IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v7y2022i5p64-d813462.html
   My bibliography  Save this article

Comprehensive Landscape of STEAP Family Members Expression in Human Cancers: Unraveling the Potential Usefulness in Clinical Practice Using Integrated Bioinformatics Analysis

Author

Listed:
  • Sandra M. Rocha

    (CICS-UBI—Health Sciences Research Center, Universidade da Beira Interior, 6201-506 Covilhã, Portugal)

  • Sílvia Socorro

    (CICS-UBI—Health Sciences Research Center, Universidade da Beira Interior, 6201-506 Covilhã, Portugal
    C4-UBI—Cloud Computing Competence Center, Universidade da Beira Interior, 6200-501 Covilhã, Portugal)

  • Luís A. Passarinha

    (CICS-UBI—Health Sciences Research Center, Universidade da Beira Interior, 6201-506 Covilhã, Portugal
    Associate Laboratory i4HB—Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2819-516 Costa da Caparica, Portugal
    UCIBIO—Applied Molecular Biosciences Unit, Department of Chemistry, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2819-516 Costa da Caparica, Portugal
    Laboratório de Fármaco-Toxicologia-UBIMedical, Universidade da Beira Interior, 6201-284 Covilhã, Portugal)

  • Cláudio J. Maia

    (CICS-UBI—Health Sciences Research Center, Universidade da Beira Interior, 6201-506 Covilhã, Portugal
    C4-UBI—Cloud Computing Competence Center, Universidade da Beira Interior, 6200-501 Covilhã, Portugal)

Abstract

The human Six-Transmembrane Epithelial Antigen of the Prostate (STEAP) family comprises STEAP1-4. Several studies have pointed out STEAP proteins as putative biomarkers, as well as therapeutic targets in several types of human cancers, particularly in prostate cancer. However, the relationships and significance of the expression pattern of STEAP1-4 in cancer cases are barely known. Herein, the Oncomine database and cBioPortal platform were selected to predict the differential expression levels of STEAP members and clinical prognosis. The most common expression pattern observed was the combination of the over- and underexpression of distinct STEAP genes, but cervical and gastric cancer and lymphoma showed overexpression of all STEAP genes. It was also found that STEAP genes’ expression levels were already deregulated in benign lesions. Regarding the prognostic value, it was found that STEAP1 (prostate), STEAP2 (brain and central nervous system), STEAP3 (kidney, leukemia and testicular) and STEAP4 (bladder, cervical, gastric) overexpression correlate with lower patient survival rate. However, in prostate cancer, overexpression of the STEAP4 gene was correlated with a higher survival rate. Overall, this study first showed that the expression levels of STEAP genes are highly variable in human cancers, which may be related to different patients’ outcomes.

Suggested Citation

  • Sandra M. Rocha & Sílvia Socorro & Luís A. Passarinha & Cláudio J. Maia, 2022. "Comprehensive Landscape of STEAP Family Members Expression in Human Cancers: Unraveling the Potential Usefulness in Clinical Practice Using Integrated Bioinformatics Analysis," Data, MDPI, vol. 7(5), pages 1-48, May.
  • Handle: RePEc:gam:jdataj:v:7:y:2022:i:5:p:64-:d:813462
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/7/5/64/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2306-5729/7/5/64/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christina Curtis & Sohrab P. Shah & Suet-Feung Chin & Gulisa Turashvili & Oscar M. Rueda & Mark J. Dunning & Doug Speed & Andy G. Lynch & Shamith Samarajiwa & Yinyin Yuan & Stefan Gräf & Gavin Ha & Gh, 2012. "The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups," Nature, Nature, vol. 486(7403), pages 346-352, June.
    2. Catherine S. Grasso & Yi-Mi Wu & Dan R. Robinson & Xuhong Cao & Saravana M. Dhanasekaran & Amjad P. Khan & Michael J. Quist & Xiaojun Jing & Robert J. Lonigro & J. Chad Brenner & Irfan A. Asangani & B, 2012. "The mutational landscape of lethal castration-resistant prostate cancer," Nature, Nature, vol. 487(7406), pages 239-243, July.
    3. Charles M. Perou & Therese Sørlie & Michael B. Eisen & Matt van de Rijn & Stefanie S. Jeffrey & Christian A. Rees & Jonathan R. Pollack & Douglas T. Ross & Hilde Johnsen & Lars A. Akslen & Øystein Flu, 2000. "Molecular portraits of human breast tumours," Nature, Nature, vol. 406(6797), pages 747-752, August.
    4. Agnieszka M Borys & Michał Seweryn & Tomasz Gołąbek & Łukasz Bełch & Agnieszka Klimkowska & Justyna Totoń-Żurańska & Julita Machlowska & Piotr Chłosta & Krzysztof Okoń & Paweł P Wołkow, 2019. "Patterns of gene expression characterize T1 and T3 clear cell renal cell carcinoma subtypes," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-19, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peter Eirew & Ciara O’Flanagan & Jerome Ting & Sohrab Salehi & Jazmine Brimhall & Beixi Wang & Justina Biele & Teresa Algara & So Ra Lee & Corey Hoang & Damian Yap & Steven McKinney & Cherie Bates & E, 2022. "Accurate determination of CRISPR-mediated gene fitness in transplantable tumours," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    2. M. G. Filippone & D. Gaglio & R. Bonfanti & F. A. Tucci & E. Ceccacci & R. Pennisi & M. Bonanomi & G. Jodice & M. Tillhon & F. Montani & G. Bertalot & S. Freddi & M. Vecchi & A. Taglialatela & M. Roma, 2022. "CDK12 promotes tumorigenesis but induces vulnerability to therapies inhibiting folate one-carbon metabolism in breast cancer," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    3. Silje Kjølle & Kenneth Finne & Even Birkeland & Vandana Ardawatia & Ingeborg Winge & Sura Aziz & Gøril Knutsvik & Elisabeth Wik & Joao A. Paulo & Heidrun Vethe & Dimitrios Kleftogiannis & Lars A. Aksl, 2023. "Hypoxia induced responses are reflected in the stromal proteome of breast cancer," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    4. Zheqi Li & Olivia McGinn & Yang Wu & Amir Bahreini & Nolan M. Priedigkeit & Kai Ding & Sayali Onkar & Caleb Lampenfeld & Carol A. Sartorius & Lori Miller & Margaret Rosenzweig & Ofir Cohen & Nikhil Wa, 2022. "ESR1 mutant breast cancers show elevated basal cytokeratins and immune activation," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    5. Karama Asleh & Gian Luca Negri & Sandra E. Spencer Miko & Shane Colborne & Christopher S. Hughes & Xiu Q. Wang & Dongxia Gao & C. Blake Gilks & Stephen K. L. Chia & Torsten O. Nielsen & Gregg B. Morin, 2022. "Proteomic analysis of archival breast cancer clinical specimens identifies biological subtypes with distinct survival outcomes," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    6. Lingsong Meng & Dorina Avram & George Tseng & Zhiguang Huo, 2022. "Outcome‐guided sparse K‐means for disease subtype discovery via integrating phenotypic data with high‐dimensional transcriptomic data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(2), pages 352-375, March.
    7. Chih-Wei Chou & Chia-Nung Hung & Cheryl Hsiang-Ling Chiu & Xi Tan & Meizhen Chen & Chien-Chin Chen & Moawiz Saeed & Che-Wei Hsu & Michael A. Liss & Chiou-Miin Wang & Zhao Lai & Nathaniel Alvarez & Paw, 2023. "Phagocytosis-initiated tumor hybrid cells acquire a c-Myc-mediated quasi-polarization state for immunoevasion and distant dissemination," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    8. Yang, Xi & Hoadley, Katherine A. & Hannig, Jan & Marron, J.S., 2023. "Jackstraw inference for AJIVE data integration," Computational Statistics & Data Analysis, Elsevier, vol. 180(C).
    9. Aleix Prat & Fara Brasó-Maristany & Olga Martínez-Sáez & Esther Sanfeliu & Youli Xia & Meritxell Bellet & Patricia Galván & Débora Martínez & Tomás Pascual & Mercedes Marín-Aguilera & Anna Rodríguez &, 2023. "Circulating tumor DNA reveals complex biological features with clinical relevance in metastatic breast cancer," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    10. Manish G & Anil Kumar Badana & Rama Rao Malla, 2017. "Emerging Diagnostic and Prognostic Biomarkers of Triple Negative Breast Cancer," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 1(3), pages 561-565, August.
    11. Jacob Elnaggar & Fern Tsien & Lucio Miele & Chindo Hicks & Clayton Yates & Melisa Davis, 2019. "An Integrative Genomics Approach for Associating Genetic Susceptibility with the Tumor Immune Microenvironment in Triple Negative Breast Cancer," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 15(1), pages 1-12, February.
    12. Egashira, Kento & Yata, Kazuyoshi & Aoshima, Makoto, 2024. "Asymptotic properties of hierarchical clustering in high-dimensional settings," Journal of Multivariate Analysis, Elsevier, vol. 199(C).
    13. María Elena Martínez & Jonathan T Unkart & Li Tao & Candyce H Kroenke & Richard Schwab & Ian Komenaka & Scarlett Lin Gomez, 2017. "Prognostic significance of marital status in breast cancer survival: A population-based study," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-14, May.
    14. Liang, Weijuan & Zhang, Qingzhao & Ma, Shuangge, 2024. "Hierarchical false discovery rate control for high-dimensional survival analysis with interactions," Computational Statistics & Data Analysis, Elsevier, vol. 192(C).
    15. Yishai Shimoni, 2018. "Association between expression of random gene sets and survival is evident in multiple cancer types and may be explained by sub-classification," PLOS Computational Biology, Public Library of Science, vol. 14(2), pages 1-15, February.
    16. Marcin Pilarczyk & Mehdi Fazel-Najafabadi & Michal Kouril & Behrouz Shamsaei & Juozas Vasiliauskas & Wen Niu & Naim Mahi & Lixia Zhang & Nicholas A. Clark & Yan Ren & Shana White & Rashid Karim & Huan, 2022. "Connecting omics signatures and revealing biological mechanisms with iLINCS," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    17. Hugh Chen & Scott M. Lundberg & Su-In Lee, 2022. "Explaining a series of models by propagating Shapley values," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    18. Junhee Seok & Ronald W Davis & Wenzhong Xiao, 2015. "A Hybrid Approach of Gene Sets and Single Genes for the Prediction of Survival Risks with Gene Expression Data," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-15, May.
    19. Qing Qu & Yan Mao & Xiao-chun Fei & Kun-wei Shen, 2013. "The Impact of Androgen Receptor Expression on Breast Cancer Survival: A Retrospective Study and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-1, December.
    20. Adam C. Weiner & Marc J. Williams & Hongyu Shi & Ignacio Vázquez-García & Sohrab Salehi & Nicole Rusk & Samuel Aparicio & Sohrab P. Shah & Andrew McPherson, 2024. "Inferring replication timing and proliferation dynamics from single-cell DNA sequencing data," Nature Communications, Nature, vol. 15(1), pages 1-19, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:7:y:2022:i:5:p:64-:d:813462. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.