Gene Summary

Gene:TPD52L1; TPD52 like 1
Aliases: D53
Summary:This gene encodes a member of a family of proteins that contain coiled-coil domains and may form hetero- or homomers. The encoded protein is involved in cell proliferation and calcium signaling. It also interacts with the mitogen-activated protein kinase kinase kinase 5 (MAP3K5/ASK1) and positively regulates MAP3K5-induced apoptosis. Multiple alternatively spliced transcript variants have been observed. [provided by RefSeq, Jan 2016]
Databases:OMIM, HGNC, Ensembl, GeneCard, Gene
Protein:tumor protein D53
Source:NCBIAccessed: 31 August, 2019


What does this gene/protein do?
Show (13)

Cancer Overview

Research Indicators

Publications Per Year (1994-2019)
Graph generated 01 September 2019 using data from PubMed using criteria.

Literature Analysis

Mouse over the terms for more detail; many indicate links which you can click for dedicated pages about the topic.

  • Cell Division
  • Myelin and Lymphocyte-Associated Proteolipid Proteins
  • Immunohistochemistry
  • Genomics
  • Gene Expression Profiling
  • Oligonucleotide Array Sequence Analysis
  • Acute Lymphocytic Leukaemia
  • Tissue Array Analysis
  • Genetic Markers
  • Databases, Factual
  • TPD52L1
  • Sequence Homology
  • Cyclin B1
  • p53 Protein
  • Ovarian Cancer
  • Breast Cancer
  • Infant
  • Apoptosis
  • Protein Structure, Tertiary
  • Cell Cycle Proteins
  • Saccharomyces cerevisiae
  • Exons
  • Transcription
  • Gene Library
  • Cell Proliferation
  • RT-PCR
  • Up-Regulation
  • Amino Acid Sequence
  • Transcription Factors
  • Intestinal Mucosa
  • Stem Cells
  • Platinum Compounds
  • Neoplasm Proteins
  • Proteolipids
  • Chromosome 6
  • Lymphatic Metastasis
  • Vesicular Transport Proteins
  • Multigene Family
  • Pyridines
  • Base Sequence
Tag cloud generated 31 August, 2019 using data from PubMed, MeSH and CancerIndex

Specific Cancers (4)

Data table showing topics related to specific cancers and associated disorders. Scope includes mutations and abnormal protein expression.

Note: list is not exhaustive. Number of papers are based on searches of PubMed (click on topic title for arbitrary criteria used).

Latest Publications: TPD52L1 (cancer-related)

Roskoski R
ROS1 protein-tyrosine kinase inhibitors in the treatment of ROS1 fusion protein-driven non-small cell lung cancers.
Pharmacol Res. 2017; 121:202-212 [PubMed] Related Publications
ROS1 protein-tyrosine kinase fusion proteins are expressed in 1-2% of non-small cell lung cancers. The ROS1 fusion partners include CD74, CCDC6, EZR, FIG, KDELR2, LRIG3, MSN, SDC4, SLC34A2, TMEM106B, TMP3, and TPD52L1. Physiological ROS1 is closely related to the ALK, LTK, and insulin receptor protein-tyrosine kinases. ROS1 is a so-called orphan receptor because the identity of its activating ligand, if any, is unknown. The receptor is expressed during development, but little is expressed in adults and its physiological function is unknown. The human ROS1 gene encodes 2347 amino acid residues and ROS1 is the largest protein-tyrosine kinase receptor protein. Unlike the ALK fusion proteins that are activated by the dimerization induced by their amino-terminal portions, the amino-terminal domains of several of its fusion proteins including CD74 apparently lack the ability to induce dimerization so that the mechanism of constitutive protein kinase activation is unknown. Downstream signaling from the ROS1 fusion protein leads to the activation of the Ras/Raf/MEK/ERK1/2 cell proliferation module, the phosphatidyl inositol 3-kinase cell survival pathway, and the Vav3 cell migration pathway. Moreover, several of the ROS1 fusion proteins are implicated in the pathogenesis of a very small proportion of other cancers including glioblastoma, angiosarcoma, and cholangiocarcinoma as well as ovarian, gastric, and colorectal carcinomas. The occurrence of oncogenic ROS1 fusion proteins, particularly in non-small cell lung cancer, has fostered considerable interest in the development of ROS1 inhibitors. Although the percentage of lung cancers driven by ROS1 fusion proteins is low, owing to the large number of new cases of non-small cell lung cancer per year, the number of new cases of ROS1-positive lung cancers is significant and ranges from 2000 to 4000 per year in the United States and 10,000-15,000 worldwide. Crizotinib was the first inhibitor approved by the US Food and Drug Administration for the treatment of ROS1-positive non-small cell lung cancer in 2016. Other drugs that are in clinical trials for the treatment of these lung cancers include ceritinib, cabozantinib, entrectinib, and lorlatinib. Crizotinib forms a complex within the front cleft between the small and large lobes of an active ROS1 protein-kinase domain and it is classified as type I inhibitor.

Zhu VW, Upadhyay D, Schrock AB, et al.
TPD52L1-ROS1, a new ROS1 fusion variant in lung adenosquamous cell carcinoma identified by comprehensive genomic profiling.
Lung Cancer. 2016; 97:48-50 [PubMed] Related Publications
Crizotinib was approved for the treatment of ROS1-rearranged non-small cell lung cancer (NSCLC) patients in the US on 11 March, 2016. Interestingly no one companion diagnostic test (CDx) has been approved simultaneously with this approval of crizotinib. Hence, an ideal and adequate CDx will have to be able to identify ROS1 fusions without the knowledge of the fusion partners to ROS1, and as to date there are 13 fusion partners reported for ROS1 in NSCLC. Here we report a novel TPD52L1-ROS1 fusion variant in NSCLC. This novel TPD52L1-ROS1 fusion variant is generated by the fusion of exons 1-3 of TPD52L1 on chromosome 6q22-23 to the exons 33-43 of ROS1 on chromosome 6q22, likely from an intra-chromosomal deletion and subsequent fusion event similar to the generation of EML4-ALK. The predicted TPD52L1-ROS1 protein product contains 655 amino acids comprising of the N-terminal amino acids 1-95 of TPD52L1 and C-terminal amino acids of 1789-2348 of ROS1. In summary, TPD52L1-ROS1 is a novel ROS1 fusion variant in NSCLC identified by comprehensive genomic profiling and should be included in any ROS1 detecting assays that depend on identifying the corresponding fusion partners, such as reverse transcriptase-polymerase chain reaction (RT-PCR).

Pekow J, Dougherty U, Huang Y, et al.
Gene signature distinguishes patients with chronic ulcerative colitis harboring remote neoplastic lesions.
Inflamm Bowel Dis. 2013; 19(3):461-70 [PubMed] Free Access to Full Article Related Publications
BACKGROUND: Individuals with ulcerative colitis (UC) are at increased risk for colorectal cancer. The standard method of surveillance for neoplasia in UC by colonoscopy is invasive and can miss flat lesions. We sought to identify a gene expression signature in nondysplastic mucosa without active inflammation that could serve as a marker for remote neoplastic lesions.
METHODS: Gene expression was analyzed by complementary DNA microarray in 5 normal controls, 4 UC patients without dysplasia, and 11 UC patients harboring remote neoplasia. Common gene ontology pathways of significantly differentially expressed genes were identified. Expression of genes which were progressively and significantly upregulated from controls to UC without neoplasia, to UC with remote neoplasia were evaluated by real-time polymerase chain reaction. Several gene products were also examined by immunohistochemistry.
RESULTS: Four hundred and sixty-eight genes were significantly upregulated, and 541 genes were significantly downregulated in UC patients with neoplasia compared with UC patients without neoplasia. Nine genes (ACSL1, BIRC3, CLC, CREM, ELTD1, FGG, S100A9, THBD, and TPD52L1) were progressively and significantly upregulated from controls to nondysplastic UC to UC with neoplasia. Immunostaining of proteins revealed increased expression of S100A9 and REG1α in UC-associated cancer and in nondysplastic tissue from UC patients harboring remote neoplasia compared with UC patients without neoplasia and controls.
CONCLUSIONS: Gene expression changes occurring as a field effect in the distal colon of patients with chronic UC identify patients harboring remote neoplastic lesions. These markers may lead to a more accurate and less invasive method of detection of neoplasia in patients with inflammatory bowel disease.

Shehata M, Bièche I, Boutros R, et al.
Nonredundant functions for tumor protein D52-like proteins support specific targeting of TPD52.
Clin Cancer Res. 2008; 14(16):5050-60 [PubMed] Related Publications
PURPOSE: Tumor protein D52 (TPD52 or D52) is frequently overexpressed in breast and other cancers and present at increased gene copy number. It is, however, unclear whether D52 amplification and overexpression target specific functional properties of the encoded protein.
EXPERIMENTAL DESIGN: The expression of D52-like genes and MAL2 was compared in breast tissues using quantitative reverse transcription-PCR. The functions of human D52 and D53 genes were then compared by stable expression in BALB/c 3T3 fibroblasts and transient gene knockdown in breast carcinoma cell lines. In situ D52 and MAL2 protein expression was analyzed in breast tissue samples using tissue microarray sections.
RESULTS: The D52 (8q21.13), D54 (20q13.33), and MAL2 (8q24.12) genes were significantly overexpressed in breast cancer tissue (n = 95) relative to normal breast (n = 7; P CONCLUSION: D52 overexpression in cancer reflects specific targeting and may contribute to a more proliferative, aggressive tumor phenotype in breast cancer.

Abba MC, Sun H, Hawkins KA, et al.
Breast cancer molecular signatures as determined by SAGE: correlation with lymph node status.
Mol Cancer Res. 2007; 5(9):881-90 [PubMed] Free Access to Full Article Related Publications
Global gene expression measured by DNA microarray platforms have been extensively used to classify breast carcinomas correlating with clinical characteristics, including outcome. We generated a breast cancer Serial Analysis of Gene Expression (SAGE) high-resolution database of approximately 2.7 million tags to perform unsupervised statistical analyses to obtain the molecular classification of breast-invasive ductal carcinomas in correlation with clinicopathologic features. Unsupervised statistical analysis by means of a random forest approach identified two main clusters of breast carcinomas, which differed in their lymph node status (P=0.01); this suggested that lymph node status leads to globally distinct expression profiles. A total of 245 (55 up-modulated and 190 down-modulated) transcripts were differentially expressed between lymph node (+) and lymph node (-) primary breast tumors (fold change, >or=2; P<0.05). Various lymph node (+) up-modulated transcripts were validated in independent sets of human breast tumors by means of real-time reverse transcription-PCR (RT-PCR). We validated significant overexpression of transcripts for HOXC10 (P=0.001), TPD52L1 (P=0.007), ZFP36L1 (P=0.011), PLINP1 (P=0.013), DCTN3 (P=0.025), DEK (P=0.031), and CSNK1D (P=0.04) in lymph node (+) breast carcinomas. Moreover, the DCTN3 (P=0.022) and RHBDD2 (P=0.002) transcripts were confirmed to be overexpressed in tumors that recurred within 6 years of follow-up by real-time RT-PCR. In addition, meta-analysis was used to compare SAGE data associated with lymph node (+) status with publicly available breast cancer DNA microarray data sets. We have generated evidence indicating that the pattern of gene expression in primary breast cancers at the time of surgical removal could discriminate those tumors with lymph node metastatic involvement using SAGE to identify specific transcripts that behave as predictors of recurrence as well.

L'Espérance S, Popa I, Bachvarova M, et al.
Gene expression profiling of paired ovarian tumors obtained prior to and following adjuvant chemotherapy: molecular signatures of chemoresistant tumors.
Int J Oncol. 2006; 29(1):5-24 [PubMed] Related Publications
Chemotherapy (CT) resistance in ovarian cancer is related to multiple factors, and assessment of these factors is necessary for the development of new drugs and therapeutic regimens. In an effort to identify such determinants, we evaluated the expression of approximately 21,000 genes using DNA microarray screening in paired tumor samples taken prior to and after CT treatment from 6 patients with predominantly advanced stage, high-grade epithelial ovarian cancer. A subset of differentially expressed genes was selected from all microarray data by initial filtering on confidence at p=0.05, followed by filtering on expression level (>or=2-fold). Using these selection criteria, we found 121 genes to be commonly up-regulated and 54 genes to be down-regulated in the post-CT tumors, compared to primary tumors. Up-regulated genes in post-CT tumors included substantial number of genes with previously known implication in mechanisms of chemoresistance (TOP2A, ETV4, ABCF2, PRDX2, COX2, COX7B, MUC1, MT3, MT2A), and tumorigenesis (SCGB2A2, S100A9, YWHAE, SFN, ATP6AP1, MGC5528, ASS, TACC3, ARHGAP4, SRA1; MGC35136, PSAP, SPTAN1, LGALS3BP, TUBA4, AMY2B, PPIA, COX1, GRB2, CTSL). Down-regulated genes in post-CT samples mostly included genes implicated in chemosensitivity (GRP, TRA1, ADPRTL1, TRF4-2), cell proliferation and cell cycle control (NGFRAP1, TPD52L1, TAX1BP1) and tumor suppression and apoptosis (SMOC2, TIMP3, AXIN1, CASP4, P53SCV). Additionally, gene clustering analysis revealed the existence of two distinct expression signatures of chemoresistant tumors, which was further confirmed by assessment of some genetic (p53 gene mutation status) and clinical parameters (CT regimens). Our data suggest that intrinsic and acquired chemoresistant phenotypes of post-CT tumors may be attributed to the combined action of different factors implicated in mechanisms of chemoresistance, tumor invasion/progression and control of cell proliferation. This type of molecular profiling could have important clinical implications in resolving chemoresistance and the development of novel treatment strategies designed to prevent its emergence.

Barbaric D, Byth K, Dalla-Pozza L, Byrne JA
Expression of tumor protein D52-like genes in childhood leukemia at diagnosis: clinical and sample considerations.
Leuk Res. 2006; 30(11):1355-63 [PubMed] Related Publications
The tumor protein D52 gene or protein is frequently overexpressed in several carcinomas, and has been identified as a B cell differentiation marker. D52-like genes are also differentially expressed in particular haematological malignancies, where transcript or protein levels may reflect cellular proliferative or differentiative status. We used RT-PCR to analyse the expression of three D52-like genes in bone marrow at the time of ALL or AML diagnosis in children. Whereas D53 transcripts were undetectable in all samples, D52 and D54 transcripts were frequently detected in ALL and AML, where they were frequently co-expressed. While D52 and D54 transcripts were detected in T-ALL and pre-B ALL at comparable frequencies, D52 was less frequently detected in ALL bone marrow with hyperdiploid karyotypes, compared with samples with normal karyotypes. We also found that total RNA yields significantly differed according to D52 and D54 expression status, and that bone marrow freezer storage time (up to 945 days) differed significantly according to D52 expression status. These results indicate that D52-like genes are not ubiquitously expressed in leukemic bone marrow in children, and that RNA sample parameters may influence measures of gene expression more than commonly appreciated.

Boutros R, Bailey AM, Wilson SH, Byrne JA
Alternative splicing as a mechanism for regulating 14-3-3 binding: interactions between hD53 (TPD52L1) and 14-3-3 proteins.
J Mol Biol. 2003; 332(3):675-87 [PubMed] Related Publications
D52 (TPD52)-like proteins are coiled-coil motif-bearing proteins first identified through their expression in human breast carcinoma, which have been proposed to represent signalling intermediates and regulators of vesicle trafficking. D52-like gene transcripts are subject to alternative splicing, with sequences encoding a region termed insert 3 being affected in all three D52-like genes. We have now identified a 14-3-3 binding motif within one of two alternatively spliced exons encoding insert 3. As predicted from the distribution of 14-3-3 binding motifs in four hD52-like bait proteins tested, only a hD53 isoform encoding a 14-3-3 binding motif bound both 14-3-3beta and 14-3-3zeta preys in the yeast two-hybrid system. Since D53 proteins carrying 14-3-3 binding motifs are predicted to be widely expressed, polyclonal antisera were derived to specifically detect these isoforms. Using soluble protein extracts from breast carcinoma cell lines, pull-down assays replicated interactions between recombinant 14-3-3beta and 14-3-3zeta isoforms and exogenously expressed hD53, and co-immunoprecipitation analyses demonstrated interactions between endogenous 14-3-3 and both endogenously and exogenously-expressed hD53 protein. Co-expressed hD53 and 14-3-3 proteins were similarly demonstrated to co-localise within the cytoplasm of breast carcinoma cell lines. These results identify 14-3-3 proteins as partners for hD53, and alternative splicing as a mechanism for regulating 14-3-3 binding.

Byrne JA, Mattei MG, Basset P, Gunning P
Identification and in situ hybridization mapping of a mouse Tpd52l1 (D53) orthologue to chromosome 10A4-B2.
Cytogenet Cell Genet. 1998; 81(3-4):199-201 [PubMed] Related Publications
We report the identification of a mouse cDNA Tpd52l1 (tumor protein D52-like 1), which represents the first demonstrated orthologue of the human TPD52L1 (alias D53) gene, a member of the breast carcinoma-associated TPD52 (alias D52) gene family. In situ hybridization mapping located the Tpd52l1 gene to chromosome 10A4-10B2. Since the TPD52L1 gene is found at human chromosome 6q22-->q23, the mouse and human TPD52L1 loci are syntenically conserved.

Byrne JA, Nourse CR, Basset P, Gunning P
Identification of homo- and heteromeric interactions between members of the breast carcinoma-associated D52 protein family using the yeast two-hybrid system.
Oncogene. 1998; 16(7):873-81 [PubMed] Related Publications
The hD52 gene was originally identified through its elevated expression level in human breast carcinoma. Cloning of D52 homologues from other species has indicated that D52 may play roles in calcium-mediated signal transduction and cell proliferation. Two human homologues of hD52, hD53 and hD54, have also been identified, demonstrating the existence of a novel gene/protein family. Since D52-like protein sequences are all predicted to contain a coiled-coil domain, we used the yeast two-hybrid system and glutathione S-transferase pull-down assays to investigate whether homo- and/or heteromeric interactions occur between D52-like proteins. Analyses of yeast strains co-transfected with paired D52-like constructs indicated that D52-like fusion proteins interact in homo- and heteromeric fashions through their predicted coiled-coil domains. Similarly, extensive two-hybrid screenings of a human breast carcinoma expression library identified hD53 and hD52 as potential interactors for both hD52 and hD53 baits. Thus, D52-like proteins appear to exert and/or regulate their activities through specific interactions with other D52-like proteins, which in turn may be intrinsic to potential roles of these molecules in controlling cell proliferation.

Byrne JA, Mattei MG, Basset P
Definition of the tumor protein D52 (TPD52) gene family through cloning of D52 homologues in human (hD53) and mouse (mD52).
Genomics. 1996; 35(3):523-32 [PubMed] Related Publications
Cloning is reported of a cDNA homologue to the breast carcinoma-associated D52 cDNA, termed D53, and of a mouse D52 cDNA (HGMW-approved symbols TPD52L1 and TPD52). Human D53 and mouse D52 proteins are predicted to be 52 and 86% identical to human D52, respectively. Analysis of the three protein sequences identified a coiled-coil domain and N- and C-terminally located PEST domains in each. The conservation of homology between the D52 and the D53 sequences, combined with a lack of homology between these and known proteins, defines a new mammalian gene/protein family, the D52 family. The human D52 locus has been previously mapped to chromosome 8q21, and using in situ mapping in the present study, a human D53 locus was mapped to chromosome 6q22-q23. We observed coexpression of the human D52 and D53 genes in some breast tumors and derivative cell lines and found that maintenance of D52 and D53 transcript levels in estrogen receptor-positive MCF7 breast carcinoma cells depends upon estradiol. However, D52 and D53 genes were specifically expressed in HL-60 and K-562 leukemia cells, respectively, with 12-O-tetra-decanoylphorbol-13-acetate treatment decreasing D52 and D53 transcript levels in these cell lines. The presence of a coiled-coil domain, combined with observed co- or independent expression of the D52 and D53 genes, suggests that D52 and D53 proteins may be capable of hetero- and/or homodimer formation.

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Cite this page: Cotterill SJ. TPD52L1, Cancer Genetics Web: Accessed:

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