Evidence map›Paper›PMID 20960164›Full record

ArticleEndocrine2010

Anti-tumor effects of adenovirus containing human growth hormone sequences in a mouse model of human ovarian cancer.

Yonglian Zhu, José B Fariña, Syrus Meshack, Ana Santoveña, Shilpa Patel, Alexis Oliva, Matias Llabrés, Michael E Hodsdon, Carmen J Booth, Priscilla S Dannies

Abstract read
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In one paragraph

Article in Endocrine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

10 authors at 2 institutions in 2 countries.

Yonglian ZhuDepartment of Pharmacology, Yale School of Medicine, New Haven, CT, USA.
José B Fariña
Syrus Meshack
Ana Santoveña
Shilpa Patel
Alexis Oliva
Matias Llabrés
Michael E Hodsdon
Carmen J Booth
Priscilla S Dannies
Yale University · USUniversidad de La Laguna · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women with ovarian cancer have a low survival rate and develop resistance to chemotherapy, so new approaches to treatment are needed. We unexpectedly found administration of a replication-deficient adenovirus containing human growth hormone sequences (AdXGH) was beneficial in a mouse model of human ovarian cancer. Intraperitoneal injections of AdXGH prolonged median survival from a mean of 31 ± 1.2 to 40 ± 1.4 days in immunodeficient SCID mice given SKOV3.ip1 human ovarian cancer cells in the peritoneal cavity. Adenovirus containing human prolactin or del32-71growth hormone sequences had no effect. Repeated injection of growth hormone or implantation of tablets with sustained growth hormone release did not increase survival. Control mice had overlapping tumors throughout the peritoneal cavity and liver and frequent lung metastases 24 days after tumor cell injection. Mice that received two injections of AdXGH had no lung metastases. Mice that received four injections had no lung or liver metastases and peritoneal fibrosis. They did not survive longer than mice that received two injections, but they had enlarged livers with hepatocellular changes, indicating that a limitation of increasing the dose is liver toxicity.

Indexed as

AdenoviridaeAnimalsAntineoplastic AgentsBase SequenceCarboplatinCombined Modality TherapyDisease Models, AnimalFemaleHuman Growth HormoneHumansInjections, IntraperitonealMiceMice, SCIDOvarian NeoplasmsPaclitaxelAntineoplastic AgentsCarboplatinHuman Growth HormonePaclitaxel

Identifiers

PMID20960164
OpenAlexW1975176770

What OpenQuestion holds

Textmetadata
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.