First-line drug selection versus sequential treatment in advanced pancreatic cancer: Does it really matter? Multi-institutional Canadian perspective.
Bibliographic record
Abstract
673 Background: Folfirinox (FFX) and Gemcitabine with nab-Paclitaxel (GN) are both proven to be superior to Gemcitabine (G) in the first line treatment (1LTx) for advanced pancreatic cancer (APC). Yet, the optimal 1LTx selection nor sequential Tx (ST) has not been fully established. Therefore, the best choice for 1LTx is a matter of debate often influenced by access to drugs. This analysis was conducted to compare outcomes based on 1Ltx selection and ST in APC. Methods: We assessed patients (pts) with APC who received either FFX or GN as 1LTx during 2010-2019 at three Canadian institutions. As well as the ST used. The main objective was to assess survival. Kaplan method and log-rank test were used for survival curves. Results: This retrospective study included 231 pts; 1LTx included 143 pts on FFX and 88 pts on GN. FFX pts were predominantly male; 89(62.2%) vs 46(52.3%) and slightly younger (median age 62 vs 66) than GN. WHO performance status (PS) of 0 were 38 (28.4%) vs 14 (16.5%) and 1 were 90 (67.2%) vs 65 (76.5%) respectively. There were more grade 3-4 toxicity in FFX vs GN group: GI 55 (38.5%) vs 15 (17%) and hematologic 51 (35.4%) vs 20 (22.7%) respectively. Grade 3-4 neutropenia rates were similar in both regimens. The median PFS of FFX was 5.5 months (95% CI: 5.0-6.7) vs 5.1 (95% CI: 3.8-7.1) with GN (p=0.37). The median OS with FFX was 9.3 months (95% CI: 7.5-11.1) vs 10.2 (95% CI: 6.8-11.3) with GN (p=0.81). There were not statically significant. Table shows Tx frequency across 4LTx. 2LTx and beyond regimens included G, GN, FFX, Capecitabine, Irinotecan liposome plus 5-FU, Irinotecan and clinical trials. Conclusions: Our results revealed that pts who received 1LTx FFX or GN had similar PFS and OS even though 1LTx FFX group was younger with better PS, allowing to continue 2-4LTx more frequently when compare with 1LTx GN group. Therefore, 1LTx selection appear to have more impact in our pts rather than ST, whereas GN is less toxic and seems a preferable 1LTx choice for most pts. FFX could be reserved for young high-performance pts. [Table: see text]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".