Cancer Res Treat.  2025 Jan;57(1):212-228. 10.4143/crt.2024.408.

The Oncogenic Role of TNFRSF12A in Colorectal Cancer and Pan-Cancer Bioinformatics Analysis

Affiliations
  • 1Guangdong Institute of Gastroenterology, Guangzhou, China
  • 2Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
  • 3Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
  • 4Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
  • 5Department of Medical Oncology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
  • 6Sing Loong Limited, Hong Kong Special Administrative Region, China

Abstract

Purpose
Cancer has become a significant major public health concern, making the discovery of new cancer markers or therapeutic targets exceptionally important. Elevated expression of tumor necrosis factor receptor superfamily member 12A (TNFRSF12A) expression has been observed in certain types of cancer. This project aims to investigate the function of TNFRSF12A in tumors and the underlying mechanisms.
Materials and Methods
Various websites were utilized for conducting the bioinformatics analysis. Tumor cell lines with stable knockdown or overexpression of TNFRSF12A were established for cell phenotyping experiments and subcutaneous tumorigenesis in BALB/c mice. RNA-seq was employed to investigate the mechanism of TNFRSF12A.
Results
TNFRSF12A was upregulated in the majority of cancers and associated with a poor prognosis. Knockdown TNFRSF12A hindered the colorectal cancer progression, while overexpression facilitated malignancy both in vitro and in vivo. TNFRSF12A overexpression led to increased nuclear factor кB (NF-κB) signaling and significant upregulation of baculoviral IAP repeat containing 3 (BIRC3), a transcription target of the NF-κB member RELA, and it was experimentally confirmed to be a critical downstream factor of TNFRSF12A. Therefore, we speculated the existence of a TNFRSF12A/RELA/BIRC3 regulatory axis in colorectal cancer.
Conclusion
TNFRSF12A is upregulated in various cancer types and associated with a poor prognosis. In colorectal cancer, elevated TNFRSF12A expression promotes tumor growth, potentially through the TNFRSF12A/RELA/BIRC3 regulatory axis.

Keyword

TNFRSF12A; Computational biology; Neoplasms; Colorectal neoplasms; NF-κB

Figure

  • Fig. 1. Pan-cancer bioinformatic analysis revealed pro-cancer effect of tumor necrosis factor receptor superfamily member 12A (TNFRSF12A). (A) TNFRSF12A mRNA expression in indicated tumor or normal tissues analyzed by TIMER2.0 online tool based on TCGA database. (B) TNFRSF12A protein level in indicated normal and tumor tissues according to Human Protein Atlas database. (C) Kaplan-Meier curves showing relevancy between TNFRSF12A mRNA level and overall survival (OS) for patients with indicated cancers obtained from the KMPlotter website. BCLA, bladder urothelial carcinoma; CESC, cervical squamous cell carcinoma and endocervical adenocarcinoma; COAD, colon adenocarcinoma; HR, hazard ratio; KIRC, kidney renal clear cell carcinoma; LIHC, liver hepatocellular carcinoma; LUAD, lung adenocarcinoma; LUSC, lung squamous cell carcinoma; N, normal; PAAD, pancreatic adenocarcinoma; T, tumor; TPM, transcripts per million.

  • Fig. 2. Tumor necrosis factor receptor superfamily member 12A (TNFRSF12A) effects on growth, colony formation, and migration of colorectal cancer cell lines. (A) Quantitative real-time polymerase chain reaction to assess the mRNA levels of TNFRSF12A in the inducible TNFRSF12A knockdown or overexpression colorectal cancer cell lines. The duration of doxycycline (Dox) treatment was 48 hours. (B) Western blot to assess the protein levels of TNFRSF12A in the inducible TNFRSF12A knockdown or overexpression colorectal cancer cell lines. The duration of Dox treatment was 48 hours. (C) Growth curves of colorectal cancer cell lines with TNFRSF12A knockdown or overexpression. (D) Colony formation results of colorectal cancer cell lines with TNFRSF12A knockdown or overexpression. Scale bars=5 mm. (E) Wound healing results of colorectal cancer cell lines with TNFRSF12A knockdown or overexpression. Scale bars=250 μm. The notation “sh” refers to TNFRSF12A shRNA, and “oeT” indicates overexpressed TNFRSF12A. Statistical significance levels are denoted as follows: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; ns, not significant.

  • Fig. 3. Tumor necrosis factor receptor superfamily member 12A (TNFRSF12A) promotes colorectal cancer growth in vivo. (A) Quantitative real-time polymerase chain reaction to assess the mRNA levels of TNFRSF12A in the inducible TNFRSF12A knockdown or overexpression CT26 mouse colorectal cancer cells. The duration of Dox treatment was 48 hours. (B) Western blot to assess the protein levels of TNFRSF12A in the inducible TNFRSF12A knockdown or overexpression CT26 mouse colorectal cancer cells. The duration of Dox treatment was 48 hours. (C) Growth curves of CT26 cells with TNFRSF12A knockdown or overexpression. (D) Representative colony formation images of CT26 cells with TNFRSF12A knockdown or overexpression. Scale bars=5 mm. (E) Representative wound healing images of CT26 cells with TNFRSF12A knockdown or overexpression. Scale bars=250 μm. (F) Images of tumors obtained from mice that were subcutaneously transplanted with CT26 cells with either TNFRSF12A knockdown or overexpression (n=5). (G) Growth curves of tumors in mice subcutaneously transplanted with CT26 cells with either TNFRSF12A knockdown or overexpression. (H) The weight of tumors obtained from mice that were subcutaneously transplanted with CT26 cells with either TNFRSF12A knockdown or overexpression. The notation “sh#1” refers to TNFRSF12A shRNA#1, and “oeT” indicates overexpressed TNFRSF12A. Statistical significance levels are denoted as follows: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; ns, not significant.

  • Fig. 4. Differential expression genes and enrichment analysis of colorectal cancer cell line with or without tumor necrosis factor receptor superfamily member 12A (TNFRSF12A) overexpression. (A) The heatmap of differential expression genes between TNFRSF12A overexpressed (oeT) DLD-1 cells and the control (oeCtl) DLD-1 cells. (B) The volcano plot of differential expression genes between TNFRSF12A overexpressed (oeT) DLD-1 cells and the control (oeCtl) DLD-1 cells. (C) The results gene ontology (GO) analysis for differential expression genes between TNFRSF12A overexpressed (oeT) DLD-1 cells and the control (oeCtl) DLD-1 cells. BP, biological process; MF, molecular function. (D) Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis for differential expression genes between TNFRSF12A overexpressed (oeT) DLD-1 cells and the control (oeCtl) DLD-1 cells. (E) The heatmap of the expression of nuclear factor κB (NF-κB)–related genes in TNFRSF12A overexpressed (oeT) DLD-1 cells and the control (oeCtl) DLD-1 cells. (F) The heatmap of the expression of putative NF-κB targets in TNFRSF12A overexpressed (oeT) DLD-1 cells and the control (oeCtl) DLD-1 cells.

  • Fig. 5. Baculoviral IAP repeat containing 3 (BIRC3) is upregulated after tumor necrosis factor receptor superfamily member 12A (TNFRSF12A) overexpression and a potential target of RELA. (A) Quantitative real-time polymerase chain reaction verification of BIRC3 expression in DLD-1 and RKO cells with TNFRSF12A knockdown and overexpression. The doxycycline (Dox) treatment duration was 48 hours. The notation “sh#1” refers to TNFRSF12A shRNA#1, and “oeT” indicates overexpressed TNFRSF12A. Statistical significance levels are denoted as follows: **p < 0.01, ***p < 0.001, ****p < 0.0001. (B) Profile of RELA binding peaks on BIRC3 gene in LoVo colorectal cancer cells from ChIP-Atlas database (SRX359916). (C) Potential relationships among TNFRSF12A, BIRC3, and RELA in STRING database.

  • Fig. 6. Tumor necrosis factor receptor superfamily member 12A (TNFRSF12A) overexpression affects colorectal cancer cell growth, colony formation, and migration through TNFRSF12A/RELA/BIRC3 axis. (A) Quantitative real-time polymerase chain reaction verification of the efficiency of transient knockdown BIRC3 in DLD-1 and RKO cells. The doxycycline (Dox) treatment duration was 48 hours. (B) The growth curves of TNFRSF12A overexpression DLD-1 and RKO cells with transient BIRC3 knockdown. (C) Representative colony formation images of TNFRSF12A overexpression DLD-1 and RKO cells with transient BIRC3 knockdown. Scale bars=5 mm. (D) Representative wound healing assay images of TNFRSF12A overexpression DLD-1 and RKO cells with transient BIRC3 knockdown. Scale bars=250 μm. (E) Western blot to detect level of TNFRSF12A and BIRC3, p-RELA and RELA in tumor from TNFRSF12A overexpression group, homograft mouse model mentioned in Fig. 3F. (F) Western blot to detect levels of TNFRSF12A and BIRC3, p-RELA and RELA in DLD-1 and RKO cell lines with or without TNFRSF12A overexpression and RELA inhibitor JSH-23. The treatment duration was 48 hours. The notation “oeT” indicates overexpressed TNFRSF12A. Statistical significance levels are denoted as follows: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001; ns, not significant.

  • Fig. 7. Scheme of inferred tumor necrosis factor receptor superfamily member 12A (TNFRSF12A) function in colorectal cancer. BIRC3, baculoviral inhibitor of apoptosis protein repeat containing 3.


Reference

References

1. Han B, Zheng R, Zeng H, Wang S, Sun K, Chen R, et al. Cancer incidence and mortality in China, 2022. J Natl Cancer Cent. 2024; 4:47–53.
2. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021; 71:209–49.
3. Edgar R, Domrachev M, Lash AE. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res. 2002; 30:207–10.
4. Barrett T, Wilhite SE, Ledoux P, Evangelista C, Kim IF, Tomashevsky M, et al. NCBI GEO: archive for functional genomics data sets--update. Nucleic Acids Res. 2013; 41:D991–5.
5. Uhlen M, Fagerberg L, Hallstrom BM, Lindskog C, Oksvold P, Mardinoglu A, et al. Proteomics: tissue-based map of the human proteome. Science. 2015; 347:1260419.
6. Brown SA, Richards CM, Hanscom HN, Feng SL, Winkles JA. The Fn14 cytoplasmic tail binds tumour-necrosis-factor-receptor-associated factors 1, 2, 3 and 5 and mediates nuclear factor-kappaB activation. Biochem J. 2003; 371:395–403.
7. Winkles JA. The TWEAK-Fn14 cytokine-receptor axis: discovery, biology and therapeutic targeting. Nat Rev Drug Discov. 2008; 7:411–25.
8. Wajant H. The TWEAK-Fn14 system as a potential drug target. Br J Pharmacol. 2013; 170:748–64.
9. Wiley SR, Winkles JA. TWEAK, a member of the TNF superfamily, is a multifunctional cytokine that binds the TweakR/Fn14 receptor. Cytokine Growth Factor Rev. 2003; 14:241–9.
10. Hu G, Liang L, Liu Y, Liu J, Tan X, Xu M, et al. TWEAK/Fn14 interaction confers aggressive properties to cutaneous squamous cell carcinoma. J Invest Dermatol. 2019; 139:796–806.
11. Yin J, Liu YN, Tillman H, Barrett B, Hewitt S, Ylaya K, et al. AR-regulated TWEAK-FN14 pathway promotes prostate cancer bone metastasis. Cancer Res. 2014; 74:4306–17.
12. Cheng E, Whitsett TG, Tran NL, Winkles JA. The TWEAK receptor Fn14 is an Src-inducible protein and a positive regulator of Src-driven cell invasion. Mol Cancer Res. 2015; 13:575–83.
13. Dwyer BJ, Jarman EJ, Gogoi-Tiwari J, Ferreira-Gonzalez S, Boulter L, Guest RV, et al. TWEAK/Fn14 signalling promotes cholangiocarcinoma niche formation and progression. J Hepatol. 2021; 74:860–72.
14. Wang T, Ma S, Qi X, Tang X, Cui D, Wang Z, et al. Knockdown of the differentially expressed gene TNFRSF12A inhibits hepatocellular carcinoma cell proliferation and migration in vitro. Mol Med Rep. 2017; 15:1172–8.
15. Zhang L, Ludden CM, Cullen AJ, Tew KD, Branco de Barros AL, Townsend DM. Nuclear factor kappa B expression in non-small cell lung cancer. Biomed Pharmacother. 2023; 167:115459.
16. Zhang T, Ma C, Zhang Z, Zhang H, Hu H. NF-kappaB signaling in inflammation and cancer. MedComm (2020). 2021; 2:618–53.
17. Liang J, Zhao W, Tong P, Li P, Zhao Y, Li H, et al. Comprehensive molecular characterization of inhibitors of apoptosis proteins (IAPs) for therapeutic targeting in cancer. BMC Med Genomics. 2020; 13:7.
18. Zhang H, Ma B, Li N, Zhang L, Xu J, Zhang S, et al. SNHG1, a KLF4-upregulated gene, promotes glioma cell survival and tumorigenesis under endoplasmic reticulum stress by upregulating BIRC3 expression. J Cell Mol Med. 2023; 27:1806–19.
19. Fu PY, Hu B, Ma XL, Yang ZF, Yu MC, Sun HX, et al. New insight into BIRC3: A novel prognostic indicator and a potential therapeutic target for liver cancer. J Cell Biochem. 2019; 120:6035–45.
20. Li T, Fu J, Zeng Z, Cohen D, Li J, Chen Q, et al. TIMER2.0 for analysis of tumor-infiltrating immune cells. Nucleic Acids Res. 2020; 48:W509–14.
21. Gyorffy B. Transcriptome-level discovery of survival-associated biomarkers and therapy targets in non-small-cell lung cancer. Br J Pharmacol. 2024; 181:362–74.
22. Zou Z, Ohta T, Miura F, Oki S. ChIP-Atlas 2021 update: a data-mining suite for exploring epigenomic landscapes by fully integrating ChIP-seq, ATAC-seq and Bisulfite-seq data. Nucleic Acids Res. 2022; 50:W175–82.
23. Zheng R, Wan C, Mei S, Qin Q, Wu Q, Sun H, et al. Cistrome Data Browser: expanded datasets and new tools for gene regulatory analysis. Nucleic Acids Res. 2019; 47:D729–35.
24. Szklarczyk D, Kirsch R, Koutrouli M, Nastou K, Mehryary F, Hachilif R, et al. The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest. Nucleic Acids Res. 2023; 51:D638–46.
25. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014; 15:550.
26. Kolde R. pheatmap: Pretty Heatmaps. R package version 1.0.12. Vienna: R Foundation for Statistical Computing;2019.
27. Wickham H. ggplot2: elegant graphics for data analysis. 2nd ed. Cham: Springer International Publishing;2016.
28. Wu T, Hu E, Xu S, Chen M, Guo P, Dai Z, et al. clusterProfiler 4.0: a universal enrichment tool for interpreting omics data. Innovation (Camb). 2021; 2:100141.
29. Li G, Zhang Z, Cai L, Tang X, Huang J, Yu L, et al. Fn14-targeted BiTE and CAR-T cells demonstrate potent preclinical activity against glioblastoma. Oncoimmunology. 2021; 10:1983306.
Full Text Links
  • CRT
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2025 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr