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Immune exclusion predicts poor patient outcomes in multiple malignancies, including triple-negative breast cancer (TNBC) 1 . The extracellular matrix (ECM) contributes to immune exclusion 2 . However, strategies to reduce ECM abundance are largely ineffective or generate undesired outcomes 3 , 4 . Here we show that discoidin domain receptor 1 (DDR1), a collagen receptor with tyrosine kinase activity 5 , instigates immune exclusion by promoting collagen fibre alignment. Ablation of Ddr1 in tumours promotes the intratumoral penetration of T cells and obliterates tumour growth in mouse models of TNBC. Supporting this finding, in human TNBC the expression of DDR1 negatively correlates with the intratumoral abundance of anti-tumour T cells. The DDR1 extracellular domain (DDR1-ECD), but not its intracellular kinase domain, is required for immune exclusion. Membrane-untethered DDR1-ECD is sufficient to rescue the growth of Ddr1 -knockout tumours in immunocompetent hosts. Mechanistically, the binding of DDR1-ECD to collagen enforces aligned collagen fibres and obstructs immune infiltration. ECD-neutralizing antibodies disrupt collagen fibre alignment, mitigate immune exclusion and inhibit tumour growth in immunocompetent hosts. Together, our findings identify a mechanism for immune exclusion and suggest an immunotherapeutic target for increasing immune accessibility through reconfiguration of the tumour ECM. In mouse models of triple-negative breast cancer, the extracellular domain of the collagen receptor DDR1 has a role in tumour defence against the immune system, by aligning collagen fibres to obstruct immune infiltration.

Extracellular matrix (ECM) remodeling is a hallmark of colorectal cancer progression, yet the transcriptional mechanisms coordinating collagen deposition and matrix metalloproteinase activation remain incompletely understood. We performed integrated computational analysis of 680 samples across normal mucosa, adenoma, and carcinoma stages to characterize discoidin domain receptor (DDR)-mediated transcriptional networks during tumorigenesis. Stage-stratified correlation analysis of fourteen pathway genes revealed profound divergence between DDR1 and DDR2; DDR1 correlations remained weak across all stages, while DDR2 correlations strengthened 2.59-fold from normal to carcinoma. DDR2-COL11A1 exhibited the most dramatic coupling intensification, increasing from R2=0.007 in normal tissue to R2=0.549 in carcinoma, accompanied by 1.99-fold COL11A1 upregulation. Remarkably, pathway activation occurred despite stable DDR2 expression, indicating enhanced transcriptional coupling efficiency rather than receptor upregulation as the primary mechanism. Deep neural network classification achieved 93.14% accuracy distinguishing disease stages, with SHAP analysis independently validating DDR2-COL11A1 as the most important gene interaction for cancer classification. These findings establish DDR2-specific transcriptional coupling as a functionally important mechanism in colorectal cancer progression and identify COL11A1 as a critical downstream target, suggesting novel therapeutic strategies targeting coupling efficiency rather than receptor abundance.

Discoidin domain receptor 1 (DDR1) is a member of the receptor tyrosine kinase family, and its ligand is collagen. Previous studies demonstrated that DDR1 is highly expressed in many tumors. However, its role in hepatocellular carcinoma (HCC) remains obscure. In this study, we found that DDR1 was upregulated in HCC tissues, and the expression of DDR1 in TNM stage II-IV was higher than that in TNM stage I in HCC tissues, and high DDR1 expression was associated with poor prognosis. Gene expression analysis showed that DDR1 target genes were functionally involved in HCC metastasis. DDR1 positively regulated the migration and invasion of HCC cells and promoted lung metastasis. Human Phospho-Kinase Array showed that DDR1 activated ERK/MAPK signaling pathway. Mechanically, DDR1 interacted with ARF6 and activated ARF6 through recruiting PSD4. The kinase activity of DDR1 was required for ARF6 activation and its role in metastasis. High expression of PSD4 was associated with poor prognosis in HCC. In summary, our findings indicate that DDR1 promotes HCC metastasis through collagen induced DDR1 signaling mediated PSD4/ARF6 signaling, suggesting that DDR1 and ARF6 may serve as novel prognostic biomarkers and therapeutic targets for metastatic HCC.

Breast cancer is the second leading cause of cancer-associated mortality among women worldwide. Triple-negative breast cancer (TNBC) accounts for 15-20% of all breast cancers and is defined by its aggressive nature and limited treatment options. Therefore, there is an urgent need to develop effective therapies for TNBC in order to improve breast cancer outcomes, as targeted therapies have done in other subtypes of breast cancer. Discoidin domain receptor tyrosine kinase 1 (DDR1) is activated by collagens, which are important components of the tumor stroma; therefore, DDR1 may serve a critical role in the communication between tumor cells and the tumor microenvironment. The aim of the present study was to determine how tumor DDR1 regulated tumor growth by affecting tumor infiltrated T cells. First, the DDR1 expression levels from a cohort of patients with breast cancer were analyzed. The results revealed that there were higher levels of DDR1 expression in tumor tissues compared with adjacent normal tissues. Overexpression of DDR1 in 4T1 cells promoted tumor growth in vivo, while knockout of DDR1 in EMT6 cells decreased tumor growth in vivo. In addition, it was revealed that DDR1 regulated tumor growth by modulating tumor infiltrating T cells, CD4+ and CD8+. Furthermore, inhibition of DDR1 by neutralizing antibodies decreased breast cancer growth in vivo. To the best of our knowledge, the results of the present study demonstrated for the first time that DDR1 expressed on the tumor cells promoted breast tumor growth by suppressing antitumor immunity. The present findings indicated that DDR1 may not only have a critical role in the progression of breast cancer, but may also serve as a potential therapeutic target for breast cancer, particularly TNBC.

The clinical management of metastatic colorectal cancer (mCRC) faces major challenges. Here, we show that nilotinib, a clinically approved drug for chronic myeloid leukaemia, strongly inhibits human CRC cell invasion in vitro and reduces their metastatic potential in intrasplenic tumour mouse models. Nilotinib acts by inhibiting the kinase activity of DDR1, a receptor tyrosine kinase for collagens, which we identified as a RAS‐independent inducer of CRC metastasis. Using quantitative phosphoproteomics, we identified BCR as a new DDR1 substrate and demonstrated that nilotinib prevents DDR1‐mediated BCR phosphorylation on Tyr177, which is important for maintaining β‐catenin transcriptional activity necessary for tumour cell invasion. DDR1 kinase inhibition also reduced the invasion of patient‐derived metastatic and circulating CRC cell lines. Collectively, our results indicate that the targeting DDR1 kinase activity with nilotinib may be beneficial for patients with mCRC. Synopsis The clinical management of metastatic colorectal cancer (mCRC) faces major challenges. Targeting the receptor for collagens DDR1 by nilotinib inhibits mCRC cells properties and paves the way to a new therapeutic strategy for mCRC. DDR1 tyrosine kinase activity promotes colorectal cancer cell invasion and metastatic properties in nude mice. BCR is a central substrate of DDR1. DDR1 activation maintains a high level of β‐catenin transcriptional activity necessary for cell invasion and metastatic progression. DDR1 pharmacological inhibition by nilotinib inhibits colorectal cancer cell invasion and metastatic properties in nude mice. Nilotinib may be of clinical interest for treatment of metastatic colorectal cancer. Graphical Abstract The clinical management of metastatic colorectal cancer (mCRC) faces major challenges. Targeting the receptor for collagens DDR1 by nilotinib inhibits mCRC cells properties and paves the way to a new therapeutic strategy for mCRC.

KRAS-mutant lung adenocarcinoma remains without effective targeted therapies for most patients, particularly those with non-G12C alleles or resistance to KRASG12C inhibitors. RAF1 is essential for KRAS-driven tumor maintenance through kinase-independent survival functions, making it an attractive candidate for targeted protein degradation. However, the therapeutic impact and safety of co-targeting RAF1 with related kinases remain unclear. We used dual-recombinase genetically engineered mouse models of Kras+/G12V;Trp53-/- lung cancer to evaluate the effects of Raf1 ablation alone or in combination with Araf, Egfr, or Ddr1. Lung tumors were initiated by intranasal Ad5-CMV-FLPo delivery and allowed to reach CT-detectable size before inducing systemic gene deletion via tamoxifen-activated CreERT2. Tumor burden was monitored by longitudinal CT imaging and classified using RECIST-like criteria. Toxicity was assessed by body weight monitoring, histopathology of major organs, and survival analysis. Raf1 deletion induced robust tumor regression within two months, in more than 60% of lesions. Araf ablation alone or combined with Raf1 did not affect tumor initiation, progression, or regression rates. Similarly, neither genetic nor pharmacological EGFR inhibition (afatinib) improved responses to Raf1 ablation. Ddr1 co-deletion also failed to enhance therapeutic efficacy and slightly reduced response rates. None of the dual-targeting strategies increased systemic toxicity. RAF1 is a key, non-redundant vulnerability in KRAS-driven lung adenocarcinoma. Co-targeting ARAF, EGFR, or DDR1 provides no additional therapeutic benefit in established disease. The absence of adverse effects from ARAF co-deletion suggests that RAF1 degraders with partial cross-activity towards ARAF are likely to be safe. These findings provide a strong preclinical rationale for developing RAF1-targeted degradation as a monotherapy for these malignancies.

Background C1q has been reported to reveal complement-independent roles in immune and non-immune cells. C1q binds to its specific receptors to regulate distinct functions that rely on the environment and cell types. Discoidin domain receptor 2 (DDR2) is activated by collagen and functions in wound healing by controlling matrix metalloproteinase (MMP) expression. Since C1q exhibits a collagen-like structure, we hypothesized that C1q might engage DDR2 to regulate wound healing and extracellular matrix (ECM) remodeling. Methods Cell-based assay, proximity ligation assay, ELISA, and surface plasmon analysis were utilized to investigate DDR2 and C1q binding. We also investigate the C1q-mediated in vitro wound healing ability using the human fibrosarcoma cell line, HT1080. Results C1q induced the phosphorylation of DDR2, p38 kinase, and ERK1/2. C1q and DDR2 binding improved cell migration and induced MMP2 and MMP9 expression. DDR2-specific shRNA reduced C1q-mediated cell migration for wound healing. Conclusions C1q is a new DDR2 ligand that promotes wound healing. These findings have therapeutic implications in wound healing-related diseases.

Discoidin domain receptor 1 (DDR1), a collagen-binding receptor tyrosine kinase, plays a key role in extracellular matrix remodeling, tumor progression, and immune evasion. However, DDR1’s comprehensive role across diverse cancers and its therapeutic potential in immune-resistant tumors remain poorly defined. We performed a pan-cancer analysis integrating bulk transcriptomic datasets, single-cell RNA sequencing, and pathway enrichment to evaluate DDR1 expression, genetic alterations, and its associations with immune cell infiltration and clinical outcomes. DDR1 was consistently overexpressed in 21 cancer types, correlating with poor prognosis and reduced immune cell infiltration. Mechanistically, DDR1 promoted collagen remodeling, immune exclusion, and upregulated immunosuppressive pathways. Single-cell analysis in pancreatic ductal adenocarcinoma (PDAC) revealed DDR1-high ductal cells associated with reduced cytotoxic T cell infiltration and increased regulatory T cell populations. Therapeutic blockade of DDR1 in an immunocompetent KPC mouse model of PDAC disrupted collagen architecture, enhanced CD8+ T cell infiltration, and improved responses to chemotherapy, highlighting a direct link between DDR1 inhibition and immune reactivation. These findings establish DDR1 as a key mediator of collagen-driven immune resistance and a promising therapeutic target for overcoming immune exclusion, especially in PDAC and other collagen-rich solid tumors.

Here we report targeted sequencing of 83 genes using DNA from primary breast cancer samples from 625 postmenopausal (UBC-TAM series) and 328 premenopausal (MA12 trial) hormone receptor-positive (HR+) patients to determine interactions between somatic mutation and prognosis. Independent validation of prognostic interactions was achieved using data from the METABRIC study. Previously established associations between MAP3K1 and PIK3CA mutations with luminal A status/favorable prognosis and TP53 mutations with Luminal B/non-luminal tumors/poor prognosis were observed, validating the methodological approach. In UBC-TAM, NF1 frame-shift nonsense (FS/NS) mutations were also a poor outcome driver that was validated in METABRIC. For MA12, poor outcome associated with PIK3R1 mutation was also reproducible. DDR1 mutations were strongly associated with poor prognosis in UBC-TAM despite stringent false discovery correction ( q  = 0.0003). In conclusion, uncommon recurrent somatic mutations should be further explored to create a more complete explanation of the highly variable outcomes that typifies ER+ breast cancer. Unravelling the link between somatic mutation and prognosis in estrogen positive (ER+) breast cancer requires the use of long-term follow-up data. Here, combining archival formalin-fixed paraffin embedded tissue and targeted sequencing in three cohorts of ER+ breast cancer, the authors find associations with clinical outcome for NF1 frame-shift nonsense mutations, PIK3R1 mutation, and DDR1 mutations.

We have developed a deep generative model, generative tensorial reinforcement learning (GENTRL), for de novo small-molecule design. GENTRL optimizes synthetic feasibility, novelty, and biological activity. We used GENTRL to discover potent inhibitors of discoidin domain receptor 1 (DDR1), a kinase target implicated in fibrosis and other diseases, in 21 days. Four compounds were active in biochemical assays, and two were validated in cell-based assays. One lead candidate was tested and demonstrated favorable pharmacokinetics in mice. A machine learning model allows the identification of new small-molecule kinase inhibitors in days.