Evidence map›Paper›PMID 34390828›Full record

Observational studyAnnals of oncology : official journal of the European Society for Medical Oncology2021

A multigenomic liquid biopsy biomarker for neuroendocrine tumor disease outperforms CgA and has surgical and clinical utility.

I M Modlin, M Kidd, M Falconi, P L Filosso, A Frilling, A Malczewska, C Toumpanakis, G Valk, K Pacak, L Bodei and 1 more

Open access · greenAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Annals of oncology : official journal of the European Society for Medical Oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 11 institutions in 6 countries.

I M ModlinDepartment of Surgery, Yale University School of Medicine, New Haven, USA.
M KiddWren Laboratories, Branford, USA.
M FalconiDepartment of Surgery, IRCCS San Raffaele Scientific Institute, Milan, Italy.
P L FilossoDepartment of Surgical Sciences, Università degli Studi di Torino, Turin, Italy.
A FrillingDepartment of Surgery and Cancer, Imperial College London, London, UK.
A MalczewskaDepartment of Endocrinology and Neuroendocrine Tumours, Medical University of Silesia, Katowice, Poland.
C ToumpanakisNeuroendocrine Tumour Unit, Royal Free Hospital, London, UK.
G ValkDepartment of Endocrine Oncology, University Medical Center Utrecht, Utrecht, Netherlands.
K PacakMedical Neuroendocrinology, National Institutes of Health, Bethesda, USA.
L BodeiDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA.
K E ÖbergDepartment of Endocrine Oncology, University Hospital, Uppsala, Sweden. Electronic address: kjell.oberg@medsci.uu.se.
Imperial College London · GBIstituto di Ricovero e Cura a Carattere Scientifico San RaffaeleMedical University of Silesia · PLMemorial Sloan Kettering Cancer Center · USNational Institutes of Health · USUniversity College London · GBUniversity Medical Center Utrecht · NLUniversity of Turin · ITUppsala University Hospital · SEWren Laboratories (United States) · USYale University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundBiomarkers 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

methodsAn 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.

resultsCohort 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/

conclusionNETest 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.

Indexed as

Neuroendocrine TumorsPancreatic NeoplasmsBiomarkers, TumorChromogranin ACross-Sectional StudiesHumansLiquid BiopsyNeoplasm Recurrence, LocalProspective StudiesBiomarkers, TumorChromogranin AbiomarkerChromograninNETNETestneuroendocrine tumor

Identifiers

PMID34390828
PMCPMC9393904
OpenAlexW3190475220

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.