Evidence map›Paper›PMID 28945304›Full record

ArticleCancer science2017

Characterization of ascites-derived tumor cells from an endometrial cancer patient.

Xuelu Li, Dandan Zhu, Ning Li, Hui Yang, Zuowei Zhao, Man Li

Open access · goldAbstract readCase Reports
In one paragraph

Article in Cancer science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Xuelu LiDepartment of Breast Surgery and Oncology, The Second Hospital of Dalian Medical University, Dalian, China.
Dandan ZhuDepartment of Critical Care Medicine, The Second Hospital of Dalian Medical University, Dalian, China.
Ning LiDepartment of Foreign Language, Dalian Medical University, Dalian, China.
Hui YangDepartment of Foreign Language, Dalian Medical University, Dalian, China.
Zuowei ZhaoDepartment of Breast Surgery and Oncology, The Second Hospital of Dalian Medical University, Dalian, China.ORCID http://orcid.org/0000-0002-2569-3822
Man LiDepartment of Breast Surgery and Oncology, The Second Hospital of Dalian Medical University, Dalian, China.
Dalian Medical University · CNDalian University of Foreign Languages · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improved treatment outcomes for the endometrial cancer patient requires precision methods to investigate the biology of this disease and clinically relevant models to test treatment drugs. Hence, we applied a personalized platform to investigate whether in vitro and in vivo models could accurately predict effective treatment regimens. We successfully expanded ascites-derived tumor cells from an endometrial cancer patient with malignant ascites using ascites collected prior to chemotherapy treatment. Hematoxylin-eosin and immunohistochemistry staining of ascites-derived tumor cells confirmed the source of endometrial cancer cells. Ascites-derived tumor cells were sensitive to cisplatin and doxorubicin single-agent treatments in CCK-8 assay and 3-D culture, a condition that more closely mimics the in vivo environment. We further showed that ascites-derived tumor cells from this patient could form tumors in NOD/SCID mice with preserved morphological characteristics. A remarkable concordance between the clinical response of cisplatin and the results of in vitro and in vivo drug tests reflected the reliability of our personalized approach in this case. Together, our results indicated that an effective platform for ex vivo and in vivo culture of ascites-derived tumor cells from our endometrial cancer patient could be applied to identify treatment options, and may be commonly used in treating cancer patients with malignant ascites in the future.

Indexed as

AdenocarcinomaAnimalsAntineoplastic AgentsAscitic FluidBreast NeoplasmsCarcinoma, Ductal, BreastEndometrial NeoplasmsFemaleHumansMiceMice, Inbred NODMice, SCIDMiddle AgedPrecision MedicineTumor Cells, CulturedXenograft Model Antitumor AssaysAntineoplastic AgentsAscitesdrug sensitivity testendometrial cancerex vivo culturepatient-derived xenograft model

Identifiers

PMID28945304
PMCPMC5715242
OpenAlexW2757236955

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.