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200Pin Memory Ram DRR1 Memory Ram 1G 400MHz PC3200 Memory Ram Module Board for Laptop

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a) Representative images of CD8 + T cell staining at E0771 tumour margin and in the tumour core (bottom panels). ( b, c) Representative images (b) and quantification (c) of CD8 + T cell IHC at M-Wnt tumour margin and core (WT: n = 8 tumours, KO: n = 4 tumours). ( d, e) Representative images (d) and quantification (e) of CD8 + T cell IHC at AT-3 tumour margin and core (n = 5 tumours/group). Images in (a),(b), and (d) showing tumour margin at top panel (tumour boarder denoted by red dash lines) and tumour core at bottom panel. Box areas at higher magnification are shown in the upper right inlets. Red arrow heads indicate CD8 + cells. The y-axis in (c) and (e) refers to percent of CD8 + cells over total cells in a given field. Scale bar: 100 µm and 10 µm in inlets. Two-tailed Student’s t-test. ( f–g) Correlation between DDR1 mRNA levels and overall survival of all patients with breast cancer (f) and patients with TNBC (g) in the Kaplan-Meier Plotter database ( https://kmplot.com/analysis/). ( h–j) Scatter plots showing the negative gene expression ( Z-score) correlation between DDR1 mRNA levels and GZMB (h), IFNG (i), and PRF1 (j) in TCGA TNBC tumours (n = 162). The corresponding Spearman’s correlation coefficients and p values are shown. ( k–n) Correlation of DDR1 mRNA levels and anti-tumour immune markers in 37 samples from patients with TNBC (GSE88847). ( o) Scatter plot showing the negative gene expression correlation between DDR1 mRNA levels and signature for accumulation of T cells in tumours using TCGA TNBC tumour data. ( p) Scatter plots showing the negative expression correlation between DDR1 protein expression and cytolytic effector pathway in CPTAC BRCA. ( q) Correlation between percentages of CD8 + immune cells and DDR1 + tumour cells in a TNBC cohort (n = 12). ( r) Correlation between percentages of CD8 + immune cells and DDR1 + tumour cells in a DDR1 high (n = 7) and DDR1 low (n = 5) TNBC samples. ( s) Patient numbers of immune-excluded (n = 4) and non-immune-excluded (n = 6) in DDR1 high and DDR1 low group. Only the 10 patient samples with paired margin and core information were used for the immune exclusion calculation in Extended Data Fig. 3s, two-sided Chi-square test. Bejarano, L., Jordao, M. J. C. & Joyce, J. A. Therapeutic targeting of the tumor microenvironment. Cancer Discov. 11, 933–959 (2021).

Ambrogio, C. et al. Combined inhibition of DDR1 and Notch signaling is a therapeutic strategy for KRAS-driven lung adenocarcinoma. Nat. Med. 22, 270–277 (2016).

ACA students

van de Sluis B, Rothuizen J, Pearson PL, van Oost BA, Wijmenga C . Identification of a new copper metabolism gene by positional cloning in a purebred dog population. Hum Mol Genet 2002; 11: 165–173. Lu F, Kishida S, Mu P, Huang P, Cao D, Tsubota S et al. NeuroD1 promotes neuroblastoma cell growth by inducing the expression of ALK. Cancer Sci 2015; 106: 390–396. Valiathan, R. R., Marco, M., Leitinger, B., Kleer, C. G. & Fridman, R. Discoidin domain receptor tyrosine kinases: new players in cancer progression. Cancer Metastasis Rev. 31, 295–321 (2012). Rheumatology Department and Rheumatology Research Group, Vall d’Hebron Hospital Research Institute, Barcelona, Spain

YouTube sets this cookie to register a unique ID to store data on what videos from YouTube the user has seen. Vogel, W. F., Aszodi, A., Alves, F. & Pawson, T. Discoidin domain receptor 1 tyrosine kinase has an essential role in mammary gland development. Mol. Cell. Biol. 21, 2906–2917 (2001). Harbour ME, Breusegem SY, Seaman MNJ . Recruitment of the endosomal WASH complex is mediated by the extended 'tail' of Fam21 binding to the retromer protein Vps35. Biochem J 2012; 442: 209–220. Tomko, L. A. et al. Targeted matrisome analysis identifies thrombospondin-2 and tenascin-C in aligned collagen stroma from invasive breast carcinoma. Sci. Rep. 8, 12941 (2018).

Regulation

Ashburner, M. et al. Gene ontology: tool for the unification of biology. Nat. Genet. 25, 25–29 (2000). van den Boom J, Wolter M, Blaschke B, Knobbe CB, Reifenberger G . Identification of novel genes associated with astrocytoma progression using suppression subtractive hybridization and real-time reverse transcription-polymerase chain reaction. Int J Cancer. 2006; 119: 2330–2338. Udali S, Guarini P, Ruzzenente A, Ferrarini A, Guglielmi A, Lotto V et al. DNA methylation and gene expression profiles show novel regulatory pathways in hepatocellular carcinoma. Clin Epigenetics 2015; 7: 43. Carafoli, F. et al. Structure of the discoidin domain receptor 1 extracellular region bound to an inhibitory Fab fragment reveals features important for signaling. Structure 20, 688–697 (2012).

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