Abstract 3689: Mutation spectrum of MEF cells transformed by overexpression of novel activating KRAS mutation candidates in lung adenocarcinoma
Bibliographic record
Abstract
Abstract Lung adenocarcinoma (LUAC) is a unique lung cancer subtype that is responsive to several therapeutic agents. The KRAS gene is the second most frequently mutated gene in LUAC and the majority of KRAS mutations are one of three classical activating mutations (G12, G13, and Q61). Recently, we have characterized other types of “minor” KRAS mutation (A66T, A66V, and G75E) identified among LUAC patients and found these three mutants had tumor-forming activity in mouse embryonic fibroblasts in an allograft model. RNA-Seq analysis revealed that mouse embryonic fibroblasts overexpressing these three minor KRAS mutations have distinct expression profiles compared with overexpression of the wild type but similar expression profiles compared with overexpression of the classical KRAS mutants, G12V. In this study, we have searched candidate somatic genetic alterations in the RNA-seq data and will discuss the impact of the mutations in KRAS carcinogenesis. Citation Format: Jiro Abe, Nobuhiro Tanuma, Miyuki Nomura, Shin Ito, Isao Kasugai, Ikuro Sato, Keiichi Tamai, Mai Mochizuki, Kazunori Yamaguchi, Hiroshi Shima, Yoshinori Okada, Jun Yasuda. Mutation spectrum of MEF cells transformed by overexpression of novel activating KRAS mutation candidates in lung adenocarcinoma [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3689.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 0.001 |
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".