Evidence map›Paper›PMID 39849190›Full record

ReviewGenes & genomics2025

Advances in cancer genomics and precision oncology.

Yonjong Heo, Woo-Jin Kim, Yong-Joon Cho, Jae-Won Jung, Nam-Soo Kim, Ik-Young Choi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Genes & genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
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

6 authors.

Yonjong HeoDepartment of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, 24341, Gangwon, Republic of Korea.
Woo-Jin KimDepartment of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, 24341, Gangwon, Republic of Korea.
Yong-Joon ChoDepartment of Molecular Bioscience, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Jae-Won JungGenetic Sciences Group, Thermo Fisher Scientific Solutions Korea Co., Ltd., Seoul, 06349, Republic of Korea.
Nam-Soo KimDepartment of Molecular Bioscience, Kangwon National University, Chuncheon, 24341, Republic of Korea. kimnamsu@kangwon.ac.kr.
Ik-Young ChoiDepartment of Smart Farm and Agricultural Industry, Kangwon National University, Chuncheon, 24341, Republic of Korea. choii@kangwon.ac.kr.ORCID 0000-0003-4168-0471

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNext-generation sequencing has revolutionized genome science over the last two decades. Indeed, the wealth of sequence information on our genome has deepened our understanding on cancer. Cancer is a genetic disease caused by genetic or epigenetic alternations that affect the expression of genes that control cell functions, particularly cell growth and division. Utilization of next-generation sequencing in cancer gene panels has enabled the identification of actionable gene alterations in cancer patients to guide personalized precision medicine.

objectiveThe aim is to provide information that can identify actionable gene alterations, enabling personalized precision medicine for cancer patients. RESULTS & DISCUSSION: Equipped with next-generation sequencing techniques, international collaboration programs on cancer genomics have identified numerous mutations, gene fusions, microsatellite variations, copy number variations, and epigenetics changes that promote the transformation of normal cells into tumors. Cancer classification has traditionally been based on cell type or tissue-of-origin and the morphological characteristics of the cancer. However, interactive genomic analyses have currently reclassified cancers based on systemic molecular-based taxonomy. Although all cancer-causing genes and mechanisms have yet to be completely understood or identified, personalized or precision medicine is now currently possible for some forms of cancer. Unlike the "one-size-fits-all" approach of traditional medicine, precision medicine allows for customized or personalized treatment based on genomic information.

conclusionDespite the availability of numerous cancer gene panels, technological innovation in genomics and expansion of knowledge on the cancer genome will allow precision oncology to manage even more types of cancers.

Indexed as

GenomicsNeoplasmsPrecision MedicineDNA Copy Number VariationsHigh-Throughput Nucleotide SequencingHumansMedical OncologyMutationCancer genomicsCaner gene panelsNext-generation sequencingPersonalized medicinePrecision oncology

Identifiers

PMID39849190

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.