Evidence map›Paper›PMID 40754874›Full record

ReviewCurrent topics in medicinal chemistry2026

Kinase Inhibitors for Targeted Cancer Therapy.

M Amin Mir, Devalina Ray, Suman Mazumdar, Bimal Krishna Banik

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current topics in medicinal chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

M Amin MirDepartment of Mathematics and Natural Sciences, College of Sciences and Human Studies, Prince Mohammad Bin Fahd University, Al Khobar, Kingdom of Saudi Arabia.
Devalina RayAmity Institute of Biotechnology, Amity University, Noida, Uttar Pradesh, India.
Suman MazumdarDepartment of Scientific and Industrial Research, Technology Bhawan, New Mehrauli Road, New Delhi, Delhi 110016, India.
Bimal Krishna BanikDepartment of Mathematics and Natural Sciences, College of Sciences and Human Studies, Prince Mohammad Bin Fahd University, Al Khobar, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision medicine's quick development has transformed the way cancer is treated, and because small-molecule kinase inhibitors can specifically block the abnormal signaling pathways that cause tumor growth and progression, they are now a key component of targeted therapy. This review explores the most recent advancements in kinase inhibitor design and optimization, with a focus on novel drug scaffolds, improved structure-activity relationships (SARs), and molecular modification techniques meant to improve target selectivity, potency, and pharmacokinetic profiles. Emerging strategies to combat resistance mechanisms are heavily emphasized, such as the use of dual-target inhibitors that block parallel signaling cascades, allosteric modulators that bind to non-ATP sites, and combination therapies that work in concert to increase efficacy while reducing resistance. A thorough summary of the kinase inhibitors that are now FDA-approved for use in treating different forms of cancer is also included in the review, along with information on their safety profiles, clinical effectiveness, and changing indications of usage. Additionally, it examines encouraging results from preclinical research and ongoing clinical studies assessing nextgeneration kinase inhibitors, which have the potential to further customize cancer treatment. In order to improve patient outcomes, address therapeutic resistance, and broaden the therapeutic scope of kinase-targeted interventions in oncology, the review concludes by highlighting future research directions, such as drug repurposing, computational drug discovery, and advanced precision oncology approaches.

Indexed as

Antineoplastic AgentsMolecular Targeted TherapyNeoplasmsProtein Kinase InhibitorsProtein KinasesAnimalsHumansStructure-Activity RelationshipAntineoplastic AgentsProtein Kinase InhibitorsProtein KinasesCancerDrugsEnzymesInhibitorsKinasesStructure-activity relationships (SARs)

Identifiers

PMID40754874

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.