Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 41454575

Impact of stromal maturity and proportion on prognosis and immune landscape in colorectal cancer.

Vilja V Tapiainen·Päivi Sirniö·Henna Karjalainen·Ville K Äijälä·Meeri Kastinen·Vesa-Matti Pohjanen·Hanna Elomaa·Onni Sirkiä·Maarit Ahtiainen·Olli Helminen·Erkki-Ville Wirta·Outi Lindgren·Taneli T Mattila·Jukka Rintala·Sanna Meriläinen·Juha Saarnio·Tero Rautio·Toni T Seppälä·Jan Böhm·Jukka-Pekka Mecklin·Anne Tuomisto·Markus J Mäkinen·Juha P Väyrynen
View original source ↗Export metadata ↓

Abstract

BACKGROUND: Tumour microenvironment and cancer cells have constant interaction affecting cancer progression. Tumour-stroma ratio (TSR) in the tumour centre and desmoplastic reaction (DR) classification at the invasive margin are prognostic factors based on stroma evaluation on H&E slides. However, their combined value and immunological associations remain poorly defined. This study examines the prognostic and immunological value of TSR, DR, and their combination in two large colorectal cancer cohorts. METHODS: Two colorectal cancer cohorts (N&#x2009;=&#x2009;1,876) were analyzed. We introduced a three-tiered Stromal Maturity and Proportion Score (SMAPS) based on the presence of high (>50%) TSR and myxoid stroma (immature DR classification). Alcian blue staining was used to further quantify myxoid stroma. Multiplex immunohistochemistry combined with digital image analyses, was utilized to study immune cell densities associated with SMAPS, TSR, DR, and Alcian blue intensity. RESULTS: In the study cohort (N&#x2009;=&#x2009;1,100), SMAPS was a stronger predictor of cancer-specific mortality [HR for high (vs. low) SMAPS 2.01 (95% CI 1.47-2.75), p&#x2009;<&#x2009;0.0001] compared to TSR [HR for stroma-high (vs. stroma-low) 1.49 (95% CI 1.15-1.93), p&#x2009;=&#x2009;0.003] and DR classification [HR for immature (vs. mature) 1.84 (95% CI 1.39-2.45), p&#x2009;<&#x2009;0.0001]. High SMAPS, stroma-high TSR, and immature DR correlated with lower densities of CD3+ T cells, B cells, M1-like macrophages, CD66B+ granulocytes, and mast cells. Alcian blue staining was associated with immature DR and corresponding immune cells. The validation cohort (N&#x2009;=&#x2009;776) confirmed the association of SMAPS with survival and T cell densities. CONCLUSIONS: TSR and DR are independent prognostic factors for cancer-specific survival. SMAPS is a promising prognostic tool that integrates stromal maturity at the invasive margin and stromal proportion in the tumour centre. SMAPS has stronger prognostic value compared to TSR and DR classifications alone. A high stromal proportion and myxoid content are associated with an immunosuppressive microenvironment characterized by lower densities of antitumourigenic immune cells.

Explore related subjects

HumansColorectal NeoplasmsPrognosisTumor MicroenvironmentFemaleMaleStromal CellsAgedMiddle AgedImmunohistochemistryCohort StudiesAged, 80 and overAlcian blue stainSMAPSTumour-stroma ratiocolorectal cancerdesmoplastic reactionimmune cellsJournal ArticleResearch Support, Non-U.S. Gov't

Keep this discovery

BibTeXRIS

Vilja V Tapiainen, P&#xe4;ivi Sirni&#xf6;, Henna Karjalainen, Ville K &#xc4;ij&#xe4;l&#xe4;, Meeri Kastinen, Vesa-Matti Pohjanen, Hanna Elomaa, Onni Sirki&#xe4;, Maarit Ahtiainen, Olli Helminen, Erkki-Ville Wirta, Outi Lindgren, Taneli T Mattila, Jukka Rintala, Sanna Meril&#xe4;inen, Juha Saarnio, Tero Rautio, Toni T Sepp&#xe4;l&#xe4;, Jan B&#xf6;hm, Jukka-Pekka Mecklin, Anne Tuomisto, Markus J M&#xe4;kinen, Juha P V&#xe4;yrynen. 2025-12-26. Impact of stromal maturity and proportion on prognosis and immune landscape in colorectal cancer.. https://doi.org/10.1080/07853890.2025.2606512

Cite the original work for its findings. Save a collection to share your selection of sources.

Discover connections

Aged subjectAged, 80 and over subjectCohort Studies subjectColorectal Neoplasms subjectFemale subjectHumans subjectImmunohistochemistry subjectJournal Article subjectJournal Article; Research Support, Non-U.S. Gov't resourceMale subjectMiddle Aged subject

Connections use source metadata and explicit phrase matches, not verified experimental comparisons.

KEEP EXPLORING

Related citations

PubMed2026

Novel environmental contaminant 6PPD-quinone promotes malignant phenotypes in colorectal cancer cells and identifies candidate response-associated genes.

6PPD-quinone (6PPDQ), an oxidative transformation product of the widely used tire antioxidant 6PPD, is a ubiquitous environmental contaminant with bioaccumulation potential and widespread human exposure. Recent epidemiological evidence indicates a positive association between urinary 6PPDQ levels and colorectal cancer (CRC) risk; however, its biological effects on CRC-related phenotypes and associated molecular responses remain unclear. We integrated bioinformatics analysis, prognostic modeling, molecular docking and dynamics simulations, and in vitro experiments to investigate cellular and molecular responses to 6PPDQ in CRC models. Predicted 6PPDQ targets were intersected with CRC prognosis-related genes from The Cancer Genome Atlas, followed by functional enrichment and LASSO regression to construct a prognostic risk model, with 1-, 3-, and 5-year AUC values of 0.727, 0.754, and 0.778, respectively. Molecular docking and 100-ns molecular dynamics simulations suggested interactions between 6PPDQ and candidate proteins, including CPT2, SHC2, SRMS, and STK35. Functional assays showed that 6PPDQ exposure altered proliferation, wound-closure capacity, and invasion in Caco-2 and HCT116&#x202f;cells across the nanomolar concentration range, with non-monotonic and cell-line-dependent responses. In contrast, NCM460&#x202f;cells showed no increase in EdU incorporation at 10 or 100&#x202f;nM, whereas reduced proliferation at higher concentrations was accompanied by increased LDH release. 6PPDQ also altered the expression of several prognosis-associated candidate genes. These findings identify cellular phenotypes and candidate molecular responses associated with 6PPDQ exposure under the tested in vitro conditions, but do not establish their causal roles or in vivo relevance. Further mechanistic and in vivo studies are required.

Humans↗
PubMed2026

Prognostic significance of NLRP-3 expression in solid cancers: a systematic review and meta-analysis.

BACKGROUND: The inflammasome is a critical immunological sensor comprised of NLRP-3, ASC, and CASPASE-1. Mutations in NLRP-3 are prevalent in inflammatory diseases. However, the role of NLRP-3 in cancer is controversial. This study investigates whether NLRP-3 expression is associated with clinical outcomes in patients with solid cancers. METHODS: PubMed (MEDLINE), Embase, Cochrane, and Google Scholar were searched for articles reporting NLRP-3 expression and disease outcome data in cancer patients. RevMan Review Manager was used to calculate pooled hazard ratios and Mantel-Haenszel pooled odds ratios. RNA sequencing datasets from the TCGA Pan-Cancer (PANCAN) were used for external validation. RESULTS: Patients with higher NLRP-3 expression showed a significant association with larger tumor size, advanced tumor grade, TNM stage, and presence of metastasis. High NLRP-3 expression has a significant association with poor OS (HR:2.12, 95% CI = 1.49-3.03), p&#x2009;<&#x2009;0.0001) and DFS (HR:1.86, 95% CI = 1.30- 2.65, p&#x2009;=&#x2009;0.0007). Subgroup analysis showed that higher NLRP-3 expression is associated with worse OS in head and neck cancer (HR: 2.77, 95% CI = 1.88-4.09, p&#x2009;<&#x2009;0.00001), colorectal cancers (HR:2.14, 95% CI= 1.59- 2.87, p&#x2009;<&#x2009;0.00001), and pancreatic cancer patients (HR: 3.19, 95% CI = 1.73-5.91, p&#x2009;=&#x2009;0.0002). CONCLUSION: High NLRP-3 expression is associated with advanced disease and poor outcomes in many solid tumours.

Humans↗
PubMed2026

Whole-Genome Deep Learning Predicts Chemotherapy Response in Colorectal Cancer.

Chemotherapy response in colorectal cancer (CRC) exhibits significant heterogeneity, with current clinical predictors failing to capture complex genomic determinants of resistance. We developed a hybrid deep learning framework integrating convolutional neural networks (CNNs) and bidirectional long short-term memory (BiLSTM) networks to analyze whole-genome somatic mutations, evolutionary conservation, chromatin accessibility, and 3D genome architecture in 2,546 TCGA patients. An attention mechanism identified predictive genomic regions. The model achieved an AUC of 0.92 (95% CI: 0.89-0.94) in cross-validation and 0.88 (95% CI: 0.85-0.91) in independent validation, outperforming clinical models (&#x394;AUC = +0.18, p < 0.001). Key predictors included non-coding variants in TP53, KRAS, and PIK3CA regulatory regions. Triple-positive patients (mutations in all 3 regions) had significantly worse progression-free survival (HR = 4.7, p < 0.001). Our framework enables accurate chemotherapy response prediction and reveals novel non-coding resistance mechanisms, advancing precision oncology in CRC.

Humans↗