Evidence map›Paper›PMID 42135452›Full record

ArticleScientific reports2026

Combined PD-1 and TIGIT blockade via siRNA enhances anti-leukemic T-cell function and promotes AML cell apoptosis.

Samira Anvari, Mohsen Nikbakht, Mohammad Vaezi, Sedigheh Amini-Kafiabad, Mohammad Ahmadvand

Abstract read
In one paragraph

Article in Scientific reports, 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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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

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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

5 authors.

Samira AnvariBlood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran.
Mohsen NikbakhtHematology Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad VaeziHematology, Oncology, and Stem Cell Transplantation Research Center, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Sedigheh Amini-KafiabadBiological Products and Blood Safety Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran. dr.amini@gmail.com.
Mohammad AhmadvandCell Therapy and Hematopoietic Stem Cell Transplantation Research Center, Research Institute for Oncology, Hematology and Cell Therapy, Tehran University of Medical Sciences, Tehran, Iran. Ahmadvand.mohamad64@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a novel siRNA-based dual checkpoint blockade approach using readily available leukoreduction filter-derived T-cells, exploring dual PD-1/TIGIT siRNA-mediated knockdown to enhance anti-leukemic activity against Acute myeloid leukemia (AML) cell lines with distinct molecular characteristics (KG-1, representing minimally differentiated AML-M0; THP-1, representing monocytic AML-M5). T-cells were isolated from leukoreduction filters (98.1% purity), activated with CD3/CD28 Dynabeads and IL-2 to upregulate PD-1 (40.5%) and TIGIT (46.4%), and transfected with siRNA (70.8% efficiency), reducing PD-1 to 11.9% and TIGIT to 19.4%. Transfected T-cells were co-cultured with AML cells at E: T ratios of 1:1, 2:1, and 5:1. Viability, cytotoxicity, IFN-γ and caspase-3 levels, and Bax/Bcl-2 mRNA expression were assessed. Dual knockdown reduced THP-1 viability to 30% and KG-1 to 40% at 5:1, with cytotoxicity increasing to 44.3% (THP-1) and 48.8% (KG-1) (P < 0.01), outperforming single knockdowns (P < 0.01). IFN-γ peaked at 80 pg/mL (THP-1, 5:1, P < 0.0001), caspase-3 rose by 70% (P < 0.0001), Bax increased 3.0-fold, and Bcl-2 decreased 70% (P < 0.001). CD8

Indexed as

ApoptosisLeukemia, Myeloid, AcuteProgrammed Cell Death 1 ReceptorReceptors, ImmunologicRNA, Small InterferingT-LymphocytesCell Line, TumorHumansInterferon-gammaInterferon-gammaPDCD1 protein, humanProgrammed Cell Death 1 ReceptorReceptors, ImmunologicRNA, Small InterferingTIGIT protein, humanAcute myeloid leukemiaCheckpoint inhibitionLeukoreduction filtersPD-1siRNATIGIT

Identifiers

PMID42135452
PMCPMC13408701

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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.