Evidence map›Paper›PMID 41851421›Full record

ArticleCommunications medicine2026

Surface-engineered dual drug-loaded tumor-targeted liposomal nanoparticles to overcome the therapeutic resistance in glioblastoma multiforme.

Ramcharan Singh Angom, Hari Krishnareddy Rachamala, Naga Malleswara Rao Nakka, Vijay Sagar Madamsetty, Paola Suarez-Meade, Beatriz I Fernandez-Gil, Tanmay Kulkarni, Raegan M Weil, Shamit Dutta, Enfeng Wang and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Ramcharan Singh Angom *Department of Biochemistry and Molecular Biology, and Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0002-5894-1108
Hari Krishnareddy Rachamala *Department of Biochemistry and Molecular Biology, and Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA.
Naga Malleswara Rao NakkaDepartment of Biochemistry and Molecular Biology, and Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA.
Vijay Sagar MadamsettyDepartment of Biochemistry and Molecular Biology, and Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA.
Paola Suarez-MeadeDepartment of Neurosurgery, Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA.
Beatriz I Fernandez-GilDepartment of Neurosurgery, Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA.
Tanmay KulkarniDepartment of Biochemistry and Molecular Biology, and Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA.
Raegan M WeilDepartment of Neurosurgery, Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA.
Shamit DuttaDepartment of Biochemistry and Molecular Biology, and Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA.
Enfeng WangDepartment of Biochemistry and Molecular Biology, and Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA.
Santanu BhattacharyaDepartment of Biochemistry and Molecular Biology, and Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA.
Krishnendu PalDepartment of Biochemistry and Molecular Biology, and Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0002-4006-213X
Alfredo Quinones-HinojosaDepartment of Neurosurgery, Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0003-4262-5968
Debabrata MukhopadhyayDepartment of Biochemistry and Molecular Biology, and Mayo Clinic College of Medicine and Sciences, Jacksonville, FL, USA. Mukhopadhyay.debabrata@mayo.edu.ORCID http://orcid.org/0000-0003-1858-5054

Funding

Targeting Pancreatic Cancer Using Peptide Chemistry: From Bench to BedsideR01CA150190 · NCI · MAYO CLINIC ROCHESTER · PI MIERKE, DALE F, MUKHOPADHYAY, DEBABRATA · 2010 to 2021
$5.7M
Regulatory Pathways and Role of VPF/VEGF in Renal CancerR01CA078383 · NCI · MAYO CLINIC ROCHESTER · PI MUKHOPADHYAY, DEBABRATA · 2004 to 2019
$4.5M
Distinct Pathways of VPF/VEGF ReceptorsR01HL140411 · NHLBI · MAYO CLINIC JACKSONVILLE · PI DEBABRATA MUKHOPADHYAY · 2018 to 2026
$4.0M
Tumor targeted drug delivery nanoplatform to overcome therapy resistance glioblastomaR01NS129671 · NINDS · MAYO CLINIC JACKSONVILLE · PI DEBABRATA MUKHOPADHYAY · 2023 to 2026
$2.4M
Self-Assembling Camptothecin Nanofiber Hydrogels as Adjunct Therapy for Intraoperative Treatment of Malignant GliomaR01CA284268 · NCI · JOHNS HOPKINS UNIVERSITY · PI Kaisorn Lee Chaichana, Honggang Cui · 2023 to 2026
$2.1M
A Bioprinted Volumetric Model of Vascularized GlioblastomaR01CA282451 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI Kaisorn Lee Chaichana, Y. Shrike Zhang · 2023 to 2026
$1.7M
Restoring immune-vascular axis integrity to alleviate acute lung injury in sepsisR56HL160545 · NHLBI · MAYO CLINIC JACKSONVILLE · PI PAL, KRISHNENDU · 2022 to 2022
$391k
REGULATORY PATHWAYS AND ROLE OF VPF/VEGF IN RENAL CANCERR29CA078383 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI MUKHOPADHYAY, DEBABRATA · 1998 to 2002
$383k
NCI NIH HHS R01 CA078383NCI NIH HHS R01 CA150190NCI NIH HHS R01 CA282451NCI NIH HHS R01 CA284268NCI NIH HHS R29 CA078383NHLBI NIH HHS R01 HL140411NHLBI NIH HHS R56 HL160545NINDS NIH HHS R01 NS129671U.S. Department of Health & Human Services | National Institutes of Health (NIH) CA150190U.S. Department of Health & Human Services | National Institutes of Health (NIH) CA78383U.S. Department of Health & Human Services | National Institutes of Health (NIH) NS129671-1U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) HL 140411
6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) is the most common high-grade primary malignant brain tumor, characterized by a notably poor prognosis. Current treatments for GBM have shown limited effectiveness in improving patient survival, highlighting the urgent need for effective therapeutic strategies. Combination therapy offers significant potential in overcoming resistance by targeting multiple signaling pathways; however, it often comes with increased toxicity compared to monotherapy. Co-encapsulating multiple therapeutic agents into a tumor-targeted drug delivery platform holds promise for overcoming these limitations and improving treatment outcomes.

methodsWe developed a tumor-targeted liposomal nanoformulation (TTL) using phospholipids, cholesterol, DSPE-(PEG)2000-OMe, and a proprietary tumor-targeting peptide (TTP). The TTL was loaded with everolimus (TTL-E), vinorelbine (TTL-V), rapamycin (TTL-R), a combination (TTL-EV), or (TTL-RV). These formulations were tested in vivo on orthotopic GBM mice, combined with temozolomide and radiation. RNA sequencing was performed to identify molecular and transcriptome changes post-treatment.

resultsTTL demonstrated tumor-specific uptake, effectively delivering drugs to GBM tumors. TTL-EV and TTL-RV outperformed single-drug formulations. Radiation combined with TTL-EV/RV improved tumor growth inhibition and survival, while temozolomide provided minimal benefit. Transcriptome analysis revealed differentially expressed genes (DEGs) linked to DNA damage repair, cell cycle, metabolism, and extracellular matrix pathways.

conclusionsTTL crossed the blood-brain barrier, targeting tumors effectively. Radiation plus TTL-EV/RV enhanced tumor suppression and survival in GBM models. Gene expression analysis identified DEGs related to DNA damage and cell death. Mechanistic studies suggest TTL-EV plus radiation inhibits mTOR/MAPK pathways and sensitizes tumors to radiation. These findings offer a potential approach for improving GBM treatment.

Identifiers

PMID41851421
PMCPMC13000293

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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.