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11. Prognostic and predictive value of the newly proposed grading system of invasive pulmonary adenocarcinoma in Chinese patients: a retrospective multicohort study

21. PET/CT-based deep learning grading signature to optimize surgical decisions for clinical stage I invasive lung adenocarcinoma and biologic basis under its prediction: a multicenter study

25. Amplifying "eat me signal" by immunogenic cell death for potentiating cancer immunotherapy.

37. Multicenter, single-arm, phase II trial of camrelizumab and chemotherapy as neoadjuvant treatment for locally advanced esophageal squamous cell carcinoma

39. Deep Learning for Predicting Major Pathological Response to Neoadjuvant Immunotherapy in Non-Small Cell Lung Cancer: A Retrospective Multicenter Study

41. Safety and efficacy of neoadjuvant treatment with immune checkpoint inhibitors in esophageal cancer: real-world multicenter retrospective study in China.

44. A phase II study of neoadjuvant immunotherapy combined with chemotherapy (camrelizumab plus albumin paclitaxel and carboplatin) in resectable thoracic esophageal squamous cell cancer (NICE study): Interim results.

45. FAIM regulates autophagy through glutaminolysis in lung adenocarcinoma.

46. Robot-assisted Versus Conventional Minimally Invasive Esophagectomy for Resectable Esophageal Squamous Cell Carcinoma: Early Results of a Multicenter Randomized Controlled Trial: the RAMIE Trial.

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