Three biomarkers (HER2, PD-L1, and microsatellite status) in a large cohort of metastatic gastroesophageal adenocarcinomas: The MD Anderson Cancer Center experience.
Matheus Sewastjanow-SilvaEvan KwiatkowskiKohei YamashitaAhmed A AbdelhakeemKatsuhiro YoshimuraErnesto R VicentiniMelissa P PizziJiankang JinYibo FanGengyi ZouLingzhi WangFeng YinShilpa S DharMariela Blum MurphyJeannette E MaresJenny J LiQiong GanRebecca E WatersJane E RogersJaffer A AjaniPublished in: International journal of cancer (2024)
Human epidermal growth factor receptor-2 (HER2), programmed death-ligand 1 (PD-L1), and microsatellite (MS) status are well-established biomarkers in gastroesophageal adenocarcinomas (GEAs). However, it is unclear how the combination of these biomarkers is associated with clinicopathological factors and prognosis. This retrospective study included baseline metastatic GEA patients who were tested for all three biomarkers (HER2, PD-L1, and MS status) at the MD Anderson Cancer Center between 2012 and 2022. Stratification was performed according to the combination of biomarker profiles: triple negative (TN), single positive (SP), and multiple positive (MP). Comparative analyses of clinicopathological factors and survival using combinations of biomarkers were performed. Among the 698 GEA patients analyzed, 251 (36.0%) were classified as TN, 334 (47.9%) as SP, and 113 (16.1%) as MP. The MP group showed a significant association with tumors located in the esophagus (p < .001), well to moderate differentiation (p < .001), and the absence of signet ring cells (p < .001). In the survival analysis, MP group had a significantly longer overall survival (OS) compared to the other groups (MP vs. TN, p < .001 and MP vs. SP, p < .001). Multivariate Cox regression analysis revealed that MP serves as an independent positive prognostic indicator for OS (hazard ratio = 0.63, p < .01). Our findings indicate that MP biomarkers are associated with a favorable prognosis in metastatic GEA. These results are reflective of clinical practice and offer valuable insights into how therapeutics and future biomarkers could influence therapy/prognosis.
Keyphrases
- epidermal growth factor receptor
- squamous cell carcinoma
- small cell lung cancer
- clinical practice
- multiple sclerosis
- mass spectrometry
- end stage renal disease
- ms ms
- endothelial cells
- squamous cell
- ejection fraction
- chronic kidney disease
- bone marrow
- induced apoptosis
- high intensity
- advanced non small cell lung cancer
- data analysis
- patient reported outcomes
- cell cycle arrest
- endoplasmic reticulum stress