Evidence map›Paper›PMID 41769264›Full record

ReviewDrug design, development and therapy2026

Beyond Oncogenes: Selectively Targeting Whole-Tumor Cell Growth Regulation.

Albert Qin

Abstract readReview
In one paragraph

Review in Drug design, development and therapy, 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. 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

1 author.

Albert QinMedical Research & Clinical Operations, PharmaEssentia Corporation, Taipei, Taiwan, Republic of China.ORCID 0000-0001-7610-084X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell cycle-based surveillance system is an evolutionary adaptation aligned with the complex and heterogeneous nature of cancer in higher-order organisms and serves as a naturally existing model for potent anticancer therapy. It helps provide insights for the reasons underpinning the challenges facing oncogene-targeting in drug development, including cancer heterogeneity, difficulty in identifying "driver" oncogenes, and drug resistance due to additional mutations or other factors such as epigenetic changes, phenotypic adaptation, and microenvironmental influences. This perspective suggests the paradigm shift of targeting the whole cellular process instead of focusing on single-oncogene inhibition. Therefore, a potentially compelling strategy for cancer therapy is to selectively suppress tumor cells via targeting the whole-cell growth regulation while sparing normal cells. Future directions include precisely distinguishing and selectively interfering with tumor cell growth-regulatory networks from those of normally growing cells to achieve maximal clinical efficacy without compromising safety.

Indexed as

Antineoplastic AgentsNeoplasmsOncogenesAnimalsCell CycleCell ProliferationHumansMolecular Targeted TherapyAntineoplastic Agentscell cycle-based anticancer surveillancecellular growth-regulatory machineryselective anticancer therapytargeted therapywhole-cell growth regulation

Identifiers

PMID41769264
PMCPMC12949349

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.