Evidence map›Paper›PMID 26925973›Full record

ArticleBMC cancer2016

Clinical application of genomic profiling to find druggable targets for adolescent and young adult (AYA) cancer patients with metastasis.

Soojin Cha, Jeongeun Lee, Jong-Yeon Shin, Ji-Yeon Kim, Sung Hoon Sim, Bhumsuk Keam, Tae Min Kim, Dong-Wan Kim, Dae Seog Heo, Se-Hoon Lee and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Searching the druggable genome using large language models.Bioinformatics (Oxford, England) · 2026
    Article
  3. Review
  4. Searching the Druggable Genome using Large Language Models.bioRxiv : the preprint server for biology · 2026
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  5. Review
  6. Article
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  12. Prevalence of APC and PTEN Alterations in Urachal Cancer.Pathology oncology research : POR · 2020
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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

11 authors at 2 institutions in 1 country.

Soojin ChaCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea. soojincha36@gmail.com.
Jeongeun LeeInterdisciplinary Program for Bioengineering of Graduate School, Seoul National University, Seoul, Republic of Korea. jeleedict@gmail.com.
Jong-Yeon ShinGenomic Medicine Institute, Seoul National University, Seoul, Republic of Korea. jongyeon.anna@gmail.com.
Ji-Yeon KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea. medijiyeon@gmail.com.
Sung Hoon SimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea. cantusprote@gmail.com.
Bhumsuk KeamCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea. bhumsuk@snu.ac.kr.
Tae Min KimCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea. gabriel9@snu.ac.kr.
Dong-Wan KimCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea. kimdw@snu.ac.kr.
Dae Seog HeoCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea. heo1013@snu.ac.kr.
Se-Hoon LeeCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea. sehoon.lee119@gmail.com.
Jong-Il KimCancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea. jongil@snu.ac.kr.
Seoul National University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough adolescent and young adult (AYA) cancers are characterized by biological features and clinical outcomes distinct from those of other age groups, the molecular profile of AYA cancers has not been well defined. In this study, we analyzed cancer genomes from rare types of metastatic AYA cancers to identify driving and/or druggable genetic alterations.

methodsProspectively collected AYA tumor samples from seven different patients were analyzed using three different genomics platforms (whole-exome sequencing, whole-transcriptome sequencing or OncoScan™). Using well-known bioinformatics tools (bwa, Picard, GATK, MuTect, and Somatic Indel Detector) and our annotation approach with open access databases (DAVID and DGIdb), we processed sequencing data and identified driving genetic alterations and their druggability.

resultsThe mutation frequencies of AYA cancers were lower than those of other adult cancers (median = 0.56), except for a germ cell tumor with hypermutation. We identified patient-specific genetic alterations in candidate driving genes: RASA2 and NF1 (prostate cancer), TP53 and CDKN2C (olfactory neuroblastoma), FAT1, NOTCH1, and SMAD4 (head and neck cancer), KRAS (urachal carcinoma), EML4-ALK (lung cancer), and MDM2 and PTEN (liposarcoma). We then suggested potential drugs for each patient according to his or her altered genes and related pathways. By comparing candidate driving genes between AYA cancers and those from all age groups for the same type of cancer, we identified different driving genes in prostate cancer and a germ cell tumor in AYAs compared with all age groups, whereas three common alterations (TP53, FAT1, and NOTCH1) in head and neck cancer were identified in both groups.

conclusionWe identified the patient-specific genetic alterations and druggability of seven rare types of AYA cancers using three genomics platforms. Additionally, genetic alterations in cancers from AYA and those from all age groups varied by cancer type.

Indexed as

Drug DiscoveryGene Expression ProfilingGenomicsAdolescentAdultAge FactorsAntineoplastic AgentsChromosomal InstabilityComputational BiologyCyclin-Dependent Kinase Inhibitor p18ExomeFemaleHigh-Throughput Nucleotide SequencingHumansINDEL MutationMaleAntineoplastic AgentsCyclin-Dependent Kinase Inhibitor p18EML4-ALK fusion protein, humanOncogene Proteins, Fusionras ProteinsReceptors, Notch

Identifiers

PMID26925973
PMCPMC4772349
OpenAlexW2290240874

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.