Evidence map›Paper›PMID 25753476›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015

Interpretation of immunohistochemistry data of tumor should consider microenvironmental factors.

Huan Bian, Shuai Zhang, Huanhuan Wu, Yixiang Wang

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Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 95% 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Huan BianDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, China.
Shuai Zhang
Huanhuan Wu
Yixiang Wang
Peking University · CNKing University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influence of tumor surrounding microenvironment is often neglected when immunohistochemistry is performed to investigate tumor properties and search biomarkers of cancer. This study was designed to evaluate whether the influence of tumor microenvironment on biological features of tumor cells should be taken into account for interpretation of the immunohistochemistry data of tumor specimens. In this study, we showed an example by using three tumor cell lines (HeLa, WSU-HN6, and Tca83) to establish tumor-caused bone destruction models in nude mice and then to investigate the influence of bone marrow microenvironment (BMM) on biological features of tumor cells. Immunohistochemistry results showed that, compared with tumor cells located outside of BMM, tumor cells located inside of BMM presented huge differences in the expression of inflammation-related proteins including tumor necrosis factor-α (TNF-α), TNF receptor-associated factor protein-6 (TRAF-6), phosphorylated-NF-κB p65 (p-p65), interleukin (IL)-6 and IL-11, matrix metalloproteinases including MMP-1, MMP-2, MMP-9, and MMP-13; and osteogenesis-related proteins including runt-related transcription factor 2 (RUNX2), bone sialoprotein (BSP), and osteocalcin (OCN) in all the models. However, when we compared the cell line pair derived from different sites (outside and inside of BMM, respectively) of the same HeLa tumor sample by real-time PCR, Western blot, and immunocytochemistry, the differences aforementioned in tumor tissues were not found. In addition, we verified that normal human bone marrow could not cause the above changes detected in vivo. Our results suggested that tumor-modified microenvironment could give the new biological features of the invaded tumor cells. Therefore, we should consider the influence of the surrounding microenvironment on tumor cells when we analyze tumor properties using immunohistochemistry.

Indexed as

AnimalsBone Marrow CellsGene Expression Regulation, NeoplasticHeLa CellsHumansImmunohistochemistryMiceNeoplasm ProteinsNeoplasmsOsteogenesisTumor MicroenvironmentNeoplasm Proteins

Identifiers

PMID25753476
OpenAlexW2059041159

What OpenQuestion holds

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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.