Evidence map›Paper›PMID 41492919›Full record

ArticleAnimal models and experimental medicine2026

The OtR tumor recurrence and metastasis model reveals doxorubicin-induced tumor shrinkage doesn't guarantee prolonged survival.

Lingli Luo, Ling Liu, Minyao Deng, Yong Jiang, Chuan Liu, Xiang Chen, Xiaoxi Li

Abstract read
In one paragraph

Article in Animal models and experimental medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

7 authors.

Lingli LuoDepartment of Infection Prevention and Control, Jiangxi Chest Hospital (Jiangxi Third People's Hospital), The Third Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Ling LiuDepartment of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China.
Minyao DengDepartment of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China.
Yong JiangDepartment of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China.
Chuan LiuDepartment of Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiang ChenDepartment of Thyroid Breast Surgery, The Affiliated Yixing Hospital, of Jiangsu University, Wuxi, Jiangsu, China.
Xiaoxi LiDepartment of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China.ORCID 0000-0001-5399-5628

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn preclinical research, tumor growth inhibition in subcutaneous models is frequently employed to evaluate therapeutic efficacy; however, such models often lack clinical translatability.

methodsTo better approximate clinical reality, taking the case of doxorubicin treatment, we utilized an orthotopic transplant and resection (OtR) strategy to systematically assess the effects of neoadjuvant chemotherapy, adjuvant chemotherapy, and their combination on tumor growth, recurrence, and malignant progression.

resultsSurprisingly, none of the treatments improved mouse survival, with adjuvant therapy even shortening it. Although neoadjuvant chemotherapy delayed preoperative tumor growth, and all regimens reduced recurrence rates, none effectively prevented metastasis. Furthermore, all treatment groups exhibited weight loss, indicative of chemotherapy-induced cachexia.

conclusionsCollectively, these findings demonstrate that reduced tumor growth in preclinical mouse models does not necessarily translate into overall survival benefit. Our results emphasize the critical importance of prioritizing metastasis prevention over tumor growth inhibition as a key efficacy endpoint in antitumor drug evaluation.

Indexed as

Antibiotics, AntineoplasticDoxorubicinNeoplasm Recurrence, LocalAnimalsCell Line, TumorChemotherapy, AdjuvantDisease Models, AnimalFemaleMiceMice, Inbred BALB CNeoadjuvant TherapyNeoplasm MetastasisAntibiotics, AntineoplasticDoxorubicinanimal modelspharmaceutical developmentsolid tumors

Identifiers

PMID41492919
PMCPMC12907986

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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.