Immune infiltration characteristic of colorectal cancer with high and low immune score.
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ABSTRACT:
PROVIDER: PRJNA1130405 | ENA |
REPOSITORIES: ENA
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Project description:colorectal cancer (CRC) specimens were collected from 45 CRC patients receiving surgical resection. Total RNA was extracted from CRC tissues using TRIzol Reagent following the manufacturer’s instructions. The expression profiles were determined using the NovaSeqXplus sequencer (Illumina, San Diego, CA, USA). The immune score was calculated using predictive model based on the expression profiles and the patients were divided into high-score and low-score group. The proportion of MSI patients were compared between the high- and low-score groups.
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Project description:The Immunoscore is a method to quantify the immune cell infiltration within cancers to predict the disease prognosis. Previous immune profiling approaches relied on limited immune markers to establish patients’ tumor immunity. However, immune cells exhibit a higher-level complexity that is typically not obtained by the conventional immunohistochemistry methods. Herein, we present a spatially variant immune infiltration score, termed as SpatialVizScore, to quantify immune cells infiltration within lung tumor samples using multiplex protein imaging data. Imaging mass cytometry (IMC) was used to target 26 markers in tumors to identify stromal, immune, and cancer cell states within 26 human tissues from lung cancer patients. Unsupervised clustering methods dissected the spatial infiltration of cells in tissue using the high-dimensional analysis of 16 immune markers and other cancer and stroma enriched labels to profile alterations in the tumors’ immune infiltration patterns. Spatially resolved maps of distinct tumors determined the spatial proximity and neighborhoods of immune-cancer cell pairs. These SpatialVizScore maps provided a ranking of patients’ tumors consisting of immune inflamed, immune suppressed, and immune cold states, demonstrating the tumor’s immune continuum assigned to three distinct infiltration score ranges. Several inflammatory and suppressive immune markers were used to establish the cell-based scoring schemes at the single-cell and pixel-level, depicting the cellular spectra in diverse lung tissues. Thus, SpatialVizScore is an emerging quantitative method to deeply study tumor immunology in cancer tissues.
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Project description:Background: The tumor microenvironment (TME) consists of heterogeneous cell populations, including malignant cells and nonmalignant cells that support tumor proliferation, invasion, and metastasis through extensive cross talk. The intra-tumor immune landscape is a critical factor influencing patient survival and response to immunotherapy. Methods: Gene expression data were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus databases. Immune cell infiltration was determined by single-sample Gene Set Enrichment Analysis (ssGSEA) depending on the integrated immune gene sets from published studies. Univariate analysis was used to determine the prognostic value of the infiltrated immune cells. Least absolute shrinkage and selection operator (LASSO) regression was performed to screen for the most survival-relevant immune cells. An immune-cell characteristic score (ICCS) model was constructed by using multivariate Cox regression analysis. Results: The immune cell infiltration patterns across 32 cancer types were identified, and patients in the high immune cell infiltration cluster had worse overall survival (OS) but better progression-free interval (PFI) compared to the low immune cell infiltration cluster. However, immune cell infiltration showed inconsistent prognostic value depending on the cancer type. High immune cell infiltration (High CI) indicated a worse prognosis in brain lower grade glioma (LGG), glioblastoma multiforme (GBM), and uveal melanoma (UVM), and favorable prognosis in adrenocortical carcinoma (ACC), cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), cholangiocarcinoma (CHOL), head and neck squamous cell carcinoma (HNSC), liver hepatocellular carcinoma (LIHC), lung adenocarcinoma (LUAD), sarcoma (SARC), and skin cutaneous melanoma (SKCM). LUAD prognosis was significantly influenced by the infiltration of 13 immune cell types, with high infiltration of all but Type 2 T helper (Th2) cells correlating with a favorable prognosis. The ICCS model based on six most survival-relevant immune cell populations was generated that classified patients into low- and high-ICCS groups with good and poor prognoses, respectively. The multivariate and stratified analyses further revealed that the ICCS was an independent prognostic factor for LUAD. Conclusions: The infiltration of immune cells in 32 cancer types was quantified, and considerable heterogeneity was observed in the prognostic relevance of these cells in different cancer types. An ICCS model was constructed for LUAD with competent prognostic performance, which can further deepen our understanding of the TME of LUAD and can have implications for immunotherapy.
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Project description:Tumor progression and response to treatment is highly affected by interactions between cancer cells and the tumor microenvironment (TME). Many of the soluble factors and signaling receptors involved in this crosstalk are shed by a disintegrin and metalloproteinases (ADAMs). Upregulation of ADAM15 has been linked to worse survival in cancer patients and a tumor-promoting function both in vitro and in murine cancer models. Although ADAM15 has been involved in cell-cell and cell-extracellular matrix interactions, its role in the crosstalk between cancer cells and the TME in vivo remains unexplored. Therefore, we aimed to understand how ADAM15 regulates the cell composition of the TME and how it affects tumor progression. Here, we showed an upregulation of ADAM15 in tumor tissues from rectal cancer patients. Subcutaneous injection of wildtype and ADAM15-knockout CT26 colon cancer cells in syngeneic mice confirmed the pro-tumorigenic role of ADAM15. Profiling of tumors revealed higher immune cell infiltration and cancer cell apoptosis in the ADAM15-deficient tumors. Specifically, loss of ADAM15 led to a reduced number of granulocytes and higher infiltration of antigen-presenting cells, including dendritic cells and macrophages, as well as more T cells. Using in vitro assays, we confirmed the regulatory effect of ADAM15 on macrophage migration and identified ADAM15-derived CYR61 as a potential molecular mediator of this effect. Together, our data suggest that targeting ADAM15 could increase the infiltration of immune cells in colorectal tumors and thereby turn cold tumors hot, resulting in a potentially improved response to combined immunotherapy.
2023-07-24 | PXD041164 | Pride
Project description:the WHSC1 enzymes controls immune infiltration in prostate cancer by regulating the expression of genes in immune pathways and genes in the antigen processng and presentation machinery
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