Evidence map›Paper›PMID 34179717›Full record

ReviewAnimal models and experimental medicine2021

Cancer models in preclinical research: A chronicle review of advancement in effective cancer research.

Humna Sajjad, Saiqa Imtiaz, Tayyaba Noor, Yusra Hasan Siddiqui, Anila Sajjad, Muhammad Zia

Open access · diamondAbstract readReview
In one paragraph

Review in Animal models and experimental medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 4 pooled it
8.4field-weighted citation impact, top 1% 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

83 citing papers in PubMed, 4 syntheses or guidelines pooled it, 154 citations in OpenAlex.

  1. Pooled it
  2. Analysis of multi-drug cancer nanomedicine.Nature nanotechnology · 2025
    Pooled it
  3. Pooled it
  4. Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review.International journal of molecular sciences · 2021
    Pooled it
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23 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Humna SajjadDepartment of Biotechnology Quaid-i-Azam University Islamabad Pakistan.
Saiqa ImtiazDepartment of Biotechnology Quaid-i-Azam University Islamabad Pakistan.
Tayyaba NoorDepartment of Biotechnology Quaid-i-Azam University Islamabad Pakistan.
Yusra Hasan SiddiquiDepartment of Biotechnology Quaid-i-Azam University Islamabad Pakistan.
Anila SajjadDepartment of Biotechnology Quaid-i-Azam University Islamabad Pakistan.
Muhammad ZiaDepartment of Biotechnology Quaid-i-Azam University Islamabad Pakistan.ORCID 0000-0002-4878-6810
Quaid-i-Azam University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a major stress for public well-being and is the most dreadful disease. The models used in the discovery of cancer treatment are continuously changing and extending toward advanced preclinical studies. Cancer models are either naturally existing or artificially prepared experimental systems that show similar features with human tumors though the heterogeneous nature of the tumor is very familiar. The choice of the most fitting model to best reflect the given tumor system is one of the real difficulties for cancer examination. Therefore, vast studies have been conducted on the cancer models for developing a better understanding of cancer invasion, progression, and early detection. These models give an insight into cancer etiology, molecular basis, host tumor interaction, the role of microenvironment, and tumor heterogeneity in tumor metastasis. These models are also used to predict novel cancer markers, targeted therapies, and are extremely helpful in drug development. In this review, the potential of cancer models to be used as a platform for drug screening and therapeutic discoveries are highlighted. Although none of the cancer models is regarded as ideal because each is associated with essential caveats that restraint its application yet by bridging the gap between preliminary cancer research and translational medicine. However, they promise a brighter future for cancer treatment.

Indexed as

NeoplasmsDrug Evaluation, PreclinicalHumansTranslational Research, BiomedicalTumor Microenvironmentcancer cell linescomputational cancer modelsgenetically engineered mouse modelsorganoidspatient‐derived xenograftspersonalized medicine

Identifiers

PMID34179717
PMCPMC8212826
OpenAlexW3146043393

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.