Evidence map›Paper›PMID 35603292›Full record

ArticleCommunications medicine2022

Early-stage multi-cancer detection using an extracellular vesicle protein-based blood test.

Juan Pablo Hinestrosa, Razelle Kurzrock, Jean M Lewis, Nicholas J Schork, Gregor Schroeder, Ashish M Kamat, Andrew M Lowy, Ramez N Eskander, Orlando Perrera, David Searson and 11 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Communications medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05625529 (Exoluminate Study), which is not on this map. Cited by 98 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 1 pooled it
12.0field-weighted citation impact, top 1% 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.

NCT05625529 recruitingnot on this map

Exoluminate Study: Observational Registry Study to Assess Exo-PDAC Assay Performance for Detection of Pancreatic Adenocarcinoma (PDAC) in High-Risk or Clinically Suspicious Patients

Typeobservational_patient_registrySponsorBiological DynamicsRan2022 to 2028Enrolled1,000ConditionsPancreas Cancer, Exosomes, Extracellular Vesicles, Pancreatic Neoplasms
3 · Its place in the literature

Who cites it

98 citing papers in PubMed, 1 synthesis or guideline pooled it, 148 citations in OpenAlex.

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38 more citing papers are in PubMed but not listed here.

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

21 authors at 6 institutions in 1 country.

Juan Pablo HinestrosaBiological Dynamics, Inc, San Diego, CA USA.
Razelle KurzrockWIN Consortium for Personalized Cancer Therapy, Villejuif, France.ORCID 0000-0003-4110-1214
Jean M LewisBiological Dynamics, Inc, San Diego, CA USA.ORCID 0000-0001-6978-5166
Nicholas J SchorkThe Translational Genomics Research Institute (TGen), Phoenix, AZ USA.ORCID 0000-0003-0920-5013
Gregor SchroederBiological Dynamics, Inc, San Diego, CA USA.ORCID 0000-0002-9723-7789
Ashish M KamatUniversity of Texas MD Anderson Cancer Center, Department of Urology, Houston, TX USA.
Andrew M LowyUniversity of California San Diego, Moores Cancer Center, San Diego, CA USA.
Ramez N EskanderUniversity of California San Diego, Moores Cancer Center, San Diego, CA USA.
Orlando PerreraBiological Dynamics, Inc, San Diego, CA USA.
David SearsonBiological Dynamics, Inc, San Diego, CA USA.
Kiarash RastegarBiological Dynamics, Inc, San Diego, CA USA.
Jake R HughesBiological Dynamics, Inc, San Diego, CA USA.
Victor OrtizBiological Dynamics, Inc, San Diego, CA USA.
Iryna ClarkBiological Dynamics, Inc, San Diego, CA USA.
Heath I BalcerBiological Dynamics, Inc, San Diego, CA USA.ORCID 0000-0002-2745-4569
Larry ArakelyanBiological Dynamics, Inc, San Diego, CA USA.
Robert TurnerBiological Dynamics, Inc, San Diego, CA USA.
Paul R BillingsBiological Dynamics, Inc, San Diego, CA USA.
Mark J AdlerSan Diego Cancer Research Institute, San Diego, CA USA.
Scott M LippmanUniversity of California San Diego, Moores Cancer Center, San Diego, CA USA.ORCID 0000-0002-1643-4124
Rajaram KrishnanBiological Dynamics, Inc, San Diego, CA USA.ORCID 0000-0001-7241-4307
General Dynamics (United States) · USUniversity of San Diego · USCancer Research Institute · USThe University of Texas MD Anderson Cancer Center · USTranslational Genomics Research Institute · USUniversity of Nebraska at Omaha · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Detecting cancer at early stages significantly increases patient survival rates. Because lethal solid tumors often produce few symptoms before progressing to advanced, metastatic disease, diagnosis frequently occurs when surgical resection is no longer curative. One promising approach to detect early-stage, curable cancers uses biomarkers present in circulating extracellular vesicles (EVs). To explore the feasibility of this approach, we developed an EV-based blood biomarker classifier from EV protein profiles to detect stages I and II pancreatic, ovarian, and bladder cancer. Methods: Utilizing an alternating current electrokinetics (ACE) platform to purify EVs from plasma, we use multi-marker EV-protein measurements to develop a machine learning algorithm that can discriminate cancer cases from controls. The ACE isolation method requires small sample volumes, and the streamlined process permits integration into high-throughput workflows. Results: In this case-control pilot study, comparison of 139 pathologically confirmed stage I and II cancer cases representing pancreatic, ovarian, or bladder patients against 184 control subjects yields an area under the curve (AUC) of 0.95 (95% CI: 0.92 to 0.97), with sensitivity of 71.2% (95% CI: 63.2 to 78.1) at 99.5% (97.0 to 99.9) specificity. Sensitivity is similar at both early stages [stage I: 70.5% (60.2 to 79.0) and stage II: 72.5% (59.1 to 82.9)]. Detection of stage I cancer reaches 95.5% in pancreatic, 74.4% in ovarian (73.1% in Stage IA) and 43.8% in bladder cancer. Conclusions: This work demonstrates that an EV-based, multi-cancer test has potential clinical value for early cancer detection and warrants future expanded studies involving prospective cohorts with multi-year follow-up.

Indexed as

Bladder cancerCancer screeningOvarian cancerPancreatic cancer

Identifiers

PMID35603292
PMCPMC9053211
OpenAlexW4220820123

What OpenQuestion holds

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Registered trials

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.