Evidence map›Paper›PMID 38726508›Full record

ArticleCancer research and treatment2024

Evaluation of Molecular Residual Disease by a Fixed Panel in Resectable Colorectal Cancer.

Jian Yang, Chengqing Yu, Haoran Li, Di Peng, Qiaoxia Zhou, Jun Yao, Juan Lv, Shuai Fang, Jiaochun Shi, Yijun Wei and 5 more

Abstract read
In one paragraph

Article in Cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. 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

15 authors.

Jian YangDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, China.
Chengqing YuDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, China.
Haoran LiDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, China.
Di PengBurning Rock Biotech, Guangdong, China.
Qiaoxia ZhouBurning Rock Biotech, Guangdong, China.
Jun YaoDepartment of General Surgery, The Dushu Lake Hospital Affiliated to Soochow University, Jiangsu, China.
Juan LvBurning Rock Biotech, Guangdong, China.
Shuai FangBurning Rock Biotech, Guangdong, China.
Jiaochun ShiBurning Rock Biotech, Guangdong, China.
Yijun WeiDepartment of General Surgery, The Dushu Lake Hospital Affiliated to Soochow University, Jiangsu, China.
Guoqiang WangBurning Rock Biotech, Guangdong, China.
Shangli CaiBurning Rock Biotech, Guangdong, China.
Zhihong ZhangBurning Rock Biotech, Guangdong, China.
Zixiang ZhangDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, China.
Jian ZhouDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Jiangsu, China.

Funding

Project of Extracurricular Academic Research of Soochow University KY2022132AProject of Extracurricular Academic Research of Soochow University KY2023104AProject of Medical Applied and Basic Research Foundation of Suzhou Science & Technology Bureau SKY2023156Project of the First Hospital of Soochow University Natural Science Foundation Incubation Programme for Doctoral Trainees BXQN202218Soochow University GZK12023037Suzhou Science and Technology Bureau medical health technology innovation project SKYD2022106
6 · The paper itself

Abstract

purposeMolecular residual disease (MRD) is a promising biomarker in colorectal cancer (CRC) for prognosis and guiding treatment, while the whole-exome sequencing (WES) based tumor-informed assay is standard for evaluating MRD based on circulating tumor DNA (ctDNA). In this study, we assessed the feasibility of a fixed-panel for evaluating MRD in CRC. MATERIALS AND

methodsSeventy-five patients with resectable stage I-III CRC were enrolled. Tumor tissues obtained by surgery, and preoperative and postoperative day 7 blood samples were collected. The ctDNA was evaluated using the tumor-agnostic and tumor-informed fixed assays, as well as the WES-based and panel-based personalized assays in randomly selected patients.

resultsThe tumor-informed fixed assay had a higher preoperative positive rate than the tumor-agnostic assay (73.3% vs. 57.3%). The preoperative ctDNA status failed to predict disease-free survival (DFS) in either of the fixed assays, while the tumor-informed fixed assay-determined postoperative ctDNA positivity was significantly associated with worse DFS (hazard ratio [HR], 20.74; 95% confidence interval [CI], 7.19 to 59.83; p < 0.001), which was an independent predictor by multivariable analysis (HR, 28.57; 95% CI, 7.10 to 114.9; p < 0.001). Sub-cohort analysis indicated the WES-based personalized assay had the highest preoperative positive rate (95.1%). The two personalized assays and the tumor-informed fixed assay demonstrated same results in postoperative landmark (HR, 26.34; 95% CI, 6.01 to 115.57; p < 0.001), outperforming the tumor-agnostic fixed panel (HR, 3.04; 95% CI, 0.94 to 9.89; p=0.052).

conclusionOur study confirmed the prognostic value of the ctDNA positivity at postoperative day 7 by the tumor-informed fixed panel. The tumor-informed fixed panel may be a cost-effective method to evaluate MRD, which warrants further studies in future.

Indexed as

Biomarkers, TumorCirculating Tumor DNAColorectal NeoplasmsNeoplasm, ResidualAdultAgedAged, 80 and overExome SequencingFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisBiomarkers, TumorCirculating Tumor DNACirculating tumor DNAFixed panelHigh-throughput nucleotide sequencingMolecular residual diseasePersonalized panelTumor-agnosticTumor-informed

Identifiers

PMID38726508
PMCPMC11491239

What OpenQuestion holds

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LicenceCC BY-NC
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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.