The use of miRNAs in predicting response to neoadjuvant therapy in oesophageal cancer
The use of miRNAs in predicting response to neoadjuvant therapy in oesophageal cancer
Oesophageal cancer (OC) is the ninth most common cancer worldwide. Patients receive neoadjuvant therapy (NAT) as standard of care, but less than 20% of patients with oesophageal adenocarcinoma (OAC) or a third of oesophageal squamous cell carcinoma (OSCC) patients, obtain a clinically meaningful response. Developing a method of determining a patient’s response to NAT before treatment will allow rational treatment decisions to be made, thus improving patient outcome and quality of life. (1) Background: To determine the use and accuracy of microRNAs as biomarkers of response to NAT in patients with OAC or OSCC. (2) Methods: MEDLINE, EMBASE, Web of Science and the Cochrane library were searched to identify studies investigating microRNAs in treatment naïve biopsies to predict response to NAT in OC patients. (3) Results: A panel of 20 microRNAs were identified as predictors of good or poor response to NAT, from 15 studies. Specifically, miR-99b, miR-451 and miR-505 showed the strongest ability to predict response in OAC patients along with miR-193b in OSCC patients. (4) Conclusions: MicroRNAs are valuable biomarkers of response to NAT in OC. Research is needed to understand the effects different types of chemotherapy and chemoradiotherapy have on the predictive value of microRNAs; studies also require greater standardization in how response is defined.
Lang, Cameron C.J.
846aeea4-fc9d-409c-a288-f561dff9eb22
Lloyd, Megan
5325a2c4-a0dc-4c99-88ad-a5adfab5c258
Alyacoubi, Said
9cda9ffa-21d0-4f1f-90aa-581c5df53881
Rahman, Saqib
a2228883-fb64-4f47-8fd0-1a9832d04467
Pickering, Oliver John
ae8425ef-ca60-4bd2-b5da-780a1e6f2289
Underwood, Timothy
8e81bf60-edd2-4b0e-8324-3068c95ea1c6
Breininger, Stella P.
b6027df8-22a3-4d09-8799-6d14123f9ce4
24 February 2022
Lang, Cameron C.J.
846aeea4-fc9d-409c-a288-f561dff9eb22
Lloyd, Megan
5325a2c4-a0dc-4c99-88ad-a5adfab5c258
Alyacoubi, Said
9cda9ffa-21d0-4f1f-90aa-581c5df53881
Rahman, Saqib
a2228883-fb64-4f47-8fd0-1a9832d04467
Pickering, Oliver John
ae8425ef-ca60-4bd2-b5da-780a1e6f2289
Underwood, Timothy
8e81bf60-edd2-4b0e-8324-3068c95ea1c6
Breininger, Stella P.
b6027df8-22a3-4d09-8799-6d14123f9ce4
Lang, Cameron C.J., Lloyd, Megan, Alyacoubi, Said, Rahman, Saqib, Pickering, Oliver John, Underwood, Timothy and Breininger, Stella P.
(2022)
The use of miRNAs in predicting response to neoadjuvant therapy in oesophageal cancer.
Cancers, 14 (5).
(doi:10.3390/cancers14051171).
Abstract
Oesophageal cancer (OC) is the ninth most common cancer worldwide. Patients receive neoadjuvant therapy (NAT) as standard of care, but less than 20% of patients with oesophageal adenocarcinoma (OAC) or a third of oesophageal squamous cell carcinoma (OSCC) patients, obtain a clinically meaningful response. Developing a method of determining a patient’s response to NAT before treatment will allow rational treatment decisions to be made, thus improving patient outcome and quality of life. (1) Background: To determine the use and accuracy of microRNAs as biomarkers of response to NAT in patients with OAC or OSCC. (2) Methods: MEDLINE, EMBASE, Web of Science and the Cochrane library were searched to identify studies investigating microRNAs in treatment naïve biopsies to predict response to NAT in OC patients. (3) Results: A panel of 20 microRNAs were identified as predictors of good or poor response to NAT, from 15 studies. Specifically, miR-99b, miR-451 and miR-505 showed the strongest ability to predict response in OAC patients along with miR-193b in OSCC patients. (4) Conclusions: MicroRNAs are valuable biomarkers of response to NAT in OC. Research is needed to understand the effects different types of chemotherapy and chemoradiotherapy have on the predictive value of microRNAs; studies also require greater standardization in how response is defined.
Text
cancers-14-01171
- Version of Record
More information
Accepted/In Press date: 21 February 2022
Published date: 24 February 2022
Identifiers
Local EPrints ID: 474515
URI: http://eprints.soton.ac.uk/id/eprint/474515
ISSN: 2072-6694
PURE UUID: 3f013281-b925-4f0b-92ad-1b09318e582c
Catalogue record
Date deposited: 23 Feb 2023 17:47
Last modified: 17 Mar 2024 02:58
Export record
Altmetrics
Contributors
Author:
Cameron C.J. Lang
Author:
Megan Lloyd
Author:
Said Alyacoubi
Author:
Saqib Rahman
Author:
Oliver John Pickering
Author:
Stella P. Breininger
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics