Evidence map›Paper›PMID 37031172›Full record

ReviewJournal of hematology & oncology2023

The functional and clinical roles of liquid biopsy in patient-derived models.

Ziqing Zhu, Erya Hu, Hong Shen, Jun Tan, Shan Zeng

Abstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Organoid technology in cancer research.Molecular biomedicine · 2026
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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

5 authors.

Ziqing Zhu *Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Erya Hu *Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Hong ShenDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Jun TanNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China. tanjunsea@csu.edu.cn.
Shan ZengDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China. zengshan2000@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The liquid biopsy includes the detection of circulating tumor cells (CTCs) and CTC clusters in blood, as well as the detection of, cell-free DNA (cfDNA)/circulating tumor DNA (ctDNA) and extracellular vesicles (EVs) in the patient's body fluid. Liquid biopsy has important roles in translational research. But its clinical utility is still under investigation. Newly emerged patient-derived xenograft (PDX) and CTC-derived xenograft (CDX) faithfully recapitulate the genetic and morphological features of the donor patients' tumor and patient-derived organoid (PDO) can mostly mimic tumor growth, tumor microenvironment and its response to drugs. In this review, we describe how the development of these patient-derived models has assisted the studies of CTCs and CTC clusters in terms of tumor biological behavior exploration, genomic analysis, and drug testing, with the help of the latest technology. We then summarize the studies of EVs and cfDNA/ctDNA in PDX and PDO models in early cancer diagnosis, tumor burden monitoring, drug test and response monitoring, and molecular profiling. The challenges faced and future perspectives of research related to liquid biopsy using patient-derived models are also discussed.

Indexed as

Cell-Free Nucleic AcidsNeoplastic Cells, CirculatingBiomarkers, TumorGenomicsHumansLiquid BiopsyTumor MicroenvironmentBiomarkers, TumorCell-Free Nucleic AcidsLiquid biopsyPatient-derived organoidPatient-derived xenograft

Identifiers

PMID37031172
PMCPMC10082989

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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.