Skip to main content
Download PDF

Erratum: Accuracy of microRNAs as markers for the detection of neck lymph node metastases in patients with head and neck squamous cell carcinoma

BMC Medicine volume 13, Article number: 155 (2015) Cite this article

The Original Article was published on 09 May 2015

Author´s correction note

Upon reviewing our recently published research article [1], we noticed that some of the data presented in the manuscript and on the tables were incorrectly presented. These mistakes do not change the overall conclusions regarding the high accuracy of miR-203 and miR-205 as diagnostic markers of neck metastases in HNSCC.

Corrected text

1. (Page 8: End of “Validation and diagnostic accuracy of miR-203 and miR-205 expression in FNA samples”)

Please replace

All in all, the sensitivity rate for both markers was 92.9 % (39/42, CI 95 %, 80.5–98.4), with a specificity level of 100 % (71/71, CI 95 %, 94.9–100) (Table 2; Figure 6B).

Table 2 Sensitivity and specificity values of microRNAs evaluated in discriminating metastatic and non-metastatic lymph nodes in FFPE and FNA biopsies from lymph node samples
Full size table

With the amended text

All in all, the sensitivity rate for both markers was 93.3 % (42/45, CI 95 %, 81.7–98.6), with a specificity level of 100 % (68/68, CI 95 %, 94.7–100) (Table 2; Figure 6B).

Table 2 Sensitivity and specificity values of microRNAs evaluated in discriminating metastatic and non-metastatic lymph nodes in FFPE and FNA biopsies from lymph node samples
Full size table

2. (Page 8: End of “Validation and diagnostic accuracy of miR-203 and miR-205 expression in FNA samples”)

Please replace

Moreover, negative predictive values were of 95.9 % (95 % CI, 88.6–99.1 %) and positive predictive values of 100 % (95 % CI, 90.9–100 %) for both microRNAs (Table 3).

Table 3 Accuracy characteristics of microRNAs in discriminating metastatic and non-metastatic lymph nodes in FFPE and FNA biopsies from lymph node samples
Full size table

With the amended text

Moreover, negative predictive values were of 95.9 % (95 % CI, 88.6–99.1 %) and positive predictive values of 100% (95 % CI, 91.5–100 %) for both microRNAs (Table 3).

Table 3 Accuracy characteristics of microRNAs in discriminating metastatic and non-metastatic lymph nodes in FFPE and FNA biopsies from lymph node samples
Full size table

Reference

  1. de Carvalho AC, Scapulatempo-Neto C, Maia DC, Evangelista AF, Morini MA, Carvalho AL, et al. Accuracy of microRNAs as markers for the detection of neck lymph node metastases in patients with head and neck squamous cell carcinoma. BMC Med. 2015;13(1):108. doi:10.1186/s12916-015-0350-3.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Laboratory of Cancer Molecular Biology, Department of Biological Sciences, Federal University of São Paulo, Diadema, Brazil

    Ana Carolina de Carvalho & Danielle Calheiros Campelo Maia

  2. Department of Pathology, Barretos Cancer Hospital, Barretos, Brazil

    Cristovam Scapulatempo-Neto & Mariana Andozia Morini

  3. Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil

    Ana Carolina de Carvalho & Adriane Feijó Evangelista

  4. Department of Head and Neck Surgery, Barretos Cancer Hospital, Barretos, Brazil

    André Lopes Carvalho

  5. Laboratory of Cancer Molecular Biology, Department of Biological Sciences, Federal University of São Paulo, Diadema, Brazil

    André Luiz Vettore

  6. Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore, Singapore

    André Luiz Vettore

  7. Departamento de Cirurgia de Cabeça e Pescoço, Hospital de Câncer de Barretos, Rua Antenor Duarte Villela, 1331, Barretos, SP, 14784-400, Brazil

    André Lopes Carvalho

  8. Laboratório de Biologia Molecular do Câncer, UNIFESP, Rua Pedro de Toledo, 669 - 11° andar, L11B, São Paulo, SP, 04039-032, Brazil

    André Luiz Vettore

Authors
  1. Ana Carolina de Carvalho
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Cristovam Scapulatempo-Neto
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Danielle Calheiros Campelo Maia
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Adriane Feijó Evangelista
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Mariana Andozia Morini
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. André Lopes Carvalho
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. André Luiz Vettore
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to André Lopes Carvalho or André Luiz Vettore.

Additional information

The online version of the original article can be found under doi:10.1186/s12916-015-0350-3.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

de Carvalho, A.C., Scapulatempo-Neto, C., Maia, D.C.C. et al. Erratum: Accuracy of microRNAs as markers for the detection of neck lymph node metastases in patients with head and neck squamous cell carcinoma. BMC Med 13, 155 (2015). https://doi.org/10.1186/s12916-015-0406-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12916-015-0406-4

BMC Medicine

ISSN: 1741-7015

Contact us