Future direction of total neoadjuvant therapy for locally advanced rectal cancer.
Yoshinori KagawaJ Joshua SmithEmmanouil FokasJun WatanabeAndrea CercekFlorian R GretenHideaki BandoQian ShiJulio Garcia-AguilarPaul B RomesserNatally HorvatHanna SanoffWilliam HallTakeshi KatoClaus RödelArvind N DasariTakayuki YoshinoPublished in: Nature reviews. Gastroenterology & hepatology (2024)
Despite therapeutic advancements, disease-free survival and overall survival of patients with locally advanced rectal cancer have not improved in most trials as a result of distant metastases. For treatment decision-making, both long-term oncologic outcomes and impact on quality-of-life indices should be considered (for example, bowel function). Total neoadjuvant therapy (TNT), comprised of chemotherapy and radiotherapy or chemoradiotherapy, is now a standard treatment approach in patients with features of high-risk disease to prevent local recurrence and distant metastases. In selected patients who have a clinical complete response, subsequent surgery might be avoided through non-operative management, but patients who do not respond to TNT have a poor prognosis. Refined molecular characterization might help to predict which patients would benefit from TNT and non-operative management. Specifically, integrated analysis of spatiotemporal multi-omics using artificial intelligence and machine learning is promising. Three prospective trials of TNT and non-operative management in Japan, the USA and Germany are collaborating to better understand drivers of response to TNT. Here, we address the future direction for TNT.
Keyphrases
- locally advanced
- rectal cancer
- neoadjuvant chemotherapy
- artificial intelligence
- machine learning
- free survival
- end stage renal disease
- phase ii study
- poor prognosis
- squamous cell carcinoma
- radiation therapy
- chronic kidney disease
- ejection fraction
- newly diagnosed
- lymph node
- decision making
- minimally invasive
- prognostic factors
- peritoneal dialysis
- long non coding rna
- deep learning
- big data
- clinical trial
- prostate cancer
- current status
- patient reported outcomes
- type diabetes
- skeletal muscle
- acute coronary syndrome
- insulin resistance
- single cell