Evidence map›Paper›PMID 40148708›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2025

Pairwise analysis of plasma cell-free DNA before and after palliative second-line paclitaxel plus ramucirumab treatment in patients with metastatic gastric cancer.

Ji-Won Kim, Dong Soo Kyung, Won Yeong Ko, Hwang-Phill Kim, Sung-Hyun Hwang, Kui-Jin Kim, Ju Hyun Lee, Jeongmin Seo, Minsu Kang, Eun Hee Jung and 6 more

Abstract readConsensus Development Conference, NIHLegal Case
In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

16 authors.

Ji-Won KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam, 13620, Republic of Korea.
Dong Soo KyungIMBdx, Inc., 131 Gasandigital-1-Ro, Geumcheon-Gu, Seoul, 08506, Republic of Korea.
Won Yeong KoIMBdx, Inc., 131 Gasandigital-1-Ro, Geumcheon-Gu, Seoul, 08506, Republic of Korea.
Hwang-Phill KimIMBdx, Inc., 131 Gasandigital-1-Ro, Geumcheon-Gu, Seoul, 08506, Republic of Korea.
Sung-Hyun HwangBiomedical Research Institute, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam, 13620, Republic of Korea.
Kui-Jin KimBiomedical Research Institute, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam, 13620, Republic of Korea.
Ju Hyun LeeDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam, 13620, Republic of Korea.
Jeongmin SeoDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam, 13620, Republic of Korea.
Minsu KangDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam, 13620, Republic of Korea.
Eun Hee JungDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam, 13620, Republic of Korea.
Koung Jin SuhDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam, 13620, Republic of Korea.
Se Hyun KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam, 13620, Republic of Korea.
Jin Won KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam, 13620, Republic of Korea.
Yu Jung KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam, 13620, Republic of Korea.
Jee Hyun KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam, 13620, Republic of Korea.
Keun-Wook LeeDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam, 13620, Republic of Korea. hmodoctor@snubh.org.ORCID 0000-0002-8491-703X

Funding

Seoul National University Bundang Hospital 14-2024-0039
6 · The paper itself

Abstract

backgroundThis study compared plasma cell-free DNA (cfDNA) and tumor tissue DNA (ttDNA) to explore the clinical applicability of cfDNA in patients with metastatic gastric cancer (mGC) receiving palliative second-line paclitaxel + ramucirumab treatment.

methodsTargeted sequencing of 106 genes was conducted using germline DNA and cfDNA at baseline (baseline-cfDNA) and progressive disease (PD-cfDNA). The results were compared with those of ttDNA-based cancer panel data.

resultsOf 76 consecutive patients, 46 (27 males; median age 57.5 [range, 32-73] years) who had all three samples were included. Combined analysis of ttDNA and baseline-cfDNA revealed that TP53 (58.7%) was the most frequently mutated gene, followed by CDH1 (26.1%), KRAS (21.7%), and APC (13.0%). For these genes, the sensitivity and positive predictive value of baseline-cfDNA over ttDNA were 71.8% and 51.9%, respectively. When baseline-cfDNA and PD-cfDNA results were combined, 34 patients (73.9%) were found to have additional mutations compared with ttDNA results alone. PD-cfDNA analysis revealed 14 novel pathogenic mutations in ten patients (21.7%). At baseline, patients with a high circulating tumor DNA fraction concentration showed a significantly shorter progression-free survival (PFS) (P = 0.016) in univariable and multivariable analyses. High maximal variant allele frequency (VAF) (P = 0.022), high sum of VAF (P = 0.028), and high TP53 VAF (P = 0.022) were associated with worse PFS in univariable analysis.

conclusionsAlthough cfDNA alone cannot replace ttDNA entirely, cfDNA analysis revealed additional mutations. Notably, PD-cfDNA analysis revealed novel pathogenic mutations that emerged during treatment. Moreover, the baseline circulating tumor DNA fraction concentration and VAF values were associated with longer PFS.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNAStomach NeoplasmsAdultAgedAntibodies, Monoclonal, HumanizedFemaleFollow-Up StudiesHumansMaleMiddle AgedMutationPaclitaxelPalliative CareAntibodies, Monoclonal, HumanizedBiomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNAPaclitaxelRamucirumabAnti-cancer therapyCell-free DNACirculating tumor DNAClonal evolutionGastric cancer

Identifiers

PMID40148708
PMCPMC12174237

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