Novel microRNA-based assay demonstrates 92% agreement with diagnosis based on clinicopathologic and management data in a cohort of patients with carcinoma of unknown primary

被引:34
作者
Pentheroudakis, George [1 ,2 ]
Pavlidis, Nicholas [1 ,2 ]
Fountzilas, George [3 ]
Krikelis, Dimitrios [3 ]
Goussia, Anna [2 ,4 ]
Stoyianni, Aikaterini [1 ,2 ]
Sanden, Mats [5 ]
Cyr, Brianna St. [5 ]
Yerushalmi, Noga [6 ]
Benjamin, Hila [6 ]
Meiri, Eti [6 ]
Chajut, Ayelet [6 ]
Rosenwald, Shai [6 ]
Aharonov, Ranit [6 ]
Spector, Yael [6 ]
机构
[1] Univ Ioannina, Sch Med, Dept Med Oncol, GR-45110 Ioannina, Greece
[2] Univ Ioannina, Clin Trial & Appl Res Oncol Grp CARING, GR-45110 Ioannina, Greece
[3] Aristotle Univ Thessaloniki, Papageorgiou Hosp, Dept Med Oncol, GR-54006 Thessaloniki, Greece
[4] Univ Ioannina, Sch Med, Dept Pathol, Loannina, Greece
[5] Rosetta Genomics Inc, Philadelphia, PA 19104 USA
[6] Rosetta Genom Ltd, IL-76706 Rehovot, Israel
来源
MOLECULAR CANCER | 2013年 / 12卷
关键词
MicroRNA; Carcinoma of Unknown Primary (CUP); Tumor-of-origin; Molecular diagnostics; TUMOR-TISSUE; LUNG-CANCER; ORIGIN; IDENTIFY; IMMUNOHISTOCHEMISTRY; CLASSIFICATION; IDENTIFICATION; VALIDATION; PROFILE;
D O I
10.1186/1476-4598-12-57
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Background: Cancer of unknown or uncertain primary is a major diagnostic and clinical challenge, since identifying the tissue-of-origin of metastases is crucial for selecting optimal treatment. MicroRNAs are a family of non-coding, regulatory RNA molecules that are tissue-specific, with a great potential to be excellent biomarkers. Methods: In this study we tested the performance of a microRNA-based assay in formalin-fixed paraffin-embedded samples from 84 CUP patients. Results: The microRNA based assay agreed with the clinical diagnosis at presentation in 70% of patients; it agreed with the clinical diagnosis obtained after patient management, taking into account response and outcome data, in 89% of patients; it agreed with the final clinical diagnosis reached with supplemental immunohistochemical stains in 92% of patients, indicating a 22% improvement in agreement from diagnosis at presentation to the final clinical diagnosis. In 18 patients the assay disagreed with the presentation diagnosis and was in agreement with the final clinical diagnosis, which may have resulted in the administration of more effective chemotherapy. In three out of four discordant cases in which supplemental IHC was performed, the IHC results validated the assay's molecular diagnosis. Conclusions: This novel microRNA-based assay shows high accuracy in identifying the final clinical diagnosis in a real life CUP patient cohort and could be a useful tool to facilitate administration of optimal therapy.
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页数:8
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共 32 条
  • [1] ANALYSIS OF A DIAGNOSTIC STRATEGY FOR PATIENTS WITH SUSPECTED TUMORS OF UNKNOWN ORIGIN
    ABBRUZZESE, JL
    ABBRUZZESE, MC
    LENZI, R
    HESS, KR
    RABER, MN
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 1995, 13 (08) : 2094 - 2103
  • [2] Determining Tissue of Origin for Metastatic Cancers Meta-analysis and Literature Review of Immunohistochemistry Performance
    Anderson, Glenda G.
    Weiss, Lawrence M.
    [J]. APPLIED IMMUNOHISTOCHEMISTRY & MOLECULAR MORPHOLOGY, 2010, 18 (01) : 3 - 8
  • [3] Gene expression profiling may improve diagnosis in patients with carcinoma of unknown primary
    Bridgewater, J.
    van Laar, R.
    Floore, A.
    Van't Veer, L.
    [J]. BRITISH JOURNAL OF CANCER, 2008, 98 (08) : 1425 - 1430
  • [4] Renal-cell carcinoma - Molecular pathways and therapies
    Brugarolas, James
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2007, 356 (02) : 185 - 187
  • [5] Markers of adenocarcinoma characteristic of the site of origin: Development of a diagnostic algorithm
    Dennis, JL
    Hvidsten, TR
    Wit, EC
    Komorowski, J
    Bell, AK
    Downie, I
    Mooney, J
    Verbeke, C
    Bellamy, C
    Keith, WN
    Olien, KA
    [J]. CLINICAL CANCER RESEARCH, 2005, 11 (10) : 3766 - 3772
  • [6] Performance and Clinical Evaluation of the 92-Gene Real-Time PCR Assay for Tumor Classification
    Erlander, Mark G.
    Ma, Xiao-Jun
    Kesty, Nicole C.
    Bao, Lei
    Salunga, Ranelle
    Schnabel, Catherine A.
    [J]. JOURNAL OF MOLECULAR DIAGNOSTICS, 2011, 13 (05) : 493 - 503
  • [7] Classification of the Four Main Types of Lung Cancer Using a MicroRNA-Based Diagnostic Assay
    Gilad, Shlomit
    Lithwick-Yanai, Gila
    Barshack, Iris
    Benjamin, Sima
    Krivitsky, Irit
    Edmonston, Tina Bocker
    Bibbo, Marluce
    Thurm, Craig
    Horowitz, Laurie
    Huang, Yajue
    Feinmesser, Meora
    Hou, J. Steve
    St Cyr, Brianna
    Burnstein, Ilanit
    Gibori, Hadas
    Dromi, Nir
    Sanden, Mats
    Kushnir, Michal
    Aharonov, Ranit
    [J]. JOURNAL OF MOLECULAR DIAGNOSTICS, 2012, 14 (05) : 510 - 517
  • [8] Serum MicroRNAs Are Promising Novel Biomarkers
    Gilad, Shlomit
    Meiri, Eti
    Yogev, Yariv
    Benjamin, Sima
    Lebanony, Danit
    Yerushalmi, Noga
    Benjamin, Hila
    Kushnir, Michal
    Cholakh, Hila
    Melamed, Nir
    Bentwich, Zvi
    Hod, Moshe
    Goren, Yaron
    Chajut, Ayelet
    [J]. PLOS ONE, 2008, 3 (09):
  • [9] Cancer of unknown primary: progress in the search for improved and rapid diagnosis leading toward superior patient outcomes
    Greco, F. A.
    Oien, K.
    Erlander, M.
    Osborne, R.
    Varadhachary, G.
    Bridgewater, J.
    Cohen, D.
    Wasan, H.
    [J]. ANNALS OF ONCOLOGY, 2012, 23 (02) : 298 - 304
  • [10] Molecular Profiling Diagnosis in Unknown Primary Cancer: Accuracy and Ability to Complement Standard Pathology
    Greco, F. Anthony
    Lennington, Wayne J.
    Spigel, David R.
    Hainsworth, John D.
    [J]. JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2013, 105 (11): : 782 - 790