[논문]Cyclic Peptide Mimotopes for the Detection of Serum Anti–ATIC Autoantibody Biomarker in Hepato-Cellular Carcinoma

Heo, Chang-Kyu; Hwang, Hai-Min; Lim, Won-Hee; Lee, Hye-Jung; Yoo, Jong-Shin; Lim, Kook-Jin; Cho, Eun-Wie

doi:10.3390/ijms21249718

[해외논문] Cyclic Peptide Mimotopes for the Detection of Serum Anti–ATIC Autoantibody Biomarker in Hepato-Cellular Carcinoma 원문보기

International journal of molecular sciences, v.21 no.24, 2020년, pp.9718 -

Heo, Chang-Kyu (Rare Disease Research Center, Korea Research Institute of Bioscience and Biotechnology, 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Korea) , Hwang, Hai-Min (ckheo40@kribb.re.kr (C.-K.H.)) , Lim, Won-Hee (purity-32@hanmail.net (H.-M.H.)) , Lee, Hye-Jung (wonhee@kribb.re.kr (W.-H.L.)) , Yoo, Jong-Shin (Rare Disease Research Center, Korea Research Institute of Bioscience and Biotechnology, 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Korea) , Lim, Kook-Jin (ckheo40@kribb.re.kr (C.-K.H.)) , Cho, Eun-Wie (purity-32@hanmail.net (H.-M.H.))

Abstract ▼ AI-Helper

Tumor-associated (TA) autoantibodies have been identified at the early tumor stage before developing clinical symptoms, which holds hope for early cancer diagnosis. We identified a TA autoantibody from HBx-transgenic (HBx-tg) hepatocellular carcinoma (HCC) model mouse, characterized its target antigen, and examined its relationship to human HCC. The mimotopes corresponding to the antigenic epitope of TA autoantibody were screened from a random cyclic peptide library and used for the detection of serum TA autoantibody. The target antigen of the TA autoantibody was identified as an oncogenic bi-functional purine biosynthesis protein, ATIC. It was upregulated in liver cancer tissues of HBx-tg mouse as well as human HCC tissues. Over-expressed ATIC was also secreted extracellularly via the cancer-derived exosomes, which might cause auto-immune responses. The cyclic peptide mimotope with a high affinity to anti-ATIC autoantibody, CLPSWFHRC, distinguishes between serum samples from HCC patients and healthy subjects with 70.83% sensitivity, 90.68% specificity (AUC = 0.87). However, the recombinant human ATIC protein showed a low affinity to anti-ATIC autoantibody, which may be incompatible as a capture antigen for serum TA autoantibody. This study indicates that anti-ATIC autoantibody can be a potential HCC-associated serum biomarker and suggests that autoantibody biomarker’s efficiency can be improved by using antigenic mimicry to native antigens present in vivo.

Keyword

참고문헌 (40)

1. Bray F. Ferlay J. Soerjomataram I. Siegel R.L. Torre L.A. Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries CA Cancer J. Clin. 2018 68 394 424 10.3322/caac.21492 30207593

상세보기
2. United Nations Development Programme Human Development Report 2016: Human Development for Everyone United Nations Development Programme New York, NY, USA 2016
3. Zaenker P. Gray E.S. Ziman M.R. Autoantibody Production in Cancer―The Humoral Immune Response toward Autologous Antigens in Cancer Patients Autoimmun. Rev. 2016 15 477 483 10.1016/j.autrev.2016.01.017 26827909

상세보기
4. Rauf F. Anderson K.S. LaBaer J. Autoantibodies in early detection of breast cancer Cancer Epidemiol. Biom. Prev. 2020 29 2475 2485 10.1158/1055-9965.EPI-20-0331 32994341

상세보기
5. Xu L. Lee J.R. Hao S. Ling X.B. Brooks J.D. Wang S.X. Gambhir S.S. Improved detection of prostate cancer using a magneto-nanosensor assay for serum circulating autoantibodies PLoS ONE 2019 14 e0221051 31404106

상세보기
6. Wang X. Yu J. Sreekumar A. Varambally S. Shen R. Giacherio D. Mehra R. Montie J.E. Pienta K.J. Sanda M.G. Autoantibody signatures in prostate cancer N. Engl. J. Med. 2005 353 1224 1235 10.1056/NEJMoa051931 16177248

상세보기
7. Qin J. Zeng N. Yang T. Wan C. Chen L. Shen Y. Wen F. Diagnostic Value of Autoantibodies in Lung Cancer: A Systematic Review and Meta-Analysis Cell Physiol. Biochem. 2018 51 2631 2646 10.1159/000495935 30562746

상세보기
8. Wang H. Li X. Zhou D. Huang J. Autoantibodies as biomarkers for colorectal cancer: A systematic review, meta-analysis, and bioinformatics analysis Int. J. Biol. Markers 2019 34 334 347 10.1177/1724600819880906 31588830

상세보기
9. Elias K.M. Guo J. Bast R.C. Jr. Early Detection of Ovarian Cancer Hematol. Oncol. Clin. N. Am. 2018 32 903 914 10.1016/j.hoc.2018.07.003

상세보기
10. Fortner R.T. Damms-Machado A. Kaaks R. Systematic review: Tumor-associated antigen autoantibodies and ovarian cancer early detection Gynecol. Oncol. 2017 147 465 480 10.1016/j.ygyno.2017.07.138 28800944

상세보기
11. Koziol J.A. Imai H. Dai L. Zhang J. Tan E.M. Early detection of hepatocellular carcinoma using autoantibody profiles from a panel of tumor-associated antigens Cancer Immunol. Immunother. 2018 67 835 841 10.1007/s00262-018-2135-y 29497780

상세보기
12. Nunez C. Blood-based protein biomarkers in breast cancer Clin. Chim. Acta 2019 490 113 127 10.1016/j.cca.2018.12.028 30597138

상세보기
13. Hanash S.M. Ostrin E.J. Fahrmann J.F. Blood based biomarkers beyond genomics for lung cancer screening Transl. Lung Cancer Res. 2018 7 327 335 10.21037/tlcr.2018.05.13 30050770

상세보기
14. Kalnia Z. Meistere I. Kikuste I. Tolmanis I. Zayakin P. Lin A. Emerging blood-based biomarkers for detection of gastric cancer World J. Gastroenterol. 2015 21 11636 11653 26556992

상세보기
15. Ludwig N. Whiteside T.L. Reichert T.E. Challenges in Exosome Isolation and Analysis in Health and Disease Int. J. Mol. Sci. 2019 20 4684 10.3390/ijms20194684 31546622

상세보기
16. Macdonald I.K. Parsy-Kowalska C.B. Chapman C.J. Autoantibodies: Opportunities for Early Cancer Detection Trends Cancer 2017 3 198 213 28718432
17. Royahem J. Conrad K. Frey M. Melhom J. Frank K.H. Autoantibodies Predictive Parameters of Tumor Development Pathogenic and Diagnostic Relevance of Autoantibodies Konrad K. Humboldt R.L. Meurer M. Shoenfeld Y. Tan E.M. Pabst Berlin, Germany 1988 412 414
18. Kobayashi M. Katayama H. Fahrmann J.F. Hanash S.M. Development of autoantibody signatures for common cancers Semin Immunol. 2020 47 101388 10.1016/j.smim.2020.101388 31924500

상세보기
19. Heo C.K. Hwang H.M. Lee H.J. Kwak S.S. Yoo J.S. Yu D.Y. Lim K.J. Lee S. Cho E.W. Serum anti-EIF3A autoantibody as a potential diagnostic marker for hepatocellular carcinoma Sci. Rep. 2019 9 11059 10.1038/s41598-019-47365-4 31363116

상세보기
20. Yu D.Y. Moon H.B. Son J.K. Jeong S. Yu S.L. Yoon H. Han Y.M. Lee C.S. Park J.S. Lee C.H. Incidence of hepatocellular carcinoma in transgenic mice expressing the hepatitis B virus X-protein J. Hepatol. 1999 31 123 132 10.1016/S0168-8278(99)80172-X 10424292

상세보기
21. Wang A.G. Moon H.B. Lee M.R. Hwang C.Y. Kwon K.S. Yu S.L. Kim Y.S. Kim M. Kim J.M. Kim S.K. Gender-dependent hepatic alterations in H-ras12V transgenic mice J. Hepatol. 2005 43 836 844 10.1016/j.jhep.2005.04.012 16087271

상세보기
22. Hwang H.M. Heo C.K. Lee H.J. Kwak S.S. Lim W.H. Yoo J.S. Yu D.Y. Lim K.J. Kim J.Y. Cho E.W. Identification of anti-SF3B1 autoantibody as a diagnostic marker in patients with hepatocellular carcinoma J. Transl. Med. 2018 16 177 29954402

상세보기
23. Heo C.K. Hwang H.M. Ruem A. Yu D.Y. Lee J.Y. Yoo J.S. Kim I.G. Yoo H.S. Oh S. Ko J.H. Identification of a mimotope for circulating anti-cytokeratin 8/18 antibody and its usage for the diagnosis of breast cancer Int. J. Oncol. 2013 42 65 74 10.3892/ijo.2012.1679 23128437

상세보기
24. Heo C.K. Woo M.K. Yu D.Y. Lee J.Y. Yoo J.S. Yoo H.S. Ko J.H. Kim J.M. Choi J.Y. Kim I.G. Identification of autoantibody against fatty acid synthase in hepatocellular carcinoma mouse model and its application to diagnosis of HCC Int. J. Oncol. 2010 36 1453 1459 20428769

상세보기
25. Capello M. Vykoukal J.V. Katayama H. Bantis L.E. Wang H. Kundnani D.L. Aguilar-Bonavides C. Aguilar M. Tripathi S.C. Dhillon D.S. Exosomes harbor B cell targets in pancreatic adenocarcinoma and exert decoy function against complement-mediated cytotoxicity Nat. Commun. 2019 10 254 10.1038/s41467-018-08109-6 30651550

상세보기
26. Ghosh D. Lippert D. Krokhin O. Cortens J.P. Wilkins J.A. Defining the membrane proteome of NK cells J. Mass Spectrom. 2010 45 1 25 10.1002/jms.1696 19946888

상세보기
27. Welton J.L. Khanna S. Giles P.J. Brennan P. Brewis I.A. Staffurth J. Mason M.D. Clayton A. Proteomics analysis of bladder cancer exosomes Mol. Cell Proteom. 2010 9 1324 1338 10.1074/mcp.M000063-MCP201

상세보기
28. Liang B. Peng P. Chen S. Li L. Zhang M. Cao D. Yang J. Li H. Gui T. Li X. Characterization and proteomic analysis of ovarian cancer-derived exosomes J. Proteom. 2013 80 171 182 10.1016/j.jprot.2012.12.029

상세보기
29. Lazar I. Clement E. Ducoux-Petit M. Denat L. Soldan V. Dauvillier S. Balor S. Burlet-Schiltz O. Larue L. Muller C. Proteome characterization of melanoma exosomes reveals a specific signature for metastatic cell lines Pigm. Cell Melan. Res. 2015 28 464 475 10.1111/pcmr.12380

상세보기
30. Riedinger C. Mendler M. Schlotterer A. Fleming T. Okun J. Hammes H.P. Herzig S. Nawroth P.P. High-glucose toxicity is mediated by AICAR-transformylase/IMP cyclohydrolase and mitigated by AMP-activated protein kinase in Caenorhabditis elegans J. Biol. Chem. 2018 293 4845 4859 10.1074/jbc.M117.805879 29414769

상세보기
31. Torres M.J. Turell L. Botti H. Antmann L. Carballal S. Ferrer-Sueta G. Radi R. Alvarez B. Modulation of the reactivity of the thiol of human serum albumin and its sulfenic derivative by fatty acids Arch. Biochem. Biophys. 2012 521 102 110 10.1016/j.abb.2012.03.011 22450170

상세보기
32. Yin J. Ren W. Huang X. Deng J. Li T. Yin Y. Potential Mechanisms Connecting Purine Metabolism and Cancer Therapy Front. Immunol. 2018 9 1697 10.3389/fimmu.2018.01697 30105018

상세보기
33. Vergis J.M. Beardsley G.P. Catalytic mechanism of the cyclohydrolase activity of human aminoimidazole carboxamide ribonucleotide formyltransferase/inosine monophosphate cyclohydrolase Biochemistry 2004 43 1184 1192 10.1021/bi035139b 14756554

상세보기
34. Tureci O. Usener D. Schneider S. Sahin U. Identification of tumor-associated autoantigens with SEREX Methods Mol. Med. 2005 109 137 154 15585919

상세보기
35. He Y. Wu Y. Mou Z. Li W. Zou L. Fu T. Zhang A. Xiang D. Xiao H. Wang X. Proteomics-based identification of HSP60 as a tumor-associated antigen in colorectal cancer Proteom. Clin. Appl. 2007 1 336 342 10.1002/prca.200600718 21136683

상세보기
36. Hardouin J. Lasserre J.P. Sylvius L. Joubert-Caron R. Caron M. Cancer immunomics: From serological proteome analysis to multiple affinity protein profiling Ann. N. Y. Acad. Sci. 2007 1107 223 230 10.1196/annals.1381.024 17804550

상세보기
37. Raposo G. Stoorvogel W. Extracellular vesicles: Exosomes, microvesicles, and friends J. Cell Biol. 2013 200 373 383 10.1083/jcb.201211138 23420871

상세보기
38. van Niel G. D’Angelo G. Raposo G. Shedding light on the cell biology of extracellular vesicles Nat. Rev. Mol. Cell Biol. 2018 19 213 228 10.1038/nrm.2017.125 29339798

상세보기
39. Minciacchi V.R. Freeman M.R. Di Vizio D. Extracellular vesicles in cancer: Exosomes, microvesicles and the emerging role of large oncosomes Semin. Cell Dev. Biol. 2015 40 41 51 10.1016/j.semcdb.2015.02.010 25721812

상세보기
40. Livshits M.A. Khomyakova E. Evtushenko E.G. Lazarev V.N. Kulemin N.A. Semina S.E. Generozov E.V. Govorun V.M. Isolation of exosomes by differential centrifugation: Theoretical analysis of a commonly used protocol Sci. Rep. 2015 5 17319 10.1038/srep17319 26616523

상세보기

LOADING...

활용도 분석정보

상세보기

다운로드

내보내기

활용도 Top5 논문

해당 논문의 주제분야에서 활용도가 높은 상위 5개 콘텐츠를 보여줍니다.
더보기 버튼을 클릭하시면 더 많은 관련자료를 살펴볼 수 있습니다.

표제어: PCR

동의어: Packet Collision Rate

용어 설명 출처 목록 (6)

용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증