Literature DB >> 26129943

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^1,2, Cristovam Scapulatempo-Neto³, Danielle Calheiros Campelo Maia⁴, Adriane Feijó Evangelista⁵, Mariana Andozia Morini⁶, André Lopes Carvalho^7,8, André Luiz Vettore^9,10,11.

Abstract

Entities: Chemical Disease Gene Species

Year: 2015 PMID： 26129943 PMCID： PMC4487505 DOI： 10.1186/s12916-015-0406-4

Source DB: PubMed Journal: BMC Med ISSN： 1741-7015 Impact factor: 8.775

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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). Sensitivity and specificity values of microRNAs evaluated in discriminating metastatic and non-metastatic lymph nodes in FFPE and FNA biopsies from lymph node samples 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). Sensitivity and specificity values of microRNAs evaluated in discriminating metastatic and non-metastatic lymph nodes in FFPE and FNA biopsies from lymph node samples 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”)

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). Accuracy characteristics of microRNAs in discriminating metastatic and non-metastatic lymph nodes in FFPE and FNA biopsies from lymph node samples 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 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). Accuracy characteristics of microRNAs in discriminating metastatic and non-metastatic lymph nodes in FFPE and FNA biopsies from lymph node samples 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

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
	Cutoff^a	Metastatic^b	Macrometastases	Micrometastases	Isolated tumor cells	Non-metastatic
	Cutoff^a	% (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)

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
	Cutoff^a	Metastatic^b	Macrometastases	Micrometastases	Isolated tumor cells	Non-metastatic
	Cutoff^a	% (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)

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)

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)
microRNA	% (95 % CI)	% (95 % CI)	% (95 % CI)	AUC (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

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)
microRNA	% (95 % CI)	% (95 % CI)	% (95 % CI)	AUC (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

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Journal: BMC Med Date: 2015-05-09 Impact factor: 8.775

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