Juha P. Väyrynen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Juha P. Väyrynen has a total of 533 co-authors. Here are the top co-authors by number of shared publications:
- Anne Tuomisto
Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, and University of Oulu, Oulu, Finland
70 shared publications - Markus J. Mäkinen
Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, and University of Oulu, Oulu, Finland
60 shared publications - Jonathan Andrew Nowak
Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
45 shared publications - Päivi Sirniö
Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, and University of Oulu, Oulu, Finland
45 shared publications - Ville K. Äijälä
Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, and University of Oulu
45 shared publications - Meeri Kastinen
Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, and University of Oulu, Oulu, Finland
43 shared publications
Latest Publications
- Open Access
- 25 September 2026
- Published by American Association for the Advancement of Science (AAAS) in Science Advances
- Vol. 12 (39)
RNF43 p.G659fs leads to natural killer cell dysfunction in MSI-high colorectal cancer through PI3K/AKT/mTOR signaling and HLA-E up-regulation
The RNF43 p.G659fs ( RNF43 659mut ) mutation occurs in 8% of colorectal cancers (CRCs) and is enriched in microsatellite instability–high (MSI-H) tumors. Although RNF43 659mut promotes tumor growth through phosphatidylinositol 3-kinase/protein kinase B/mechanistic target of rapamycin (PI3K/AKT/mTOR) activation independent of WNT signaling, its immunologic effects are poorly defined. We show that RNF43 659mut shapes an immunosuppressive natural killer (NK) cell landscape in MSI-H CRC. Single-cell RNA sequencing and multiplex immunohistochemistry revealed increased NK cell infiltration in RNF43 659mut tumors, yet these cells displayed inhibitory phenotypes. Bulk RNA sequencing and flow cytometry of NK cells cocultured with RNF43 659mut isogenic lines and MSI-H patient-derived organoids demonstrated reduced functional NK subsets, decreased activation markers, increased inhibitory receptors, and impaired cytotoxicity. Mechanistically, RNF43 659mut -mediated PI3K/AKT activation induced HLA-E expression, suppressing NK cell function. Pharmacological or small interfering RNA–mediated PI3K/AKT inhibition restored NK cell activity and enhanced tumor cell killing. Spatial analysis of MSI-H patient tumors revealed close proximity between NKG2A + NK cells and HLA-E + tumor cells, which were themselves adjacent to PI3K/AKT-activated tumor cells, highlighting a localized immunosuppressive niche. These findings uncover an immune evasion mechanism in MSI-H CRC, implicating the PI3K/AKT-HLA-E/NKG2A axis as a promising therapeutic target to overcome immunotherapy resistance.
- 25 September 2026
- Published by American Association for the Advancement of Science (AAAS) in Science Advances
- Vol. 12 (39)
Open AccessRNF43 p.G659fs leads to natural killer cell dysfunction in MSI-high colorectal cancer through PI3K/AKT/mTOR signaling and HLA-E up-regulation
The RNF43 p.G659fs ( RNF43 659mut ) mutation occurs in 8% of colorectal cancers (CRCs) and is enriched in microsatellite instability–high (MSI-H) tumors. Although RNF43 659mut promotes tumor growth through phosphatidylinositol 3-kinase/protein kinase B/mechanistic target of rapamycin (PI3K/AKT/mTOR) activation independent of WNT signaling, its immunologic effects are poorly defined. We show that RNF43 659mut shapes an immunosuppressive natural killer (NK) cell landscape in MSI-H CRC. Single-cell RNA sequencing and multiplex immunohistochemistry revealed increased NK cell infiltration in RNF43 659mut tumors, yet these cells displayed inhibitory phenotypes. Bulk RNA sequencing and flow cytometry of NK cells cocultured with RNF43 659mut isogenic lines and MSI-H patient-derived organoids demonstrated reduced functional NK subsets, decreased activation markers, increased inhibitory receptors, and impaired cytotoxicity. Mechanistically, RNF43 659mut -mediated PI3K/AKT activation induced HLA-E expression, suppressing NK cell function. Pharmacological or small interfering RNA–mediated PI3K/AKT inhibition restored NK cell activity and enhanced tumor cell killing. Spatial analysis of MSI-H patient tumors revealed close proximity between NKG2A + NK cells and HLA-E + tumor cells, which were themselves adjacent to PI3K/AKT-activated tumor cells, highlighting a localized immunosuppressive niche. These findings uncover an immune evasion mechanism in MSI-H CRC, implicating the PI3K/AKT-HLA-E/NKG2A axis as a promising therapeutic target to overcome immunotherapy resistance.
- 24 September 2026
- Published by Oxford University Press (OUP) in JNCI: Journal of the National Cancer Institute
Physical activity and molecular residual disease in stage III colon cancer: findings from Cancer and Leukemia Group B (Alliance)/SWOG 80702
Background: Postoperative circulating tumor DNA (ctDNA) is a highly prognostic marker of residual disease among patients with stage III colon cancer, and physical activity has been associated with improved survival after curative resection. Whether physical activity predicts outcomes according to postoperative ctDNA status remains unknown. Methods: We conducted a post hoc analysis of Cancer and Leukemia Group B/SWOG 80702, a phase III study evaluating adjuvant celecoxib vs placebo and 3 vs 6 months of chemotherapy. Total physical activity volume was assessed using validated questionnaires and quantified in metabolic equivalent task hours per week (MET-h/week). Circulating tumor DNA status was determined using a clinically validated, tumor-informed assay (Signatera, Natera, Inc.). Results: Among 763 patients (median follow-up = 6.0 years), 32.3% were inactive ( .05 for all), though interactions were not statistically significant. Among patients who were physically active (≥9.0 MET-h/week) and received adjuvant celecoxib, improved DFS was observed in ctDNA-negative (HR = 0.41, 95% CI = 0.22 to 0.77) and ctDNA-positive (referent: inactive, placebo; HR = 0.29, 95% CI = 0.15 to 0.57) subgroups. Conclusions: Greater physical activity was associated with improved DFS among patients who were ctDNA-negative. Physical activity and adjuvant celecoxib were associated with favorable survival outcomes regardless of ctDNA status. Trial identifier: ClinicalTrials.gov NCT01150045
- 24 September 2026
- Published by Oxford University Press (OUP) in JNCI: Journal of the National Cancer Institute
Physical activity and molecular residual disease in stage III colon cancer: findings from Cancer and Leukemia Group B (Alliance)/SWOG 80702
Background: Postoperative circulating tumor DNA (ctDNA) is a highly prognostic marker of residual disease among patients with stage III colon cancer, and physical activity has been associated with improved survival after curative resection. Whether physical activity predicts outcomes according to postoperative ctDNA status remains unknown. Methods: We conducted a post hoc analysis of Cancer and Leukemia Group B/SWOG 80702, a phase III study evaluating adjuvant celecoxib vs placebo and 3 vs 6 months of chemotherapy. Total physical activity volume was assessed using validated questionnaires and quantified in metabolic equivalent task hours per week (MET-h/week). Circulating tumor DNA status was determined using a clinically validated, tumor-informed assay (Signatera, Natera, Inc.). Results: Among 763 patients (median follow-up = 6.0 years), 32.3% were inactive ( .05 for all), though interactions were not statistically significant. Among patients who were physically active (≥9.0 MET-h/week) and received adjuvant celecoxib, improved DFS was observed in ctDNA-negative (HR = 0.41, 95% CI = 0.22 to 0.77) and ctDNA-positive (referent: inactive, placebo; HR = 0.29, 95% CI = 0.15 to 0.57) subgroups. Conclusions: Greater physical activity was associated with improved DFS among patients who were ctDNA-negative. Physical activity and adjuvant celecoxib were associated with favorable survival outcomes regardless of ctDNA status. Trial identifier: ClinicalTrials.gov NCT01150045
- Open Access
- 25 August 2026
- Published by Wolters Kluwer Health in American Journal of Surgical Pathology
- Vol. 50 (11) , 1333-1341
The Tumor Microenvironment Score and Its Subsite-Specific Relevance in Colon Cancer
Colon cancer is a major global malignancy with significant mortality. Right-sided (RCC) and left-sided colon cancers (LCC) exhibit distinct clinicopathological characteristics. Tumor microenvironment score (TMS) combines Klintrup-Mäkinen grade, tumor stroma percentage, and tumor budding, classifying cases into 4 groups (TMS 0-3). Evaluation of TMS is an integrative method for prognostic classification; however, further validation is needed, and differences between RCC and LCC remain unclear. A discovery cohort (n=940) and a validation cohort (n=613) were retrospectively included. TMS was evaluated from hematoxylin-eosin-stained slides. Five-year disease-specific survival (DSS) was analyzed using life-table methods and Cox regression. Associations with clinicopathological variables were assessed. In both the discovery and validation cohorts, higher TMS was associated with worse 5-year DSS in univariable analyses for both RCC and LCC. In multivariable analysis, high TMS (TMS3 vs. TMS0) remained independently associated with survival in the discovery cohort (RCC—HR: 2.47, 95% CI: 1.36-4.46, P =0.003; LCC—HR: 3.08, 95% CI: 1.46-6.45, P =0.003). In the validation cohort, the prognostic impact of TMS was more pronounced in RCC (HR: 4.35, 95% CI: 2.32-8.14, P P =0.12). TMS also appeared to provide improved prognostic stratification compared with the Glasgow microenvironment score (combination of Klintrup-Mäkinen grade and tumor stroma percentage). In conclusion, TMS serves as an integrative histopathological marker with potential to improve prognostic stratification in colon cancer, particularly in right-sided tumors.
- 25 August 2026
- Published by Wolters Kluwer Health in American Journal of Surgical Pathology
- Vol. 50 (11) , 1333-1341
Open AccessThe Tumor Microenvironment Score and Its Subsite-Specific Relevance in Colon Cancer
Colon cancer is a major global malignancy with significant mortality. Right-sided (RCC) and left-sided colon cancers (LCC) exhibit distinct clinicopathological characteristics. Tumor microenvironment score (TMS) combines Klintrup-Mäkinen grade, tumor stroma percentage, and tumor budding, classifying cases into 4 groups (TMS 0-3). Evaluation of TMS is an integrative method for prognostic classification; however, further validation is needed, and differences between RCC and LCC remain unclear. A discovery cohort (n=940) and a validation cohort (n=613) were retrospectively included. TMS was evaluated from hematoxylin-eosin-stained slides. Five-year disease-specific survival (DSS) was analyzed using life-table methods and Cox regression. Associations with clinicopathological variables were assessed. In both the discovery and validation cohorts, higher TMS was associated with worse 5-year DSS in univariable analyses for both RCC and LCC. In multivariable analysis, high TMS (TMS3 vs. TMS0) remained independently associated with survival in the discovery cohort (RCC—HR: 2.47, 95% CI: 1.36-4.46, P =0.003; LCC—HR: 3.08, 95% CI: 1.46-6.45, P =0.003). In the validation cohort, the prognostic impact of TMS was more pronounced in RCC (HR: 4.35, 95% CI: 2.32-8.14, P P =0.12). TMS also appeared to provide improved prognostic stratification compared with the Glasgow microenvironment score (combination of Klintrup-Mäkinen grade and tumor stroma percentage). In conclusion, TMS serves as an integrative histopathological marker with potential to improve prognostic stratification in colon cancer, particularly in right-sided tumors.
- Open Access
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S2 from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Supplementary Figure S2. Cutpoint selection plots for SMI and SMD
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S2 from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Supplementary Figure S2. Cutpoint selection plots for SMI and SMD
- Open Access
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Data from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Background:Low skeletal muscle index (SMI) and skeletal muscle density (SMD) are associated with poor postoperative outcomes in colorectal cancer. However, standardized diagnostic thresholds remain undefined. Methods:In total, 927 patients with stage I to IV colorectal cancer were included. Preoperative computed tomography was used to determine body composition parameters. Optimal stratification was applied to identify the sex-specific and body mass index (BMI)–specific SMD and SMI cutoffs. SMD and SMI were analyzed as continuous variables relative to clinicopathologic features, systemic inflammatory markers, and sex-specific quartiles in survival analyses using Kaplan–Meier and Cox regression methods. Results:Optimal stratification did not yield reproducible cutoff values for SMI or SMD. In multivariable analysis, low SMD and SMI were associated with female sex, older age, and BMI, whereas tumor-related factors were not associated with either measure. Low SMD was associated with systemic inflammation, including elevated circulating C-reactive protein and interleukin 6 (IL6) levels, whereas low SMI showed only a nominal association with elevated IL6 levels after adjustment. Low SMD independently predicted poorer cancer-specific survival [multivariable hazard ratio (HR) for lowest vs. highest SMD = 4.29; 95% confidence interval (CI), 1.86–9.91; P = 0.001] and overall survival (HR for lowest vs. highest SMD = 3.42; 95% CI, 1.62–7.25; P = 0.003) in women but not in men, whereas SMI was not associated with survival. Conclusions:Low SMD is a sex-specific prognostic factor. Incorporating SMD assessment into preoperative risk stratification may enhance individualized management, particularly for female patients. Impact:Survival-based cutoff values for SMD or SMI in colorectal cancer could not be established. Moreover, preoperative body composition reflects patient-related factors rather than tumor-induced changes.
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Open AccessData from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Background:Low skeletal muscle index (SMI) and skeletal muscle density (SMD) are associated with poor postoperative outcomes in colorectal cancer. However, standardized diagnostic thresholds remain undefined. Methods:In total, 927 patients with stage I to IV colorectal cancer were included. Preoperative computed tomography was used to determine body composition parameters. Optimal stratification was applied to identify the sex-specific and body mass index (BMI)–specific SMD and SMI cutoffs. SMD and SMI were analyzed as continuous variables relative to clinicopathologic features, systemic inflammatory markers, and sex-specific quartiles in survival analyses using Kaplan–Meier and Cox regression methods. Results:Optimal stratification did not yield reproducible cutoff values for SMI or SMD. In multivariable analysis, low SMD and SMI were associated with female sex, older age, and BMI, whereas tumor-related factors were not associated with either measure. Low SMD was associated with systemic inflammation, including elevated circulating C-reactive protein and interleukin 6 (IL6) levels, whereas low SMI showed only a nominal association with elevated IL6 levels after adjustment. Low SMD independently predicted poorer cancer-specific survival [multivariable hazard ratio (HR) for lowest vs. highest SMD = 4.29; 95% confidence interval (CI), 1.86–9.91; P = 0.001] and overall survival (HR for lowest vs. highest SMD = 3.42; 95% CI, 1.62–7.25; P = 0.003) in women but not in men, whereas SMI was not associated with survival. Conclusions:Low SMD is a sex-specific prognostic factor. Incorporating SMD assessment into preoperative risk stratification may enhance individualized management, particularly for female patients. Impact:Survival-based cutoff values for SMD or SMI in colorectal cancer could not be established. Moreover, preoperative body composition reflects patient-related factors rather than tumor-induced changes.
- Open Access
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S7 from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Supplementary Table S7. Multivariable Cox regression models for CSS, all variables, stages I-III
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S7 from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Supplementary Table S7. Multivariable Cox regression models for CSS, all variables, stages I-III
- Open Access
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S1 from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Figure S1 illustrates the patient selection process for the study
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S1 from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Figure S1 illustrates the patient selection process for the study
- Open Access
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S2 from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Supplementary Table S2. Correlations between SMD/SMI and circulating inflammatory factors
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S2 from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Supplementary Table S2. Correlations between SMD/SMI and circulating inflammatory factors
- Open Access
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S3 from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Supplementary Table S3. Sex-specific quartiles for SMI and SMD.
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S3 from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Supplementary Table S3. Sex-specific quartiles for SMI and SMD.
- Open Access
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table S5 from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Supplementary Table S5. Multivariable Cox regression models for OS, all variables
- 3 August 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table S5 from Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors
Supplementary Table S5. Multivariable Cox regression models for OS, all variables