Evidence map›Paper›PMID 37150853›Full record

ReviewCancer reports (Hoboken, N.J.)2023

Clinical outcomes of chemotherapy in cancer patients with different ethnicities.

Suhrud Pathak, Kelsee K Zajac, Manjusha Annaji, Manoj Govindarajulu, Rishi M Nadar, Dylan Bowen, R Jayachandra Babu, Muralikrishnan Dhanasekaran

Abstract readReview
In one paragraph

Review in Cancer reports (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Suhrud PathakDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, Alabama, USA.
Kelsee K ZajacDepartment of Pharmacology and Experimental Therapeutics, College of Pharmacy and Pharmaceutical Sciences, University of Toledo, Toledo, Ohio, USA.
Manjusha AnnajiDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, Alabama, USA.
Manoj GovindarajuluDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, Alabama, USA.
Rishi M NadarDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, Alabama, USA.
Dylan BowenDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, Alabama, USA.
R Jayachandra BabuDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, Alabama, USA.ORCID 0000-0003-0337-2291
Muralikrishnan DhanasekaranDepartment of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, Alabama, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChoosing the most effective chemotherapeutic agent with safest side effect profile is a common challenge in cancer treatment. Although there are standardized chemotherapy protocols in place, protocol changes made after extensive clinical trials demonstrate significant improvement in the efficacy and tolerability of certain drugs. The pharmacokinetics, pharmacodynamics, and tolerance of anti-cancer medications are all highly individualized. A driving force behind these differences lies within a person's genetic makeup. RECENT

findingsPharmacogenomics, the study of how an individual's genes impact the processing and action of a drug, can optimize drug responsiveness and reduce toxicities by creating a customized medication regimen. However, these differences are rarely considered in the initial determination of standardized chemotherapeutic protocols and treatment algorithms. Because pharmacoethnicity is influenced by both genetic and nongenetic variables, clinical data highlighting disparities in the frequency of polymorphisms between different ethnicities is steadily growing.  Recent data suggests that ethnic variations in the expression of allelic variants may result in different pharmacokinetic properties of the anti-cancer medication. In this article, the clinical outcomes of various chemotherapy classes in patients of different ethnicities were reviewed.

conclusionGenetic and nongenetic variables contribute to the interindividual variability in response to chemotherapeutic drugs. Considering pharmacoethnicity in the initial determination of standard chemotherapeutic protocols and treatment algorithms can lead to better clinical outcomes of patients of different ethnicities.

Indexed as

NeoplasmsHumansPolymorphism, Geneticcancerchemotherapeuticsdosage formsethnic variationracial variationtreatment outcomes

Identifiers

PMID37150853
PMCPMC10440845

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.