Detail
Článek
Článek online
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

Multicentre validation of a microRNA-based assay for diagnosing indeterminate thyroid nodules utilising fine needle aspirate smears

G. Lithwick-Yanai, N. Dromi, A. Shtabsky, S. Morgenstern, Y. Strenov, M. Feinmesser, V. Kravtsov, ME. Leon, M. Hajdúch, SZ. Ali, CJ. VandenBussche, X. Zhang, L. Leider-Trejo, A. Zubkov, S. Vorobyov, M. Kushnir, Y. Goren, S. Tabak, E. Kadosh, H....

. 2017 ; 70 (6) : 500-507. [pub] 20161026

Jazyk angličtina Země Anglie, Velká Británie

Typ dokumentu časopisecké články, multicentrická studie, validační studie

Perzistentní odkaz   https://www.medvik.cz/link/bmc17031325
E-zdroje Online Plný text

NLK ProQuest Central od 2000-01-01 do Před 6 měsíci
Health & Medicine (ProQuest) od 2000-01-01 do Před 6 měsíci

Odkazy

PubMed 27798083
DOI 10.1136/jclinpath-2016-204089
Knihovny.cz E-zdroje

AIMS: The distinction between benign and malignant thyroid nodules has important therapeutic implications. Our objective was to develop an assay that could classify indeterminate thyroid nodules as benign or suspicious, using routinely prepared fine needle aspirate (FNA) cytology smears. METHODS: A training set of 375 FNA smears was used to develop the microRNA-based assay, which was validated using a blinded, multicentre, retrospective cohort of 201 smears. Final diagnosis of the validation samples was determined based on corresponding surgical specimens, reviewed by the contributing institute pathologist and two independent pathologists. Validation samples were from adult patients (≥18 years) with nodule size >0.5 cm, and a final diagnosis confirmed by at least one of the two blinded, independent pathologists. The developed assay, RosettaGX Reveal, differentiates benign from malignant thyroid nodules, using quantitative RT-PCR. RESULTS: Test performance on the 189 samples that passed quality control: negative predictive value: 91% (95% CI 84% to 96%); sensitivity: 85% (CI 74% to 93%); specificity: 72% (CI 63% to 79%). Performance for cases in which all three reviewing pathologists were in agreement regarding the final diagnosis (n=150): negative predictive value: 99% (CI 94% to 100%); sensitivity: 98% (CI 87% to 100%); specificity: 78% (CI 69% to 85%). CONCLUSIONS: A novel assay utilising microRNA expression in cytology smears was developed. The assay distinguishes benign from malignant thyroid nodules using a single FNA stained smear, and does not require fresh tissue or special collection and shipment conditions. This assay offers a valuable tool for the preoperative classification of thyroid samples with indeterminate cytology.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc17031325
003      
CZ-PrNML
005      
20171101104559.0
007      
ta
008      
171025s2017 enk f 000 0|eng||
009      
AR
024    7_
$a 10.1136/jclinpath-2016-204089 $2 doi
035    __
$a (PubMed)27798083
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a enk
100    1_
$a Lithwick-Yanai, Gila $u Rosetta Genomics Ltd, Rehovot, Israel.
245    10
$a Multicentre validation of a microRNA-based assay for diagnosing indeterminate thyroid nodules utilising fine needle aspirate smears / $c G. Lithwick-Yanai, N. Dromi, A. Shtabsky, S. Morgenstern, Y. Strenov, M. Feinmesser, V. Kravtsov, ME. Leon, M. Hajdúch, SZ. Ali, CJ. VandenBussche, X. Zhang, L. Leider-Trejo, A. Zubkov, S. Vorobyov, M. Kushnir, Y. Goren, S. Tabak, E. Kadosh, H. Benjamin, T. Schnitzer-Perlman, H. Marmor, M. Motin, D. Lebanony, S. Kredo-Russo, H. Mitchell, M. Noller, A. Smith, O. Dattner, K. Ashkenazi, M. Sanden, KA. Berlin, D. Bar, E. Meiri,
520    9_
$a AIMS: The distinction between benign and malignant thyroid nodules has important therapeutic implications. Our objective was to develop an assay that could classify indeterminate thyroid nodules as benign or suspicious, using routinely prepared fine needle aspirate (FNA) cytology smears. METHODS: A training set of 375 FNA smears was used to develop the microRNA-based assay, which was validated using a blinded, multicentre, retrospective cohort of 201 smears. Final diagnosis of the validation samples was determined based on corresponding surgical specimens, reviewed by the contributing institute pathologist and two independent pathologists. Validation samples were from adult patients (≥18 years) with nodule size >0.5 cm, and a final diagnosis confirmed by at least one of the two blinded, independent pathologists. The developed assay, RosettaGX Reveal, differentiates benign from malignant thyroid nodules, using quantitative RT-PCR. RESULTS: Test performance on the 189 samples that passed quality control: negative predictive value: 91% (95% CI 84% to 96%); sensitivity: 85% (CI 74% to 93%); specificity: 72% (CI 63% to 79%). Performance for cases in which all three reviewing pathologists were in agreement regarding the final diagnosis (n=150): negative predictive value: 99% (CI 94% to 100%); sensitivity: 98% (CI 87% to 100%); specificity: 78% (CI 69% to 85%). CONCLUSIONS: A novel assay utilising microRNA expression in cytology smears was developed. The assay distinguishes benign from malignant thyroid nodules using a single FNA stained smear, and does not require fresh tissue or special collection and shipment conditions. This assay offers a valuable tool for the preoperative classification of thyroid samples with indeterminate cytology.
650    _2
$a tenkojehlová biopsie $7 D044963
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a lidé $7 D006801
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a mikro RNA $x metabolismus $7 D035683
650    _2
$a lidé středního věku $7 D008875
650    _2
$a odchylka pozorovatele $7 D015588
650    _2
$a prediktivní hodnota testů $7 D011237
650    _2
$a nádory štítné žlázy $x diagnóza $7 D013964
650    _2
$a uzly štítné žlázy $x diagnóza $7 D016606
655    _2
$a časopisecké články $7 D016428
655    _2
$a multicentrická studie $7 D016448
655    _2
$a validační studie $7 D023361
700    1_
$a Dromi, Nir $u Rosetta Genomics Ltd, Rehovot, Israel.
700    1_
$a Shtabsky, Alexander $u Pathology Institute, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel. The Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
700    1_
$a Morgenstern, Sara $u The Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel. Pathology Institute, Rabin Medical Center, Petach Tikva, Israel.
700    1_
$a Strenov, Yulia $u The Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel. Pathology Institute, Rabin Medical Center, Petach Tikva, Israel.
700    1_
$a Feinmesser, Meora $u The Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel. Pathology Institute, Rabin Medical Center, Petach Tikva, Israel.
700    1_
$a Kravtsov, Vladimir $u The Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel. Pathology Institute, Meir Medical Center, Kfar Saba, Israel.
700    1_
$a Leon, Marino E $u H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
700    1_
$a Hajdúch, Marián $u Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic.
700    1_
$a Ali, Syed Z $u The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. $7 gn_A_00004195
700    1_
$a VandenBussche, Christopher J $u The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
700    1_
$a Zhang, Xinmin $u Temple University Hospital, Philadelphia, Pennsylvania, USA. Cooper University Hospital, Cooper Medical School of Rowan University at Camden, New Jersey, USA.
700    1_
$a Leider-Trejo, Leonor $u Pathology Institute, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel. The Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
700    1_
$a Zubkov, Asia $u Pathology Institute, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel.
700    1_
$a Vorobyov, Sergey $u National Centre of Clinical and Morphological Diagnostics, St Petersburg, Russia.
700    1_
$a Kushnir, Michal $u Rosetta Genomics Ltd, Rehovot, Israel.
700    1_
$a Goren, Yaron $u Rosetta Genomics Ltd, Rehovot, Israel. Geha Mental Health Center, Petach Tikva, Israel.
700    1_
$a Tabak, Sarit $u Rosetta Genomics Ltd, Rehovot, Israel.
700    1_
$a Kadosh, Etti $u Rosetta Genomics Ltd, Rehovot, Israel.
700    1_
$a Benjamin, Hila $u Rosetta Genomics Inc, Philadelphia, Pennsylvania, USA.
700    1_
$a Schnitzer-Perlman, Temima $u Rosetta Genomics Ltd, Rehovot, Israel.
700    1_
$a Marmor, Hagai $u Rosetta Genomics Ltd, Rehovot, Israel.
700    1_
$a Motin, Maria $u Rosetta Genomics Ltd, Rehovot, Israel.
700    1_
$a Lebanony, Danit $u Rosetta Genomics Ltd, Rehovot, Israel.
700    1_
$a Kredo-Russo, Sharon $u Rosetta Genomics Ltd, Rehovot, Israel.
700    1_
$a Mitchell, Heather $u Rosetta Genomics Inc, Philadelphia, Pennsylvania, USA.
700    1_
$a Noller, Melissa $u Rosetta Genomics Inc, Philadelphia, Pennsylvania, USA.
700    1_
$a Smith, Alexis $u Rosetta Genomics Inc, Philadelphia, Pennsylvania, USA.
700    1_
$a Dattner, Olivia $u Rosetta Genomics Inc, Philadelphia, Pennsylvania, USA.
700    1_
$a Ashkenazi, Karin $u Rosetta Genomics Inc, Philadelphia, Pennsylvania, USA. $7 gn_A_00009297
700    1_
$a Sanden, Mats $u Rosetta Genomics Inc, Philadelphia, Pennsylvania, USA.
700    1_
$a Berlin, Kenneth A $u Rosetta Genomics Inc, Philadelphia, Pennsylvania, USA.
700    1_
$a Bar, Dganit $u Rosetta Genomics Ltd, Rehovot, Israel.
700    1_
$a Meiri, Eti $u Rosetta Genomics Ltd, Rehovot, Israel.
773    0_
$w MED00002597 $t Journal of clinical pathology $x 1472-4146 $g Roč. 70, č. 6 (2017), s. 500-507
856    41
$u https://pubmed.ncbi.nlm.nih.gov/27798083 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20171025 $b ABA008
991    __
$a 20171101104650 $b ABA008
999    __
$a ok $b bmc $g 1254918 $s 992352
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2017 $b 70 $c 6 $d 500-507 $e 20161026 $i 1472-4146 $m Journal of clinical pathology $n J Clin Pathol $x MED00002597
LZP    __
$a Pubmed-20171025
Zpět

Najít záznam

Citační ukazatele

Možnosti archivace