Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 May 18;16(1):801.
doi: 10.1007/s12672-025-02654-5.

Exploring the causal relationship between immune factors and chondrosarcoma: a Mendelian randomization study

Affiliations

Exploring the causal relationship between immune factors and chondrosarcoma: a Mendelian randomization study

Taichuan Xu et al. Discov Oncol. .

Abstract

Background: Previous studies have investigated the potential role of immune factors in chondrosarcoma (CHS). However, the causal relationship is unknown.

Methods: A two-sample Mendelian randomization (MR) was used to explore potential correlations between 731 immunocyte phenotypes, 91 inflammatory proteins, and CHS. The data were derived from published summary statistics of genome-wide association studies. Inverse-variance weighted was employed as the primary method. Furthermore, a range of analytical methods, including MR-Egger, weighted mode, and weighted median was used to enhance the robustness of the results. A two-step MR was used to assess the mediating effects of inflammatory proteins. Subsequently, sensitivity and MR Steiger directionality tests were performed.

Results: MR analyses showed that 12 immunocyte phenotypes were positively correlated with CHS (P < 0.05, OR > 1), and 11 immunocyte phenotypes were negatively correlated with CHS (P < 0.05, OR < 1). Five inflammatory proteins were positively associated with CHS (P < 0.05, OR > 1). No heterogeneous or horizontal pleiotropy was found. The MR Steiger analysis found no statistically significant evidence of reverse causation. Mediation analysis did not identify any potential mediating effects.

Conclusion: Our study underscores the pivotal role of immune factors in CHS and offers insights that can inform future research.

Keywords: Chondrosarcoma; Immune trait; Inflammatory proteins; Mendelian randomization.

PubMed Disclaimer

Conflict of interest statement

Declarations. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The workflow of this study
Fig. 2
Fig. 2
Forest plot of causal effects for immune traits on CHS. CHS, chondrosarcoma; IVW, inverse-variance weighted
Fig. 3
Fig. 3
Scatter plot of causal effects for immune traits on CHS. A CD38 on IgD- CD38dim on CHS, B IgD- CD38- %B cell on CHS, C CD38 on CD20- on CHS, D CD11c + CD62L- monocyte AC on CHS, E CD86 + myeloid DC %DC on CHS, F CD19 on PB/PC on CHS, G CM CD4 + %CD4 + on CHS, H CCR2 on monocyte on CHS, I Monocyte AC on CHS, J CD24 on IgD + CD24 + on CHS, K CD28- DN (CD4-CD8-) %T cell on CHS, L CD33dim HLA DR + CD11b + AC on CHS
Fig. 4
Fig. 4
Scatter plot of causal effects for immune traits on CHS. A HLA DR +  + monocyte AC on CHS, B IgD + %B cell on CHS, C Naive-mature B cell %B cell on CHS, D CD45 on Mo MDSC on CHS, E CD20 on IgD + CD38- naïve on CHS, F HLA DR on HLA DR + T cell on CHS, G Memory B cell %B cell on CHS, H CD20- CD38- %lymphocyte on CHS, I Sw mem %B cell on CHS, J CD11b on Gr MDSC on CHS, K CD80 on CD62L + myeloid DC on CHS
Fig. 5
Fig. 5
Forest plot of causal effects for inflammatory proteins on CHS
Fig. 6
Fig. 6
Scatter plot of causal effects for inflammatory proteins on CHS. A Monocyte chemoattractant protein-1 levels on CHS, B Leukemia inhibitory factor receptor levels on CHS, C Neurotrophin-3 levels on CHS, D Interleukin-24 levels on CHS, E C–C motif chemokine 23 levels on CHS

Similar articles

References

    1. Duan H, Li J, Ma J, Chen T, Zhang H, Shang G. Global research development of chondrosarcoma from 2003 to 2022: a bibliometric analysis. Front Pharmacol. 2024. 10.3389/fphar.2024.1431958. - PMC - PubMed
    1. Nazeri E, Gouran Savadkoohi M, Majidzadeh-A K, Esmaeili R. Chondrosarcoma: an overview of clinical behavior, molecular mechanisms mediated drug resistance and potential therapeutic targets. Crit Rev Oncol Hematol. 2018;131:102–9. 10.1016/j.critrevonc.2018.09.001. - PubMed
    1. Giuffrida AY, Burgueno JE, Koniaris LG, Gutierrez JC, Duncan R, Scully SP. Chondrosarcoma in the United States (1973 to 2003): an analysis of 2890 cases from the SEER database. J Bone Joint Surg Am. 2009;91(5):1063–72. 10.2106/JBJS.H.00416. - PubMed
    1. Thorkildsen J, Taksdal I, Bjerkehagen B, Haugland HK, Børge Johannesen T, Viset T, et al. Chondrosarcoma in Norway 1990–2013; an epidemiological and prognostic observational study of a complete national cohort. Acta Oncol. 2019;58(3):273–82. 10.1080/0284186X.2018.1554260. - PubMed
    1. van Praag Veroniek VM, Rueten-Budde AJ, Ho V, Dijkstra PDS, Fiocco M, et al. Incidence, outcomes and prognostic factors during years of treatment of chondrosarcomas. Surg Oncol. 2018;27(3):402–8. 10.1016/j.suronc.2018.05.009. - PubMed

LinkOut - more resources