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. 2015 Jul 1;13:155. doi: 10.1186/s12916-015-0406-4

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

Ana Carolina de Carvalho 1,3, Cristovam Scapulatempo-Neto 2, Danielle Calheiros Campelo Maia 1, Adriane Feijó Evangelista 3, Mariana Andozia Morini 2, André Lopes Carvalho 4,7,, André Luiz Vettore 5,6,8,
PMCID: PMC4487505  PMID: 26129943

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

microRNA Sensitivity Specificity
Cutoffa Metastaticb Macrometastases Micrometastases Isolated tumor cells Non-metastatic
% (95 % CI) (n) % (95 % CI) (n) % (95 % CI) (n) % (95 % CI) (n) % (95 % CI) (n)
FFPE samples
 miR-200a 5.96 76.0 (54.5-89.8) (19/25) 94.4 (70.6-99.7) (17/18) 40.0 (7.3-82.9) (2/5) 0 (0–80.2) (0/2) 100 (71.7-100) (13/13)
 miR-200c 2.33 88.0 (67.7-96.8) (22/25) 100 (78.1-100) (17/18) 80.0 (29.9-98.9) (4/5) 0 (0–80.2) (0/2) 100 (71.7-100)) (13/13)
 miR-203 1.96 100 (83.4-100) (25/25) 100 (78.1-100) (17/18) 100 (46.3-100) (5/5) 100 (19.8-100) (2/2) 100 (71.7-100) (13/13)
 miR-205 1.54 100 (83.4-100) (25/25) 100 (78.1-100) (17/18) 100 (46.3-100) (5/5) 100 (19.8-100) (2/2) 100 (71.7-100) (13/13)
FNA samples classified by cytology
 miR-203 10 100 (91.5-100) (42/42) 100 (91.5-100) (42/42) N/A N/A 100 (94.9-100) (71/71)
 miR-205 10 100 (91.5-100) (42/42) 100 (91.5-100) (42/42) N/A N/A 100 (94.9-100) (71/71)
FNA samples classified by histology
 miR-203 10 92.9 (80.5-98.4) (68/71) 100 (89.3-100) (68/68) 0 (0) (0/2) 0 (0) (0/1) 100 (94.9-100) (71/71)
 miR-205 10 92.9 (80.5-98.4) (68/71) 100 (89.3-100) (68/68) 0 (0) (0/2) 0 (0) (0/1) 100 (94.9-100) (71/71)

FFPE, formalin-fixed paraffin embedded; FNA, fine-needle aspiration; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the ROC curve; CI, confidence interval; N/A, not applicable, FFPE, formalin-fixed paraffin embedded; FNA, fine-needle aspiration; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the ROC curve; CI, confidence interval

athe cutoff values for FFPE samples were determined according to the Youden index (value in which the difference between sensitivity and 1-specificity is maximum) obtained from the ROC curves

bthe "metastatic" group comprises all cases with positive lymph nodes (macrometastases, micrometastases or isolated tumor cells)

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

microRNA Sensitivity Specificity
Cutoffa Metastaticb Macrometastases Micrometastases Isolated tumor cells Non-metastatic
% (95 % CI) (n) % (95 % CI) (n) % (95 % CI) (n) % (95 % CI) (n) % (95 % CI) (n)
FFPE samples
 miR-200a 5.96 76.0 (54.5-89.8) (19/25) 94.4 (70.6-99.7) (17/18) 40.0 (7.3-82.9) (2/5) 0 (0–80.2) (0/2) 100 (71.7-100) (13/13)
 miR-200c 2.33 88.0 (67.7-96.8) (22/25) 100 (78.1-100) (18/18) 80.0 (29.9-98.9) (4/5) 0 (0–80.2) (0/2) 100 (71.7-100)) (13/13)
 miR-203 1.96 100 (83.4-100) (25/25) 100 (78.1-100) (18/18) 100 (46.3-100) (5/5) 100 (19.8-100) (2/2) 100 (71.7-100) (13/13)
 miR-205 1.54 100 (83.4-100) (25/25) 100 (78.1-100) (18/18) 100 (46.3-100) (5/5) 100 (19.8-100) (2/2) 100 (71.7-100) (13/13)
FNA samples classified by cytology
 miR-203 10 100 (91.5-100) (42/42) 100 (91.5-100) (42/42) N/A N/A 100 (94.9-100) (71/71)
 miR-205 10 100 (91.5-100) (42/42) 100 (91.5-100) (42/42) N/A N/A 100 (94.9-100) (71/71)
FNA samples classified by histology
 miR-203 10 93.3 (81.7-98.6) (42/45) 100 (91.5-100) (42/42) 0 (0) (0/2) 0 (0) (0/1) 100 (94.7-100) (68/68)
 miR-205 10 93.3 (81.7-98.6) (42/45) 100 (91.5-100) (42/42) 0 (0) (0/2) 0 (0) (0/1) 100 (94.7-100) (68/68)

FFPE, formalin-fixed paraffin embedded; FNA, fine-needle aspiration; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the ROC curve; CI, confidence interval; N/A, not applicable, FFPE, formalin-fixed paraffin embedded; FNA, fine-needle aspiration; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the ROC curve; CI, confidence interval

athe cutoff values for FFPE samples were determined according to the Youden index (value in which the difference between sensitivity and 1-specificity is maximum) obtained from the ROC curves

bthe "metastatic" group comprises all cases with positive lymph nodes (macrometastases, micrometastases or isolated tumor cells)

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

microRNA PPV NPV Accuracy AUC (95 % CI)
% (95 % CI) % (95 % CI) % (95 % CI)
FFPE samples
 miR-200a 100 (82.2-100.0) 68.4 (43.5-87.3) 84.2 (68.1-93.4) 0.92 (0.83-0.99)
 miR-200c 100 (84.4-100.0) 81.2 (54.34-95.73) 92.1 (77.5-97.9) 0.94 (0.85-1.0)
 miR-203 100 (86.2-100) 100 (75.1-100) 100 (88.6-100) 1.0 (0–1.0)
 miR-205 100 (86.2-100) 100 (75.1-100) 100 (88.6-100) 1.0 (0–1.0)
FNA samples classified by cytology
 miR-203 100 (91.5-100) 100 (94.9-100) 100 (96.05-100) 1.0 (0–1.0)
 miR-205 100 (91.5-100) 100 (94.9-100) 100 (96.05-100) 1.0 (0–1.0)
FNA samples classified by histology
 miR-203 100 (90.9-100) 95.9 (88.6-99.1) 97.3 (92.1-99.4) 0.963 (0.921-1.0)
 miR-205 100 (93.2-100) 94.6 (85.1-98.8) 96.7 (93.1-100) 0.966 (0.921-1.0)

FFPE, formalin-fixed paraffin embedded; FNA, fine-needle aspiration; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the ROC curve; CI, confidence interval

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

microRNA PPV NPV Accuracy AUC (95 % CI)
% (95 % CI) % (95 % CI) % (95 % CI)
FFPE samples
 miR-200a 100 (82.2-100.0) 68.4 (43.5-87.3) 84.2 (68.1-93.4) 0.92 (0.83-0.99)
 miR-200c 100 (84.4-100.0) 81.2 (54.34-95.73) 92.1 (77.5-97.9) 0.94 (0.85-1.0)
 miR-203 100 (86.2-100) 100 (75.1-100) 100 (88.6-100) 1.0 (0–1.0)
 miR-205 100 (86.2-100) 100 (75.1-100) 100 (88.6-100) 1.0 (0–1.0)
FNA samples classified by cytology
 miR-203 100 (91.5-100) 100 (94.9-100) 100 (96.05-100) 1.0 (0–1.0)
 miR-205 100 (91.5-100) 100 (94.9-100) 100 (96.05-100) 1.0 (0–1.0)
FNA samples classified by histology
 miR-203 100 (91.5-100) 95.9 (88.6-99.1) 97.3 (92.1-99.4) 0.963 (0.921-1.0)
 miR-205 100 (91.5-100) 95.9 (88.6-99.1) 97.3 (92.1-99.4) 0.966 (0.921-1.0)

FFPE, formalin-fixed paraffin embedded; FNA, fine-needle aspiration; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the ROC curve; CI, confidence interval

Footnotes

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

Contributor Information

Ana Carolina de Carvalho, Email: ca_oak@yahoo.com.br.

Cristovam Scapulatempo-Neto, Email: cristovamscapula@gmail.com.

Danielle Calheiros Campelo Maia, Email: dellymaia@gmail.com.

Adriane Feijó Evangelista, Email: Adriane.feijo@gmail.com.

Mariana Andozia Morini, Email: maremorini@hotmail.com.

André Lopes Carvalho, Email: alopescarvalho@gmail.com.

André Luiz Vettore, Phone: +55 17 3321-6600, Email: andre.vettore@gmail.com.

Reference

  • 1.de Carvalho AC, Scapulatempo-Neto C, Maia DC, Evangelista AF, Morini MA, Carvalho AL, Vettore 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. [DOI] [PMC free article] [PubMed] [Google Scholar]

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