Evidence map›Paper›PMID 42725398›Full record

ReviewMolecular medicine reports2026

Research progress of aptamers in the diagnosis and treatment of colorectal cancer (Review).

Yiwen Li, Penghui Yan, Ji Zhang, Binghui Wu, Min Li, Baoliang Bao

Abstract readReview
In one paragraph

Review in Molecular medicine 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.

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

6 authors.

Yiwen LiDepartment of Graduate Studies, Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region 010050, P.R. China.
Penghui YanDepartment of Nuclear Medicine, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region 010050, P.R. China.
Ji ZhangSchool of Clinical Medicine, Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region 010050, P.R. China.
Binghui WuSchool of Clinical Medicine, Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region 010050, P.R. China.
Min LiDepartment of Graduate Studies, Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region 010050, P.R. China.
Baoliang BaoDepartment of Nuclear Medicine, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region 010050, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the leading causes of cancer‑related deaths. The high incidence rate and poor prognosis of CRC pose a serious threat to public health, and impose a notable social and economic burden. Therefore, improving the accuracy of the early diagnosis and treatment of CRC is of notable importance. Aptamers have substantial potential for tumor‑targeted diagnosis and treatment due to their unique advantages, such as high affinity, high specificity and programmability. In the diagnosis and treatment of CRC, aptamers can specifically target receptors on the surface of cancer cells and intervene in the development of CRC by inhibiting receptor activity. The present study reviews the current state of research on aptamers to provide a new scientific basis and methods for diagnosing and treating CRC. The relevant research achievements are organized based on the two major branches of diagnostic detection and targeted therapy to systematically assess the translational value of various CRC aptamers.

Indexed as

Aptamers, NucleotideColorectal NeoplasmsAnimalsBiomarkers, TumorHumansMolecular Targeted TherapySELEX Aptamer TechniqueAptamers, NucleotideBiomarkers, TumoraptamersCRCdiagnosistreatment

Identifiers

PMID42725398
PMCPMC13579126

What OpenQuestion holds

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Registered trials

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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.