Your browser doesn't support javascript.
loading
A multigenomic liquid biopsy biomarker for neuroendocrine tumor disease outperforms CgA and has surgical and clinical utility.
Modlin, I M; Kidd, M; Falconi, M; Filosso, P L; Frilling, A; Malczewska, A; Toumpanakis, C; Valk, G; Pacak, K; Bodei, L; Öberg, K E.
  • Modlin IM; Department of Surgery, Yale University School of Medicine, New Haven, USA.
  • Kidd M; Wren Laboratories, Branford, USA.
  • Falconi M; Department of Surgery, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Filosso PL; Department of Surgical Sciences, Università degli Studi di Torino, Turin, Italy.
  • Frilling A; Department of Surgery and Cancer, Imperial College London, London, UK.
  • Malczewska A; Department of Endocrinology and Neuroendocrine Tumours, Medical University of Silesia, Katowice, Poland.
  • Toumpanakis C; Neuroendocrine Tumour Unit, Royal Free Hospital, London, UK.
  • Valk G; Department of Endocrine Oncology, University Medical Center Utrecht, Utrecht, Netherlands.
  • Pacak K; Medical Neuroendocrinology, National Institutes of Health, Bethesda, USA.
  • Bodei L; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA.
  • Öberg KE; Department of Endocrine Oncology, University Hospital, Uppsala, Sweden. Electronic address: kjell.oberg@medsci.uu.se.
Ann Oncol ; 32(11): 1425-1433, 2021 11.
Article en En | MEDLINE | ID: mdl-34390828
ABSTRACT

BACKGROUND:

Biomarkers are key tools in cancer management. In neuroendocrine tumors (NETs), Chromogranin A (CgA) was considered acceptable as a biomarker. We compared the clinical efficacy of a multigenomic blood biomarker (NETest) to CgA over a 5-year period. PATIENTS AND

METHODS:

An observational, prospective, cross-sectional, multicenter, multinational, comparative cohort assessment. Cohort 1 NETest evaluation in NETs (n = 1684) and cancers, benign diseases, controls (n = 731). Cohort 2 (n = 1270) matched analysis of NETest/CgA in a sub-cohort of NETs (n = 922) versus other diseases and controls (n = 348). Disease status was assessed by response evaluation criteria in solid tumors (RECIST). NETest measurement qPCR [upper limit of normal (ULN 20)], CgA (EuroDiagnostica, ULN 108 ng/ml). STATISTICS Mann-Whitney U-test, AUROC, chi-square and McNemar' test.

RESULTS:

Cohort 1 NETest diagnostic accuracy was 91% (P < 0.0001) and identified pheochromocytomas (98%), small intestine (94%), pancreas (91%), lung (88%), gastric (80%) and appendix (79%). NETest reflected grading G1 40 ± 1, G2 (50 ± 1) and G3 (52 ± 1). Locoregional disease levels were lower (38 ± 1) than metastatic (52 ± 1, P < 0.0001). NETest accurately stratified RECIST-assessed disease extent no disease (21 ± 1), stable (43 ± 2), progressive (62 ± 2) (P < 0.0001). NETest concordance with imaging (CT/MRI/68Ga-SSA-PET) 91%. Presurgery, all NETs (n = 153) were positive (100%). After palliative R1/R2 surgery (n = 51) all (100%) remained elevated. After curative R0-surgery (n = 102), NETest levels were normal in 81 (70%) with no recurrence at 2 years. In the 31 (30%) with elevated levels, 25 (81%) recurred within 2 years. Cohort #2 NETest diagnostic accuracy was 87% and CgA 54% (P < 0.0001). NETest was more accurate than CgA for grading (chi-square = 7.7, OR = 18.5) and metastatic identification (chi-square = 180, OR = 8.4). NETest identified progressive disease (95%) versus CgA (57%, P < 0.0001). Imaging concordance for NETest was 91% versus CgA (46%) (P < 0.0001). Recurrence prediction after surgery was NETest-positive in >94% versus CgA 11%.

CONCLUSION:

NETest accurately diagnoses NETs and is an effective surrogate marker for imaging, grade, metastases and disease status compared to CgA. A multigenomic liquid biopsy is an accurate biomarker of NET disease.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Tumores Neuroendocrinos Tipo de estudio: Clinical_trials / Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Tumores Neuroendocrinos Tipo de estudio: Clinical_trials / Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article