Evidence map›Paper›PMID 37869015›Full record

ArticleFrontiers in immunology2023

Novel Siglec-15-Sia axis inhibitor leads to colorectal cancer cell death by targeting miR-6715b-3p and oncogenes.

Mohammed Saqif Ahmad, Maria Braoudaki, Hershna Patel, Irshad Ahmad, Shagufta, Shoib Sarwar Siddiqui

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

12 citing papers in PubMed, 17 citations in OpenAlex.

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  3. Advances in quercetin-based therapeutics for breast cancer: natural, synthetic, and nanotechnology-driven approaches.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026
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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 at 2 institutions in 2 countries.

Mohammed Saqif AhmadSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
Maria BraoudakiSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
Hershna PatelSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
Irshad AhmadDepartment of Biotechnology, School of Arts and Sciences, American University of Ras Al Khaimah, Ras Al Khaimah, United Arab Emirates.
ShaguftaDepartment of Biotechnology, School of Arts and Sciences, American University of Ras Al Khaimah, Ras Al Khaimah, United Arab Emirates.
Shoib Sarwar SiddiquiSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
University of Hertfordshire · GBAmerican University of Ras Al Khaimah · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Siglecs are well known immunotherapeutic targets in cancer. Current checkpoint inhibitors have exhibited limited efficacy, prompting a need for novel therapeutics for targets such as Siglec-15. Presently, small molecule inhibitors targeting Siglec-15 are not explored alongside characterised regulatory mechanisms involving microRNAs in CRC progression. Therefore, a small molecule inhibitor to target Siglec-15 was elucidated

Indexed as

Colorectal NeoplasmsMicroRNAsSialic Acid Binding Immunoglobulin-like LectinsApoptosisB7-H1 AntigenCell ProliferationHumansMolecular Docking SimulationOncogenesB7-H1 AntigenMicroRNAsSialic Acid Binding Immunoglobulin-like Lectinscolorectal cancergene expressioninhibitormiRNAsialic acidSiglec-15

Identifiers

PMID37869015
PMCPMC10587484
OpenAlexW4387403676

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.