A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Circulating miR-221/222 expression as microRNA biomarker predicting tamoxifen treatment outcome: a case-control study. | LitMetric

AI Article Synopsis

  • - The high mortality rate in breast cancer patients is often linked to metastases that resist systemic therapies, with circulating miRNAs-221 and miR-222 identified as key factors in this resistance by promoting cancer cell growth and survival.
  • - A study involving luminal subtype breast cancer patients treated with tamoxifen found that miR-221 levels significantly differed between patients with local recurrence and those without, indicating its potential role in predicting tamoxifen resistance.
  • - The findings suggest that measuring circulating miR-221/222 could help identify breast cancer patients at risk for treatment failure with tamoxifen, enabling earlier intervention and more effective treatment strategies.

Article Abstract

Unlabelled: The high mortality rate in breast cancer (BC) patients is generally due to metastases resistant to systemic therapy. Two causes of systemic therapy resistance in BC patients are circulating miRNAs-221 and miR-222, leading to improved BC cell proliferation, survival, and reduced cell apoptosis. This study investigated the miRNA expression changes associated with cancer cell resistance to tamoxifen therapy and is expected to be clinically meaningful before providing endocrine therapy to luminal-type BC patients who express them.

Methods: This case-control research included individuals with the luminal subtype of BC who had received tamoxifen medication for around one year. Furthermore, the case group contained 15 individuals with local recurrence or metastases, while the control group comprised 19 patients without local recurrence or metastases. Plasma miR-221/222 quantification was performed with real-time PCR using transcript-specific primers.

Results: A significant difference was found in circulating miR-221 expression between cases and controls (=0.005) but not in miR-222 expression (=0.070). There were no significant differences between miR-221/222 expression, progesterone receptor, Ki67 protein levels, lymphovascular invasion, and stage. However, receiver operator characteristic curve analyses showed miR-221/222 expressions predictive of tamoxifen resistance (=0.030) with a sensitivity of 60.00 and a specificity of 83.33%.

Conclusion: The use of circulating miR-221/222 expression can predict relapse as well as resistance to tamoxifen treatment in BC patients, and their testing is recommended for luminal subtype BC patients who will undergo tamoxifen therapy to determine their risk of tamoxifen resistance early, increasing treatment effectiveness.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406100PMC
http://dx.doi.org/10.1097/MS9.0000000000001061DOI Listing

Publication Analysis

Top Keywords

mir-221/222 expression
12
circulating mir-221/222
8
tamoxifen treatment
8
systemic therapy
8
resistance tamoxifen
8
tamoxifen therapy
8
luminal subtype
8
local recurrence
8
recurrence metastases
8
tamoxifen resistance
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!