Cited by 1,687

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Stromal gene expression predicts clinical outcome in breast cancer

Finak, Greg, Bertos, Nicholas, Pepin, Francois, Sadekova, Svetlana, Souleimanova, Margarita, Zhao, Hong, Chen, Haiying, Omeroglu, Gulbeyaz, Meterissian, Sarkis, Omeroglu, Atilla, Hallett, Michael, Park, Morag·2008·Nature Medicine

DOI 10.1038/nm1764

Open this paper in CoChat — free account

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1038/nm1764

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
M-1/M-2 Macrophages and the Th1/Th2 Paradigm
Mills, C. D., Kincaid, K., Alt, J. M., Heilman, M. J., & Hill, A. M. (2000) · The Journal of Immunology · doi:10.4049/jimmunol.164.12.6166 · Cited by 3,287
Effector Memory T Cells, Early Metastasis, and Survival in Colorectal Cancer
Pagès, F., Berger, A., Camus, M., Sanchez-Cabo, F., Costes, A., Molidor, R., Mlecnik, B., Kirilovsky, A., Nilsson, M., Damotte, D., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa051424 · Cited by 2,135
Interferons, immunity and cancer immunoediting
Dunn, G. P., Koebel, C. M., & Schreiber, R. D. (2006) · Nature Reviews Immunology · doi:10.1038/nri1961 · Cited by 1,617
Molecular characterization of the tumor microenvironment in breast cancer
Allinen, M., Beroukhim, R., Cai, L., Brennan, C., Lahti-Domenici, J., Huang, H., Porter, D., Hu, M., Chin, L., Richardson, A., et al. (2004) · Cancer Cell · doi:10.1016/j.ccr.2004.06.010 · Cited by 1,299

Show all 7 references

Accessories to the Crime: Functions of Cells Recruited to the Tumor Microenvironment
Hanahan, D., & Coussens, L. M. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.02.022 · Cited by 4,632
The biology and function of fibroblasts in cancer
Kalluri, R. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.73 · Cited by 4,366
Tumor Metastasis: Molecular Insights and Evolving Paradigms
Valastyan, S., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.09.024 · Cited by 4,011
Influence of tumour micro-environment heterogeneity on therapeutic response
Junttila, M. R., & de Sauvage, F. J. (2013) · Nature · doi:10.1038/nature12626 · Cited by 2,694
Leukocyte Complexity Predicts Breast Cancer Survival and Functionally Regulates Response to Chemotherapy
DeNardo, D. G., Brennan, D. J., Rexhepaj, E., Ruffell, B., Shiao, S. L., Madden, S. F., Gallagher, W. M., Wadhwani, N., Keil, S. D., Junaid, S. A., et al. (2011) · Cancer Discovery · doi:10.1158/2159-8274.cd-10-0028 · Cited by 1,715
Fibroblast Heterogeneity and Immunosuppressive Environment in Human Breast Cancer
Costa, A., Kieffer, Y., Scholer-Dahirel, A., Pelon, F., Bourachot, B., Cardon, M., Sirven, P., Magagna, I., Fuhrmann, L., Bernard, C., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.01.011 · Cited by 1,705
Hypoxia and the extracellular matrix: drivers of tumour metastasis
Gilkes, D. M., Semenza, G. L., & Wirtz, D. (2014) · Nature Reviews Cancer · doi:10.1038/nrc3726 · Cited by 1,520
Cancer-Associated Fibroblasts Are Activated in Incipient Neoplasia to Orchestrate Tumor-Promoting Inflammation in an NF-κB-Dependent Manner
Erez, N., Truitt, M., Olson, P., & Hanahan, D. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.041 · Cited by 1,515
Mechanotransduction and YAP-dependent matrix remodelling is required for the generation and maintenance of cancer-associated fibroblasts
Calvo, F., Ege, N., Grande-Garcia, A., Hooper, S., Jenkins, R. P., Chaudhry, S. I., Harrington, K., Williamson, P., Moeendarbary, E., Charras, G., et al. (2013) · Nature Cell Biology · doi:10.1038/ncb2756 · Cited by 1,478
Targeting the tumour stroma to improve cancer therapy
Valkenburg, K. C., de Groot, A. E., & Pienta, K. J. (2018) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-018-0007-1 · Cited by 1,084
Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer
Chung, W., Eum, H. H., Lee, H.-O., Lee, K.-M., Lee, H.-B., Kim, K.-T., Ryu, H. S., Kim, S., Lee, J. E., Park, Y. H., et al. (2017) · Nature Communications · doi:10.1038/ncomms15081 · Cited by 992
“Micro-environmental gene expression signatures may themselves present prognostic values independent of the intrinsic tumour subtype 8–10 .”
Environment-mediated drug resistance: A major contributor to minimal residual disease
Meads, M. B., Gatenby, R. A., & Dalton, W. S. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2714 · Cited by 892
Macrophage polarization in pathology
Sica, A., Erreni, M., Allavena, P., & Porta, C. (2015) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-015-1995-y · Cited by 673
Stromal cells in tumor microenvironment and breast cancer
Mao, Y., Keller, E. T., Garfield, D. H., Shen, K., & Wang, J. (2013) · Cancer and Metastasis Reviews · doi:10.1007/s10555-012-9415-3 · Cited by 671
Targeting stromal remodeling and cancer stem cell plasticity overcomes chemoresistance in triple negative breast cancer
Cazet, A. S., Hui, M. N., Elsworth, B. L., Wu, S. Z., Roden, D., Chan, C.-L., Skhinas, J. N., Collot, R., Yang, J., Harvey, K., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05220-6 · Cited by 437
The Reprogramming of Tumor Stroma by HSF1 Is a Potent Enabler of Malignancy
Scherz-Shouval, R., Santagata, S., Mendillo, M. L., Sholl, L. M., Ben-Aharon, I., Beck, A. H., Dias-Santagata, D., Koeva, M., Stemmer, S. M., Whitesell, L., et al. (2014) · Cell · doi:10.1016/j.cell.2014.05.045 · Cited by 386
Single-cell RNA sequencing reveals compromised immune microenvironment in precursor stages of multiple myeloma
Zavidij, O., Haradhvala, N. J., Mouhieddine, T. H., Sklavenitis-Pistofidis, R., Cai, S., Reidy, M., Rahmat, M., Flaifel, A., Ferland, B., Su, N. K., et al. (2020) · Nature Cancer · doi:10.1038/s43018-020-0053-3 · Cited by 374
IGF-I induced genes in stromal fibroblasts predict the clinical outcome of breast and lung cancer patients
Rajski, M., Zanetti-Dällenbach, R., Vogel, B., Herrmann, R., Rochlitz, C., & Buess, M. (2010) · BMC Medicine · doi:10.1186/1741-7015-8-1 · Cited by 355
Oxidative stress promotes myofibroblast differentiation and tumour spreading
Toullec, A., Gerald, D., Despouy, G., Bourachot, B., Cardon, M., Lefort, S., Richardson, M., Rigaill, G., Parrini, M., Lucchesi, C., et al. (2010) · EMBO Molecular Medicine · doi:10.1002/emmm.201000073 · Cited by 339
Spatial Heterogeneity in the Tumor Microenvironment
Yuan, Y. (2016) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a026583 · Cited by 342
Cancer-associated fibroblasts in tumor microenvironment–Accomplices in tumor malignancy
Liao, Z., Tan, Z. W., Zhu, P., & Tan, N. S. (2019) · Cellular Immunology · doi:10.1016/j.cellimm.2017.12.003 · Cited by 335
Prognostic relevance of cancer-associated fibroblasts in human cancer
Paulsson, J., & Micke, P. (2014) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2014.02.006 · Cited by 275
Role of cancer‐associated fibroblast subpopulations in immune infiltration, as a new means of treatment in cancer
Mhaidly, R., & Mechta‐Grigoriou, F. (2021) · Immunological Reviews · doi:10.1111/imr.12978 · Cited by 231
A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters
Demircioğlu, D., Cukuroglu, E., Kindermans, M., Nandi, T., Calabrese, C., Fonseca, N. A., Kahles, A., Lehmann, K.-V., Stegle, O., Brazma, A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.08.018 · Cited by 250
Paracrine Signaling by Platelet-Derived Growth Factor-CC Promotes Tumor Growth by Recruitment of Cancer-Associated Fibroblasts
Anderberg, C., Li, H., Fredriksson, L., Andrae, J., Betsholtz, C., Li, X., Eriksson, U., & Pietras, K. (2009) · Cancer Research · doi:10.1158/0008-5472.can-08-2724 · Cited by 249
Histone demethylase JMJD2C is a coactivator for hypoxia-inducible factor 1 that is required for breast cancer progression
Luo, W., Chang, R., Zhong, J., Pandey, A., & Semenza, G. L. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1217394109 · Cited by 228
CD36 Repression Activates a Multicellular Stromal Program Shared by High Mammographic Density and Tumor Tissues
DeFilippis, R. A., Chang, H., Dumont, N., Rabban, J. T., Chen, Y.-Y., Fontenay, G. V., Berman, H. K., Gauthier, M. L., Zhao, J., Hu, D., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0107 · Cited by 212
Breast Fibroblasts Modulate Early Dissemination, Tumorigenesis, and Metastasis through Alteration of Extracellular Matrix Characteristics
Dumont, N., Liu, B., DeFilippis, R. A., Chang, H., Rabban, J. T., Karnezis, A. N., Tjoe, J. A., Marx, J., Parvin, B., & Tlsty, T. D. (2013) · Neoplasia · doi:10.1593/neo.121950 · Cited by 192
HMGA2 as a Critical Regulator in Cancer Development
Mansoori, B., Mohammadi, A., Ditzel, H. J., Duijf, P. H. G., Khaze, V., Gjerstorff, M. F., & Baradaran, B. (2021) · Genes · doi:10.3390/genes12020269 · Cited by 201
Chromatin Remodeling Underlies the Senescence-Associated Secretory Phenotype of Tumor Stromal Fibroblasts That Supports Cancer Progression
Pazolli, E., Alspach, E., Milczarek, A., Prior, J., Piwnica-Worms, D., & Stewart, S. A. (2012) · Cancer Research · doi:10.1158/0008-5472.can-11-3386 · Cited by 192
Tumour cell-derived Wnt7a recruits and activates fibroblasts to promote tumour aggressiveness
Avgustinova, A., Iravani, M., Robertson, D., Fearns, A., Gao, Q., Klingbeil, P., Hanby, A. M., Speirs, V., Sahai, E., Calvo, F., et al. (2016) · Nature Communications · doi:10.1038/ncomms10305 · Cited by 180
Chronic oxidative stress promotes H2AX protein degradation and enhances chemosensitivity in breast cancer patients
Gruosso, T., Mieulet, V., Cardon, M., Bourachot, B., Kieffer, Y., Devun, F., Dubois, T., Dutreix, M., Vincent‐Salomon, A., Miller, K. M., et al. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201505891 · Cited by 179
p38MAPK plays a crucial role in stromal-mediated tumorigenesis
Alspach, E., Flanagan, K. C., Luo, X., Ruhland, M. K., Huang, H., Pazolli, E., Donlin, M. J., Marsh, T., Piwnica-Worms, D., Monahan, J., et al. (2014) · Cancer Discovery · doi:10.1158/2159-8290.cd-13-0743 · Cited by 167
Dickkopf-3 links HSF1 and YAP/TAZ signalling to control aggressive behaviours in cancer-associated fibroblasts
Ferrari, N., Ranftl, R., Chicherova, I., Slaven, N. D., Moeendarbary, E., Farrugia, A. J., Lam, M., Semiannikova, M., Westergaard, M. C. W., Tchou, J., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-07987-0 · Cited by 164
The influence of glucocorticoid signaling on tumor progression
Volden, P. A., & Conzen, S. D. (2013) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2012.10.022 · Cited by 163
Fibroblast-derived CXCL12 promotes breast cancer metastasis by facilitating tumor cell intravasation
Ahirwar, D. K., Nasser, M. W., Ouseph, M. M., Elbaz, M., Cuitiño, M. C., Kladney, R. D., Varikuti, S., Kaul, K., Satoskar, A. R., Ramaswamy, B., et al. (2018) · Oncogene · doi:10.1038/s41388-018-0263-7 · Cited by 162
Transcription-independent ARF regulation in oncogenic stress-mediated p53 responses
Chen, D., Shan, J., Zhu, W.-G., Qin, J., & Gu, W. (2010) · Nature · doi:10.1038/nature08820 · Cited by 160
A Human Organotypic Microfluidic Tumor Model Permits Investigation of the Interplay between Patient-Derived Fibroblasts and Breast Cancer Cells
Truong, D. D., Kratz, A., Park, J. G., Barrientos, E. S., Saini, H., Nguyen, T., Pockaj, B., Mouneimne, G., LaBaer, J., & Nikkhah, M. (2019) · Cancer Research · doi:10.1158/0008-5472.can-18-2293 · Cited by 149
Cdc42EP3/BORG2 and Septin Network Enables Mechano-transduction and the Emergence of Cancer-Associated Fibroblasts
Calvo, F., Ranftl, R., Hooper, S., Farrugia, A. J., Moeendarbary, E., Bruckbauer, A., Batista, F., Charras, G., & Sahai, E. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.11.052 · Cited by 142
Interferons and the immunogenic effects of cancer therapy
Minn, A. J. (2015) · Trends in Immunology · doi:10.1016/j.it.2015.09.007 · Cited by 130
Fatty Acid-Binding Protein E-FABP Restricts Tumor Growth by Promoting IFN-β Responses in Tumor-Associated Macrophages
Zhang, Y., Sun, Y., Rao, E., Yan, F., Li, Q., Zhang, Y., Silverstein, K. A. T., Liu, S., Sauter, E., Cleary, M. P., et al. (2014) · Cancer Research · doi:10.1158/0008-5472.can-13-2689 · Cited by 129
Perivascular tenascin C triggers sequential activation of macrophages and endothelial cells to generate a pro-metastatic vascular niche in the lungs
Hongu, T., Pein, M., Insua-Rodríguez, J., Gutjahr, E., Mattavelli, G., Meier, J., Decker, K., Descot, A., Bozza, M., Harbottle, R., et al. (2022) · Nature Cancer · doi:10.1038/s43018-022-00353-6 · Cited by 118
Determinants and functions of CAFs secretome during cancer progression and therapy
Linares, J., Marín-Jiménez, J. A., Badia-Ramentol, J., & Calon, A. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.621070 · Cited by 110
Is it time for a new paradigm for systemic cancer treatment? Lessons from a century of cancer chemotherapy
Crawford, S. (2013) · Frontiers in Pharmacology · doi:10.3389/fphar.2013.00068 · Cited by 108
Metabolic fibroblast growth factors (FGFs): Mediators of energy homeostasis
Markan, K. R., & Potthoff, M. J. (2016) · Seminars in Cell & Developmental Biology · doi:10.1016/j.semcdb.2015.09.021 · Cited by 103
Caveolin-1 and Accelerated Host Aging in the Breast Tumor Microenvironment
Mercier, I., Camacho, J., Titchen, K., Gonzales, D. M., Quann, K., Bryant, K. G., Molchansky, A., Milliman, J. N., Whitaker-Menezes, D., Sotgia, F., et al. (2012) · The American Journal of Pathology · doi:10.1016/j.ajpath.2012.03.017 · Cited by 96
Potential therapeutic effect of the secretome from human uterine cervical stem cells against both cancer and stromal cells compared with adipose tissue stem cells
Eiró, N., Sendon-Lago, J., Seoane, S., Bermúdez, M. A., Lamelas, M. L., Garcia-Caballero, T., Schneider, J., Perez-Fernandez, R., & Vizoso, F. J. (2014) · Oncotarget · doi:10.18632/oncotarget.2530 · Cited by 92
Inhibition of the Stromal p38MAPK/MK2 Pathway Limits Breast Cancer Metastases and Chemotherapy-Induced Bone Loss
Murali, B., Ren, Q., Luo, X., Faget, D. V., Wang, C., Johnson, R. M., Gruosso, T., Flanagan, K. C., Fu, Y., Leahy, K., et al. (2018) · Cancer Research · doi:10.1158/0008-5472.can-18-0234 · Cited by 67
Self-citation
TGFβ and cancer metastasis: an inflammation link
Yang, L. (2010) · Cancer and Metastasis Reviews · doi:10.1007/s10555-010-9226-3 · Cited by 65
Organotypic 3D decellularized matrix tumor spheroids for high-throughput drug screening
Ferreira, L. P., Gaspar, V. M., Mendes, L., Duarte, I. F., & Mano, J. F. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.120983 · Cited by 59
Senescence and the Pro-tumorigenic Stroma
Alspach, E., Fu, Y., & Stewart, S. A. (2013) · Critical Reviews in Oncogenesis · doi:10.1615/critrevoncog.2014010630 · Cited by 47
An “elite hacker”: breast tumors exploit the normal microenvironment program to instruct their progression and biological diversity
Boudreau, A., van't Veer, L. J., & Bissell, M. J. (2012) · Cell Adhesion & Migration · doi:10.4161/cam.20880 · Cited by 43
Gene Expression Analysis of In Vitro Cocultures to Study Interactions between Breast Epithelium and Stroma
Casbas-Hernandez, P., Fleming, J. M., & Troester, M. A. (2011) · BioMed Research International · doi:10.1155/2011/520987 · Cited by 43
Densely Ionizing Radiation Acts via the Microenvironment to Promote Aggressive Trp53 -Null Mammary Carcinomas
Illa-Bochaca, I., Ouyang, H., Tang, J., Sebastiano, C., Mao, J.-H., Costes, S. V., Demaria, S., & Barcellos-Hoff, M. H. (2014) · Cancer Research · doi:10.1158/0008-5472.can-14-1212 · Cited by 29
Transitions from mono- to co- to tri-culture uniquely affect gene expression in breast cancer, stromal, and immune compartments
Regier, M. C., Maccoux, L. J., Weinberger, E. M., Regehr, K. J., Berry, S. M., Beebe, D. J., & Alarid, E. T. (2016) · Biomedical Microdevices · doi:10.1007/s10544-016-0083-x · Cited by 23

Authors: Finak, G., Bertos, N., Pepin, F., Sadekova, S., Souleimanova, M., Zhao, H., Chen, H., Omeroglu, G., Meterissian, S., Omeroglu, A., Hallett, M., & Park, M.
Venue: Nature Medicine
Publisher: Springer Science and Business Media LLC
Published: 2008-04-27
Volume: 14
Issue: 5
Pages: 518-527
ISSN: 1078-8956 (ISSN-L)
1546-170X
DOI: 10.1038/nm1764
OpenAlex: W2154453972
Cited by: 1,687
References: 7
FWCI: 34.67
Type: journal article
Language: en
Open access: closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.

Stromal gene expression predicts clinical outcome in breast cancer

Overview

Integrity signals

Verification

Claims the paper makes

Self-check

Citations

Cites

Cited by

Metadata

Record

About these checks

Data sources