Evidence map›Paper›PMID 32532289›Full record

ArticleJournal of translational medicine2020

A novel patient-derived organoids-based xenografts model for preclinical drug response testing in patients with colorectal liver metastases.

Mi Jian, Li Ren, Guodong He, Qi Lin, Wentao Tang, Yijiao Chen, Jingwen Chen, Tianyu Liu, Meiling Ji, Ye Wei and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 84 citations in OpenAlex.

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  10. Experimental models for cancer brain metastasis.Cancer pathogenesis and therapy · 2024
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  11. Spheroids and organoids derived from colorectal cancer as tools forExploration of targeted anti-tumor therapy · 2024
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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

12 authors at 1 institution in 1 country.

Mi JianDepartment of General Surgery, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200030, China.ORCID 0000-0001-8851-0811
Li RenDepartment of General Surgery, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200030, China.
Guodong HeDepartment of General Surgery, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200030, China.
Qi LinDepartment of General Surgery, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200030, China.
Wentao TangDepartment of General Surgery, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200030, China.
Yijiao ChenDepartment of General Surgery, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200030, China.
Jingwen ChenDepartment of General Surgery, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200030, China.
Tianyu LiuDepartment of General Surgery, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200030, China.
Meiling JiDepartment of General Surgery, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200030, China.
Ye WeiDepartment of General Surgery, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200030, China.
Wenju ChangDepartment of General Surgery, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200030, China. chang_erich@hotmail.com.
Jianmin XuDepartment of General Surgery, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200030, China. xujmin@aliyun.com.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundsCancer-related mortality in patients with colorectal cancer (CRC) is predominantly caused by development of colorectal liver metastases (CLMs). How to screen the sensitive chemotherapy and targeted therapy is the key element to improve the prognosis of CLMs patients. The study aims to develop patient-derived organoids-based xenografted liver metastases (PDOX-LM) model of CRC, to recapitulate the clinical drug response.

methodsWe transplanted human CRC primary tumor derived organoids in murine spleen to obtain xenografted liver metastases in murine liver. Immunohistochemistry (IHC) staining, whole-exome and RNA sequencing, and drug response testing were utilized to identify the homogeneity in biological and genetic characteristics, and drug response between the PDOX-LM models and donor liver metastases.

resultsWe successfully established PDOX-LM models from patients with CLMs. IHC staining showed that positive expression of CEA, Ki67, VEGF, FGFR2 in donor liver metastases were also well preserved in matched xenografted liver metastases. Whole-exon sequencing and transcriptome analysis showed that both xenografted and donor liver metastases were highly concordant in somatic variants (≥ 0.90 frequency of concordance) and co-expression of driver genes (Pearson's correlation coefficient reach up to 0.99, P = 0.001). Furthermore, drug response testing showed that the PDOX-LM models can closely recapitulated the clinical response to mFOLFOX6 regiments.

conclusionsThis PDOX-LM model provides a more convenient and informative platform for preclinical testing of individual tumors by retaining the histologic and genetic features of donor liver metastases. This technology holds great promise to predict treatment sensitivity for patients with CLMs undergoing chemotherapy.

Indexed as

Colorectal NeoplasmsLiver NeoplasmsLiver TransplantationPharmaceutical PreparationsAnimalsHeterograftsHumansLiving DonorsMiceOrganoidsPharmaceutical PreparationsAnimal modelColorectal cancerLiver metastasesOrganoids

Identifiers

PMID32532289
PMCPMC7291745
OpenAlexW3035631279

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.