Adjuvant MUC vaccination with tecemotide after resection of colorectal liver metastases: a randomized, double-blind, placebo-controlled, multicenter AIO phase II trial (LICC).
Carl Christoph SchimanskiStefan KasperSusanna Hegewisch-BeckerJan SchröderFriedrich OverkampFrank KullmannWolf Otto BechsteinMatthias VöhringerRobert ÖllingerFlorian LordickVolker HeinemannMichael GeißlerArmin Schulz-AbeliusHelga BernhardMichael R SchönRichard GreilPeter GalleHauke LangIrene SchmidtmannMarkus MoehlerPublished in: Oncoimmunology (2020)
AE: adverse event; CP: cyclophosphamide; CRC: colorectal cancer; CT: computed tomography; ECOG: Eastern Cooperative Oncology Group; FU: follow-up; HR: hazard ratio; IHC: immunohistochemical staining; ITT: intention-to-treat; DSMB: Data Safety Monitoring Board; LLD: liver-limited disease; mCRC: metastatic colorectal cancer; MPLA: monophosphoryl lipid; AMRI: magnetic resonance imaging; MUC1: mucin 1; NA: not applicable; NCI-CTCAE: National Cancer Institute Common Terminology Criteria for Adverse Events; NS: normal saline; NSCLC: non-small-cell lung carcinoma; OS: overall surviva; lPP: per protocol; RAS: Rat sarcoma; RFS: recurrence-free survival; TEAE: treatment-emergent adverse event; UICC: Union for International Cancer Control; US: ultrasound; vs.: versus.
Keyphrases
- placebo controlled
- free survival
- double blind
- magnetic resonance imaging
- computed tomography
- liver metastases
- metastatic colorectal cancer
- contrast enhanced
- positron emission tomography
- clinical trial
- dual energy
- phase iii
- image quality
- study protocol
- phase ii
- small cell lung cancer
- phase ii study
- randomized controlled trial
- palliative care
- electronic health record
- cell therapy
- papillary thyroid
- early stage
- magnetic resonance
- south africa
- low dose
- cross sectional
- dengue virus
- high dose
- adverse drug
- diffusion weighted imaging
- stem cells
- big data
- combination therapy
- squamous cell
- radiation therapy
- young adults
- zika virus
- rectal cancer
- pet ct
- bone marrow
- machine learning