GD2 is a Crucial Ganglioside in the Signal Modulation and Application as a Target of Cancer Therapeutics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
While various glycosphingolipids were identified as cancer-associated carbohydrate antigens to be used as tumor markers, disialylated gangliosides such as GD3 and GD2 have particularly attracted attention from many researchers as promising cancer-associated antigens. Simultaneously, their functions in cancer and normal tissues have also been reported. Although GD3 is expressed at the early neural developmental stage and in various cancers, it is also found in the activated status of some normal cells such as astrocytes and lymphocytes. On the other hand, GD2 is expressed in more restricted cells than GD3, enabling anti-GD2 immune therapy to be more applicable for immunotherapy. Recently, the expression of GD2 has been reported in various epithelial cancers and neuroectoderm-derived tumors. The involvement of GD2 in cancer stem cell propertiesand the roles of GD2 in the signal modulation to bring about cancer stemness are now some of the most fascinating research topics. Cancer immunotherapy targeting GD2 by anti-GD2 antibody or anti-GD2 CAR-T is now widely being challenged with various modifications such as combination with cytokines, chemotherapy, or immune checkpoint blocking.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 it