Case Reports of Cancer Patients with Hepatic Metastases Treated by Standardized Plant Immunomodulatory Preparations
Bibliographic record
Abstract
Background:Metastatic hepatocellular carcinoma often has a multifocal tumor pattern with markedly depressed hepatic function. Hepatic resection in many cases results in no long-term benefit. After a chemotherapy hepatic tumors rarely disappear completely and the duration of responses is short. In the last decades growing evidence suggested that a disturbed balance in the innate system can also play a role in the poor prognosis of hepatic tumors. Objectives:The aim of this article is to present and discuss several favorable clinical responses of patients with hepatic metastases who parallel to conventional oncologic therapy, were treated with immunologically effective and standardized plant extracts. Course of Therapy and Results: In accordance with the bell-shaped dose-response relationship of mistletoe lectins (MLs), the patients were treated with a fermented mistletoe extract (ME) preparation, standardized for the active sugar-binding lectin contents. Thus, an optimal dose between 0.5 and 1.0ng/kg MLs was given twice a week subcutaneously. In addition to ML therapy, a heteropolysaccharide rice bran preparation standardized for arabinoxylan (12-45mg/kg MGN-3/BiobranR twice a week) and wheat germ extract (WGE) standardized for 2, 6-dimethoxy-p-benzoquinone (50-80mg/kg AvemarR four times a week) was also given. In these case reports the clinical progress of seven patients showed a complete or nearly complete remission of hepatic metastases. Conclusion:ML, MGN-3 and WGE seem to be potent candidates to be regarded as a supportive therapy to surgery, hormone treatment or chemotherapy for patients with hepatic metastases. These case reports require further clinical studies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".