Evidence map›Paper›PMID 42468944›Full record

ArticleJournal of the American Association for Laboratory Animal Science : JAALAS2026

Robust Scoring System to Evaluate Animal Well-Being in Murine (Mus musculus) Orthotopic Breast Cancer and Ovarian Cancer Models.

Ranya Al-Khaledy, Makiko Watanabe, Rebecca Shukla, Ladan Mashouri, Everett Stone, Mark Badeaux

Abstract read
In one paragraph

Article in Journal of the American Association for Laboratory Animal Science : JAALAS, 2026. 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

6 authors.

Ranya Al-KhaledyDepartment of Chemical Engineering, University of Texas at Austin, Austin, Texas.
Makiko WatanabeDepartment of Chemical Engineering, University of Texas at Austin, Austin, Texas.
Rebecca ShuklaAnimal Resources Center, University of Texas, Austin, Texas.
Ladan MashouriDepartment of Molecular Biosciences, University of Texas, Austin, Texas; and.
Everett StoneDepartment of Molecular Biosciences, University of Texas, Austin, Texas; and.
Mark BadeauxDepartment of Chemical Engineering, University of Texas at Austin, Austin, Texas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Orthotopic tumor models are critical to the development of new cancer therapies, as they have the greatest potential to mimic human cancer progression. However, such models are often underutilized due to practical challenges. These challenges include the need for specialized surgeries and the presence of complicating symptoms, such as ascites fluid accumulation in ovarian cancer and liver disease models, as well as ulceration of breast tumors growing in the mammary fat pad. An adaptable, quantitative animal health assessment system that employs simple, noninvasive visual measurements can enable researchers to realize the full potential of these models while safeguarding humane endpoints. The goal of this work was to establish health-scoring systems for translationally relevant ovarian (ID8-Defb29/Vegf-A) and breast cancer (triple-negative 4T1) models. We developed a tractable health assessment system by monitoring a combination of activity and responsiveness, hair coat condition, respiratory function, changes in body weight, posture, gait, tumor size (where measurable), and extent of ulceration, and scoring each parameter on a simple numerical scale. The scores at which euthanasia or other interventions were required were estimated and then adjusted based on clinical assessment by a team of researchers and veterinarians. These semiquantitative health-scoring systems were applied to survival experiments, in which mice were euthanized at a predetermined score or upon meeting a superseding health criterion, to confirm their applicability and effectiveness in maintaining humane endpoints. The scoring systems presented are intended to build on previously established generic tumor model scoring systems that do not account for the particular phenotypes present in orthotopic breast and ovarian cancer models.

Indexed as

ID8-DV, ID8Defb29 Vegf-A164 cellsNSAID, nonsteroidal anti-inflammatory drugPAAM, pulmonary assessment of advanced metastasis

Identifiers

PMID42468944
PMCPMC13641240

What Socratic 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 Socratic graph.