Indonesian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Chinese Journal of Contemporary Pediatrics 2017-Mar

[A preliminary study of retinoblastoma-related serum tumor markers].

Hanya pengguna terdaftar yang dapat menerjemahkan artikel
Masuk daftar
Tautan disimpan ke clipboard
Zhi-Ping Liu
Ke-Ying Zhou
Li-Li Chen
Zhi-Hui Xiao
Yan-Zhao Chen

Kata kunci

Abstrak

OBJECTIVE

To screen out retinoblastoma (RB)-related serum tumor markers by measuring the levels of serum alpha fetoprotein (AFP), carcino-embryonic antigen (CEA), neuron-specific enolase (NSE), carbohydrate antigen 125 (CA125), carbohydrate antigen 153 (CA153), carbohydrate antigen 199 (CA199), and carbohydrate antigen 724 (CA724) in children with RB.

METHODS

The levels of seven serum tumor markers (AFP, CEA, NSE, CA125, CA153, CA199, and CA724) were determined in 20 children with RB and 20 healthy children (control) using a chemiluminescent immunoassay.

RESULTS

The serum levels and positive rates of NSE, CA153, and CA199 in the RB group were significantly higher than those in the control group (P<0.05). However, there were no significant differences in the levels of AFP, CEA, CA125, and CA724 between the two groups (P>0.05). NSE had the highest sensitivity, but a relatively low specificity for the diagnosis of RB. CA153 and CA199 had a relatively high specificity, but a relatively low sensitivity for the diagnosis of RB.

CONCLUSIONS

The serum levels and positive rates of NSE, CA153, and CA199 are high in children with RB. Combined measurement of these three serum tumor markers may have an important diagnostic value for RB.

Bergabunglah dengan
halaman facebook kami

Database tanaman obat terlengkap yang didukung oleh sains

  • Bekerja dalam 55 bahasa
  • Pengobatan herbal didukung oleh sains
  • Pengenalan herbal melalui gambar
  • Peta GPS interaktif - beri tag herba di lokasi (segera hadir)
  • Baca publikasi ilmiah yang terkait dengan pencarian Anda
  • Cari tanaman obat berdasarkan efeknya
  • Atur minat Anda dan ikuti perkembangan berita, uji klinis, dan paten

Ketikkan gejala atau penyakit dan baca tentang jamu yang mungkin membantu, ketik jamu dan lihat penyakit dan gejala yang digunakan untuk melawannya.
* Semua informasi didasarkan pada penelitian ilmiah yang dipublikasikan

Google Play badgeApp Store badge