Evidence map›Paper›PMID 26647736›Full record

ArticleMolecular medicine reports2016

Establishment of a dual-color fluorescence tracing orthotopic transplantation model of hepatocellular carcinoma.

Qian Chen, Xiaoping Wang, Hao Wu, Hui Wang, Mingao Zhu, Roushu Wang, Ying Wu, Luyao Zhang, Qiao Meng, Ranran Song and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Polyploidy and Senescence of Cancer Cells: Impact of Cell Fusion.Advances in experimental medicine and biology · 2026
    Review
  2. International journal of stem cells · 2023
    Review
  3. Article
  4. Article
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 2 institutions in 1 country.

Qian ChenDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China.
Xiaoping WangDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China.
Hao WuDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China.
Hui WangDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China.
Mingao ZhuDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China.
Roushu WangDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China.
Ying WuDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China.
Luyao ZhangDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China.
Qiao MengDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China.
Ranran SongDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China.
Zhixiang ZhuangDepartment of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China.
Qiang HuangDepartment of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, P.R. China.
Second Affiliated Hospital of Soochow University · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different experimental models of hepatocellular carcinoma (HCC) have been used to investigate the biological mechanisms of hepatocarcinogenesis and its progression. However, previous studies have highlighted the difficulty of distinguishing between the tumor cells and stroma in experimental models of HCC. Therefore the aim of the present study was to establish a red‑green dual‑color fluorescence tracing orthotopic transplantation model of HCC, and investigate its practical values. Stable high red fluorescent protein (RFP)‑expressing HepG2 human hepatoma cells and Hepa1‑6 mice hepatoma cells were injected into the right liver lobe of green fluorescent protein‑expressing nude mice. The growth and metastasis of the tumors were visualized using a whole‑body in vivo fluorescence imaging system in real time. HCC tissues were extracted from tumor‑bearing mice, and cut into 5‑µm serial frozen slices. The organizational structure of the transplanted tumors was observed under a microscope. A dual‑color fluorescence tracing orthotopic transplantation tumor model of HCC was successfully established with a success rate of 100%. The growth and metastasis of the tumors were visualized at each stage of development in the tumor‑bearing mice. Tumor cells with red fluorescence and host cells with green fluorescence were identified to merge in the reconstruction region of tumor tissue. The invasion, migration, and cell fusion between tumor and host cells was observed clearly. The dual‑color fluorescence tracing orthotopic transplantation model of HCC was determined to be a stable and reliable method for tracking tumor progression. Mutual interactions between hepatoma cells and host tissues may be observed directly using this model, further elucidating the development of the tumor microenvironment.

Indexed as

AnimalsAutopsyCarcinoma, HepatocellularCell MovementDisease Models, AnimalFluorescenceGreen Fluorescent ProteinsHep G2 CellsHumansLiver NeoplasmsMice, Inbred C57BLMice, NudeMice, TransgenicNeoplasm InvasivenessNeoplasm TransplantationStaining and LabelingGreen Fluorescent Proteins

Identifiers

PMID26647736
PMCPMC4686090
OpenAlexW2183579453

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.