Evidence map›Paper›PMID 42403536›Full record

ArticleInternational journal of nanomedicine2026

Trastuzumab-Conjugated Nanoliposomes for Targeted Capecitabine Delivery to Suppress HER2-Positive Breast Tumor: Efficacy Analysis in NOD SCID Mice Xenografts.

Shubhashree Das, Bhabani Sankar Satapathy, Mohamed Rahamathulla, Yahya Alhamhoom, Sovan Pattanaik, Saurabh Chawla, Gurudutta Pattnaik, Diptirani Rath, Mohammed Muqtader Ahmed, Ismail Pasha

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

10 authors.

Shubhashree DasDepartment of Pharmaceutics, School of Pharmacy and Life Sciences, Centurion University of Technology and Management, Bhubaneswar, Odisha, India.ORCID 0000-0002-7747-3514
Bhabani Sankar SatapathyDepartment of Pharmaceutics, GITAM School of Pharmacy, GITAM Deemed to be University, Hyderabad, Telangana, India.
Mohamed RahamathullaDepartment of Pharmaceutics, College of Pharmacy, King Khalid University, Al Faraa, Abha, 62223, Saudi Arabia.ORCID 0000-0001-8826-3718
Yahya AlhamhoomDepartment of Pharmaceutics, College of Pharmacy, King Khalid University, Al Faraa, Abha, 62223, Saudi Arabia.ORCID 0000-0002-8368-9047
Sovan PattanaikDepartment of Pharmaceutical Chemistry, School of Pharmaceutical Sciences, Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, Odisha, India.
Saurabh ChawlaSchool of Biological Sciences, National Institute of Science Education and Research (NISER), Khurda, Odisha, India.
Gurudutta PattnaikDepartment of Pharmaceutics, School of Pharmacy and Life Sciences, Centurion University of Technology and Management, Bhubaneswar, Odisha, India.ORCID 0000-0002-3532-721X
Diptirani RathDepartment of Pharmacology, School of Pharmaceutical Sciences, Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, Odisha, India.
Mohammed Muqtader AhmedDepartment of Pharmaceutics, College of Pharmacy, Prince Sattam Bin Abdul Aziz University, Al Kharj, 11942, Saudi Arabia.
Ismail PashaDepartment of Pharmacology, Orotta College of Medicine and Health Science, Asmara, Eritrea.ORCID 0009-0005-2579-4032

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Treatment of advanced breast cancer has proven to be difficult. Routine chemotherapy has limitations due to unavoidable and dreaded adverse effects during and after treatment, necessitating the development of tailored therapies. Capecitabine is a commonly used anticancer drug that comes in tablet form for oral administration. However, high doses and frequent administration-related toxicities limit its efficacy in HER2-positive breast cancer patients. Methods: The current work seeks to target capecitabine using experimental nanoliposomes coupled to trastuzumab (TZ) (HER2-targeting monoclonal antibody) and assess anticancer activity in a NOD SCID mice xenograft model of breast cancer. Experimental capecitabine-loaded trastuzumab-nanoliposomes (TZ-CNLs) were developed by a previously reported method. FESEM, AFM, TEM, zeta potential, and drug release studies were used to characterize TZ-CNLs. In vivo effectiveness of CNLs/TZ-CNLs was carried out in experimental mice and compared with the free capecitabine-treated group. Hematological, biochemical, and histopathological analyses of experimental CNLs/TZ-CNLs were conducted across different treatment groups compared with the control. Results: Experimental TZ-CNLs were spherical, smooth, and uniformly distributed, with an average size (198.6 nm), a zeta potential (-27.91 mV), and a drug loading (9.6±0.51%). The AFM indicated that TZ conjugation had no effect on texture. TZ-CNLs released 81.5 ± 3.05% capecitabine after 96 h, compared to CNLs/free capecitabine. After 12 days of treatment, TZ-CNLs significantly reduced tumor development (97.91 ± 3.0 mm Conclusion: Overall, the promising preclinical outcomes, including tumor inhibition, improved hematologic and biochemical safety indices, and maintenance of organ histopathology, support the need for future preclinical investigations to determine whether TZ-CNLs may have application in HER2-positive breast cancer therapy.

Indexed as

Breast NeoplasmsCapecitabineErb-b2 Receptor Tyrosine KinasesLiposomesTrastuzumabAnimalsAntineoplastic AgentsCell Line, TumorFemaleHumansMiceMice, Inbred NODMice, SCIDXenograft Model Antitumor AssaysAntineoplastic AgentsCapecitabineErb-b2 Receptor Tyrosine KinasesLiposomesTrastuzumabbreast cancercapecitabinein vivo efficacynanoliposomesNOD SCID micetargeted drug deliverytrastuzumabxenograft

Identifiers

PMID42403536
PMCPMC13332772

What OpenQuestion holds

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Registered trials

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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.