Evidence map›Paper›PMID 26164152›Full record

ArticleAnti-cancer drugs2015

A better experimental method to detect the sensitivity of cancer cells to anticancer drugs after adenovirus-mediated introduction of two kinds of p53 in vivo.

Hui Wang, WeiYing Li, BaiTang Lai, XueHui Yang, ChunYan Zhang, JinZhao Li, YunZhong Zhu

Open access · hybridAbstract read
In one paragraph

Article in Anti-cancer drugs, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 99% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Hui WangaCell Biology Laboratory, Department of Cellular & Molecular Biology, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University bBiophysical Laboratory, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
WeiYing Li
BaiTang Lai
XueHui Yang
ChunYan Zhang
JinZhao Li
YunZhong Zhu
Beijing Chest Hospital · CNCapital Medical University · CNInstitute of Biophysics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

p53 plays an important role in drug responses by regulating cell cycle progression and inducing programmed cell death. The C-terminal of p53 self-regulates the protein negatively; however, whether it affects the sensitivity of cancer cells to anticancer drugs is unclear. In this study, two experimental methods were used to compare the sensitivity to anticancer drugs of human lung 801D cancer cells transfected with adenovirus bearing either full-length p53 or the deleted-C-terminal p53 in vivo. Adenovirus-mediated deliveries of full-length or deleted-C-terminal p53 were performed after development of tumors (the first method) or by infection into cells before xenotransplantation (the second method). The results showed that infection with the deleted-C-terminal p53 increased 801D cell sensitivity to anticancer drugs in the second, but not in the first method, as indicated by greater tumor-inhibition rates. In addition, compared with the first method, the second method resulted in viruses with more uniformly infected cells and the infection rates between groups were similar. This yielded smaller within-group variations and greater uniformity among transplanted tumors. The second method could circumvent the difficulties associated with intratumoral injection.

Indexed as

AdenoviridaeAnimalsAntineoplastic AgentsCell Line, TumorCisplatinFemaleHeterograftsHumansLung NeoplasmsMice, Inbred BALB CMice, NudeNeoplasm TransplantationPaclitaxelTumor Suppressor Protein p53Antineoplastic AgentsCisplatinPaclitaxelTumor Suppressor Protein p53

Identifiers

PMID26164152
PMCPMC4521903
OpenAlexW876516943

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.