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We are analyzing https://link.springer.com/article/10.1007/s12282-018-0920-2.

Title:
Gene expression profile of peripheral blood mononuclear cells may contribute to the identification and immunological classification of breast cancer patients | Breast Cancer
Description:
Background It has been reported that the gene expression profile of peripheral blood mononuclear cells (PBMCs) exhibits a unique gene expression signature in several types of cancer. In this study, we aimed to explore the breast cancer patient-specific gene expression profile of PBMCs and discuss immunological insight on host antitumor immune responses. Methods We comprehensively analyzed the gene expression of PBMCs by RNA sequencing in the breast cancer patients as compared to that of healthy volunteers (HVs). Pathway enrichment analysis was performed on MetaCoretm to search the molecular pathways associated with the gene expression profile of PBMCs in cancer patients compared with HVs. Results We found a significant unique gene expression signature, such as the Toll-like receptor (TLR) 3- and TLR4-induced Toll/interleukin-1 receptor domain-containing adapter molecule 1 (TICAM1)-specific signaling pathway in the breast cancer patients as compared to that of healthy volunteers. Distinctive immunological gene expression profiles also showed the possibility of classifying breast cancer patients into subgroups such as T-cell inhibitory and monocyte-activating groups independent of known phenotypes of breast cancer. Conclusions These preliminary findings suggest that evaluation of gene expression patterns of PBMCs might be both a less invasive diagnostic procedure and a useful way to reveal immunological insight of breast cancer, including biomarkers for cancer immunotherapy, such as immune checkpoint inhibitor therapy.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {πŸ“š}

  • Health & Fitness
  • Education
  • Science

Content Management System {πŸ“}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {πŸ“ˆ}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
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How Does Link.springer.com Make Money? {πŸ’Έ}

We're unsure if the website is profiting.

Some websites aren't about earning revenue; they're built to connect communities or raise awareness. There are numerous motivations behind creating websites. This might be one of them. Link.springer.com has a revenue plan, but it's either invisible or we haven't found it.

Keywords {πŸ”}

article, pubmed, cancer, google, scholar, breast, cas, gene, expression, patients, profile, cells, immune, central, immunological, access, peripheral, blood, mononuclear, author, privacy, cookies, content, search, pbmcs, pathway, receptor, cell, kyoto, supplementary, material, analysis, data, publish, research, suzuki, sugimoto, kawaguchi, tolllike, open, chen, university, information, log, journal, identification, october, eiji, masahiro, kosuke,

Topics {βœ’οΈ}

gene expression profile gene expression profiles rna sequencing ryuji uozumi immune gene expression masahiro sugimoto author information authors kosuke kawaguchi double-stranded rna author correspondence adapter molecule 1 gene expression patterns myeloid-derived suppressor cells month download article/chapter nf-kappab gene expression interleukin-17-producing cell infiltration monocyte-activating groups independent helper t-cell response open-source system important immune checkpoints immune system decide full article pdf innate immune system breast cancer patients breast cancer tils check access instant access privacy choices/manage cookies related subjects transcriptional profiling pathway enrichment analysis specific signaling pathway vaccine-specific antibodies monocyte/macrophage infiltration nat rev cancer sugimoto kawaguchi t-cell inhibitory t-cell subsets nonmalignant lung disease acute lung injury article suzuki european economic area discuss immunological insight preliminary findings suggest invasive diagnostic procedure reveal immunological insight immunological potential markers oude egbrink mg

Questions {❓}

  • Immunological decision-making: how does the immune system decide to mount a helper T-cell response?

Schema {πŸ—ΊοΈ}

WebPage:
      mainEntity:
         headline:Gene expression profile of peripheral blood mononuclear cells may contribute to the identification and immunological classification of breast cancer patients
         description:It has been reported that the gene expression profile of peripheral blood mononuclear cells (PBMCs) exhibits a unique gene expression signature in several types of cancer. In this study, we aimed to explore the breast cancer patient-specific gene expression profile of PBMCs and discuss immunological insight on host antitumor immune responses. We comprehensively analyzed the gene expression of PBMCs by RNA sequencing in the breast cancer patients as compared to that of healthy volunteers (HVs). Pathway enrichment analysis was performed on MetaCoretm to search the molecular pathways associated with the gene expression profile of PBMCs in cancer patients compared with HVs. We found a significant unique gene expression signature, such as the Toll-like receptor (TLR) 3- and TLR4-induced Toll/interleukin-1 receptor domain-containing adapter molecule 1 (TICAM1)-specific signaling pathway in the breast cancer patients as compared to that of healthy volunteers. Distinctive immunological gene expression profiles also showed the possibility of classifying breast cancer patients into subgroups such as T-cell inhibitory and monocyte-activating groups independent of known phenotypes of breast cancer. These preliminary findings suggest that evaluation of gene expression patterns of PBMCs might be both a less invasive diagnostic procedure and a useful way to reveal immunological insight of breast cancer, including biomarkers for cancer immunotherapy, such as immune checkpoint inhibitor therapy.
         datePublished:2018-10-13T00:00:00Z
         dateModified:2018-10-13T00:00:00Z
         pageStart:282
         pageEnd:289
         sameAs:https://doi.org/10.1007/s12282-018-0920-2
         keywords:
            Immuno-oncology
            Gene expression profile
            RNA sequencing
            Peripheral blood mononuclear cells
            Immune checkpoint molecule
            Surgical Oncology
            Oncology
            Surgery
            Cancer Research
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               name:Eiji Suzuki
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ScholarlyArticle:
      headline:Gene expression profile of peripheral blood mononuclear cells may contribute to the identification and immunological classification of breast cancer patients
      description:It has been reported that the gene expression profile of peripheral blood mononuclear cells (PBMCs) exhibits a unique gene expression signature in several types of cancer. In this study, we aimed to explore the breast cancer patient-specific gene expression profile of PBMCs and discuss immunological insight on host antitumor immune responses. We comprehensively analyzed the gene expression of PBMCs by RNA sequencing in the breast cancer patients as compared to that of healthy volunteers (HVs). Pathway enrichment analysis was performed on MetaCoretm to search the molecular pathways associated with the gene expression profile of PBMCs in cancer patients compared with HVs. We found a significant unique gene expression signature, such as the Toll-like receptor (TLR) 3- and TLR4-induced Toll/interleukin-1 receptor domain-containing adapter molecule 1 (TICAM1)-specific signaling pathway in the breast cancer patients as compared to that of healthy volunteers. Distinctive immunological gene expression profiles also showed the possibility of classifying breast cancer patients into subgroups such as T-cell inhibitory and monocyte-activating groups independent of known phenotypes of breast cancer. These preliminary findings suggest that evaluation of gene expression patterns of PBMCs might be both a less invasive diagnostic procedure and a useful way to reveal immunological insight of breast cancer, including biomarkers for cancer immunotherapy, such as immune checkpoint inhibitor therapy.
      datePublished:2018-10-13T00:00:00Z
      dateModified:2018-10-13T00:00:00Z
      pageStart:282
      pageEnd:289
      sameAs:https://doi.org/10.1007/s12282-018-0920-2
      keywords:
         Immuno-oncology
         Gene expression profile
         RNA sequencing
         Peripheral blood mononuclear cells
         Immune checkpoint molecule
         Surgical Oncology
         Oncology
         Surgery
         Cancer Research
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            1880-4233
            1340-6868
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            url:http://orcid.org/0000-0002-4980-964X
            affiliation:
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                  address:
                     name:Breast Surgery Department, Kyoto University, Kyoto, Japan
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            name:Ayane Yamaguchi
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                  address:
                     name:Breast Surgery Department, Kyoto University, Kyoto, Japan
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            affiliation:
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                  address:
                     name:Department of Biomedical Statistics and Bioinformatics, Kyoto University, Kyoto, Japan
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      name:Kyoto University
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         name:Breast Surgery Department, Kyoto University, Kyoto, Japan
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      address:
         name:Breast Surgery Department, Kyoto University, Kyoto, Japan
         type:PostalAddress
      name:Kyoto University
      address:
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      affiliation:
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               name:Department of Biomedical Statistics and Bioinformatics, Kyoto University, Kyoto, Japan
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            name:Kyoto University
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               name:Breast Surgery Department, Kyoto University, Kyoto, Japan
               type:PostalAddress
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      name:Moe Tsuda
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            name:Kyoto University
            address:
               name:Breast Surgery Department, Kyoto University, Kyoto, Japan
               type:PostalAddress
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      name:Takeshi Kotake
      affiliation:
            name:Kyoto University
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               name:Breast Surgery Department, Kyoto University, Kyoto, Japan
               type:PostalAddress
            type:Organization
      name:Satoshi Morita
      affiliation:
            name:Kyoto University
            address:
               name:Department of Biomedical Statistics and Bioinformatics, Kyoto University, Kyoto, Japan
               type:PostalAddress
            type:Organization
      name:Masakazu Toi
      affiliation:
            name:Kyoto University
            address:
               name:Breast Surgery Department, Kyoto University, Kyoto, Japan
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      name:Breast Surgery Department, Kyoto University, Kyoto, Japan
      name:Health Promotion and Preemptive Medicine, Research and Development Center for Minimally Invasive Therapies, Tokyo Medical University, Tokyo, Japan
      name:Breast Surgery Department, Kyoto University, Kyoto, Japan
      name:Breast Surgery Department, Kyoto University, Kyoto, Japan
      name:Department of Biomedical Statistics and Bioinformatics, Kyoto University, Kyoto, Japan
      name:Breast Surgery Department, Kyoto University, Kyoto, Japan
      name:Breast Surgery Department, Kyoto University, Kyoto, Japan
      name:Breast Surgery Department, Kyoto University, Kyoto, Japan
      name:Breast Surgery Department, Kyoto University, Kyoto, Japan
      name:Department of Biomedical Statistics and Bioinformatics, Kyoto University, Kyoto, Japan
      name:Breast Surgery Department, Kyoto University, Kyoto, Japan
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