Evidence map›Paper›PMID 27375074›Full record

ArticleThe Journal of molecular diagnostics : JMD2016

Reality of Single Circulating Tumor Cell Sequencing for Molecular Diagnostics in Pancreatic Cancer.

Colin M Court, Jacob S Ankeny, Shonan Sho, Shuang Hou, Qingyu Li, Carolyn Hsieh, Min Song, Xinfang Liao, Matthew M Rochefort, Zev A Wainberg and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Laser Capture Microdissection: A Gear for Pancreatic Cancer Research.International journal of molecular sciences · 2022
    Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Circulating Hybrid Cells Join the Fray of Circulating Cellular Biomarkers.Cellular and molecular gastroenterology and hepatology · 2019
    Review
  14. Liquid biopsy: one cell at a time.NPJ precision oncology · 2019
    Review
  15. A novel multimarker assay for the phenotypic profiling of circulating tumor cells in hepatocellular carcinoma.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2018
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Single cell sequencing: a distinct new field.Clinical and translational medicine · 2017
    Review
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

13 authors at 2 institutions in 1 country.

Colin M CourtDepartment of Surgery, University of California Los Angeles, Los Angeles, California; Department of Surgery, Greater Los Angeles Veterans Affairs Administration, Los Angeles, California; Department of Molecular, Cellular, and Integrative Physiology, University of California Los Angeles, Los Angeles, California.
Jacob S AnkenyDepartment of Surgery, University of California Los Angeles, Los Angeles, California; Department of Surgery, Greater Los Angeles Veterans Affairs Administration, Los Angeles, California.
Shonan ShoDepartment of Surgery, University of California Los Angeles, Los Angeles, California; Department of Surgery, Greater Los Angeles Veterans Affairs Administration, Los Angeles, California.
Shuang HouDepartment of Surgery, University of California Los Angeles, Los Angeles, California; Department of Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, California.
Qingyu LiDepartment of Surgery, University of California Los Angeles, Los Angeles, California.
Carolyn HsiehDepartment of Surgery, University of California Los Angeles, Los Angeles, California.
Min SongDepartment of Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, California.
Xinfang LiaoDepartment of Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, California.
Matthew M RochefortDepartment of Surgery, University of California Los Angeles, Los Angeles, California; Department of Surgery, Greater Los Angeles Veterans Affairs Administration, Los Angeles, California.
Zev A WainbergCenter for Pancreatic Disease, University of California Los Angeles, Los Angeles, California.
Thomas G GraeberDepartment of Molecular, Cellular, and Integrative Physiology, University of California Los Angeles, Los Angeles, California; Department of Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, California.
Hsian-Rong TsengDepartment of Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, California.
James S TomlinsonDepartment of Surgery, University of California Los Angeles, Los Angeles, California; Department of Surgery, Greater Los Angeles Veterans Affairs Administration, Los Angeles, California; Center for Pancreatic Disease, University of California Los Angeles, Los Angeles, California. Electronic address: jtomlinson@mednet.ucla.edu.
University of California, Los Angeles · USWest Los Angeles College · US

Funding

Thermoresponsive NanoVelcro CTC Purification System for Prostate Cancer ProfilingU01CA198900 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI POSADAS, EDWIN MELENCIO, TSENG, HSIAN-RONG · 2015 to 2019
$2.4M
CTC Purification System Based on Thermoresponsive NanoSubstratesR44CA180482 · NCI · CYTOLUMINA TECHNOLOGIES CORPORATION, INC · PI LIU, SEAN XIAO, TSENG, HSIAN-RONG · 2015 to 2016
$2.0M
Molecular and Functional Analysis of Single Circulating Melanoma CellsR33CA174562 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TSENG, HSIAN-RONG · 2013 to 2015
$987k
NCI NIH HHS R33 CA174562NCI NIH HHS R44 CA180482NCI NIH HHS U01 CA198900
6 · The paper itself

Abstract

To understand the potential and limitations of circulating tumor cell (CTC) sequencing for molecular diagnostics, we investigated the feasibility of identifying the ubiquitous KRAS mutation in single CTCs from pancreatic cancer (PC) patients. We used the NanoVelcro/laser capture microdissection CTC platform, combined with whole genome amplification and KRAS Sanger sequencing. We assessed both KRAS codon-12 coverage and the degree that allele dropout during whole genome amplification affected the detection of KRAS mutations from single CTCs. We isolated 385 single cells, 163 from PC cell lines and 222 from the blood of 12 PC patients, and obtained KRAS sequence coverage in 218 of 385 single cells (56.6%). For PC cell lines with known KRAS mutations, single mutations were detected in 67% of homozygous cells but only 37.4% of heterozygous single cells, demonstrating that both coverage and allele dropout are important causes of mutation detection failure from single cells. We could detect KRAS mutations in CTCs from 11 of 12 patients (92%) and 33 of 119 single CTCs sequenced, resulting in a KRAS mutation detection rate of 27.7%. Importantly, KRAS mutations were never found in the 103 white blood cells sequenced. Sequencing of groups of cells containing between 1 and 100 cells determined that at least 10 CTCs are likely required to reliably assess KRAS mutation status from CTCs.

Indexed as

Biomarkers, TumorCell Line, TumorDNA Mutational AnalysisGenotypeHumansMicrochip Analytical ProceduresMolecular Diagnostic TechniquesNeoplastic Cells, CirculatingPancreatic NeoplasmsPolymerase Chain ReactionProto-Oncogene Proteins p21(ras)Reproducibility of ResultsSensitivity and SpecificitySequence Analysis, DNASingle-Cell AnalysisBiomarkers, TumorKRAS protein, humanProto-Oncogene Proteins p21(ras)

Identifiers

PMID27375074
PMCPMC5397706
OpenAlexW2469032805

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.