Bibliographic record
Abstract
Abstract Breast cancer is the most common malignancy and the second most common cause of cancer related death in women. HER2+ over-expressing (HER2+) tumors comprise 20% to 25% of all cases and are associated with a poor prognosis. The discovery of HER2 monoclonal antibody-based therapeutics has greatly improved patient prognosis. However, patients suffer relapse and de novo resistance. Thus it is important to determine additional therapeutic targets in HER2+ breast cancer that might be used in combination with current therapies to improve patient survival. SHP2 (PTPN11) is a non-receptor protein-tyrosine phosphatase (PTP) that contains two SH2 domains at its N-terminus, a central PTP domain and a C-terminal proline-rich tail. Previous studies suggest that Shp2 is required for Ras/Erk signaling downstream of most growth factor receptors and integrins. Heterozygous germ-line PTPN11 mutations cause Noonan Syndrome and LEOPARD syndrome, which are associated with leukemia and cancer predisposition. Somatic PTPN11 mutations cause juvenile myelomonocytic leukemia (JMML) and several other neoplasms. We have discovered that Shp2 is required in Neu-mediated tumorigenesis in the MMTV-NIC mouse model; furthermore, SHP2-depleted human HER2+ BT-474 has defective tumorigenesis in nude mice. SHP2 is required in anchorage-independent growth in 4 HER2+ breast cancer cell lines, though its effect on growth on plastics appears minimal. I hypothesize that SHP2 is required for HER2+ breast tumor initiation and maintenance. I further hypothesize that SHP2 functions through specific substrates/interacting proteins in HER2+ breast cancer cells, possibly molecules that are involved in anchorage-independent proliferation. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2150. doi:1538-7445.AM2012-2150
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.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".