ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
Circulating Amino Acid Network Remodeling Reveals Systemic Metabolic Reprogramming Predictive of Colorectal Cancer Recurrence and Metastasis.
Ji-Yeon Lee, Jumi Kim, Taehan Yoon, So Hyun Kwon, Su Chan Park, Dohyun Chun, Dohyeong Kim, Eun Jung Park, Hyunwoo Kim, Ji Min Lee
Abstract read
In one paragraphArticle in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
10 authors.
Ji-Yeon LeeGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Jumi KimDepartment of Chemistry, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Taehan YoonGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
So Hyun KwonGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Su Chan ParkGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Dohyun ChunDepartment of Chemistry, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Dohyeong KimDepartment of Chemistry, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Eun Jung ParkDivision of Colon and Rectal Surgery, Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Ji Min LeeGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Funding
Asan Institute for Life Sciences, Asan Medical CenterDepartment of Surgery, Asan Medical Center 2025IP0028Department of Surgery, Asan Medical Center 2025IP0041National Research Foundation of Korea 2024IF0030National Research Foundation of Korea RS-2022-NR069827National Research Foundation of Korea RS-2024-00407383National Research Foundation of Korea RS-2025-02303891National Research Foundation of Korea RS-2025-15782968National Research Foundation of Korea RS-2025-25436925Samsung Research Funding & Incubation Center of Samsung Electronics SRFC-MA2002-07
6 · The paper itselfAbstract
Characterizing the dynamics of systemic metabolic pathways during cancer progression could enable the development of prognostic tools and therapeutic strategies. However, achieving this goal requires analytical platforms optimized for liquid biospecimens together with interpretive frameworks capable of identifying robust serum-based biomarkers. Here, we establish a network-based metabolic profiling framework using
Indexed as
19F NMRcirculating amino acidscolorectal cancermetabolic alterationsprediction of progression risk
Identifiers
PMID42263249
PMCPMC13336814
What Socratic holds
Textmetadata
LicenceCC BY
Read underepoch 390