Evidence map›Paper›PMID 35582377›Full record

ReviewCancer drug resistance (Alhambra, Calif.)2021

Cellular irinotecan resistance in colorectal cancer and overcoming irinotecan refractoriness through various combination trials including DNA methyltransferase inhibitors: a review.

Shogo Ozawa, Toshitaka Miura, Jun Terashima, Wataru Habano

Open access · diamondAbstract readReview
In one paragraph

Review in Cancer drug resistance (Alhambra, Calif.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  13. Resistance to TOP-1 Inhibitors: Good Old Drugs Still Can Surprise Us.International journal of molecular sciences · 2023
    Review
  14. Article
  15. Microbial Metabolites as Ligands to Xenobiotic Receptors: Chemical Mimicry as Potential Drugs of the Future.Drug metabolism and disposition: the biological fate of chemicals · 2023
    Review
  16. Bioengineering (Basel, Switzerland) · 2023
    Article
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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

4 authors at 1 institution in 1 country.

Shogo OzawaDivision of Pharmacodynamics and Molecular Genetics, School of Pharmacy, Iwate Medical University, Yahaba, Iwate 028-3694, Japan.
Toshitaka MiuraDivision of Pharmacodynamics and Molecular Genetics, School of Pharmacy, Iwate Medical University, Yahaba, Iwate 028-3694, Japan.
Jun TerashimaDivision of Pharmacodynamics and Molecular Genetics, School of Pharmacy, Iwate Medical University, Yahaba, Iwate 028-3694, Japan.
Wataru HabanoDivision of Pharmacodynamics and Molecular Genetics, School of Pharmacy, Iwate Medical University, Yahaba, Iwate 028-3694, Japan.
Iwate Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment with pharmacological drugs for colorectal cancer (CRC) remains unsatisfactory. A major cause of failure in pharmacotherapy is the resistance of colon cancer cells to the drugs, creating an urgent issue. In this review, we summarize previous studies on the resistance of CRC cells to irinotecan and discuss possible reasons for refractoriness. Our review presents the following five major causes of irinotecan resistance in human CRC: (1) cellular irinotecan resistance is induced mainly through the increased expression of the drug efflux transporter,

Indexed as

ABCG2anti-cancer drugscancer stem cellscolorectal cancerDNA topoisomerase IDrug resistanceepigeneticsirinotecan

Identifiers

PMID35582377
PMCPMC8992440
OpenAlexW3208777292

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.