Evidence map›Paper›PMID 41258901›Full record

ArticleACS nano2025

Precise Ratiometric Drug Delivery for the Treatment of Triple-Negative Breast Cancer.

Rae Hyung Kang, Morteza Rasoulianboroujeni, Maryam Kianpour, Lauren Repp, Suzanne M Ponik, Glen S Kwon

Abstract read
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Article
  2. Review
  3. Review
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.

Rae Hyung KangPharmaceutical Sciences Division, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.ORCID 0000-0001-9380-6553
Morteza RasoulianboroujeniPharmaceutical Sciences Division, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.
Maryam KianpourPharmaceutical Sciences Division, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.
Lauren ReppPharmaceutical Sciences Division, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.
Suzanne M PonikDepartment of Cell and Regenerative Biology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.ORCID 0000-0003-1367-4349
Glen S KwonPharmaceutical Sciences Division, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States.ORCID 0000-0002-4798-652X

Funding

Oligo(lactic acid)n-Prodrug Nanomedicines for Combination TherapyR01CA257837 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI KWON, GLEN S. · 2021 to 2024
$1.4M
NCI NIH HHS R01 CA257837
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) remains a significant clinical challenge due to its high aggressiveness, poor prognosis, and lack of targeted therapies. Combining paclitaxel (PTX) with rapamycin (RAP), a PI3K/AKT/mTOR pathway inhibitor, has shown promise in preclinical and clinical studies, but the approach is limited by pharmacokinetic disparities and toxicity concerns. Here, we introduce Rapaxane, a formulation composed of polymeric micelles coloaded with oligo(lactic acid)

Indexed as

Antineoplastic AgentsDrug Delivery SystemsPaclitaxelSirolimusTriple Negative Breast NeoplasmsAnimalsCell Line, TumorCell ProliferationCell SurvivalDrug CarriersDrug LiberationFemaleHumansMiceMice, Inbred BALB CMicellesAntineoplastic AgentsDrug CarriersMicellesPaclitaxelProdrugsSirolimuspaclitaxelpolymeric micellerapamycinratiometric drug deliverytriple-negative breast cancer

Identifiers

PMID41258901
PMCPMC12676740

What OpenQuestion holds

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LicenceCC BY
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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.