Evidence map›Paper›PMID 30872730›Full record

ArticleScientific reports2019

Intratumor heterogeneity inferred from targeted deep sequencing as a prognostic indicator.

Bo Young Oh, Hyun-Tae Shin, Jae Won Yun, Kyu-Tae Kim, Jinho Kim, Joon Seol Bae, Yong Beom Cho, Woo Yong Lee, Seong Hyeon Yun, Yoon Ah Park and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Molecular therapy. Oncology · 2025
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  8. Brain tumour genetic network signatures of survival.Brain : a journal of neurology · 2023
    Article
  9. Article
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  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Circulating Tumor DNA Analysis DetectsClinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  17. Article
  18. Intratumor CMS Heterogeneity Impacts Patient Prognosis in Localized Colon Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  19. The SCF Complex Is Essential to Maintain Genome and Chromosome Stability.International journal of molecular sciences · 2021
    Review
  20. 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

16 authors.

Bo Young OhDepartment of Colorectal Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.
Hyun-Tae ShinSamsung Genome Institute, Samsung Medical Center, Seoul, Korea.
Jae Won YunSamsung Genome Institute, Samsung Medical Center, Seoul, Korea.ORCID 0000-0002-9029-8036
Kyu-Tae KimNew York Genome Center, New York, NY, USA.
Jinho KimSamsung Genome Institute, Samsung Medical Center, Seoul, Korea.
Joon Seol BaeSamsung Genome Institute, Samsung Medical Center, Seoul, Korea.
Yong Beom ChoDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Woo Yong LeeDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seong Hyeon YunDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Yoon Ah ParkDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Yeon Hee ParkDivision of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Young-Hyuck ImDivision of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jeeyun LeeDivision of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-4911-6165
Je-Gun JoungSamsung Genome Institute, Samsung Medical Center, Seoul, Korea. jegun.joung@samsung.com.
Hee Cheol KimDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. hc111.kim@samsung.com.
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Seoul, Korea. woongyang.park@samsung.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor genetic heterogeneity may underlie poor clinical outcomes because diverse subclones could be comprised of metastatic and drug resistant cells. Targeted deep sequencing has been used widely as a diagnostic tool to identify actionable mutations in cancer patients. In this study, we evaluated the clinical utility of estimating tumor heterogeneity using targeted panel sequencing data. We investigated the prognostic impact of a tumor heterogeneity (TH) index on clinical outcomes, using mutational profiles from targeted deep sequencing data acquired from 1,352 patients across 8 cancer types. The TH index tended to be increased in high pathological stage disease in several cancer types, indicating clonal expansion of cancer cells as tumor progression proceeds. In colorectal cancer patients, TH index values also correlated significantly with clinical prognosis. Integration of the TH index with genomic and clinical features could improve the power of risk prediction for clinical outcomes. In conclusion, deep sequencing to determine the TH index could serve as a promising prognostic indicator in cancer patients.

Indexed as

Genetic HeterogeneityMutationFemaleGenomicsHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedNeoplasm ProteinsNeoplasmsPrognosisSurvival RateNeoplasm Proteins

Identifiers

PMID30872730
PMCPMC6418103

What OpenQuestion holds

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LicenceCC BY
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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.