ArticleCancer immunology, immunotherapy : CII2022
Identification and quantification of immune infiltration landscape on therapy and prognosis in left- and right-sided colon cancer.
Article in Cancer immunology, immunotherapy : CII, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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51 citing papers in PubMed, 81 citations in OpenAlex.
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- Single-cell and machine learning reveal ROS-associated heterogeneity in hepatocellular carcinoma for precision medicine.BMC cancer · 2026Article
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- Immune checkpoint inhibitor resistance in dMMR high-grade intraepithelial neoplasia with lynch syndrome-associated colon cancer: a case report.BMC gastroenterology · 2026Article
- Immune Infiltration Landscape in Osteosarcoma: Clinical Implications for Prognosis and Therapy.Cancer reports (Hoboken, N.J.) · 2026Article
- Construction and verification of a prognostic model of neutrophil-related genes in clear cell renal cell carcinoma.Translational andrology and urology · 2026Article
- Diagnostic and prognostic value of serum markers CEA, CA50, CA19-9, CA72-4, and CYFRA21-1 in colon cancer.Journal of medical biochemistry · 2026Article
- Gut microbiota regulation and Traditional Chinese Medicine syndrome differentiation in right- and left-sided colon cancer heterogeneity - A review.Frontiers in pharmacology · 2026Review
- Independent validation of lung adenocarcinoma prognostic risk scores incorporating cholesterol and estrogen metabolism related transcriptional biomarkers.Scientific reports · 2025Article
- NONO links circadian rhythm disruption and enhanced tumor-fibroblast crosstalk in right-sided colorectal cancer.Biomarker research · 2025Article
- Increased protein expression of interleukin-10 and its signalling molecules in colon cancer progression: potential prognostic and therapeutic targets.Discover oncology · 2025Article
- Harnessing TAGAP to improve immunotherapy for lung squamous carcinoma treatment by targeting c-Rel in CD4+ T cells.Cancer immunology, immunotherapy : CII · 2025Article
- Machine learning identifies PYGM as a macrophage polarization-linked metabolic biomarker in rectal cancer prognosis.Frontiers in immunology · 2025Article
- Characteristics of the tumor microenvironment and potential immunotherapy strategies in renal cell carcinoma.Frontiers in immunology · 2025Review
- Macrophage polarization in disease therapy: insights from astragaloside IV and cycloastragenol.Frontiers in pharmacology · 2025Review
- The effect of combined head and tail approach during laparoscopic D3 lymph node dissection on pain severity and complications in patients with right colon cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Article
- Integrative analysis of homologous recombination repair patterns unveils prognostic signatures and immunotherapeutic insights in breast cancer.Journal of applied genetics · 2024Article
- Expression of Anoikis-Related Genes and Potential Biomarkers in Colon Cancer Based on RNA-seq and scRNA-seq.Applied biochemistry and biotechnology · 2024Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe left-sided and right-sided colon cancer (LCCs and RCCs, respectively) have unique molecular features and clinical heterogeneity. This study aimed to identify the characteristics of immune cell infiltration (ICI) subtypes for evaluating prognosis and therapeutic benefits.
methodsThe independent gene datasets, corresponding somatic mutation and clinical information were collected from The Cancer Genome Atlas and Gene Expression Omnibus. The ICI contents were evaluated by "ESTIMATE" and "CIBERSORT." We performed two computational algorithms to identify the ICI landscape related to prognosis and found the unique infiltration characteristics. Next, principal component analysis was conducted to construct ICI score based on three ICI patterns. We analyzed the correlation between ICI score and tumor mutation burden (TMB), and stratified patients into prognostic-related high- and low- ICI score groups (HSG and LSG, respectively). The role of ICI scores in the prediction of therapeutic benefits was investigated by "pRRophetic" and verified by Immunophenoscores (IPS) (TCIA database) and an independent immunotherapy cohort (IMvigor210). The key genes were preliminary screened by weighted gene co-expression network analysis based on ICI scores. And they were further identified at various levels, including single cell, protein and immunotherapy response. The predictive ability of ICI score for prognosis was also verified in IMvigor210 cohort.
resultsThe ICI features with a better prognosis were marked by high plasma cells, dendritic cells and mast cells, low memory CD4
conclusionThe identification of ICI subtypes and ICI scores will help gain insights into the heterogeneity in LCC and RCC, and identify patients probably benefiting from treatments. ICI scores and the key genes could serve as an effective biomarker to predict prognosis and the sensitivity of immunotherapy.
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