Evidence map›Paper›PMID 41612730›Full record

ArticleBiotechnology and applied biochemistry2026

N-3 PUFAs Enhancing Chemotherapy Efficacy in Acute Myeloid Leukemia While Safeguarding Healthy Cells.

Pradnya Gurav, Aruna Sivaram, R N Kedar

Abstract read
In one paragraph

Article in Biotechnology and applied biochemistry, 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

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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Pradnya GuravSchool of Bioengineering Sciences and Research, MIT Art, Design and Technology University, Pune, Maharashtra, India.
Aruna SivaramSchool of Bioengineering Sciences and Research, MIT Art, Design and Technology University, Pune, Maharashtra, India.
R N KedarSchool of Bioengineering Sciences and Research, MIT Art, Design and Technology University, Pune, Maharashtra, India.

Funding

School of Bioengineering Sciences & Research, MIT ADT University, Pune, India
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a rapidly progressing blood cancer with poor survival rates, necessitating aggressive treatment strategies like chemotherapy. Doxorubicin (DOXO) is commonly used but is limited by severe side effects, including myeloablation, which involves the depletion of bone marrow cells leading to immunosuppression and heightened infection risk. This study explores the potential of omega-3 polyunsaturated fatty acids (n-3 PUFAs), specifically docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), to enhance the efficacy of DOXO against AML cells while mitigating some of its toxicities. The results show that DHA and EPA increase the DOXO-induced apoptosis in KG1a cells and greater accumulation in the sub-G1 phase, suggesting enhanced cell death. TUNEL assays confirmed increased DNA fragmentation, whereas mRNA analysis revealed upregulation of apoptosis and cell cycle regulation genes. Importantly, DHA and EPA also reduced the hemolytic activity of DOXO, suggesting a protective effect against chemotherapy-associated side effects. These findings suggest that DHA and EPA could enhance the anti-leukemic impact of DOXO, potentially reducing the need for high-dose chemotherapy and alleviating risks like myeloablation, offering a promising adjunct strategy for AML treatment.

Indexed as

Antineoplastic AgentsDocosahexaenoic AcidsDoxorubicinEicosapentaenoic AcidFatty Acids, Omega-3Leukemia, Myeloid, AcuteApoptosisCell Line, TumorHumansAntineoplastic AgentsDocosahexaenoic AcidsDoxorubicinEicosapentaenoic AcidFatty Acids, Omega-3acute myeloid leukemiacytotoxicitydoxorubicinmyeloablationn‐3 PUFAs

Identifiers

PMID41612730
PMCPMC13446430

What OpenQuestion 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 OpenQuestion graph.