Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 12 min ago
Peer-reviewedCC BY-NC-ND 4.0Cancer Medicine

A Histology‐Derived Score Integrating Tumor–Stroma Ratio, Tertiary Lymphoid Structures, and Tumor Budding Improves Prognostic Stratification in Colorectal Cancer

  1. 1Graduate School Bengbu Medical University Bengbu Anhui People's Republic of China
  2. 2Department of Pathology Anqing Municipal Hospital, Anqing Hospital Affiliated to China Pharmaceutical University Anqing Anhui People's Republic of China
  3. 3Department of General Surgery Anqing Municipal Hospital, Anqing Hospital Affiliated to China Pharmaceutical University Anqing Anhui People's Republic of China

Abstract

Objective: To evaluate a histology‐derived score (HDS) integrating tumor–stroma ratio (TSR), tertiary lymphoid structures (TLS), and tumor budding (TB) for prognostic stratification in colorectal cancer (CRC) and assess its incremental prognostic value.

Methods: A total of 559 patients with CRC were retrospectively enrolled and randomly split 7:3 into a training cohort (n = 392) and an internal validation cohort (n = 167). TSR, TLS, and TB were assessed on hematoxylin and eosin (H&E)‐stained sections to construct the HDS, with predefined low‐ (3–4), intermediate‐ (5–6), and high‐risk (7–8) groups. Independent prognostic factors were identified using multivariable Cox regression and incorporated into a nomogram. The incremental prognostic value of HDS was assessed by comparing nested models using the concordance index (C‐index), likelihood‐ratio test (LRT), net reclassification improvement (NRI), and integrated discrimination improvement (IDI).

Results: Multivariable Cox regression identified HDS (HDShigh vs. HDSlow: HR = 3.10, 95% CI: 1.75–5.47, p < 0.001), TNM stage (III vs. I: HR = 3.26, 95% CI: 1.49–7.12, p < 0.001), and lymphovascular invasion (LVI) (yes vs. no: HR = 1.70, 95% CI: 1.09–2.64, p = 0.020) as independent prognostic factors for disease‐free survival (DFS). Adding HDS to TNM + LVI increased the C‐index from 0.709 to 0.738 in the training cohort (LRT, p < 0.001; NRI = 0.454, p = 0.012; IDI = 0.050, p < 0.001) and from 0.655 to 0.669 in the internal validation cohort (LRT, p = 0.033; NRI = 0.313, p = 0.148; IDI = 0.029, p = 0.044). The nomogram showed good discrimination, calibration, and clinical utility in both cohorts.

Conclusions: HDS provided incremental prognostic information beyond TNM stage and LVI in CRC. The HDS‐based nomogram may facilitate individualized prognostic assessment, although external multicenter validation is required.

Related

  1. Identification of Candidate Partner Cells in Tumor–Stromal Interactions by Histology-Based Spatial Analysis for Prognostic Stratification After Neoadjuvant Chemotherapy
    Naing Ye Aung, Takanobu Kabasawa, Yuki Hamada +2
    CancersPeer-reviewedCC BY 4.0OncologyCrossref
  2. Toward Precision Colorectal Cancer Screening: Integrating Clinical Risk Stratification, Molecular Biomarkers, and Artificial Intelligence
    Sorinel Lunca, Stefan Morarasu, Gabriel Mihail Dimofte
    Medicina (Kaunas, Lithuania)Peer-reviewedCC BYFull textGeneral medicineEurope PMC
  3. An immunogenic cell death-related classification for prognostic stratification and immunotherapy response prediction in proficient mismatch repair/microsatellite stable colorectal cancer.
    Jia He, Jinxiu Qu, Yuan Zhao +5
    Journal of gastrointestinal oncologyPeer-reviewedCC BY-NC-NDFull textOncologyEurope PMC
  4. Comparative and Histology-Aware Bioinformatic Characterization of FAM171A1 and FAM171A2 in Sarcoma: Expression, Prognostic, and Immune Associations
    Gonul Seyda Seydel, Durmus Ayan
    BiomedicinesPeer-reviewedCC BYFull textGeneral medicineEurope PMC
  5. Histology-Stratified Clinical and Prognostic Associations of PDCD-Related Genes in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma.
    Seong-Tae Kim, Yunha Lee, Se-Young Yun +8
    GenesPeer-reviewedCC BYFull textOncologyEurope PMC
BibTeX
@article{tian2026histologyderived,
  title = {{A Histology‐Derived Score Integrating Tumor–Stroma Ratio, Tertiary Lymphoid Structures, and Tumor Budding Improves Prognostic Stratification in Colorectal Cancer}},
  author = {Meng Tian and Jianwei Yuan and Quanquan Hu and Lanlan Xuan},
  journal = {Cancer Medicine},
  year = {2026},
  month = nov,
  doi = {10.1002/cam4.72495},
  url = {https://doi.org/10.1002/cam4.72495},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - A Histology‐Derived Score Integrating Tumor–Stroma Ratio, Tertiary Lymphoid Structures, and Tumor Budding Improves Prognostic Stratification in Colorectal Cancer
AU  - Meng Tian
AU  - Jianwei Yuan
AU  - Quanquan Hu
AU  - Lanlan Xuan
PY  - 2026
DA  - 2026/11/05
JO  - Cancer Medicine
DO  - 10.1002/cam4.72495
UR  - https://doi.org/10.1002/cam4.72495
AB  - Objective: To evaluate a histology‐derived score (HDS) integrating tumor–stroma ratio (TSR), tertiary lymphoid structures (TLS), and tumor budding (TB) for prognostic stratification in colorectal cancer (CRC) and assess its incremental prognostic value.  Methods: A total of 559 patients with CRC were retrospectively enrolled and randomly split 7:3 into a training cohort (n = 392) and an internal validation cohort (n = 167). TSR, TLS, and TB were assessed on hematoxylin and eosin (H&E)‐stained sections to construct the HDS, with predefined low‐ (3–4), intermediate‐ (5–6), and high‐risk (7–8) groups. Independent prognostic factors were identified using multivariable Cox regression and incorporated into a nomogram. The incremental prognostic value of HDS was assessed by comparing nested models using the concordance index (C‐index), likelihood‐ratio test (LRT), net reclassification improvement (NRI), and integrated discrimination improvement (IDI).  Results: Multivariable Cox regression identified HDS (HDShigh vs. HDSlow: HR = 3.10, 95% CI: 1.75–5.47, p < 0.001), TNM stage (III vs. I: HR = 3.26, 95% CI: 1.49–7.12, p < 0.001), and lymphovascular invasion (LVI) (yes vs. no: HR = 1.70, 95% CI: 1.09–2.64, p = 0.020) as independent prognostic factors for disease‐free survival (DFS). Adding HDS to TNM + LVI increased the C‐index from 0.709 to 0.738 in the training cohort (LRT, p < 0.001; NRI = 0.454, p = 0.012; IDI = 0.050, p < 0.001) and from 0.655 to 0.669 in the internal validation cohort (LRT, p = 0.033; NRI = 0.313, p = 0.148; IDI = 0.029, p = 0.044). The nomogram showed good discrimination, calibration, and clinical utility in both cohorts.  Conclusions: HDS provided incremental prognostic information beyond TNM stage and LVI in CRC. The HDS‐based nomogram may facilitate individualized prognostic assessment, although external multicenter validation is required.
SN  - 2045-7634
ER  -