|
1
|
Aschebrook-Kilfoy B, Ward MH, Sabra MM and
Devesa SS: Thyroid cancer incidence patterns in the United States
by histologic type, 1992–2006. Thyroid. 21:125–134. 2011.
View Article : Google Scholar :
|
|
2
|
Sadowski SM, Köhler BB, Meyer P,
Pusztaszeri M, Robert JH and Triponez F: Treatment of
differentiated thyroid cancer. Rev Med Suisse. 8:1321–1325. 2012.In
French. PubMed/NCBI
|
|
3
|
Kazaure HS, Roman SA and Sosa JA:
Aggressive variants of papillary thyroid cancer: Incidence,
characteristics and predictors of survival among 43,738 patients.
Ann Surg Oncol. 19:1874–1880. 2012. View Article : Google Scholar
|
|
4
|
Liénart F: Thyroid nodule: Benign or
malignant? Rev Med Brux. 33:254–262. 2012.In French.
|
|
5
|
Lew JI, Snyder RA, Sanchez YM and
Solorzano CC: Fine needle aspiration of the thyroid: correlation
with final histopathology in a surgical series of 797 patients. J
Am Coll Surg. 213:188–195. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Knezević-Usaj S, Eri Z, Panjković M, Klem
I, Petrović T, Ivković-Kapicl T, Karapandzić A and Jelić J:
Diagnostic relevance of fine needle aspiration cytology in nodular
thyroid lesions. Vojnosanit Pregl. 69:555–561. 2012.In Serbian.
View Article : Google Scholar
|
|
7
|
American Thyroid Association (ATA)
Guidelines Taskforce on Thyroid Nodules and Differentiated Thyroid
Cancer; Cooper DS, Doherty GM, Haugen BR, Kloos RT, Lee SL, Mandel
SJ, Mazzaferri EL, McIver B, Pacini F, Schlumberger M, et al
Revised American Thyroid Association management guidelines for
patients with thyroid nodules and differentiated thyroid cancer.
Thyroid. 19:1167–1214. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Mehanna R, Murphy M, McCarthy J, O'Leary
G, Tuthill A, Murphy MS and Sheahan P: False negatives in thyroid
cytology: impact of large nodule size and follicular variant of
papillary carcinoma. Laryngoscope. 123:1305–1309. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Duick DS: Overview of molecular biomarkers
for enhancing the management of cytologically indeterminate thyroid
nodules and thyroid cancer. Endocr Pract. 18:611–615. 2012.
View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Prasad NB, Kowalski J, Tsai HL, Talbot K,
Somervell H, Kouniavsky G, Wang Y, Dackiw AP, Westra WH, Clark DP,
et al: Three-gene molecular diagnostic model for thyroid cancer.
Thyroid. 22:275–284. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Alexander EK, Kennedy GC, Baloch ZW, Cibas
ES, Chudova D, Diggans J, Friedman L, Kloos RT, LiVolsi VA, Mandel
SJ, et al: Preoperative diagnosis of benign thyroid nodules with
indeterminate cytology. N Engl J Med. 367:705–715. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Tamez-Pérez HE, Gutiérrez-Hermosillo H,
Forsbach-Sánchez G, Gómez-de Ossio MD, González-González G,
Guzmán-López S, Tamez-Peña AL, Mora-Torres NE and González-Murillo
EA: Nondiagnostic thyroid fine needle aspiration cytology: outcome
in surgical treatment. Rev Invest Clin. 59:180–183. 2007.PubMed/NCBI
|
|
13
|
Giordano TJ, Kuick R, Thomas DG, Misek DE,
Vinco M, Sanders D, Zhu Z, Ciampi R, Roh M, Shedden K, et al:
Molecular classification of papillary thyroid carcinoma: Distinct
BRAF, RAS, and RET/PTC mutation-specific gene expression profiles
discovered by DNA microarray analysis. Oncogene. 24:6646–6656.
2005. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Borup R, Rossing M, Henao R, Yamamoto Y,
Krogdahl A, Godballe C, Winther O, Kiss K, Christensen L, Høgdall E
and Nielsen FC: Molecular signatures of thyroid follicular
neoplasia. Endocr Relat Cancer. 17:691–708. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Issaq HJ, Waybright TJ and Veenstra TD:
Cancer biomarker discovery: opportunities and pitfalls in
analytical methods. Electrophoresis. 32:967–975. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Drucker E and Krapfenbauer K: Pitfalls and
limitations in translation from biomarker discovery to clinical
utility in predictive and personalised medicine. EPMA J. 4:72013.
View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Walsh PS, Wilde JI, Tom EY, Reynolds JD,
Chen DC, Chudova DI, Pagan M, Pankratz DG, Wong M, Veitch J, et al:
Analytical performance verification of a molecular diagnostic for
cytology-indeterminate thyroid nodules. J Clin Endocrinol Metab.
97:E2297–E2306. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Duick DS, Klopper JP, Diggans JC, Friedman
L, Kennedy GC, Lanman RB and McIver B: The impact of benign gene
expression classifier test results on the endocrinologist-patient
decision to operate on patients with thyroid nodules with
indeterminate fine-needle aspiration cytopathology. Thyroid.
22:996–1001. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Ali SZ, Fish SA, Lanman R, Randolph GW and
Sosa JA: Use of the Afirma® gene expression classifier
for preoperative identification of benign thyroid nodules with
indeterminate fine needle aspiration cytopathology. PLoS Curr.
5:52013.
|
|
20
|
Alexander EK, Schorr M, Klopper J, Kim C,
Sipos J, Nabhan F, Parker C, Steward DL, Mandel SJ and Haugen BR:
Multicenter clinical experience with the Afirma gene expression
classifier. J Clin Endocrinol Metab. 99:119–125. 2014. View Article : Google Scholar
|
|
21
|
Ward LS and Kloos RT: Molecular markers in
the diagnosis of thyroid nodules. Arq Bras Endocrinol Metabol.
57:89–97. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Harrell RM and Bimston DN: Surgical
utility of Afirma: effects of high cancer prevalence and oncocytic
cell types in patients with indeterminate thyroid cytology. Endocr
Pract. 20:364–369. 2014. View Article : Google Scholar
|
|
23
|
Vriens D, Adang EM, Netea-Maier RT, Smit
JW, de Wilt JH, Oyen WJ and de Geus-Oei LF: Cost-effectiveness of
FDG-PET/CT for cytologically indeterminate thyroid nodules: a
decision analytic approach. J Clin Endocrinol Metab. 99:3263–3274.
2014. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
McIver B, Castro MR, Morris JC, Bernet V,
Smallridge R, Henry M, Kosok L and Reddi H: An independent study of
a gene expression classifier (Afirma) in the evaluation of
cytologically indeterminate thyroid nodules. J Clin Endocrinol
Metab. 99:4069–4077. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Bustin SA: Absolute quantification of mRNA
using real-time reverse transcription polymerase chain reaction
assays. J Mol Endocrinol. 25:169–193. 2000. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Grate LR: Many accurate
small-discriminatory feature subsets exist in microarray transcript
data: biomarker discovery. BMC Bioinformatics. 6:972005. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Trevino V and Falciani F: GALGO: an R
package for multivariate variable selection using genetic
algorithms. Bioinformatics. 22:1154–1156. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Dabney AR: Classification of microarrays
to nearest centroids. Bioinformatics. 21:4148–4154. 2005.
View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Tomei S, Marchetti I, Zavaglia K, Lessi F,
Apollo A, Aretini P, Di Coscio G, Bevilacqua G and Mazzanti C: A
molecular computational model improves the preoperative diagnosis
of thyroid nodules. BMC Cancer. 12:3962012. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Meng H, Murrelle EL and Li G:
Identification of a small optimal subset of CpG sites as biomarkers
from high-throughput DNA methylation profiles. BMC Bioinformatics.
9:4572008. View Article : Google Scholar
|
|
31
|
Price ND, Trent J, El-Naggar AK, Cogdell
D, Taylor E, Hunt KK, Pollock RE, Hood L, Shmulevich I and Zhang W:
Highly accurate two-gene classifier for differentiating
gastrointestinal stromal tumors and leiomyosarcomas. Proc Natl Acad
Sci USA. 104:3414–3419. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Wang X and Gotoh O: Accurate molecular
classification of cancer using simple rules. BMC Med Genomics.
2:642009. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Fluge Ø, Bruland O, Akslen LA, Lillehaug
JR and Varhaug JE: Gene expression in poorly differentiated
papillary thyroid carcinomas. Thyroid. 16:161–175. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Prazeres H, Torres J, Rodrigues F, Pinto
M, Pastoriza MC, Gomes D, Cameselle-Teijeiro J, Vidal A, Martins
TC, Sobrinho-Simões M and Soares P: Chromosomal, epigenetic and
microRNA-mediated inactivation of LRP1B, a modulator of the
extracellular environment of thyroid cancer cells. Oncogene.
30:1302–1317. 2011. View Article : Google Scholar
|
|
35
|
Kim HS, Kim H, Kim JY, Jeoung NH, Lee IK,
Bong JG and Jung ED: Microarray analysis of papillary thyroid
cancers in Korean. Korean J Intern Med. 25:399–407. 2010.
View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Kenney MC, Chwa M, Atilano SR, Tran A,
Carballo M, Saghizadeh M, Vasiliou V, Adachi W and Brown DJ:
Increased levels of catalase and cathepsin V/L2 but decreased
TIMP-1 in keratoconus corneas: evidence that oxidative stress plays
a role in this disorder. Invest Ophthalmol Vis Sci. 46:823–832.
2005. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Hawthorn L, Stein L, Varma R, Wiseman S,
Loree T and Tan D: TIMP1 and SERPIN-A overexpression and TFF3 and
CRABP1 underexpression as biomarkers for papillary thyroid
carcinoma. Head Neck. 26:1069–1083. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Kebebew E, Peng M, Reiff E, Duh QY, Clark
OH and McMillan A: Diagnostic and prognostic value of
angiogenesis-modulating genes in malignant thyroid neoplasms.
Surgery. 138:1102–1110. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Fu M, Wang C, Li Z, Sakamaki T and Pestell
RG: Minireview: Cyclin D1: normal and abnormal functions.
Endocrinology. 145:5439–5447. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Seybt TP, Ramalingam P, Huang J, Looney SW
and Reid MD: Cyclin D1 expression in benign and differentiated
malignant tumors of the thyroid gland: diagnostic and biologic
implications. Appl Immunohistochem Mol Morphol. 20:124–130. 2012.
View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Cagnoni G and Tamagnone L: Semaphorin
receptors meet receptor tyrosine kinases on the way of tumor
progression. Oncogene. 33:4795–4802. 2014. View Article : Google Scholar
|
|
42
|
Kigel B, Varshavsky A, Kessler O and
Neufeld G: Successful inhibition of tumor development by specific
class-3 semaphorins is associated with expression of appropriate
semaphorin receptors by tumor cells. PLoS One. 3:e32872008.
View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Vriens MR, Moses W, Weng J, Peng M,
Griffin A, Bleyer A, Pollock BH, Indelicato DJ, Hwang J and Kebebew
E: Clinical and molecular features of papillary thyroid cancer in
adolescents and young adults. Cancer. 117:259–267. 2011. View Article : Google Scholar
|
|
44
|
Nillni EA, Xie W, Mulcahy L, Sanchez VC
and Wetsel WC: Deficiencies in prothyrotropin-releasing hormone
processing and abnormalities in thermoregulation in Cpefat/fat
mice. J Biol Chem. 277:48587–48595. 2002. View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Murthy SR, Pacak K and Loh YP:
Carboxypeptidase E: elevated expression correlated with tumor
growth and metastasis in pheochromocytomas and other cancers. Cell
Mol Neurobiol. 30:1377–1381. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Liguori L, Andolfo I, de Antonellis P,
Aglio V, di Dato V, Marino N, Orlotti NI, De Martino D, Capasso M,
Petrosino G, et al: The metallophosphodiesterase Mpped2 impairs
tumorigenesis in neuroblastoma. Cell Cycle. 11:569–581. 2012.
View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Sharma MK, Watson MA, Lyman M, Perry A,
Aldape KD, Deák F and Gutmann DH: Matrilin-2 expression
distinguishes clinically relevant subsets of pilocytic astrocytoma.
Neurology. 66:127–130. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Long W, Foulds CE, Qin J, Liu J, Ding C,
Lonard DM, Solis LM, Wistuba II, Qin J, Tsai SY, et al: ERK3
signals through SRC-3 coactivator to promote human lung cancer cell
invasion. J Clin Invest. 122:1869–1880. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
49
|
Medici M, Porcu E, Pistis G, Teumer A,
Brown SJ, Jensen RA, Rawal R, Roef GL, Plantinga TS, Vermeulen SH,
et al: Identification of novel genetic Loci associated with thyroid
peroxidase antibodies and clinical thyroid disease. PLoS Genet.
10:e10041232014. View Article : Google Scholar : PubMed/NCBI
|
|
50
|
Yang JJ, Cheng C, Devidas M, Cao X,
Campana D, Yang W, Fan Y, Neale G, Cox N, Scheet P, et al:
Genome-wide association study identifies germline polymorphisms
associated with relapse of childhood acute lymphoblastic leukemia.
Blood. 120:4197–4204. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
51
|
Tomás G, Tarabichi M, Gacquer D, Hébrant
A, Dom G, Dumont JE, Keutgen X, Fahey TJ III, Maenhaut C and
Detours V: A general method to derive robust organ-specific gene
expression-based differentiation indices: application to thyroid
cancer diagnostic. Oncogene. 31:4490–4498. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
52
|
Dom G, Tarabichi M, Unger K, Thomas G,
Oczko-Wojciechowska M, Bogdanova T, Jarzab B, Dumont JE, Detours V
and Maenhaut C: A gene expression signature distinguishes normal
tissues of sporadic and radiation-induced papillary thyroid
carcinomas. Br J Cancer. 107:994–1000. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
53
|
Treviño Alvarado VM and Falciani F:
Edinburgh DTo and Mexico CNdCyTC: Identifying the molecular
components that matter: a statistical modelling approach to linking
functional genomics data to cell physiology. PhD thesis. School of
Biosciences, University of Birmingham; England: 2007
|
|
54
|
Anglani R, Creanza TM, Liuzzi VC, Piepoli
A, Panza A, Andriulli A and Ancona N: Loss of connectivity in
cancer co-expression networks. PLoS One. 9:e870752014. View Article : Google Scholar : PubMed/NCBI
|
|
55
|
Prasad NB, Somervell H, Tufano RP, Dackiw
AP, Marohn MR, Califano JA, Wang Y, Westra WH, Clark DP, Umbricht
CB, et al: Identification of genes differentially expressed in
benign versus malignant thyroid tumors. Clin Cancer Res.
14:3327–3337. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
56
|
Tibshirani R, Hastie T, Narasimhan B and
Chu G: Diagnosis of multiple cancer types by shrunken centroids of
gene expression. Proc Natl Acad Sci USA. 99:6567–6572. 2002.
View Article : Google Scholar : PubMed/NCBI
|
|
57
|
Guyon I, Weston J, Barnhill S and Vapnik
V: Gene selection for cancer classification using support vector
machines. Mach Learn. 46:389–422. 2002. View Article : Google Scholar
|
