Biochemical Classification of Circulating Immune Complexes in Human Malignant Melanoma and Hematologic Neoplasms
Bibliographic record
Abstract
Circulating immune complexes (CIC) in human cancer are known to be very heterogeneous in size and composition. In 95 staged malignant melanoma patients and 71 individuals with leukemia and lymphoma, this heterogeneity was analyzed biochemically in sera positive for CIC. CICs were measured by a multiassay system and individual complexes were isolated and analyzed by immunological and biochemical methods. Analyses of sera from 100 normal individuals, from 25 rheumatoid women, and a group of 12 laboratory staff who work with human melanoma were included for comparison. Three basic patterns of complexes were identified circulating in the sera of the cancer patients. Type I are medium-sized (17-23S), complement-fixing complexes usually occurring in combinations. The prototype in melanoma contained IgG antibody and additional glycoprotein components and bound complement by the classical pathway. In hematological malignancies four subtypes could be identified depending on whether the antibody class was IgG or IgM, the nonimmunoglobulin component was glycoprotein or protein, and whether complement fixation occurred by the classical or alternate pathway. Type II complexes were noncomplement-fixing, medium-sized complexes (15-21S), which in melanoma contained IgG antibody and additional protein components. In the hematologic malignancies two subtypes could be identified depending on whether the antibody class was IgG or IgM. Both subtypes contained a glycoprotein nonimmunoglobulin component. Both melanoma and hematologic tumors had type III heavy complexes (36-44S) which were noncomplement-fixing and contained only immunoglobulin components, either IgG-IgG or IgM-IgG. As expected the rheumatoid arthritis patients frequently had both 7S and 21-23S CICs containing IgG as well as IgM rheumatoid factor with complement fixation via the classical pathway. No CICs were detected in normal young men and women (20-30 years); a few individuals in middle age (31-50 years) had small (7-11S) CICs which bound complement by the classical pathway and contained IgG and a protein nonimmunoglobulin component. The frequency of these 7S complexes increased with advancing age, with the appearance of 23S IgG-IgG or IgM-IgG complexes. IgG antibodies from only the melanoma patients reacted with cytoplasmic components of fresh melanoma cells, except the laboratory workers where all of their isolated CIC antibodies also reacted with melanoma cells. Thus the heterogeneity of complexes in melanoma is not random, but can be classified into three basic biochemical patterns. The hematologic group provides a slightly richer variation of subtypes within this basic scheme.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".