Lymphocyte to Monocyte Ratio and Modified Glasgow Prognostic Score Predict Prognosis of Lung Adenocarcinoma Without Driver Mutation
Bibliographic record
Abstract
BACKGROUND: Neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR) and modified Glasgow prognostic score (mGPS) are useful prognostic markers based on host-related systemic inflammatory response. They have been shown as independent prognostic biomarkers in various cancers, including non-small cell lung cancer. However, there has been little evidence for a specific population of pulmonary adenocarcinoma without active epidermal growth factor receptor (EGFR) mutation. METHODS: We retrospectively reviewed 159 patients who met the following criteria: histologically or cytologically diagnosed adenocarcinoma, confirmed wild-type EGFR, started first-line cytotoxic chemotherapy between July 2007 and March 2017 at our hospital, and c-stage IIIB or IV. We compared overall survival (OS) between dichotomized groups by the optimal cut-off points of NLR and LMR, and mGPS 0 - 1 vs. 2. Univariate and multivariate Cox proportional hazard analyses also detected prognostic factors for OS. RESULTS: As favorable prognostic factors for OS, multivariate analysis detected Eastern Cooperative Oncology Group performance status (ECOG PS) 0 - 1 (hazard ratio (HR) 3.43, 95% confidence interval (CI): 2.12 - 5.53; P < 0.01), LMR ≥ 1.97 (HR 0.39, 95% CI: 0.21 - 0.72; P < 0.01) and mGPS 0 - 1 (HR 1.95, 95% CI: 1.20 - 3.16; P < 0.01). The OS of LMR ≥ 1.97 and mGPS 0 - 1 groups were significantly longer than those of LMR < 1.97 and mGPS 2 groups, respectively. We divided 159 patients into three groups, both LMR ≥ 1.97 and mGPS 0 - 1, either LMR ≥ 1.97 or mGPS 0 - 1 and both LMR < 1.97 and mGPS 2. The OS of both LMR < 1.97 and mGPS 2 was significantly shorter than the other two groups. After adjustment for age, sex, ECOG PS, sodium, alkaline phosphatase and NLR, multivariate analysis found both LMR < 1.97 and mGPS 2 as an independent poor prognostic combination in comparison with both LMR ≥ 1.97 and mGPS0-1 (HR 5.98, 95% CI: 2.64 - 13.5; P < 0.01). CONCLUSIONS: LMR and mGPS are independent prognostic markers for pulmonary adenocarcinoma with wild-type EGFR. Combination of LMR and mGPS can stratify patients according to prognosis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".