Transfer of malignant trait to immortalized human cells following exposure to human cancer serum
Bibliographic record
Abstract
BACKGROUND: Human cancer cells can transfer signaling molecules to neighboring and distant cells predisposing them to malignant transformation. This process might contribute to tumor progression and invasion through delivery of oncogenes or inhibitors of tumor suppressor genes, derived from the primary tumor cells, to susceptible target cells. The oncogenic potential of human cancer serum has been described in immortalized mouse fibroblasts but has not been shown yet in human cells. The objective of this study was to determine whether metastatic cancer patient sera have the ability to induce neoplastic transformation in immortalized human embryonic kidney (HEK293) cells, human embryonic stem cells (hESCs), human mesenchymal stem cells (hMSCs) and human adult liver fibroblasts (hALFs). METHODS: Early passage HEK293 cells, hESCs, hMSCs and hALFs were exposed to cancer patient serum, or cancer cells-derived condition medium for 3 weeks. Treated cells were analyzed for cell proliferation and transformation both in vitro and in vivo. RESULTS: HEK293 cells exposed to cancer serum increased their proliferative capability and displayed characteristics of transformed cells, as evaluated by in vitro anchorage-independent growth assay and in vivo tumorigenesis in immunodeficient mice. The same phenotypes were acquired when these cells were cultured in cancer cell line conditioned medium suggesting that the putative oncogenic factors present in the serum might derive directly from the primary tumor. Histopathological analyses revealed that the tumors arising from cancer patient serum and conditioned medium-treated HEK293 cells were poorly differentiated and displayed a high proliferative index. In contrast, neither of these phenomena was observed in treated hMSCs and hALFs. Intriguingly enough, hESC-treated cells maintained their self-renewal and differentiation potentials, as shown by in vitro sphere formation assay and in vivo development of teratomas in immunodeficient mice. CONCLUSION: Our results indicate that cancer patients serum is able to induce oncogenic transformation of HEK293 cells and maintain the self-renewal of hESCs. To our knowledge, this is the first study that demonstrates the oncogenic transformation potential of cancer patient serum on human cells. In depth characterization of this process and the molecular pathways involved are needed to confirm its validity and determine its potential use in cancer therapy.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".