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2000
Volume 24, Issue 11
  • ISSN: 1566-5240
  • E-ISSN:

Abstract

Background

Some tumors have a poor prognosis regarding TPD52 (tumor protein D52). This study aims to explore TPD52's role in the cancer process from a pan-cancer perspective.

Methods

A pan-cancer analysis was conducted to investigate how TPD52 may be involved in cancer as well as its association with prognosis.

Results

A variety of human cancers express TPD52 abnormally and correlate with clinical stage. There was a significant association between low expression of TPD52 and poor survival in BRCA, KIRP, LAML, LIHC, UCEC, and UVM. TPD52 alterations were most frequently amplified in pan-cancer. The co-occurrence of 10 genes alterations was found in the TPD52 altered group. There was a significant association between TPD52 expression and MSI in four cancer types and TMB in twelve cancer types. There was a significant correlation between TPD52 expression and immune-related cell infiltration. A significant correlation was found between TPD52 expression in many tumor types and 8 immune checkpoint genes. There were signaling pathways involved in pan-cancer caused by TPD52, including endocytosis, Fc gamma R-mediated phagocytosis, and so on. TPD52 may be involved in chemotherapy and chemoresistance.

Conclusion

The TPD52 gene may be important for human cancer treatment.

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2023-10-16
2024-10-12
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References

  1. SungH. FerlayJ. SiegelR.L. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 Countries.CA Cancer J. Clin.202171320924910.3322/caac.21660 33538338
    [Google Scholar]
  2. ChenJ. MaiH. ChenH. ZhouB. HouJ. JiangD.K. Pan-cancer analysis identified C1ORF112 as a potential biomarker for multiple tumor types.Front. Mol. Biosci.2021869365110.3389/fmolb.2021.693651 34490347
    [Google Scholar]
  3. ZhongA. ChenT. ZhouT. ZhangZ. ShiM. TPD52L2 Is a prognostic biomarker and correlated with immune infiltration in lung adenocarcinoma.Front. Pharmacol.20211272842010.3389/fphar.2021.728420 34744715
    [Google Scholar]
  4. ByrneJ.A. MatteiM.G. BassetP. Definition of the tumor protein D52 (TPD52) gene family through cloning of D52 homologues in human (hD53) and mouse (mD52).Genomics199635352353210.1006/geno.1996.0393 8812487
    [Google Scholar]
  5. ByrneJ.A. FrostS. ChenY. BrightR.K. Tumor protein D52 (TPD52) and cancer-oncogene understudy or understudied oncogene?Tumour Biol.20143587369738210.1007/s13277‑014‑2006‑x 24798974
    [Google Scholar]
  6. ChoschzickM. LassenP. LebeauA. Amplification of 8q21 in breast cancer is independent of MYC and associated with poor patient outcome.Mod. Pathol.201023460361010.1038/modpathol.2010.5 20139910
    [Google Scholar]
  7. ChenY. PengC. TanW. YuJ. ZayasJ. PengY. Tumor protein D52 (TPD52) affects cancer cell metabolism by negatively regulating AMPK.Cancer Med.2022121488499 35666017
    [Google Scholar]
  8. WangY. FangJ. GuF. MiR-125b-5p/TPD52 axis affects proliferation, migration and invasion of breast cancer cells.Mol. Biotechnol.20226491003101210.1007/s12033‑022‑00475‑3 35320453
    [Google Scholar]
  9. LiJ. LiY. LiuH. LiuY. CuiB. The four-transmembrane protein MAL2 and tumor protein D52 (TPD52) are highly expressed in colorectal cancer and correlated with poor prognosis.PLoS One2017125e017851510.1371/journal.pone.0178515 28562687
    [Google Scholar]
  10. CuiX. ZhangX. LiuM. A pan-cancer analysis of the oncogenic role of staphylococcal nuclease domain-containing protein 1 (SND1) in human tumors.Genomics202011263958396710.1016/j.ygeno.2020.06.044 32645525
    [Google Scholar]
  11. MushaK. GeX. AblikimN. LuB. ChenC. HuangJ. Comprehensive analysis of RELL2 as a potential biomarker associated with tumor immune infiltrating cells in a pan-cancer analysis.Dis. Markers2022202212110.1155/2022/5009512 35634441
    [Google Scholar]
  12. YangD. LiuM. JiangJ. Comprehensive analysis of DMRT3 as a potential biomarker associated with the immune infiltration in a pan-cancer analysis and validation in lung adenocarcinoma.Cancers20221424622010.3390/cancers14246220 36551704
    [Google Scholar]
  13. VivianJ. RaoA.A. NothaftF.A. Toil enables reproducible, open source, big biomedical data analyses.Nat. Biotechnol.201735431431610.1038/nbt.3772 28398314
    [Google Scholar]
  14. LinZ. HuangW. YiY. LncRNA ADAMTS9-AS2 is a prognostic biomarker and correlated with immune infiltrates in lung adenocarcinoma.Int. J. Gen. Med.2021148541855510.2147/IJGM.S340683 34849000
    [Google Scholar]
  15. HanQ. CuiZ. WangQ. PangF. LiD. WangD. Upregulation of OTX2-AS1 is associated with immune infiltration and predicts prognosis of gastric cancer.Technol. Cancer Res. Treat.2023221533033823115409110.1177/15330338231154091 36740995
    [Google Scholar]
  16. YiW. ShenH. SunD. Low expression of long noncoding RNA SLC26A4 antisense RNA 1 Is an independent prognostic biomarker and correlate of immune infiltrates in breast cancer.Med. Sci. Monit.202127e934522 34880202
    [Google Scholar]
  17. LiangW. LuY. PanX. Decreased expression of a novel lncRNA FAM181A-AS1 is associated with poor prognosis and immune infiltration in lung adenocarcinoma.Pharm. Genomics Pers. Med.20221598599810.2147/PGPM.S384901 36482943
    [Google Scholar]
  18. QiuW. DingK. LiaoL. LingY. LuoX. WangJ. Analysis of the expression and prognostic value of MSH2 in pan-cancer based on bioinformatics.BioMed Res. Int.2021202111210.1155/2021/9485273 34859104
    [Google Scholar]
  19. FrostF.G. CherukuriP.F. MilanovichS. BoerkoelC.F. Pan cancer RNA seq data stratifies tumours by some hallmarks of cancer.J. Cell. Mol. Med.202024141843010.1111/jcmm.14746 31730267
    [Google Scholar]
  20. TianY. BaiF. ZhangD. HIF1α: A novel biomarker with potential prognostic and immunotherapy in pan-cancer.Oxid. Med. Cell. Longev.2022202211710.1155/2022/1246267 35860430
    [Google Scholar]
  21. GaoH. XuC. LiangJ. Pan-cancer analysis of oncogenic role of Programmed Cell Death 2 Like (PDCD2L) and validation in colorectal cancer.Cancer Cell Int.202222110010.1186/s12935‑022‑02525‑x 35216602
    [Google Scholar]
  22. KangP. LiY. HuZ. Neuropilin-1 is a valuable biomarker for predicting response of advanced non-small cell lung cancer patients to hypofractionated radiotherapy and PD-1 blockade.Int. Immunopharmacol.202210910873210.1016/j.intimp.2022.108732 35468364
    [Google Scholar]
  23. ThorssonV. GibbsD.L. BrownS.D. The immune landscape of cancer.Immunity2018484812830.e1410.1016/j.immuni.2018.03.023 29628290
    [Google Scholar]
  24. BonnevilleR KrookMA KauttoEA MiyaJ WingMR ChenHZ Landscape of microsatellite instability across 39 cancer types.JCO Precis Oncol20172017PO.17.00073
    [Google Scholar]
  25. ChenJ. TangH. LiT. Comprehensive analysis of the expression, prognosis, and biological significance of OVOLs in breast cancer.Int. J. Gen. Med.2021143951396010.2147/IJGM.S326402 34345183
    [Google Scholar]
  26. ZhangL. LiX. ZhangJ. XuG. Prognostic implication and oncogenic role of PNPO in pan-cancer.Front. Cell Dev. Biol.2022976367410.3389/fcell.2021.763674 35127701
    [Google Scholar]
  27. WangJ. ShiW. MiaoY. GanJ. GuanQ. RanJ. Evaluation of tumor microenvironmental immune regulation and prognostic in lung adenocarcinoma from the perspective of purinergic receptor P2Y13.Bioengineered20211216286630410.1080/21655979.2021.1971029 34494914
    [Google Scholar]
  28. HuangW. FanL. TangY. ChiY. LiJ. A pan-cancer analysis of the oncogenic role of Integrin Beta4 (ITGB4) in human tumors.Int. J. Gen. Med.2021149629964510.2147/IJGM.S341076 34924769
    [Google Scholar]
  29. LyuG. LiD. LiS. NingC. QinR. Genotoxic effects and proteomic analysis on Allium cepa var. agrogarum L. root cells under Pb stress.Ecotoxicology202029795997210.1007/s10646‑020‑02236‑x 32507983
    [Google Scholar]
  30. LiD. LyuG. NiuG. WangX. YinJ. Interaction network of TaRHA2b of wheat (Triticum aestivum L.), based on high-throughput yeast two-hybrid screening.Appl. Ecol. Environ. Res.20191310513124
    [Google Scholar]
  31. LiD.B. LyuG. LyuJ. NiuH. WangX. Cloning and characterization of a wheat ring finger gene tarha2b whose expression is upregulated by aba treatment.Appl. Ecol. Environ. Res.20191747495751010.15666/aeer/1704_74957510
    [Google Scholar]
  32. LiuY. XueJ. ZhongM. WangZ. LiJ. ZhuY. Prognostic prediction, immune microenvironment, and drug resistance value of collagen type I alpha 1 chain: From gastrointestinal cancers to pan-cancer analysis.Front. Mol. Biosci.2021869212010.3389/fmolb.2021.692120 34395525
    [Google Scholar]
  33. LiM. WangX. LiuJ. Identification of core prognosis-related candidate genes in chinese gastric cancer population based on integrated bioinformatics.BioMed Res. Int.2020202011410.1155/2020/8859826 33381592
    [Google Scholar]
  34. LyuG. LiD. XiongH. Quantitative proteomic analyses identify STO/BBX24 -related proteins induced by UV-B.Int. J. Mol. Sci.2020217249610.3390/ijms21072496 32260266
    [Google Scholar]
  35. YangY. GuX. LiZ. Whole-exome sequencing of rectal cancer identifies locally recurrent mutations in the Wnt pathway.Aging20211319232622328310.18632/aging.203618 34642262
    [Google Scholar]
  36. HeW. DongS. ShenJ. Whole-genome sequencing identified novel mutations in a Chinese family with lynch syndrome.Front. Oncol.202313103635610.3389/fonc.2023.1036356 36874103
    [Google Scholar]
  37. ChenG. LuoD. ZhongN. GPC2 Is a potential diagnostic, immunological, and prognostic biomarker in pan-cancer.Front. Immunol.20221385730810.3389/fimmu.2022.857308 35345673
    [Google Scholar]
  38. LiY. SunY. LiZ. LiS. WuC. MiR-139-5p inhibits the development of gastric cancer through targeting TPD52.J. Healthc. Eng.2022202211010.1155/2022/4033373 35222884
    [Google Scholar]
  39. ShiP. ZhangX. LouC. XueY. GuoR. ChenS. Hsa_circ_0084927 regulates cervical cancer advancement via regulation of the miR-634/TPD52 axis.Cancer Manag. Res.2020129435944810.2147/CMAR.S272478 33061631
    [Google Scholar]
  40. ZhaoZ. LiuH. HouJ. Tumor protein D52 (TPD52) inhibits growth and metastasis in renal cell carcinoma cells through the PI3K/Akt signaling pathway.Oncol. Res.201725577377910.3727/096504016X14774889687280 27983909
    [Google Scholar]
  41. ByrneJ.A. MalekiS. HardyJ.R. MAL2 and tumor protein D52 (TPD52) are frequently overexpressed in ovarian carcinoma, but differentially associated with histological subtype and patient outcome.BMC Cancer201010149710.1186/1471‑2407‑10‑497 20846453
    [Google Scholar]
  42. WangY. ChenC.L. PanQ.Z. Decreased TPD52 expression is associated with poor prognosis in primary hepatocellular carcinoma.Oncotarget2016756323633410.18632/oncotarget.6319 26575170
    [Google Scholar]
  43. MaoX. XuJ. WangW. Crosstalk between cancer-associated fibroblasts and immune cells in the tumor microenvironment: New findings and future perspectives.Mol. Cancer202120113110.1186/s12943‑021‑01428‑1 34635121
    [Google Scholar]
  44. ShiQ. MaY. ZhangX. YinC. Circ_0060551 promotes the migration and invasion of cervical cancer by upregulating TPD52.Am. J. Reprod. Immunol.2022883e1358610.1111/aji.13586 35716110
    [Google Scholar]
  45. WangY. LiM. PanC. HuangH. HuX. LiuJ. Hsa_circ_0007637 facilitates nasopharyngeal carcinoma progression by sponging miR-636/TPD52 axis.Cancer Manag. Res.2021139439945210.2147/CMAR.S328207 35002322
    [Google Scholar]
  46. ZhangH. LiM. ZhangJ. ShenY. GuiQ. Exosomal Circ-XIAP promotes docetaxel resistance in prostate cancer by regulating miR-1182/TPD52 axis.Drug Des. Devel. Ther.2021151835184910.2147/DDDT.S300376 33976535
    [Google Scholar]
  47. KangJ.W. KimY. LeeY. MyungK. KimY.H. OhC.K. AML poor prognosis factor, TPD52, is associated with the maintenance of haematopoietic stem cells through regulation of cell proliferation.J. Cell. Biochem.20211223-440341210.1002/jcb.29869 33166425
    [Google Scholar]
  48. LiuS. XiX. LINC01133 contribute to epithelial ovarian cancer metastasis by regulating miR-495-3p/TPD52 axis.Biochem. Biophys. Res. Commun.202053341088109410.1016/j.bbrc.2020.09.074 33036757
    [Google Scholar]
  49. SuD. JiZ. XueP. GuoS. JiaQ. SunH. Long-noncoding RNA FGD5-AS1 enhances the viability, migration, and invasion of glioblastoma cells by regulating the miR-103a-3p/TPD52 axis.Cancer Manag. Res.2020126317632910.2147/CMAR.S253467 32848452
    [Google Scholar]
  50. FuM. ChenC.W. YangL.Q. MicroRNA 103a 3p promotes metastasis by targeting TPD52 in salivary adenoid cystic carcinoma.Int. J. Oncol.202057257458610.3892/ijo.2020.5069 32467999
    [Google Scholar]
  51. WangZ. LiY. FanL. Silencing of TPD52 inhibits proliferation, migration, invasion but induces apoptosis of pancreatic cancer cells by deactivating Akt pathway.Neoplasma202067227728510.4149/neo_2019_190404N295 31847526
    [Google Scholar]
  52. KumamotoT. SekiN. MatakiH. Regulation of TPD52 by antitumor microRNA-218 suppresses cancer cell migration and invasion in lung squamous cell carcinoma.Int. J. Oncol.20164951870188010.3892/ijo.2016.3690 27633630
    [Google Scholar]
  53. ShahheydariH. FrostS. SmithB.J. GroblewskiG.E. ChenY. ByrneJ.A. Identification of PLP2 and RAB5C as novel TPD52 binding partners through yeast two-hybrid screening.Mol. Biol. Rep.20144174565457210.1007/s11033‑014‑3327‑y 24604726
    [Google Scholar]
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  • Article Type: Research Article
Keyword(s): drug sensitivity; genomic alteration; immune infiltration; Pan cáncer; prognosis; TPD52
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