No Back-up Plan: Loss of Isozyme Diversity as a Promising Therapeutic Strategy for Cancer
Bibliographic record
Abstract
Metabolic rewiring in cancer cells supports many aspects of tumor growth. Understanding the mechanisms that result in metabolic rewiring, such as altered enzyme expression, is key to identifying therapeutic vulnerabilities that selectively target cancer cells. In this issue of Cancer Research, Marczyk and colleagues analyze matched tumor-normal enzyme expression across 14 different cancer types and report that cancer cells exhibit a general loss of isozyme diversity (LID) relative to corresponding normal tissue. The authors hypothesized that the presence of a cancer dominant isozyme may reduce metabolic plasticity and uniquely sensitize cancer cells to isozyme-specific inhibitors. Several LID targets were identified, including acetyl-CoA carboxylase 1 (ACC1), which the authors validated using a clinically available inhibitor of ACC1/2. This study is the first to systematically evaluate isozymes affected by LID, which represents a promising strategy to target the unique metabolic demands of cancer. See related article by Marczyk et al., p. 1698.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".