View in EDS

Stand-alone transcriptional immune response prediction in primary triple-negative breast cancer

Saved in:
Bibliographic Details
Title: Stand-alone transcriptional immune response prediction in primary triple-negative breast cancer
Authors: Roostee, Suze, Killander, Fredrika, Saghir, Hani, Nacer, Deborah F, Häkkinen, Jari, Sasiain, Iñaki, Veerla, Srinivas, Vallon-Christersson, Johan, Loman, Niklas, Ohlsson, Mattias, Staaf, Johan
Contributors: Lund University, Faculty of Science, Centre for Environmental and Climate Science (CEC), Computational Science for Health and Environment, Lunds universitet, Naturvetenskapliga fakulteten, Centrum för miljö- och klimatvetenskap (CEC), Beräkningsvetenskap för hälsa och miljö, Originator, Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast/lungcancer, Research Group Lung Cancer, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröst/lungcancer, Forskningsgrupp Lungcancer, Originator, Lund University, Faculty of Medicine, Department of Laboratory Medicine, Division of Translational Cancer Research, Breast/lung cancer, Lunds universitet, Medicinska fakulteten, Institutionen för laboratoriemedicin, Avdelningen för translationell cancerforskning, Bröst/lungcancer, Originator, Lund University, Profile areas and other strong research environments, Other Strong Research Environments, LUCC: Lund University Cancer Centre, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Övriga starka forskningsmiljöer, LUCC: Lunds universitets cancercentrum, Originator, Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast cancer treatment, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröstcancerbehandling, Originator, Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast/ovarian cancer, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröst/ovarialcancer, Originator, Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast/ovarian cancer, Breast and Ovarian Cancer Genomics, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröst/ovarialcancer, Bröst- och ovarialcancer, Originator, Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breastcancer-genetics, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröstcancer-genetik, Originator, Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Natural and Artificial Cognition, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturlig och artificiell kognition, Originator, Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator, Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section II, Thoracic Surgery, Artificial Intelligence in CardioThoracic Sciences (AICTS), Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion II, Thoraxkirurgi, Artificiell intelligens och thoraxkirurgisk vetenskap (AICTS), Originator
Source: Cancer Research Communications.
Subject Terms: Medical and Health Sciences, Clinical Medicine, Cancer and Oncology, Medicin och hälsovetenskap, Klinisk medicin, Cancer och onkologi
Description: Triple-negative breast cancer (TNBC) accounts for 10-20% of primary breast cancers and often has early relapses and aggressive progression. An activated tumour immune response can be prognostic in treatment-naive and chemotherapy-treated TNBC patients and may be assessed using gene expression data. We derived a stand-alone predictor for a proposed immunomodulatory transcriptional TNBC subtype in a training cohort of 235 patients with primary disease based on random forest modelling of RNA-sequencing data. Validation in independent TNBC cohorts totalling more than 1200 patients demonstrated that the classifier recapitulates the immunomodulatory mRNA subtype classification, is associated with elevated immune expression and diversity of T-cell receptor genes, is associated with response to neoadjuvant chemotherapy, and can separate patients into subgroups with better or worse prognosis after adjuvant chemotherapy. The availability of stand-alone classifiers for mRNA-based prediction may further enhance RNA-sequencing's usability in a more routine clinical context and for translational endpoints in clinical trials.
Access URL: https://doi.org/10.1158/2767-9764.CRC-25-0453
Database: SwePub
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://doi.org/10.1158/2767-9764.CRC-25-0453#
    Name: EDS - SwePub (s4221598)
    Category: fullText
    Text: View record in SwePub
  – Url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=search&db=pmc&term=2767-9764[TA]+AND+[PG]+AND+2025[PDAT]
    Name: FREE - PubMed Central (ISSN based link)
    Category: fullText
    Text: Full Text
    Icon: https://imageserver.ebscohost.com/NetImages/iconPdf.gif
    MouseOverText: Check this PubMed for the article full text.
  – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edsswe&genre=article&issn=27679764&ISBN=&volume=&issue=&date=20251110&spage=&pages=&title=Cancer Research Communications&atitle=Stand-alone%20transcriptional%20immune%20response%20prediction%20in%20primary%20triple-negative%20breast%20cancer&aulast=Roostee%2C%20Suze&id=DOI:10.1158/2767-9764.CRC-25-0453
    Name: Full Text Finder
    Category: fullText
    Text: Full Text Finder
    Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif
    MouseOverText: Full Text Finder
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Roostee%20S
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edsswe
DbLabel: SwePub
An: edsswe.oai.portal.research.lu.se.publications.558c11cc.9ad4.4c8e.9937.567eb5389418
RelevancyScore: 1124
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1123.9033203125
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Stand-alone transcriptional immune response prediction in primary triple-negative breast cancer
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Roostee%2C+Suze%22">Roostee, Suze</searchLink><br /><searchLink fieldCode="AR" term="%22Killander%2C+Fredrika%22">Killander, Fredrika</searchLink><br /><searchLink fieldCode="AR" term="%22Saghir%2C+Hani%22">Saghir, Hani</searchLink><br /><searchLink fieldCode="AR" term="%22Nacer%2C+Deborah+F%22">Nacer, Deborah F</searchLink><br /><searchLink fieldCode="AR" term="%22Häkkinen%2C+Jari%22">Häkkinen, Jari</searchLink><br /><searchLink fieldCode="AR" term="%22Sasiain%2C+Iñaki%22">Sasiain, Iñaki</searchLink><br /><searchLink fieldCode="AR" term="%22Veerla%2C+Srinivas%22">Veerla, Srinivas</searchLink><br /><searchLink fieldCode="AR" term="%22Vallon-Christersson%2C+Johan%22">Vallon-Christersson, Johan</searchLink><br /><searchLink fieldCode="AR" term="%22Loman%2C+Niklas%22">Loman, Niklas</searchLink><br /><searchLink fieldCode="AR" term="%22Ohlsson%2C+Mattias%22">Ohlsson, Mattias</searchLink><br /><searchLink fieldCode="AR" term="%22Staaf%2C+Johan%22">Staaf, Johan</searchLink>
– Name: Author
  Label: Contributors
  Group: Au
  Data: Lund University, Faculty of Science, Centre for Environmental and Climate Science (CEC), Computational Science for Health and Environment, Lunds universitet, Naturvetenskapliga fakulteten, Centrum för miljö- och klimatvetenskap (CEC), Beräkningsvetenskap för hälsa och miljö, Originator<br />Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast/lungcancer, Research Group Lung Cancer, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröst/lungcancer, Forskningsgrupp Lungcancer, Originator<br />Lund University, Faculty of Medicine, Department of Laboratory Medicine, Division of Translational Cancer Research, Breast/lung cancer, Lunds universitet, Medicinska fakulteten, Institutionen för laboratoriemedicin, Avdelningen för translationell cancerforskning, Bröst/lungcancer, Originator<br />Lund University, Profile areas and other strong research environments, Other Strong Research Environments, LUCC: Lund University Cancer Centre, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Övriga starka forskningsmiljöer, LUCC: Lunds universitets cancercentrum, Originator<br />Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast cancer treatment, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröstcancerbehandling, Originator<br />Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast/ovarian cancer, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröst/ovarialcancer, Originator<br />Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast/ovarian cancer, Breast and Ovarian Cancer Genomics, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröst/ovarialcancer, Bröst- och ovarialcancer, Originator<br />Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breastcancer-genetics, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröstcancer-genetik, Originator<br />Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Natural and Artificial Cognition, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturlig och artificiell kognition, Originator<br />Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator<br />Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section II, Thoracic Surgery, Artificial Intelligence in CardioThoracic Sciences (AICTS), Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion II, Thoraxkirurgi, Artificiell intelligens och thoraxkirurgisk vetenskap (AICTS), Originator
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <i>Cancer Research Communications</i>.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Medical+and+Health+Sciences%22">Medical and Health Sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Clinical+Medicine%22">Clinical Medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+and+Oncology%22">Cancer and Oncology</searchLink><br /><searchLink fieldCode="DE" term="%22Medicin+och+hälsovetenskap%22">Medicin och hälsovetenskap</searchLink><br /><searchLink fieldCode="DE" term="%22Klinisk+medicin%22">Klinisk medicin</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+och+onkologi%22">Cancer och onkologi</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Triple-negative breast cancer (TNBC) accounts for 10-20% of primary breast cancers and often has early relapses and aggressive progression. An activated tumour immune response can be prognostic in treatment-naive and chemotherapy-treated TNBC patients and may be assessed using gene expression data. We derived a stand-alone predictor for a proposed immunomodulatory transcriptional TNBC subtype in a training cohort of 235 patients with primary disease based on random forest modelling of RNA-sequencing data. Validation in independent TNBC cohorts totalling more than 1200 patients demonstrated that the classifier recapitulates the immunomodulatory mRNA subtype classification, is associated with elevated immune expression and diversity of T-cell receptor genes, is associated with response to neoadjuvant chemotherapy, and can separate patients into subgroups with better or worse prognosis after adjuvant chemotherapy. The availability of stand-alone classifiers for mRNA-based prediction may further enhance RNA-sequencing's usability in a more routine clinical context and for translational endpoints in clinical trials.
– Name: URL
  Label: Access URL
  Group: URL
  Data: <link linkTarget="URL" linkTerm="https://doi.org/10.1158/2767-9764.CRC-25-0453" linkWindow="_blank">https://doi.org/10.1158/2767-9764.CRC-25-0453</link>
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsswe&AN=edsswe.oai.portal.research.lu.se.publications.558c11cc.9ad4.4c8e.9937.567eb5389418
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1158/2767-9764.CRC-25-0453
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: Medical and Health Sciences
        Type: general
      – SubjectFull: Clinical Medicine
        Type: general
      – SubjectFull: Cancer and Oncology
        Type: general
      – SubjectFull: Medicin och hälsovetenskap
        Type: general
      – SubjectFull: Klinisk medicin
        Type: general
      – SubjectFull: Cancer och onkologi
        Type: general
    Titles:
      – TitleFull: Stand-alone transcriptional immune response prediction in primary triple-negative breast cancer
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Roostee, Suze
      – PersonEntity:
          Name:
            NameFull: Killander, Fredrika
      – PersonEntity:
          Name:
            NameFull: Saghir, Hani
      – PersonEntity:
          Name:
            NameFull: Nacer, Deborah F
      – PersonEntity:
          Name:
            NameFull: Häkkinen, Jari
      – PersonEntity:
          Name:
            NameFull: Sasiain, Iñaki
      – PersonEntity:
          Name:
            NameFull: Veerla, Srinivas
      – PersonEntity:
          Name:
            NameFull: Vallon-Christersson, Johan
      – PersonEntity:
          Name:
            NameFull: Loman, Niklas
      – PersonEntity:
          Name:
            NameFull: Ohlsson, Mattias
      – PersonEntity:
          Name:
            NameFull: Staaf, Johan
      – PersonEntity:
          Name:
            NameFull: Lund University, Faculty of Science, Centre for Environmental and Climate Science (CEC), Computational Science for Health and Environment, Lunds universitet, Naturvetenskapliga fakulteten, Centrum för miljö- och klimatvetenskap (CEC), Beräkningsvetenskap för hälsa och miljö, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast/lungcancer, Research Group Lung Cancer, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröst/lungcancer, Forskningsgrupp Lungcancer, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Faculty of Medicine, Department of Laboratory Medicine, Division of Translational Cancer Research, Breast/lung cancer, Lunds universitet, Medicinska fakulteten, Institutionen för laboratoriemedicin, Avdelningen för translationell cancerforskning, Bröst/lungcancer, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Profile areas and other strong research environments, Other Strong Research Environments, LUCC: Lund University Cancer Centre, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Övriga starka forskningsmiljöer, LUCC: Lunds universitets cancercentrum, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast cancer treatment, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröstcancerbehandling, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast/ovarian cancer, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröst/ovarialcancer, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breast/ovarian cancer, Breast and Ovarian Cancer Genomics, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröst/ovarialcancer, Bröst- och ovarialcancer, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section I, Breastcancer-genetics, Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion I, Bröstcancer-genetik, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Profile areas and other strong research environments, Lund University Profile areas, LU Profile Area: Natural and Artificial Cognition, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Lunds universitets profilområden, LU profilområde: Naturlig och artificiell kognition, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Profile areas and other strong research environments, Strategic research areas (SRA), eSSENCE: The e-Science Collaboration, Lunds universitet, Profilområden och andra starka forskningsmiljöer, Strategiska forskningsområden (SFO), eSSENCE: The e-Science Collaboration, Originator
      – PersonEntity:
          Name:
            NameFull: Lund University, Faculty of Medicine, Department of Clinical Sciences, Lund, Section II, Thoracic Surgery, Artificial Intelligence in CardioThoracic Sciences (AICTS), Lunds universitet, Medicinska fakulteten, Institutionen för kliniska vetenskaper, Lund, Sektion II, Thoraxkirurgi, Artificiell intelligens och thoraxkirurgisk vetenskap (AICTS), Originator
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 10
              M: 11
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 27679764
            – Type: issn-locals
              Value: SWEPUB_FREE
            – Type: issn-locals
              Value: LU_SWEPUB
          Titles:
            – TitleFull: Cancer Research Communications
              Type: main
ResultId 1