Evidence map›Paper›PMID 38053135›Full record

ArticleCancer & metabolism2023

Metabolic changes preceding bladder cancer occurrence among Korean men: a nested case-control study from the KCPS-II cohort.

Youngmin Han, Unchong Kim, Keum Ji Jung, Ji-Young Lee, Kwangbae Lee, Sang Yop Shin, Heejin Kimm, Sun Ha Jee

Open access · goldAbstract read
In one paragraph

Article in Cancer & metabolism, 2023. 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
0.3field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

8 authors at 3 institutions in 1 country.

Youngmin HanInstitute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, 03722, Republic of Korea.
Unchong KimInstitute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, 03722, Republic of Korea.
Keum Ji JungInstitute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, 03722, Republic of Korea.
Ji-Young LeeInstitute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, 03722, Republic of Korea.
Kwangbae LeeKorea Medical Institute, Seoul, Republic of Korea.
Sang Yop ShinKorea Medical Institute, Seoul, Republic of Korea.
Heejin KimmInstitute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, 03722, Republic of Korea.
Sun Ha JeeInstitute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, 03722, Republic of Korea. jsunha@yuhs.ac.
Yonsei University · KRKorea Health Promotion Institute · KRYonsei University Health System · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBladder cancer (BLCA) research in Koreans is still lacking, especially in focusing on the prediction of BLCA. The current study aimed to discover metabolic signatures related to BLCA onset and confirm its potential as a biomarker.

methodsWe designed two nested case-control studies using Korean Cancer Prevention Study (KCPS)-II. Only males aged 35-69 were randomly selected and divided into two sets by recruitment organizations [set 1, BLCA (n = 35) vs. control (n = 35); set 2, BLCA (n = 31) vs. control (n = 31)]. Baseline serum samples were analyzed by non-targeted metabolomics profiling, and OPLS-DA and network analysis were performed. Calculated genetic risk score (GRS) for BLCA from all KCPS participants was utilized for interpreting metabolomics data.

resultsCritical metabolic signatures shown in the BLCA group were dysregulation of lysine metabolism and tryptophan-indole metabolism. Furthermore, the prediction model consisting of metabolites (lysine, tryptophan, indole, indoleacrylic acid, and indoleacetaldehyde) reflecting these metabolic signatures showed mighty BLCA predictive power (AUC: 0.959 [0.929-0.989]). The results of metabolic differences between GRS-high and GRS-low groups in BLCA indicated that the pathogenesis of BLCA is associated with a genetic predisposition. Besides, the predictive ability for BLCA on the model using GRS and five significant metabolites was powerful (AUC: 0.990 [0.980-1.000]).

conclusionMetabolic signatures shown in the present research may be closely associated with BLCA pathogenesis. Metabolites involved in these could be predictive biomarkers for BLCA. It could be utilized for early diagnosis, prognostic diagnosis, and therapeutic targets for BLCA.

Indexed as

Bladder cancerGaussian graphical modelLC/MS metabolomicsLysine metabolismPredictive biomarkerTryptophan-indole metabolism

Identifiers

PMID38053135
PMCPMC10696702
OpenAlexW4389337620

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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.