AI Article Synopsis
- The study examined how certain genomic biomarkers can predict treatment outcomes for patients with adenocarcinoma of the uterine cervix undergoing chemoradiotherapy (CRT).
- It analyzed data from 21 patients using tissue samples and next-generation sequencing to identify key genetic alterations affecting survival rates.
- Key findings indicated that MCL1 gene amplification and lower TNF-α levels were linked to worse disease-free survival, with specific prognostic implications suggested for better patient management.
Article Abstract
This study investigated the prognostic effects of genomic biomarkers for predicting chemoradiotherapy (CRT)-based treatment outcomes in patients with adenocarcinoma (AC) of the uterine cervix. In all, 21 patients receiving definitive CRT were included. In accordance with the International Federation of Gynecology and Obstetrics (FIGO) staging system, 5, 8, and 8 patients were classified as having stage IB3, II, and III disease, respectively. Pretreatment biomarkers were analyzed using tissue microarrays from biopsy specimens. Genomic alterations were examined by next-generation sequencing (NGS). The outcome endpoints were disease-free survival (DFS), distant metastasis-free survival (DMFS), and local relapse-free survival (LRFS). A Cox regression model was used to examine the prognostic effects of the biomarkers and clinical parameters. The presence of myeloid cell leukemia-1 () gene amplification and a lower immunohistochemical (IHC) marker of tumor necrotic factor alpha (TNF-α) H-score were two prognostic factors for inferior DFS. The four-year DFS was 28% and 68% for patients with or without MCL1 copy number gain, respectively ( = 0.028). In addition, MCL1 amplification predicted poor DMFS. A lower tumor mutation number (TMN) calculated from nonsynonymous mutations was associated with lower LRFS. For patients with adenocarcinoma of the uterine cervix receiving definitive CRT, prognostic information can be supplemented by amplification, the TMN, and the TNF-α H score.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7312424 | PMC |
| http://dx.doi.org/10.3390/ijms21114117 | DOI Listing |
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