Skip to main content

Advertisement

Log in

Increased expression of P-cadherin is an indicator of poor prognosis in breast cancer: a systematic review and meta-analysis

  • Review
  • Published:
Breast Cancer Research and Treatment Aims and scope Submit manuscript

Abstract

Purpose

P-cadherin (CDH3), located at 16q22.1 belonging to classical cadherin family, is a calcium-dependent glycoprotein associated with cell to cell adhesion, migration, and invasion in cancer. This meta-analysis was conducted to examine the prognostic utility of P-cadherin expression in breast cancer (BC).

Methods

A comprehensive literature search was carried out using the available databases to obtain relevant research articles to test the relationship between P-cadherin and BC. Correlation of P-cadherin expression and disease-free survival (DFS) or overall survival (OS) was tested using hazard ratio (HR), relative risk (RR) at 95% confidence interval (CI) by univariate and/or multivariate analysis. A total of 11 studies from 7 countries were found to be relevant and were further subjected to statistical analysis to find an association between the P-cadherin expression with BC. Additionally, we have also performed a co-relation analysis of P-cadherin expression with GOBO and Cancertool in breast cancer using publicly available breast cancer datasets.

Results

Our study shows that P-cadherin expression is significantly linked with poor prognosis in the various subtypes of BC. The HR for OS and DFS was 1.87 (95% CI = 1.48–2.36) and 1.64 (95% CI = 1.18–2.27) respectively.

Conclusions

In this meta-analysis, we identified a positive correlation between the overexpression of P-cadherin and BC. Our study demonstrates that P-cadherin overexpression can be used as a prognostic indicator in BC.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. (2018) How Common Is Breast Cancer?| Breast Cancer Statistics. In: American Cancer Society https://www.cancer.org/cancer/breast-cancer/about/how-common-is-breast-cancer.html. Accessed 6 Aug 2019

  2. Bray F, Ferlay J, Soerjomataram I et al (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 68:394–424. https://doi.org/10.3322/caac.21492

    Article  PubMed  Google Scholar 

  3. Vallejos CS, Gómez HL, Cruz WR et al (2010) Breast cancer classification according to immunohistochemistry markers: subtypes and association with clinicopathologic variables in a peruvian hospital database. Clin Breast Cancer 10:294–300. https://doi.org/10.3816/CBC.2010.n.038

    Article  PubMed  Google Scholar 

  4. Sorlie T, Perou CM, Tibshirani R et al (2001) Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci 98:10869–10874. https://doi.org/10.1073/pnas.191367098

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Dai X, Xiang L, Li T, Bai Z (2016) Cancer hallmarks, biomarkers and breast cancer molecular subtypes. J Cancer 7:1281–1294. https://doi.org/10.7150/jca.13141

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Madhavan M, Srinivas P, Abraham E et al (2001) Cadherins as predictive markers of nodal metastasis in breast cancer. Mod Pathol 14:423–427. https://doi.org/10.1038/modpathol.3880329

    Article  CAS  PubMed  Google Scholar 

  7. Maître JL, Heisenberg CP (2013) Three functions of cadherins in cell adhesion. Curr Biol 23:R626–R633

    Article  PubMed  PubMed Central  Google Scholar 

  8. Paredes J, Correia AL, Ribeiro AS et al (2007) P-cadherin expression in breast cancer: a review. Breast Cancer Res 9:214. https://doi.org/10.1186/bcr1774

    Article  PubMed  PubMed Central  Google Scholar 

  9. Vieira AF, Paredes J (2015) P-cadherin and the journey to cancer metastasis. Mol Cancer 14:1–12. https://doi.org/10.1186/s12943-015-0448-4

    Article  CAS  Google Scholar 

  10. The Cancer Genome Atlas Pan-Cancer analysis project, Weinstein JN, Collisson EA et al (2013) The cancer genome atlas pan-cancer analysis project. Nat Genet 45:1113–1120. https://doi.org/10.1186/s12943-015-0448-4

    Article  CAS  Google Scholar 

  11. Albergaria A, Ribeiro AS, Vieira AF et al (2011) P-cadherin role in normal breast development and cancer. Int J Dev Biol 55:811–822. https://doi.org/10.1387/ijdb.113382aa

    Article  PubMed  Google Scholar 

  12. Thiery JP (2002) Epithelial–mesenchymal transitions in tumour progression. Nat Rev Cancer 2:442–454. https://doi.org/10.1038/nrc822

    Article  CAS  PubMed  Google Scholar 

  13. Sarrió D, Rodriguez-Pinilla SM, Hardisson D et al (2008) Epithelial-mesenchymal transition in breast cancer relates to the basal-like phenotype. Cancer Res 68:989–997. https://doi.org/10.1158/0008-5472.CAN-07-2017

    Article  CAS  PubMed  Google Scholar 

  14. Paredes J, Albergaria A, Oliveira JT et al (2005) P-cadherin overexpression is an indicator of clinical outcome in invasive breast carcinomas and is associated with CDH3 promoter hypomethylation. Clin Cancer Res 11:5869–5877. https://doi.org/10.1158/1078-0432.CCR-05-0059

    Article  CAS  PubMed  Google Scholar 

  15. Paredes J, Correia AL, Ribeiro AS et al (2008) Breast carcinomas that co-express E- and P-cadherin are associated with p120-catenin cytoplasmic localisation and poor patient survival. J Clin Pathol 61:856–862. https://doi.org/10.1136/jcp.2007.052704

    Article  CAS  PubMed  Google Scholar 

  16. Ribeiro AS, Albergaria A, Sousa B et al (2010) Extracellular cleavage and shedding of P-cadherin: a mechanism underlying the invasive behaviour of breast cancer cells. Oncogene 29:392–402. https://doi.org/10.1038/onc.2009.338

    Article  CAS  PubMed  Google Scholar 

  17. Van Marck V, Stove C, Van Den Bossche K et al (2005) P-cadherin promotes cell-cell adhesion and counteracts invasion in human melanoma. Cancer Res 65:8774–8783. https://doi.org/10.1158/0008-5472.CAN-04-4414

    Article  CAS  PubMed  Google Scholar 

  18. Paredes J, Milanezi F, Reis-Filho JS et al (2002) Aberrant P-cadherin expression: is it associated with estrogen-independent growth in breast cancer? Pathol Res Pract 198:795–801. https://doi.org/10.1078/0344-0338-00338

    Article  CAS  PubMed  Google Scholar 

  19. Ben Hamida A, Charafe-Jauffret E, Bertucci F et al (2008) Markers of subtypes in inflammatory breast cancer studied by immunohistochemistry: prominent expression of P-cadherin. BMC Cancer. https://doi.org/10.1186/1471-2407-8-28

    Article  PubMed  PubMed Central  Google Scholar 

  20. Albergaria A, Ribeiro AS, Pinho S et al (2010) ICI 182,780 induces P-cadherin overexpression in breast cancer cells through chromatin remodelling at the promoter level: a role for C/EBPβ in CDH3 gene activation. Hum Mol Genet 19:2554–2566. https://doi.org/10.1093/hmg/ddq134

    Article  CAS  PubMed  Google Scholar 

  21. Tsang JYS, Au S-K, Ni Y-B et al (2013) P-cadherin and vimentin are useful basal markers in breast cancers. Hum Pathol 44:2782–2791. https://doi.org/10.1016/j.humpath.2013.07.029

    Article  CAS  PubMed  Google Scholar 

  22. Paredes J, Stove C, Stove V et al (2004) P-cadherin is up-regulated by the antiestrogen ICI 182,780 and promotes invasion of human breast cancer cells. Cancer Res 64:8309–8317. https://doi.org/10.1158/0008-5472.CAN-04-0795

    Article  CAS  PubMed  Google Scholar 

  23. Kjaer KW, Hansen L, Schwabe GC et al (2005) Distinct CDH3 mutations cause ectodermal dysplasia, ectrodactyly, macular dystrophy (EEM syndrome). J Med Genet 42:292–298. https://doi.org/10.1136/jmg.2004.027821

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Avitan-Hersh E, Indelman M, Khamaysi Z et al (2012) A novel nonsense CDH3 mutation in hypotrichosis with juvenile macular dystrophy. Int J Dermatol 51:325–327. https://doi.org/10.1111/j.1365-4632.2011.04973.x

    Article  CAS  PubMed  Google Scholar 

  25. Turashvili G, McKinney SE, Goktepe O et al (2011) P-cadherin expression as a prognostic biomarker in a 3992 case tissue microarray series of breast cancer. Mod Pathol 24:64–81. https://doi.org/10.1038/modpathol.2010.189

    Article  CAS  PubMed  Google Scholar 

  26. Vieira AF, Ribeiro AS, Dionísio MR et al (2014) P-cadherin signals through the laminin receptor α6β4 integrin to induce stem cell and invasive properties in basal-like breast cancer cells. Oncotarget 5:679–692. https://doi.org/10.18632/oncotarget.1459

    Article  PubMed  PubMed Central  Google Scholar 

  27. Liberati A, Altman DG, Tetzlaff J et al (2009) The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med 6:e1000100. https://doi.org/10.1371/journal.pmed.1000100

    Article  PubMed  PubMed Central  Google Scholar 

  28. Cheung LWT, Leung PCK, Wong AST (2010) Cadherin switching and activation of p120 catenin signaling are mediators of gonadotropin-releasing hormone to promote tumor cell migration and invasion in ovarian cancer. Oncogene 29:2427–2440. https://doi.org/10.1038/onc.2009.523

    Article  CAS  PubMed  Google Scholar 

  29. Suurmond R, van Rhee H, Hak T (2017) Introduction, comparison, and validation of meta-essentials: a free and simple tool for meta-analysis. Res Synth Methods 8:537–553. https://doi.org/10.1002/jrsm.1260

    Article  PubMed  PubMed Central  Google Scholar 

  30. DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7:177–188. https://doi.org/10.1016/0197-2456(86)90046-2

    Article  CAS  PubMed  Google Scholar 

  31. Lewis S, Clarke M (2001) Forest plots: trying to see the wood and the trees. BMJ 322:1479–1480

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Begg CB, Mazumdar M (1994) Operating characteristics of a rank correlation test for publication bias. Biometrics 50:1088. https://doi.org/10.2307/2533446

    Article  CAS  PubMed  Google Scholar 

  33. Stuck AE, Rubenstein LZ, Wieland D et al (1998) Bias in meta-analysis detected by a simple, graphical. BMJ 316:469. https://doi.org/10.1136/bmj.316.7129.469

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Ringnér M, Fredlund E, Häkkinen J et al (2011) GOBO: gene expression-based outcome for breast cancer online. PLoS ONE 6:e17911. https://doi.org/10.1371/journal.pone.0017911

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Cortazar AR, Torrano V, Martín-Martín N et al (2018) Cancertool: a visualization and representation interface to exploit cancer datasets. Cancer Res 78:6320–6328. https://doi.org/10.1158/0008-5472.CAN-18-1669

    Article  CAS  PubMed  Google Scholar 

  36. Ivshina AV, George J, Senko O et al (2006) Genetic reclassification of histologic grade delineates new clinical subtypes of breast cancer. Cancer Res 66:10292–10301. https://doi.org/10.1158/0008-5472.CAN-05-4414

    Article  CAS  PubMed  Google Scholar 

  37. Lu X, Lu X, Wang ZC et al (2008) Predicting features of breast cancer with gene expression patterns. Breast Cancer Res Treat 108:191–201. https://doi.org/10.1007/s10549-007-9596-6

    Article  CAS  PubMed  Google Scholar 

  38. Pereira B, Chin SF, Rueda OM et al (2016) The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes. Nat Commun 7:11479. https://doi.org/10.1038/ncomms11479

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Pawitan Y, Bjöhle J, Amler L et al (2005) Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts. Breast Cancer Res 7:R953. https://doi.org/10.1186/bcr1325

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Huguet A, Hayden JA, Stinson J et al (2013) Judging the quality of evidence in reviews of prognostic factor research: adapting the GRADE framework. Syst Rev. https://doi.org/10.1186/2046-4053-2-71

    Article  PubMed  PubMed Central  Google Scholar 

  41. Creemers H, Grupstra H, Nollet F et al (2015) Prognostic factors for the course of functional status of patients with ALS: a systematic review. J Neurol 262:1407–1423. https://doi.org/10.1007/s00415-014-7564-8

    Article  CAS  PubMed  Google Scholar 

  42. De Palma M, Hanahan D (2012) The biology of personalized cancer medicine: facing individual complexities underlying hallmark capabilities. Mol Oncol 6:111–127. https://doi.org/10.1016/j.molonc.2012.01.011

    Article  PubMed  PubMed Central  Google Scholar 

  43. Sawyers CL (2008) The cancer biomarker problem. Nature 452:548–552

    Article  CAS  PubMed  Google Scholar 

  44. Liu N, Yu Q, Liu TJ et al (2012) P-cadherin expression and basal-like subtype in breast cancers. Med Oncol 29:2606–2612. https://doi.org/10.1007/s12032-012-0218-8

    Article  CAS  PubMed  Google Scholar 

  45. Bussemakers MJG, Vanbokhoven A, Voller M et al (1994) The genes for the calcium-dependent cell adhesion molecules P- and E-cadherin are tandemly arranged in the human genome. Biochem Biophys Res Commun 203:1291–1294. https://doi.org/10.1006/BBRC.1994.2322

    Article  CAS  PubMed  Google Scholar 

  46. Nose A, Takeichi M (1986) A novel cadherin cell adhesion molecule: its expression patterns associated with implantation and organogenesis of mouse embryos. J Cell Biol 103:2649–2658. https://doi.org/10.1083/jcb.103.6.2649

    Article  CAS  PubMed  Google Scholar 

  47. Paredes J, Milanezi F, Viegas L et al (2002) P-cadherin expression is associated with high-grade ductal carcinoma in situ of the breast. Virchows Arch 440:16–21. https://doi.org/10.1007/s004280100487

    Article  CAS  PubMed  Google Scholar 

  48. Rakha EA, Putti TC, Abd El-Rehim DM et al (2006) Morphological and immunophenotypic analysis of breast carcinomas with basal and myoepithelial differentiation. J Pathol 208:495–506. https://doi.org/10.1002/path.1916

    Article  CAS  PubMed  Google Scholar 

  49. Reynolds AB, Roczniak-Ferguson A (2004) Emerging roles for p120-catenin in cell adhesion and cancer. Oncogene 23:7947–7956. https://doi.org/10.1038/sj.onc.1208161

    Article  CAS  PubMed  Google Scholar 

  50. Ribeiro AS, Sousa B, Carreto L et al (2013) P-cadherin functional role is dependent on E-cadherin cellular context: a proof of concept using the breast cancer model. J Pathol 229:705–718. https://doi.org/10.1002/path.4143

    Article  CAS  PubMed  Google Scholar 

  51. Switzer CH, Cheng RY-S, Ridnour LA et al (2012) Ets-1 is a transcriptional mediator of oncogenic nitric oxide signaling in estrogen receptor-negative breast cancer. Breast Cancer Res 14:125

    Article  Google Scholar 

  52. Lakis S, Dimoudis S, Kotoula V et al (2016) Interaction between beta-catenin and EGFR expression by immunohistochemistry identifies prognostic subgroups in early high-risk triple-negative breast cancer. Anticancer Res 36:2365–2378

    PubMed  Google Scholar 

  53. Arnes JB, Collett K, Akslen LA (2008) Independent prognostic value of the basal-like phenotype of breast cancer and associations with EGFR and candidate stem cell marker BMI-1. Histopathology 52:370–380. https://doi.org/10.1111/j.1365-2559.2007.02957.x

    Article  CAS  PubMed  Google Scholar 

  54. Arnes JB, Bégin LR, Stefansson I et al (2009) Expression of epidermal growth factor receptor in relation to BRCA1 status, basal-like markers and prognosis in breast cancer. J Clin Pathol 62:139–146. https://doi.org/10.1136/jcp.2008.056291

    Article  CAS  PubMed  Google Scholar 

  55. Faria G, Cardoso MJ, Martins D et al (2012) P-cadherin as prognostic factor for loco-regional relapse in breast cancer. Acta Med Port 25:97–105

    PubMed  Google Scholar 

  56. Kobayashi T, Iwaya K, Moriya T et al (2013) A simple immunohistochemical panel comprising 2 conventional markers, Ki67 and p53, is a powerful tool for predicting patient outcome in luminal-type breast cancer. BMC Clin Pathol 13:5. https://doi.org/10.1186/1472-6890-13-5

    Article  PubMed  PubMed Central  Google Scholar 

  57. Fanelli MA, Montt-Guevara M, Diblasi AM et al (2008) P-Cadherin and β-catenin are useful prognostic markers in breast cancer patients; β-catenin interacts with heat shock protein Hsp27. Cell Stress Chaperones 13:207–220. https://doi.org/10.1007/s12192-007-0007-z

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Vieira AF, Ricardo S, Ablett MP et al (2012) P-Cadherin is coexpressed with CD44 and CD49f and mediates stem cell properties in basal-like breast cancer. Stem Cells 30:854–864. https://doi.org/10.1002/stem.1075

    Article  CAS  PubMed  Google Scholar 

  59. Vieira AF, Dionísio MR, Gomes M, et al (2017) P-cadherin: a useful biomarker for axillary-based breast cancer decisions in the clinical practice. Mod Pathol 30:698–709. https://doi.org/10.1038/modpathol.2016.232

    Article  CAS  PubMed  Google Scholar 

  60. Sullivan HC, Oprea-Ilies G, Adams AL et al (2014) Triple-negative breast carcinoma in african american and caucasian women. Appl Immunohistochem Mol Morphol 22:17–23. https://doi.org/10.1097/PAI.0b013e318281148e

    Article  CAS  Google Scholar 

Download references

Acknowledgement

We thank Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India (Grant No: EMR/2016/002314) and Department of Biotechnology (DBT), Government of India (6242-P8/RGCB/PMD/DBT/SPDK/2015, BT/PR2423/AGR/36/700/2011) for financial support. The authors acknowledge the support from TIFAC CORE in Pharmacogenomics, Government of India; DST-FIST, Government of India for infrastructure support and Manipal Academy of Higher Education (MAHE) for TMA Pai structured Ph.D. fellowships. The funding source had no involvement in the conduct of the research and/or preparation of this article.

Funding

Funding

This study was funded by Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India (Grant No: EMR/2016/002314) and Department of Biotechnology (DBT), Government of India (6242-P8/RGCB/PMD/DBT/SPDK/2015, BT/PR2423/AGR/36/700/2011). The funding source had no involvement in the conduct of the research and/or preparation of this article.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shama Prasada Kabekkodu.

Ethics declarations

Conflict of interest

Authors Sriya Sridhar, Christabelle Rajesh, Padacherri Vethil Jishnu, Pradyumna Jayaram and Shama Prasada Kabekkodu declare that they have no conflict of interest.

Ethical approval

This manuscript complies with the ethical rules applicable for this journal.

Informed consent

For this type of study, formal consent is not required.

Research involving with human and animal rights

This article does not contain any studies with human participants or animals performed by any of the authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sridhar, S., Rajesh, C., Jishnu, P.V. et al. Increased expression of P-cadherin is an indicator of poor prognosis in breast cancer: a systematic review and meta-analysis. Breast Cancer Res Treat 179, 301–313 (2020). https://doi.org/10.1007/s10549-019-05477-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10549-019-05477-5

Keywords

Navigation