Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 50 min ago
PreprintCC BYbioRxiv

Primary tumor transcriptomic signature is associated with locoregional dissemination in canine mammary carcinoma

  1. 1Seoul National University College of Veterinary Medicine

Abstract

Canine mammary carcinoma (CMC) exhibits heterogeneous metastatic behavior, while accurate assessment of locoregional dissemination may be limited by incomplete sampling, occult metastasis, and variable sentinel lymph node anatomy. We investigated whether primary-tumor transcriptomic programs are associated with locoregional dissemination. The training cohort comprised 113 CMC RNA sequencing samples classified by peritumoral lymphatic vessel invasion, and the independent evaluation cohort comprised 27 microarray samples classified by histopathologically confirmed lymph node (LN) metastasis. Expression profiles were mapped to human ortholog gene symbols, and single-sample gene set enrichment analysis (ssGSEA) was performed using Molecular Signatures Database (MSigDB) gene sets. Seven candidate gene sets selected through univariable screening and literature-guided curation were entered into least absolute shrinkage and selection operator (LASSO) logistic regression, yielding a four-gene-set transcriptomic risk score (RS). The RS showed an apparent receiver operating characteristic area under the curve (ROC-AUC) of 0.949 (95% confidence interval, 0.906-0.993) and precision-recall area under the curve (PR-AUC) of 0.725 in the training cohort; bootstrap internal validation yielded an optimism-corrected ROC-AUC of 0.920. In the evaluation cohort, the ROC-AUC was 0.890 (95% confidence interval, 0.766-1.000) and PR-AUC was 0.869. Discrimination was attenuated but retained in histologically restricted sensitivity analyses, and higher RS remained associated with locoregional dissemination after clinicopathologic adjustment. These findings support gene-set-level transcriptomic scoring as a potential complementary approach for characterizing dissemination-associated primary-tumor states in CMC.

Related

  1. Transcriptomic immune-related signature associated with chemoradiotherapy response in anal squamous cell carcinoma
    Soledad Iseas, Mariano Golubicki, Ezequiel Lacunza +7
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textSurgery & anaesthesiaCrossref
  2. Blood transcriptomic signature associated with hypertension in females across two human cohorts
    C. Yang, J. Lu, T. Pretorius +2
    medRxivPreprintAll rights reservedFull textCardiovascular medicinemedRxiv
  3. An Oxidative Stress-Associated Seven-Gene Prognostic Signature in Lung Adenocarcinoma: Integrative Transcriptomic Analysis Across Public Cohorts
    X. Zhou, Z. Le, P. Song +6
    bioRxivPreprintAll rights reservedFull textOncologybioRxiv
  4. Longitudinal Transcriptomic Analysis Identifies Persistent Immune-Related Signature Associated With Restrictive Left Ventricular Filling Patterns After Heart Transplantation
    Kosuke Takahari, Tatsuya Shiraki, Hidetaka Kioka +14
    Circulation JournalPeer-reviewedCC BY-NC-NDFull text3 citedSurgery & anaesthesiaJ-STAGE
  5. A mucosal barrier injury related six gene transcriptomic signature associated with ulcerative colitis using machine learning and public transcriptomic data
    Sen He, Pingliang Sun, Xiaoxin Duan
    PLOS OnePeer-reviewedCC BYFull textMolecular biology & gene regulationBioinformatics & computational biologyPLOSEurope PMCPMC
BibTeX
@misc{park2026primary,
  title = {{Primary tumor transcriptomic signature is associated with locoregional dissemination in canine mammary carcinoma}},
  author = {J.-H. Park and J.-Y. Choi and S.-H. Kim and K.-H. Song and S.-K. Kim and K.-W. Seo},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.10.750581},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.10.750581v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Primary tumor transcriptomic signature is associated with locoregional dissemination in canine mammary carcinoma
AU  - J.-H. Park
AU  - J.-Y. Choi
AU  - S.-H. Kim
AU  - K.-H. Song
AU  - S.-K. Kim
AU  - K.-W. Seo
PY  - 2026
DA  - 2026/09/10
PB  - bioRxiv
DO  - 10.64898/2026.09.10.750581
UR  - https://www.biorxiv.org/content/10.64898/2026.09.10.750581v1
AB  - Canine mammary carcinoma (CMC) exhibits heterogeneous metastatic behavior, while accurate assessment of locoregional dissemination may be limited by incomplete sampling, occult metastasis, and variable sentinel lymph node anatomy. We investigated whether primary-tumor transcriptomic programs are associated with locoregional dissemination. The training cohort comprised 113 CMC RNA sequencing samples classified by peritumoral lymphatic vessel invasion, and the independent evaluation cohort comprised 27 microarray samples classified by histopathologically confirmed lymph node (LN) metastasis. Expression profiles were mapped to human ortholog gene symbols, and single-sample gene set enrichment analysis (ssGSEA) was performed using Molecular Signatures Database (MSigDB) gene sets. Seven candidate gene sets selected through univariable screening and literature-guided curation were entered into least absolute shrinkage and selection operator (LASSO) logistic regression, yielding a four-gene-set transcriptomic risk score (RS). The RS showed an apparent receiver operating characteristic area under the curve (ROC-AUC) of 0.949 (95% confidence interval, 0.906-0.993) and precision-recall area under the curve (PR-AUC) of 0.725 in the training cohort; bootstrap internal validation yielded an optimism-corrected ROC-AUC of 0.920. In the evaluation cohort, the ROC-AUC was 0.890 (95% confidence interval, 0.766-1.000) and PR-AUC was 0.869. Discrimination was attenuated but retained in histologically restricted sensitivity analyses, and higher RS remained associated with locoregional dissemination after clinicopathologic adjustment. These findings support gene-set-level transcriptomic scoring as a potential complementary approach for characterizing dissemination-associated primary-tumor states in CMC.
ER  -