Evidence map›Paper›PMID 28477007›Full record

ArticleOncotarget2017

Tissue recommendations for precision cancer therapy using next generation sequencing: a comprehensive single cancer center's experiences.

Minho Cho, Soomin Ahn, Mineui Hong, Heejin Bang, Michael Van Vrancken, Seungtae Kim, Jeeyun Lee, Se Hoon Park, Joon Oh Park, Young Suk Park and 10 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 25% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Liquid biopsy in lung cancer.Breathe (Sheffield, England) · 2025
    Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. A Clinician's Guide to Bioinformatics for Next-Generation Sequencing.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2023
    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

20 authors at 5 institutions in 2 countries.

Minho ChoCenter for Cancer Companion Diagnostics, The Innovative Cancer Medicine Institute, Samsung Medical Center, Seoul, Korea.
Soomin AhnDepartment of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Mineui HongCenter for Cancer Companion Diagnostics, The Innovative Cancer Medicine Institute, Samsung Medical Center, Seoul, Korea.
Heejin BangCenter for Cancer Companion Diagnostics, The Innovative Cancer Medicine Institute, Samsung Medical Center, Seoul, Korea.
Michael Van VranckenDepartment of Pathology and Laboratory Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA.
Seungtae KimDepartment of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jeeyun LeeDepartment of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Se Hoon ParkDepartment of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Joon Oh ParkDepartment of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Young Suk ParkDepartment of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Ho Yeong LimDepartment of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Won Ki KangDepartment of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jong-Mu SunDepartment of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Se Hoon LeeDepartment of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Myung-Ju AhnDepartment of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Keunchil ParkDepartment of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Duk Hwan KimMedical Translational Research Center, Samsung Biological Research Institute, Seoul, Korea.
Seunggwan LeeDepartment of Integrated Health and Environmental Science, College of Health Science, Korea University, Seoul, Korea.
Woongyang ParkSamsung Genome Institute, Seoul, Korea.
Kyoung-Mee KimDepartment of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Samsung Medical Center · KRSungkyunkwan University · KRKorea University · KRSamsung (South Korea) · KRTulane University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To generate accurate next-generation sequencing (NGS) data, the amount and quality of DNA extracted is critical. We analyzed 1564 tissue samples from patients with metastatic or recurrent solid tumor submitted for NGS according to their sample size, acquisition method, organ, and fixation to propose appropriate tissue requirements.Of the 1564 tissue samples, 481 (30.8%) consisted of fresh-frozen (FF) tissue, and 1,083 (69.2%) consisted of formalin-fixed paraffin-embedded (FFPE) tissue. We obtained successful NGS results in 95.9% of cases. Out of 481 FF biopsies, 262 tissue samples were from lung, and the mean fragment size was 2.4 mm. Compared to lung, GI tract tumor fragments showed a significantly lower DNA extraction failure rate (2.1 % versus 6.1%, p = 0.04). For FFPE biopsy samples, the size of biopsy tissue was similar regardless of tumor type with a mean of 0.8 × 0.3 cm, and the mean DNA yield per one unstained slide was 114 ng. We obtained highest amount of DNA from the colorectum (2353 ng) and the lowest amount from the hepatobiliary tract (760.3 ng) likely due to a relatively smaller biopsy size, extensive hemorrhage and necrosis, and lower tumor volume. On one unstained slide from FFPE operation specimens, the mean size of the specimen was 2.0 × 1.0 cm, and the mean DNA yield per one unstained slide was 1800 ng.In conclusions, we present our experiences on tissue requirements for appropriate NGS workflow: > 1 mm2 for FF biopsy, > 5 unstained slides for FFPE biopsy, and > 1 unstained slide for FFPE operation specimens for successful test results in 95.9% of cases.

Indexed as

GenomicsHigh-Throughput Nucleotide SequencingPrecision MedicineBiopsyHumansMolecular Targeted TherapyNeoplasmsQuality ControlTumor BurdenWorkflowcancerDNAnext generation sequencingtargettherapy

Identifiers

PMID28477007
PMCPMC5522081
OpenAlexW2607462299

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.