancer Res       Date:  2017-10-13       Impact factor: 6.466

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