SynthesisPathology oncology research : POR2020
Role of Anti-Epidermal Growth Factor Receptor Therapy Compared with Anti-Vascular Endothelial Growth Factor Therapy for Metastatic Colorectal Cancer: an Update Meta-Analysis of Randomized Clinical Trials.
Synthesis in Pathology oncology research : POR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Colorectal cancer tumor stem cells mediate bevacizumab resistance through the signal IL-22-STAT3 signaling pathway.3 Biotech · 2023Article
- Association Between Tumor Mutation Profile and Clinical Outcomes Among Hispanic-Latino Patients With Metastatic Colorectal Cancer.Frontiers in oncology · 2021Article
- Synchronous liver metastases and peritoneal carcinomatosis from colorectal cancer: different strategies for curative treatment?Langenbeck's archives of surgery · 2019Article
- High Spy1 expression predicts poor prognosis in colorectal cancer.Cancer management and research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monoclonal antibodies targeting epidermal growth factor receptor (EGFR) or vascular endothelial growth factor (VEGF) have showed clinical benefit in combination with chemotherapeutic cytotoxic drugs in the first-line therapy of metastatic colorectal cancer (mCRC). Data from randomized studies comparing these monoclonal antibodies as initial therapy is conflicting, and their comparative efficacy remains unknown. This study aimed to evaluate the impact of the combination of anti-epidermal growth factor receptor (anti-EGFR) therapy and anti-vascular endothelial growth factor therapy on mCRC patient outcomes by combining the data from randomized clinical trials. Three trials meeting the eligibility criteria, and four randomized studies were included in the meta-analysis. For MCRC patients with KRAS wild type (KRAS-WT), the ORR was superior in patients treated with anti-EGFR compared with those who treated with anti-VEGF therapy. This effect was even better for all RAS-WT patients. Progression-free survival (PFS) rates were not significantly different for KRAS-WT mCRC and all RAS-WT mCRC between the two groups. The overall survival (OS) was higher for RAS wild-type (RAS-WT) mCRC patients who received anti-EGFR, but the KRAS-WT patients compared to the anti-VEGF therapy. The results of our research indicate that superior ORR and OS between the addition of anti-EGFR therapy VS anti-VEGF therapy in all RAS-WT patients with MCRC. There was no significant difference in OS and PFS between the two groups for KRAS-WT mCRC. These results suggest that anti- EGFR monoclonal antibodies can achieve an equivalent efficacy when compared with anti-VEGF therapy of all RAS-WT mCRC patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.