Evidence map›Paper›PMID 34797711›Full record

ArticleScience advances2021

A perception-based nanosensor platform to detect cancer biomarkers.

Zvi Yaari, Yoona Yang, Elana Apfelbaum, Christian Cupo, Alex H Settle, Quinlan Cullen, Winson Cai, Kara Long Roche, Douglas A Levine, Martin Fleisher and 4 more

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
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

40 citing papers in PubMed.

  1. Review
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  12. High-throughput SWCNT NIR-II screening enables cell andbioRxiv : the preprint server for biology · 2026
    Article
  13. Article
  14. Article
  15. Review
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  20. High-Throughput Approaches to Engineer Fluorescent Nanosensors.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
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

14 authors.

Zvi YaariMemorial Sloan Kettering Cancer Center, NY, New York 10065, USA.ORCID 0000-0002-1889-1994
Yoona YangLehigh University, Bethlehem, PA 18015, USA.ORCID 0000-0002-7446-8816
Elana ApfelbaumMemorial Sloan Kettering Cancer Center, NY, New York 10065, USA.
Christian CupoMemorial Sloan Kettering Cancer Center, NY, New York 10065, USA.ORCID 0000-0002-1118-6897
Alex H SettleMemorial Sloan Kettering Cancer Center, NY, New York 10065, USA.ORCID 0000-0001-5924-6994
Quinlan CullenWeill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, USA.ORCID 0000-0003-0518-2264
Winson CaiWeill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, USA.ORCID 0000-0001-7121-0986
Kara Long RocheMemorial Sloan Kettering Cancer Center, NY, New York 10065, USA.ORCID 0000-0003-0342-2922
Douglas A LevineNYU Langone Medical Center, New York, NY 10016, USA.ORCID 0000-0003-1038-8232
Martin FleisherMemorial Sloan Kettering Cancer Center, NY, New York 10065, USA.
Lakshmi RamanathanMemorial Sloan Kettering Cancer Center, NY, New York 10065, USA.
Ming ZhengNational Institute of Standards and Technology, Gaithersburg, MD 20899, USA.ORCID 0000-0002-8058-1348
Anand JagotaLehigh University, Bethlehem, PA 18015, USA.ORCID 0000-0002-0779-0880
Daniel A HellerMemorial Sloan Kettering Cancer Center, NY, New York 10065, USA.ORCID 0000-0002-6866-0000

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
P-selectin-Mediated Targeting of PI3K Nanomedicines to the Tumor MicroenvironmentR01CA215719 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI HELLER, DANIEL ALAN · 2018 to 2022
$3.1M
Transient Metabolite Detection for Single-Cell Metabolomics and DiagnosticsDP2HD075698 · NICHD · SLOAN-KETTERING INST CAN RESEARCH · PI HELLER, DANIEL ALAN · 2012 to 2012
$2.7M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA215719NICHD NIH HHS DP2 HD075698
6 · The paper itself

Abstract

Conventional molecular recognition elements, such as antibodies, present issues for developing biomolecular assays for use in certain technologies, such as implantable devices. Additionally, antibody development and use, especially for highly multiplexed applications, can be slow and costly. We developed a perception-based platform based on an optical nanosensor array that leverages machine learning algorithms to detect multiple protein biomarkers in biofluids. We demonstrated this platform in gynecologic cancers, often diagnosed at advanced stages, leading to low survival rates. We investigated the detection of protein biomarkers in uterine lavage samples, which are enriched with certain cancer markers compared to blood. We found that the method enables the simultaneous detection of multiple biomarkers in patient samples, with F1-scores of ~0.95 in uterine lavage samples from patients with cancer. This work demonstrates the potential of perception-based systems for the development of multiplexed sensors of disease biomarkers without the need for specific molecular recognition elements.

Identifiers

PMID34797711
PMCPMC8604403

What OpenQuestion holds

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Registered trials

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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.