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Bioinformatics analysis and experimental verification of NLRX1 as a prognostic factor for esophageal squamous cell carcinoma

  • Authors:
    • Lu Zhou
    • Lanlan Gan
    • Chen Sun
    • Alan Chu
    • Menglin Yang
    • Zongwen Liu
  • View Affiliations / Copyright

    Affiliations: Tumor Radiotherapy Department, The Second Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan 450000, P.R. China
    Copyright: © Zhou et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 264
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    Published online on: April 11, 2024
       https://doi.org/10.3892/ol.2024.14397
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Abstract

Nucleotide binding and oligomeric domain‑like receptor X1 (NLRX1), a member of the NLR family, is associated with the physiological and pathological processes of inflammation, autophagy, immunity, metabolism and mitochondrial regulation, and has been demonstrated to have pro‑ or antitumor effects in various tumor types. However, the biological function of NLRX1 in esophageal squamous cell carcinoma (ESCC) has remained elusive. In the present study, by using bioinformatics methods, the differential expression of NLRX1 at the mRNA level was examined. Overall survival, clinical correlation, receiver operating characteristic curve, Cox regression, co‑expression, enrichment, immune infiltration and drug sensitivity analyses were carried out. A nomogram and a calibration curve were constructed. Changes in protein expression levels were investigated by immunohistochemistry and western blotting. The impact of NLRX1 on i) cell proliferation was evaluated by Cell Counting Kit‑8 assays; ii) migration was examined by wound‑healing assays; iii) migration and invasion were evaluated by Transwell assays; and iv) apoptosis was assessed by Annexin V/PI staining and flow cytometry. The results revealed that, compared to normal adjacent tissue, NLRX1 was lowly expressed in ESCC, and patients with low NLRX1 expression had a shorter survival time. NLRX1 was an independent prognostic factor for ESCC and was associated with tumor grading. Patients in the low‑NLRX1 group showed a decrease in the infiltration of activated natural killer cells, monocytes and M0 macrophages, and these immune‑cell infiltration levels were positively correlated with NLRX1 expression. Knocking down NLRX1 promoted the proliferation of KYSE450 cells, while overexpression of NLRX1 inhibited the proliferation of ECA109 cells. NLRX1 negatively regulated the PI3K/AKT signaling pathway in ESCC. These findings indicate that, through several mechanisms, NLRX1 suppresses tumor growth in ESCC, which offers new insight for investigating the causes and progression of ESCC, as well as for identifying more efficient therapeutic approaches.
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Copy and paste a formatted citation
Spandidos Publications style
Zhou L, Gan L, Sun C, Chu A, Yang M and Liu Z: Bioinformatics analysis and experimental verification of NLRX1 as a prognostic factor for esophageal squamous cell carcinoma. Oncol Lett 27: 264, 2024.
APA
Zhou, L., Gan, L., Sun, C., Chu, A., Yang, M., & Liu, Z. (2024). Bioinformatics analysis and experimental verification of NLRX1 as a prognostic factor for esophageal squamous cell carcinoma. Oncology Letters, 27, 264. https://doi.org/10.3892/ol.2024.14397
MLA
Zhou, L., Gan, L., Sun, C., Chu, A., Yang, M., Liu, Z."Bioinformatics analysis and experimental verification of NLRX1 as a prognostic factor for esophageal squamous cell carcinoma". Oncology Letters 27.6 (2024): 264.
Chicago
Zhou, L., Gan, L., Sun, C., Chu, A., Yang, M., Liu, Z."Bioinformatics analysis and experimental verification of NLRX1 as a prognostic factor for esophageal squamous cell carcinoma". Oncology Letters 27, no. 6 (2024): 264. https://doi.org/10.3892/ol.2024.14397
Copy and paste a formatted citation
x
Spandidos Publications style
Zhou L, Gan L, Sun C, Chu A, Yang M and Liu Z: Bioinformatics analysis and experimental verification of NLRX1 as a prognostic factor for esophageal squamous cell carcinoma. Oncol Lett 27: 264, 2024.
APA
Zhou, L., Gan, L., Sun, C., Chu, A., Yang, M., & Liu, Z. (2024). Bioinformatics analysis and experimental verification of NLRX1 as a prognostic factor for esophageal squamous cell carcinoma. Oncology Letters, 27, 264. https://doi.org/10.3892/ol.2024.14397
MLA
Zhou, L., Gan, L., Sun, C., Chu, A., Yang, M., Liu, Z."Bioinformatics analysis and experimental verification of NLRX1 as a prognostic factor for esophageal squamous cell carcinoma". Oncology Letters 27.6 (2024): 264.
Chicago
Zhou, L., Gan, L., Sun, C., Chu, A., Yang, M., Liu, Z."Bioinformatics analysis and experimental verification of NLRX1 as a prognostic factor for esophageal squamous cell carcinoma". Oncology Letters 27, no. 6 (2024): 264. https://doi.org/10.3892/ol.2024.14397
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