Evidence map›Paper›PMID 20046965›Full record

ReviewImmunotherapy2009

Monoclonal antibodies in the treatment of pancreatic cancer.

Zhi-Qiang Huang, Donald J Buchsbaum

Abstract readReview
In one paragraph

Review in Immunotherapy, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

20 citing papers in PubMed, 39 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

2 authors at 1 institution in 1 country.

Zhi-Qiang HuangDepartment of Radiation Oncology, Division of Radiation Biology, 1530 3rd Avenue South, WTI 674 Birmingham, AL 35294-6832, USA.
Donald J Buchsbaum
University of Alabama at Birmingham · US

Funding

Virus adjunctive therapies for pancreatic cancerP20CA101955 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BUCHSBAUM, DONALD J. · 2003 to 2007
$4.6M
NCI NIH HHS P20 CA10195NCI NIH HHS P20 CA101955
6 · The paper itself

Abstract

Human pancreatic cancer is a malignant disease with almost equal incidence and mortality. Effective diagnostic and therapeutic strategies are still urgently needed to improve its survival rate. With advances in structural and functional genomics, recent work has focused on targeted molecular therapy using monoclonal antibodies. This review summarizes the target molecules on the tumor cell surface and normal tissue stroma, which are related to pancreatic cancer oncogenesis, tumor growth or resistance to chemotherapy, as well as molecules involved in regulating inflammation and host immunoresponses. Targeted molecules include cell-surface receptors, such as the EGF receptor, HER2, death receptor 5 and IGF-1 receptor. Effects of monoclonal antibodies against these target molecules alone or in combination with chemotherapy, small-molecule signal transduction inhibitors, or radiation therapy are also discussed. Also discussed are the use of toxin or radioisotope conjugates, and information relating to the use of these targeting agents in pancreatic cancer clinical trials. Although targeted molecular therapy with monoclonal antibodies has made some progress in pancreatic cancer treatment, especially in preclinical studies, its clinical application to improve the survival rate of pancreatic cancer patients requires further investigation.

Indexed as

ImmunotherapyAnimalsAntibodies, MonoclonalAntigens, NeoplasmClinical Trials as TopicDrug Therapy, CombinationHumansImmunotoxinsPancreatic NeoplasmsAntibodies, MonoclonalAntigens, NeoplasmImmunotoxinscancer therapyimmunotherapymonoclonal antibodypancreatic cancer

Identifiers

PMID20046965
PMCPMC2747759
OpenAlexW1701884161

What OpenQuestion holds

Textmetadata
LicenceTDM
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.