Evidence map›Paper›PMID 42173681›Full record

ArticleLife science alliance2026

Development of K-CORE: a web-based platform for integrated clinico-genomic analysis.

Juyeon Hwang, Jae Woo Ahn, Jae Wook Lee, So-Youn Jung, Eun-Gyeong Lee, Heejung Chae, Harim Koo, Hyosoung Cha, Junetae Kim, Kwangmin Kim and 5 more

Abstract read
In one paragraph

Article in Life science alliance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Juyeon HwangNational Cancer Control Institute, National Cancer Center, Goyang, South Korea.ORCID 0009-0004-5571-2168
Jae Woo AhnNational Cancer Control Institute, National Cancer Center, Goyang, South Korea.
Jae Wook LeeNephrology Clinic, National Cancer Center, Goyang, South Korea.
So-Youn JungDepartment of Surgery, Center for Breast Cancer, Hospital, National Cancer Center, Goyang, South Korea.
Eun-Gyeong LeeDepartment of Surgery, Center for Breast Cancer, Hospital, National Cancer Center, Goyang, South Korea.
Heejung ChaeDepartment of Hematology and Medical Oncology, Comprehensive Cancer Center, Seoul National University Bundang Hospital, Seongnam, South Korea.
Harim KooDepartment of Medical Science Convergence, Graduate School of Medical Science, University of Ulsan, Ulsan, Republic of Korea.
Hyosoung ChaNational Cancer Control Institute, National Cancer Center, Goyang, South Korea.
Junetae KimDepartment of Public Health & AI, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, South Korea.
Kwangmin Kim3BIGS Co., Ltd., Hwaseong, South Korea.ORCID 0000-0003-3306-1021
Dongwoo LeeHancom Carelink Inc., Seoul, Republic of Korea.
Junhyung Park3BIGS Co., Ltd., Hwaseong, South Korea.
Sun-Young KongDepartment of Laboratory Medicine, National Cancer Center, Goyang, South Korea ksy@ncc.re.kr.ORCID 0000-0003-0620-4058
Kui Son ChoiNational Cancer Control Institute, National Cancer Center, Goyang, South Korea kschoi@ncc.re.kr.ORCID 0000-0001-5336-3874
Hyun-Jin KimNational Cancer Control Institute, National Cancer Center, Goyang, South Korea hyunjin@ncc.re.kr.ORCID 0000-0003-4160-4815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the key challenges in cancer treatment and precision oncology is the use of multi-omics data and their integration into matched clinical information. Although several analytical portals have been developed, most platforms do not support user-uploaded data or the integrated analysis of clinical and multi-omics datasets. To address these limitations, we developed the Korea Cancer Omics Research (K-CORE) portal, a user-friendly analytical platform designed to integrate and analyze multi-omics and clinical data. K-CORE supports various omics levels and a wide range of analytical tools. To validate the utility and reproducibility of the K-CORE, we designed synthetic datasets that reflected real-world omics data distributions. The analytical results from K-CORE were compared side by side with those from widely used R packages such as maftools and edgeR. In conclusion, K-CORE offers a practical and intuitive platform for the multidomain integration of clinical and omics data, supporting the advancement of precision oncology. Nevertheless, as analytical technologies and precision oncology continue to evolve, continuous maintenance and user feedback will become essential for future platform improvements.

Indexed as

Computational BiologyGenomicsNeoplasmsDashboard SystemsHumansInternetMultiomicsPrecision MedicineReproducibility of ResultsSoftware

Identifiers

PMID42173681
PMCPMC13197607

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.