The humoral immune system has a key prognostic impact in node-negative breast cancer.

By Marcus Schmidt, D. Böhm, C. von Törne, E. Steiner, A. Puhl, H. Pilch, H. Lehr, J. Hengstler, H. Kölbl, M. Gehrmann. Cancer Research, 2008

781 citations recorded by the source corpus.

Subfields: Cancer Research, Oncology

View Paper: https://www.semanticscholar.org/paper/72ce58f7ffa222d7ff8782f1b625cdba5de5b21f

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In Cancer Research

Citations in the corpus

clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters (2012, positive): “These results are consistent with the main ﬁndings of the previous studies, showing that high expression of proliferation-associated genes confers a good prognosis in breast cancer (Schmidt et al., 2008).”
PrognoScan: a new database for meta-analysis of the prognostic value of genes (2009, background): “As of February 2009, the collection included more than 40 datasets of various cancer types spanning a wide range of cancers including bladder, blood, breast, brain, esophagus, head and neck, kidney, lung, and ovarian (Table 1) [10-35], far more comprehensive than both ITTACA, which focuses on bladde”
The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma (2018, methodology): “Immune Gene Signature Analysis—Immune gene signatures were derived from previously published works (Beck et al., 2009; Bindea et al., 2013; Fan et al., 2011; Iglesia et al., 2014; Kardos et al., 2016; Palmer et al., 2006; Rody et al., 2009; Rody et al., 2011; Schmidt et al., 2008; Teschendorff et al”
CD4⁺ follicular helper T cell infiltration predicts breast cancer survival. (2013, positive): “Studies of B cells in BC have detected specific antibody responses to tumor antigens (81, 82) and correlated B cell gene expression signatures with better clinical outcome (9, 83).”
An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients (2010, neutral): “1±1 200 [26] GSE9195 GPL570 77(100%) 36(47%) 13(17%) 7.”
GOBO: Gene Expression-Based Outcome for Breast Cancer Online (2011, neutral): “2 NA NA NA NA 29/135/33 NA 21610 [55]”
Most Random Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome (2011, background): “Immunological genes convey prognostic information in ER- tumors and in tumors with HER2 amplification [8,60–64].”