Prognostic value of <scp>FGFR2</scp> alterations in patients with <scp>iCCA</scp> undergoing surgery or systemic treatments: A meta‐analysis
Bibliographic record
Abstract
BACKGROUND: Over recent years, there has been a notable rise in the incidence of intrahepatic cholangiocarcinoma (iCCA), which presents a significant challenge in treatment due to its complex disease characteristics and prognosis. Notably, the identification of fibroblast growth factor receptor 2 (FGFR2) fusion/rearrangement, a potential oncogenic driver primarily observed in iCCA, raises questions about its impact on the prognostic outcomes of patients undergoing surgical intervention or other therapeutic approaches. METHODS: A comprehensive search from inception to July 2023 was conducted across PubMed, Embase, Web of Science, and the Cochrane Library databases. The objective was to identify relevant publications comparing the prognosis of FGFR2 alterations and no FGFR2 alterations groups among patients with iCCA undergoing surgical resection or other systemic therapies. The primary outcome indicators, specifically Overall Survival (OS) and Disease-Free Survival (DFS), were estimated using Hazard Ratios (HRs) with 95% confidence intervals (CIs), and statistical significance was defined as p < .05. Study quality was assessed using the Newcastle-Ottawa Quality Assessment Scale. Statistical analyses were performed using Review Manager 5.4 software and Stata, version 12.0. RESULTS: Six studies, involving 1314 patients (FGFR2 alterations group n = 173 and no FGFR2 alterations group n = 1141), were included in the meta-analysis. The analysis revealed that the FGFR2 alterations group exhibited a significantly better OS prognosis compared to the no FGFR2 alterations group, with a fixed-effects combined effect size HR = 1.31, 95%CI = 1.001-1.715, p = .049. Furthermore, meta-regression and subgroup analysis showed that the length of the follow-up period did not introduce heterogeneity into the results. This finding indicates the stability and reliability of the study outcomes. CONCLUSION: The current study provides compelling evidence that FGFR2 alterations are frequently associated with improved survival outcomes for patients with iCCA undergoing surgical resection or other systemic treatments. Additionally, the study suggests that FGFR2 holds promise as a safe and dependable therapeutic target for managing metastatic, locally advanced or unresectable iCCA. This study offers a novel perspective in the realm of targeted therapy for iCCA, presenting a new and innovative approach to its treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".