Prognostic Relevance of Weight and Weight Loss during Multimodal Therapy for Oesophagogastric Tumours.
Alessandro LorussoDmitry BichevAnica HoegnerPrisca BartelsAlexej BallhausenChristoph TreeseMatthias BieblPeter C Thuss-PatiencePublished in: Current oncology (Toronto, Ont.) (2022)
The prognostic meaning of weight loss (WL) during standard treatment for operable oesophagogastric cancer is still unclear. The aim of this study is to analyse the prognostic effect of WL during perioperative chemotherapy (PC) for gastric cancer (GC) and oesophageal adenocarcinomas (OAC). We retrospectively analysed data from 128 patients (pts) with GC and OAC who underwent surgery in the context of multimodal treatment with PC. We collected data on WL during different steps of therapy together with other histopathologic and demographic information. We analysed the effects on overall survival (OS) and disease-free survival (DFS). Results: Pts with WL ≥ 5% during neoadjuvant chemotherapy exhibited significantly worse OS compared with pts with WL < 5% (median OS: 23.6 months [95% CI: 4.4-42.9] vs. 63.5 months [95% CI: 50.7-76.2], p = 0.007) and DFS (median DFS: 12.5 months [95% CI: 2.9-22.1] vs. 63.5 months [95% CI: 31.6-95.4], p = 0.016). Pts with WL ≥ 14% during the whole treatment exhibited significantly worse OS compared with pts with WL < 14% (median OS: 43.7 months [95% CI: 13.2-74.2] vs. not reached, p = 0.028) and DFS (median DFS: 34.3 months [95% CI: 14.0-54.5] vs. not reached, p = 0.038). Conclusion: WL patterns during neoadjuvant chemotherapy and during the whole treatment correlate with a significantly worse prognosis in operated pts with curative GC or OAC in the context of a multimodal treatment with PC. A validation of this prognostic effect in prospective studies is warranted.
Keyphrases
- neoadjuvant chemotherapy
- weight loss
- free survival
- locally advanced
- healthcare
- lymph node
- squamous cell carcinoma
- minimally invasive
- radiation therapy
- type diabetes
- coronary artery disease
- machine learning
- stem cells
- body mass index
- newly diagnosed
- ejection fraction
- health information
- physical activity
- mass spectrometry
- cardiac surgery
- deep learning
- artificial intelligence
- papillary thyroid
- social media
- tandem mass spectrometry