Evidence map›Paper›PMID 27956614›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Molecular profiling of single circulating tumor cells from lung cancer patients.

Seung-Min Park, Dawson J Wong, Chin Chun Ooi, David M Kurtz, Ophir Vermesh, Amin Aalipour, Susie Suh, Kelsey L Pian, Jacob J Chabon, Sang Hun Lee and 13 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

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  11. MicroRNA Regulation of T-Cell Exhaustion in Cutaneous T Cell Lymphoma.The Journal of investigative dermatology · 2022
    Article
  12. Review
  13. Synthesis and Application of Silica-Coated Quantum Dots in Biomedicine.International journal of molecular sciences · 2021
    Review
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  20. Single-Cell Analysis of BRAFMethods in molecular biology (Clifton, N.J.) · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Seung-Min ParkDepartment of Radiology, Stanford University School of Medicine, Stanford, CA 94305.ORCID 0000-0002-2123-6245
Dawson J WongDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305.
Chin Chun OoiDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305.
David M KurtzMolecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA 94305.
Ophir VermeshDepartment of Radiology, Stanford University School of Medicine, Stanford, CA 94305.
Amin AalipourDepartment of Radiology, Stanford University School of Medicine, Stanford, CA 94305.
Susie SuhDepartment of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, OH 44106.
Kelsey L PianDepartment of Materials Science and Engineering, Stanford University, Stanford, CA 94305.
Jacob J ChabonInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305.
Sang Hun LeeDepartment of Bioengineering, University of California, Berkeley, CA 94720.
Mehran JamaliDepartment of Radiology, Stanford University School of Medicine, Stanford, CA 94305.
Carmen SayDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305.
Justin N CarterDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305.
Luke P LeeDepartment of Bioengineering, University of California, Berkeley, CA 94720.
Ware G KuschnerSection of Pulmonary and Critical Care Medicine, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304.
Erich J SchwartzDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305.
Joseph B ShragerDepartment of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA 94305.
Joel W NealDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305.
Heather A WakeleeDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305.
Maximilian DiehnInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305.
Viswam S NairDepartment of Radiology, Stanford University School of Medicine, Stanford, CA 94305; sgambhir@stanford.edu viswamnair@stanford.edu sxwang@stanford.edu.
Shan X WangDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305; sgambhir@stanford.edu viswamnair@stanford.edu sxwang@stanford.edu.
Sanjiv S GambhirDepartment of Radiology, Stanford University School of Medicine, Stanford, CA 94305; sgambhir@stanford.edu viswamnair@stanford.edu sxwang@stanford.edu.

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
Pilot ProjectsU54CA151459 · NCI · STANFORD UNIVERSITY · PI GAMBHIR, SANJIV S · 2010 to 2014
$12.6M
Nano Characterization and Nano Fabrication CoreU54CA199075 · NCI · STANFORD UNIVERSITY · PI GAMBHIR, SANJIV S · 2015 to 2019
$9.6M
Analysis of CTCs for Early Prediction of Response to Treatment in RCCR21CA185804 · NCI · STANFORD UNIVERSITY · PI FAN, ALICE CHEN, WANG, SHAN X. · 2015 to 2016
$383k
NCI NIH HHS P30 CA124435NCI NIH HHS R21 CA185804NCI NIH HHS U54 CA151459NCI NIH HHS U54 CA199075
6 · The paper itself

Abstract

Circulating tumor cells (CTCs) are established cancer biomarkers for the "liquid biopsy" of tumors. Molecular analysis of single CTCs, which recapitulate primary and metastatic tumor biology, remains challenging because current platforms have limited throughput, are expensive, and are not easily translatable to the clinic. Here, we report a massively parallel, multigene-profiling nanoplatform to compartmentalize and analyze hundreds of single CTCs. After high-efficiency magnetic collection of CTC from blood, a single-cell nanowell array performs CTC mutation profiling using modular gene panels. Using this approach, we demonstrated multigene expression profiling of individual CTCs from non-small-cell lung cancer (NSCLC) patients with remarkable sensitivity. Thus, we report a high-throughput, multiplexed strategy for single-cell mutation profiling of individual lung cancer CTCs toward minimally invasive cancer therapy prediction and disease monitoring.

Indexed as

Neoplastic Cells, CirculatingAdultAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell CountFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLeukocyte Common AntigensLung NeoplasmsMaleMicrofluidicsMiddle AgedMutationBiomarkers, TumorLeukocyte Common AntigensPTPRC protein, humancirculating tumor cellsmicrofluidicsrare-cell sortingreverse transcription-PCRsingle-cell analysis

Identifiers

PMID27956614
PMCPMC5206556

What OpenQuestion holds

Textmetadata
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.