Evidence map›Paper›PMID 28701572›Full record

ArticleThe oncologist2017

Clinical Application of Targeted Deep Sequencing in Solid-Cancer Patients and Utility for Biomarker-Selected Clinical Trials.

Seung Tae Kim, Kyoung-Mee Kim, Nayoung K D Kim, Joon Oh Park, Soomin Ahn, Jae-Won Yun, Kyu-Tae Kim, Se Hoon Park, Peter J Park, Hee Cheol Kim and 13 more

Abstract read
In one paragraph

Article in The oncologist, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Global Implementation of Precision Oncology.JCO precision oncology · 2021
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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

23 authors.

Seung Tae KimDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Kyoung-Mee KimDivision of Gasteroenterology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Nayoung K D KimSamsung Genome Institute, Samsung Medical Center, Seoul, Korea.
Joon Oh ParkDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Soomin AhnInnovative Cancer Medicine Institute, Samsung Cancer Center, Seoul, Korea.
Jae-Won YunSamsung Genome Institute, Samsung Medical Center, Seoul, Korea.
Kyu-Tae KimSamsung Genome Institute, Samsung Medical Center, Seoul, Korea.
Se Hoon ParkDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Peter J ParkDepartment of Biomedical Informatics, Harvard Medical School, Boston, Masachusetts, USA.
Hee Cheol KimDepartments of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Tae Sung SohnDepartments of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Dong Il ChoiDepartments of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jong Ho ChoDepartments of Thoracic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jin Seok HeoDepartments of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Wooil KwonBiostatistics and Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hyuk LeeSamsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Korea.
Byung-Hoon MinSamsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Korea.
Sung No HongInnovative Cancer Medicine Institute, Samsung Cancer Center, Seoul, Korea.
Young Suk ParkDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Ho Yeong LimDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Won Ki KangDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Seoul, Korea woongyang@skku.edu jyunlee@skku.edu.
Jeeyun LeeDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea woongyang@skku.edu jyunlee@skku.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular profiling of actionable mutations in refractory cancer patients has the potential to enable "precision medicine," wherein individualized therapies are guided based on genomic profiling. The molecular-screening program was intended to route participants to different candidate drugs in trials based on clinical-sequencing reports. In this screening program, we used a custom target-enrichment panel consisting of cancer-related genes to interrogate single-nucleotide variants, insertions and deletions, copy number variants, and a subset of gene fusions. From August 2014 through April 2015, 654 patients consented to participate in the program at Samsung Medical Center. Of these patients, 588 passed the quality control process for the 381-gene cancer-panel test, and 418 patients were included in the final analysis as being eligible for any anticancer treatment (127 gastric cancer, 122 colorectal cancer, 62 pancreatic/biliary tract cancer, 67 sarcoma/other cancer, and 40 genitourinary cancer patients). Of the 418 patients, 55 (12%) harbored a biomarker that guided them to a biomarker-selected clinical trial, and 184 (44%) patients harbored at least one genomic alteration that was potentially targetable. This study demonstrated that the panel-based sequencing program resulted in an increased rate of trial enrollment of metastatic cancer patients into biomarker-selected clinical trials. Given the expanding list of biomarker-selected trials, the guidance percentage to matched trials is anticipated to increase. IMPLICATIONS FOR PRACTICE: This study demonstrated that the panel-based sequencing program resulted in an increased rate of trial enrollment of metastatic cancer patients into biomarker-selected clinical trials. Given the expanding list of biomarker-selected trials, the guidance percentage to matched trials is anticipated to increase.

Indexed as

Biomarkers, TumorClinical Trials as TopicHigh-Throughput Nucleotide SequencingHumansMolecular Targeted TherapyBiomarkers, TumorClinical trialsMetastatic cancerMolecular screeningNext‐generation sequencing

Identifiers

PMID28701572
PMCPMC5634774

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.