» Articles » PMID: 31504112

Relative Contribution of Clinicopathological Variables, Genomic Markers, Transcriptomic Subtyping and Microenvironment Features for Outcome Prediction in Stage II/III Colorectal Cancer

Overview
Journal Ann Oncol
Publisher Elsevier
Specialty Oncology
Date 2019 Sep 11
PMID 31504112
Citations 134
Authors
Affiliations
Soon will be listed here.
Abstract

Background: It remains unknown to what extent consensus molecular subtype (CMS) groups and immune-stromal infiltration patterns improve our ability to predict outcomes over tumor-node-metastasis (TNM) staging and microsatellite instability (MSI) status in early-stage colorectal cancer (CRC).

Patients And Methods: We carried out a comprehensive retrospective biomarker analysis of prognostic markers in adjuvant chemotherapy-untreated (N = 1656) and treated (N = 980), stage II (N = 1799) and III (N = 837) CRCs. We defined CMS scores and estimated CD8+ cytotoxic lymphocytes (CytoLym) and cancer-associated fibroblasts (CAF) infiltration scores from bulk tumor tissue transcriptomes (CMSclassifier and MCPcounter R packages); constructed a stratified multivariable Cox model for disease-free survival (DFS); and calculated the relative proportion of explained variation by each marker (clinicopathological [ClinPath], genomics [Gen: MSI, BRAF and KRAS mutations], CMS scores [CMS] and microenvironment cells [MicroCells: CytoLym+CAF]).

Results: In multivariable models, only ClinPath and MicroCells remained significant prognostic factors, with both CytoLym and CAF infiltration scores improving survival prediction beyond other markers. The explained variation for DFS models of ClinPath, MicroCells, Gen markers and CMS4 scores was 77%, 14%, 5.3% and 3.7%, respectively, in stage II; and 55.9%, 35.1%, 4.1% and 0.9%, respectively, in stage III. Patients whose tumors were CytoLym high/CAF low had better DFS than other strata [HR=0.71 (0.6-0.9); P = 0.004]. Microsatellite stable tumors had the strongest signal for improved outcomes with CytoLym high scores (interaction P = 0.04) and the poor prognosis linked to high CAF scores was limited to stage III disease (interaction P = 0.04).

Conclusions: Our results confirm that tumor microenvironment infiltration patterns represent potent determinants of the risk for distant dissemination in early-stage CRC. Multivariable models suggest that the prognostic value of MSI and CMS groups is largely explained by CytoLym and CAF infiltration patterns.

Citing Articles

Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC.

Luo X, Li C, Qin G Hereditas. 2025; 162(1):17.

PMID: 39910672 PMC: 11800565. DOI: 10.1186/s41065-025-00380-0.


Tumor aggression-defense index-a novel indicator to predicts recurrence and survival in stage II-III colorectal cancer.

Wu T, Fang L, Ruan Y, Shi M, Su D, Ma Y J Transl Med. 2025; 23(1):107.

PMID: 39844178 PMC: 11755833. DOI: 10.1186/s12967-025-06141-x.


Effect of colorectal cancer stem cells on the development and metastasis of colorectal cancer.

Deng R, Zheng X, Lu Z, Yuan M, Meng Q, Wu T World J Gastrointest Oncol. 2024; 16(11):4354-4368.

PMID: 39554751 PMC: 11551631. DOI: 10.4251/wjgo.v16.i11.4354.


Coagulation-related genes for thyroid cancer prognosis, immune infltration, staging, and drug sensitivity.

Sun Y, Zhang Y, Yang Y, Liu W, Yin D Front Immunol. 2024; 15:1462755.

PMID: 39497824 PMC: 11532168. DOI: 10.3389/fimmu.2024.1462755.


Immunotherapy for colorectal cancer.

Yu B, Kang J, Lei H, Li Z, Yang H, Zhang M Front Immunol. 2024; 15:1433315.

PMID: 39238638 PMC: 11375682. DOI: 10.3389/fimmu.2024.1433315.


References
1.
Berdiel-Acer M, Berenguer A, Sanz-Pamplona R, Cuadras D, Sanjuan X, Paules M . A 5-gene classifier from the carcinoma-associated fibroblast transcriptomic profile and clinical outcome in colorectal cancer. Oncotarget. 2014; 5(15):6437-52. PMC: 4171642. DOI: 10.18632/oncotarget.2237. View

2.
Bauer K, Nelius N, Reuschenbach M, Koch M, Weitz J, Steinert G . T cell responses against microsatellite instability-induced frameshift peptides and influence of regulatory T cells in colorectal cancer. Cancer Immunol Immunother. 2012; 62(1):27-37. PMC: 11029741. DOI: 10.1007/s00262-012-1303-8. View

3.
Roepman P, Schlicker A, Tabernero J, Majewski I, Tian S, Moreno V . Colorectal cancer intrinsic subtypes predict chemotherapy benefit, deficient mismatch repair and epithelial-to-mesenchymal transition. Int J Cancer. 2013; 134(3):552-62. PMC: 4234005. DOI: 10.1002/ijc.28387. View

4.
Dasari A, Grothey A, Kopetz S . Circulating Tumor DNA-Defined Minimal Residual Disease in Solid Tumors: Opportunities to Accelerate the Development of Adjuvant Therapies. J Clin Oncol. 2018; :JCO2018789032. PMC: 6286158. DOI: 10.1200/JCO.2018.78.9032. View

5.
Mlecnik B, Tosolini M, Kirilovsky A, Berger A, Bindea G, Meatchi T . Histopathologic-based prognostic factors of colorectal cancers are associated with the state of the local immune reaction. J Clin Oncol. 2011; 29(6):610-8. DOI: 10.1200/JCO.2010.30.5425. View