ArticleBMC cancer2016
Identification of stromal ColXα1 and tumor-infiltrating lymphocytes as putative predictive markers of neoadjuvant therapy in estrogen receptor-positive/HER2-positive breast cancer.
Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.
- Predictive and prognostic role of tumour-infiltrating lymphocytes in breast cancer patients with different molecular subtypes: a meta-analysis.BMC cancer · 2020Pooled it
- Decoding the Collagenome in Breast Cancer: Mechanotransduction, Microenvironment, and Translational Opportunities.International journal of molecular sciences · 2026Review
- The 3D Collagen Network as a Determinant of Tumor Progression and Drug Delivery Efficiency in Breast Cancer.Pharmaceutics · 2026Review
- COL10A1 beyond skeletal development: a hypertrophic chondrocyte-specific collagen emerging as a potential biomarker and tumor microenvironment regulator in solid cancers.American journal of cancer research · 2026Review
- COL10A1Journal of experimental & clinical cancer research : CR · 2025Article
- Extracellular matrix dynamics in tumor immunoregulation: from tumor microenvironment to immunotherapy.Journal of hematology & oncology · 2025Review
- The regulatory effect of CoL10A1 to the intracranial vascular invasion and cell proliferation in breast cancer via EMT pathway.Scientific reports · 2025Article
- Article
- The role of various collagen types in tumor biology: a review.Frontiers in oncology · 2025Review
- COL10A1 Facilitates Prostate Cancer Progression by Interacting With INHBA to Activate the PI3K/AKT Pathway.Journal of cellular and molecular medicine · 2024Article
- Oncogenic mechanisms of COL10A1 in cancer and clinical challenges (Review).Oncology reports · 2024Review
- Aberrant expression of collagen type X in solid tumor stroma is associated with EMT, immunosuppressive and pro-metastatic pathways, bone marrow stromal cell signatures, and poor survival prognosis.bioRxiv : the preprint server for biology · 2024Article
- Robust Identification of Differential Gene Expression Patterns from Multiple Transcriptomics Datasets for Early Diagnosis, Prognosis, and Therapies for Breast Cancer.Medicina (Kaunas, Lithuania) · 2023Article
- Tumor collagens predict genetic features and patient outcomes.NPJ genomic medicine · 2023Article
- Prognostic value of COL10A1 and its correlation with tumor-infiltrating immune cells in urothelial bladder cancer: A comprehensive study based on bioinformatics and clinical analysis validation.Frontiers in immunology · 2023Article
- High COL10A1 expression potentially contributes to poor outcomes in gastric cancer with the help of LEF1 and Wnt2.Journal of clinical laboratory analysis · 2022Article
- Somatic mutations in collagens are associated with a distinct tumor environment and overall survival in gastric cancer.BMC cancer · 2022Article
- COL10A1-DDR2 axis promotes the progression of pancreatic cancer by regulating MEK/ERK signal transduction.Frontiers in oncology · 2022Article
- Association between genome-wide epigenetic and genetic alterations in breast cancer tissue and response to HER2-targeted therapies in HER2-positive breast cancer patients: new findings and a systematic review.Cancer drug resistance (Alhambra, Calif.) · 2022Review
- Update on molecular biomarkers for diagnosis and prediction of prognosis and treatment responses in gastric cancer.Histology and histopathology · 2021Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe influence of the tumor microenvironment and tumor-stromal interactions on the heterogeneity of response within breast cancer subtypes have just begun to be explored. This study focuses on patients with estrogen receptor-positive/human epidermal growth factor receptor 2-positive (ER+/HER2+) breast cancer receiving neoadjuvant chemotherapy and HER2-targeted therapy (NAC+H), and was designed to identify novel predictive biomarkers by combining gene expression analysis and immunohistochemistry with pathologic response.
methodsWe performed gene expression profiling on pre-NAC+H tumor samples from responding (no or minimal residual disease at surgery) and non-responding patients. Gene set enrichment analysis identified potentially relevant pathways, and immunohistochemical staining of pre-treatment biopsies was used to measure protein levels of those pathways, which were correlated with pathologic response in both univariate and multivariate analysis.
resultsIncreased expression of genes encoding for stromal collagens, including Col10A1, and reduced expression of immune-associated genes, reflecting lower levels of total tumor-infiltrating lymphocytes (TILs), were strongly associated with poor pathologic response. Lower TILs in tumor biopsies correlated with reduced likelihood of achieving an optimal pathologic response, but increased expression of the Col10A1 gene product, colXα1, had greater predictive value than stromal abundance for poor response (OR = 18.9, p = 0.003), and the combination of increased colXα1 expression and low TILs was significantly associated with poor response in multivariate analysis. ROC analysis suggests strong specificity and sensitivity for this combination in predicting treatment response.
conclusionsIncreased expression of stromal colXα1 and low TILs correlate with poor pathologic response in ER+/HER2+ breast tumors. Further studies are needed to confirm their predictive value and impact on long-term outcomes, and to determine whether this collagen exerts a protective effect on the cancer cells or simply reflects other factors within the tumor microenvironment.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.