-
Je něco špatně v tomto záznamu ?
Triple marker composed of p16, CD56, and TTF1 shows higher sensitivity than INSM1 for diagnosis of pulmonary small cell carcinoma: proposal for a rational immunohistochemical algorithm for diagnosis of small cell carcinoma in small biopsy and cytology specimens
M. Švajdler, R. Mezencev, B. Šašková, O. Ondič, P. Mukenšnábl, M. Michal,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články
- MeSH
- algoritmy MeSH
- antigen CD56 metabolismus MeSH
- biopsie MeSH
- DNA vazebné proteiny metabolismus MeSH
- dospělí MeSH
- imunohistochemie MeSH
- inhibitor p16 cyklin-dependentní kinasy metabolismus MeSH
- lidé středního věku MeSH
- lidé MeSH
- malobuněčný karcinom plic diagnóza metabolismus patologie MeSH
- nádorové biomarkery metabolismus MeSH
- nádory plic diagnóza metabolismus patologie MeSH
- represorové proteiny metabolismus MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- senzitivita a specificita MeSH
- transkripční faktory metabolismus MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
Pulmonary small cell carcinoma (SCLC) can be usually diagnosed based on the morphological evaluation of routine histological or cytological preparations. However, immunohistochemistry may be also necessary in problematic cases. Insulinoma-associated 1 (INSM1) has recently been reported as a highly sensitive and specific marker that displays positivity in ~90%-100% of poorly differentiated pulmonary neuroendocrine tumors. We compared diagnostic performance of INSM1 and previously reported composite marker CD56 + p16 + thyroid transcription factor-1 (TTF1) in the diagnosis of SCLC in small biopsy specimens and cytoblocks. The composite marker CD56 + p16 + TTF1 correctly classified 100% of SCLC cases, and its sensitivity was significantly higher than the sensitivity of INSM1. Among 100 SCLC cases, CD56, TTF1, and p16 each individually classified more specimens correctly than INSM1 (CD56: 84%, TTF1: 89%, p16: 95%, INSM1: 81%); the difference was statistically significant only for p16. INSM1 showed the lowest classification agreement between paired biopsy and cytoblock specimens (κ = 0.182), whereas CD56 and p16 displayed perfect agreement (κ = 1) and TTF1 showed moderate agreement (κ = 0.4). Although INSM1 is reportedly the most specific marker of SCLC, its sensitivity is not superior to p16 or composite marker CD56 + TTF1 + p16. Based on this study, we propose the following algorithm, which, in the appropriate clinical and histological context, may be useful in establishing the correct diagnosis of SCLC: First, INSM1 detection is performed, and if the result is negative, CD56 is added, followed successively by p16 and TTF1 if all previously applied markers are negative. This approach should detect most, if not all, SCLC cases, while successively trading specificity for sensitivity.
Bioptická laboratoř s r o 326 00 Pilsen Czech Republic
School of Biological Sciences Georgia Institute of Technology North Ave Atlanta GA 30332 USA
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc19045160
- 003
- CZ-PrNML
- 005
- 20200113081817.0
- 007
- ta
- 008
- 200109s2019 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1016/j.humpath.2018.10.016 $2 doi
- 035 __
- $a (PubMed)30385371
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Švajdler, Marián $u Šikl's Department of Pathology, Charles University in Prague, The Faculty of Medicine and Faculty Hospital in Pilsen, 304 60 Pilsen, Czech Republic; Bioptická laboratoř s.r.o., 326 00 Pilsen, Czech Republic. Electronic address: svajdler@yahoo.com.
- 245 10
- $a Triple marker composed of p16, CD56, and TTF1 shows higher sensitivity than INSM1 for diagnosis of pulmonary small cell carcinoma: proposal for a rational immunohistochemical algorithm for diagnosis of small cell carcinoma in small biopsy and cytology specimens / $c M. Švajdler, R. Mezencev, B. Šašková, O. Ondič, P. Mukenšnábl, M. Michal,
- 520 9_
- $a Pulmonary small cell carcinoma (SCLC) can be usually diagnosed based on the morphological evaluation of routine histological or cytological preparations. However, immunohistochemistry may be also necessary in problematic cases. Insulinoma-associated 1 (INSM1) has recently been reported as a highly sensitive and specific marker that displays positivity in ~90%-100% of poorly differentiated pulmonary neuroendocrine tumors. We compared diagnostic performance of INSM1 and previously reported composite marker CD56 + p16 + thyroid transcription factor-1 (TTF1) in the diagnosis of SCLC in small biopsy specimens and cytoblocks. The composite marker CD56 + p16 + TTF1 correctly classified 100% of SCLC cases, and its sensitivity was significantly higher than the sensitivity of INSM1. Among 100 SCLC cases, CD56, TTF1, and p16 each individually classified more specimens correctly than INSM1 (CD56: 84%, TTF1: 89%, p16: 95%, INSM1: 81%); the difference was statistically significant only for p16. INSM1 showed the lowest classification agreement between paired biopsy and cytoblock specimens (κ = 0.182), whereas CD56 and p16 displayed perfect agreement (κ = 1) and TTF1 showed moderate agreement (κ = 0.4). Although INSM1 is reportedly the most specific marker of SCLC, its sensitivity is not superior to p16 or composite marker CD56 + TTF1 + p16. Based on this study, we propose the following algorithm, which, in the appropriate clinical and histological context, may be useful in establishing the correct diagnosis of SCLC: First, INSM1 detection is performed, and if the result is negative, CD56 is added, followed successively by p16 and TTF1 if all previously applied markers are negative. This approach should detect most, if not all, SCLC cases, while successively trading specificity for sensitivity.
- 650 _2
- $a dospělí $7 D000328
- 650 _2
- $a senioři $7 D000368
- 650 _2
- $a senioři nad 80 let $7 D000369
- 650 _2
- $a algoritmy $7 D000465
- 650 _2
- $a nádorové biomarkery $x metabolismus $7 D014408
- 650 _2
- $a biopsie $7 D001706
- 650 _2
- $a antigen CD56 $x metabolismus $7 D019002
- 650 _2
- $a inhibitor p16 cyklin-dependentní kinasy $x metabolismus $7 D019941
- 650 _2
- $a DNA vazebné proteiny $x metabolismus $7 D004268
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a imunohistochemie $7 D007150
- 650 _2
- $a nádory plic $x diagnóza $x metabolismus $x patologie $7 D008175
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a lidé středního věku $7 D008875
- 650 _2
- $a represorové proteiny $x metabolismus $7 D012097
- 650 _2
- $a senzitivita a specificita $7 D012680
- 650 _2
- $a malobuněčný karcinom plic $x diagnóza $x metabolismus $x patologie $7 D055752
- 650 _2
- $a transkripční faktory $x metabolismus $7 D014157
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Mezencev, Roman $u School of Biological Sciences, Georgia Institute of Technology, North Ave, Atlanta, GA 30332, USA.
- 700 1_
- $a Šašková, Bohuslava $u Šikl's Department of Pathology, Charles University in Prague, The Faculty of Medicine and Faculty Hospital in Pilsen, 304 60 Pilsen, Czech Republic; Bioptická laboratoř s.r.o., 326 00 Pilsen, Czech Republic.
- 700 1_
- $a Ondič, Ondrej $u Šikl's Department of Pathology, Charles University in Prague, The Faculty of Medicine and Faculty Hospital in Pilsen, 304 60 Pilsen, Czech Republic; Bioptická laboratoř s.r.o., 326 00 Pilsen, Czech Republic.
- 700 1_
- $a Mukenšnábl, Petr $u Šikl's Department of Pathology, Charles University in Prague, The Faculty of Medicine and Faculty Hospital in Pilsen, 304 60 Pilsen, Czech Republic.
- 700 1_
- $a Michal, Michal $u Šikl's Department of Pathology, Charles University in Prague, The Faculty of Medicine and Faculty Hospital in Pilsen, 304 60 Pilsen, Czech Republic; Bioptická laboratoř s.r.o., 326 00 Pilsen, Czech Republic.
- 773 0_
- $w MED00002080 $t Human pathology $x 1532-8392 $g Roč. 85, č. - (2019), s. 58-64
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/30385371 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20200109 $b ABA008
- 991 __
- $a 20200113082149 $b ABA008
- 999 __
- $a ok $b bmc $g 1483429 $s 1083833
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2019 $b 85 $c - $d 58-64 $e 20181030 $i 1532-8392 $m Human pathology $n Hum Pathol $x MED00002080
- LZP __
- $a Pubmed-20200109