Evidence map›Paper›PMID 41171289›Full record

ArticleDatabase : the journal of biological databases and curation2025

Liposomal Cancer Drug Database (LCDD): a comprehensive resource for liposome research in cancer therapy and diagnosis.

Marziyeh Mousazadeh, Babak Khorsand, Sayed Mostafa Modarres Mousavi, Hooman Mahmoudi Aznaveh, Mohamad Hassan Fouani, Faezeh Mousazadeh, Mehrnaz Rad-Faraji, Arezoo Golestanipour, Soheila Mohammadi, Fateme Zarein and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Database : the journal of biological databases and curation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Marziyeh MousazadehDepartment of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Jalal Al Ahmad Highway, Tehran, 14115-154, Iran.
Babak KhorsandDepartment of Neurology, University of California, Manchester Avenue, Irvine, CA 92617, United States.
Sayed Mostafa Modarres MousaviDepartment of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Jalal Al Ahmad Highway, Tehran, 14115-154, Iran.
Hooman Mahmoudi AznavehDepartment of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Jalal Al Ahmad Highway, Tehran, 14115-154, Iran.
Mohamad Hassan FouaniDepartment of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Jalal Al Ahmad Highway, Tehran, 14115-154, Iran.
Faezeh MousazadehDepartment of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Jalal Al Ahmad Highway, Tehran, 14115-154, Iran.
Mehrnaz Rad-FarajiDepartment of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Jalal Al Ahmad Highway, Tehran, 14115-154, Iran.
Arezoo GolestanipourDepartment of Plant Biotechnology, Faculty of Agricultural Sciences, University of Guilan, Persian Gulf Highway, Rasht, 41996-13776, Iran.
Soheila MohammadiNano Drug Delivery Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Abrisham Avenue, Kermanshah, 6714415153, Iran.
Fateme ZareinDepartment of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Jalal Al Ahmad Highway, Tehran, 14115-154, Iran.
Alireza DantismDepartment of Biophysics, Faculty of Biological Sciences, Tarbiat Modares University, Jalal Al Ahmad Highway, Tehran, 14115-154, Iran.
Javad ZahiriAutism Center of Excellence, Department of Neurosciences, University of California, San Diego, 9500 Gilman, La Jolla, CA 92037, United States.
Maryam NikkhahDepartment of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Jalal Al Ahmad Highway, Tehran, 14115-154, Iran.ORCID 0000-0003-0744-2699

Funding

Tarbiat Modares University
6 · The paper itself

Abstract

The Liposomal Cancer Drug Database (LCDD) is a comprehensive web-based resource that provides an extensive overview of liposome-based formulations used in cancer therapy and diagnostics. LCDD compiles data from about 4500 research articles, categorizing information into 14 key attributes for each research article such as type of cancer, liposome size, type of experiments, cell line type, in vivo animals, liposome function, and type of cargo. The database is built on direct literature investigations and serves as a critical tool for researchers developing liposome-based cancer therapeutic drugs, diagnostic platforms, or theragnostic solutions. LCDD is available for noncommercial purposes as a free database at https://bioinformaticscollege.ir/lcdd/.

Indexed as

Antineoplastic AgentsDatabases, FactualDatabases, PharmaceuticalLiposomesNeoplasmsAnimalsHumansInternetAntineoplastic AgentsLiposomes

Identifiers

PMID41171289
PMCPMC12576787

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.