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Record W1995261680 · doi:10.1159/000226674

Biochemical Classification of Circulating Immune Complexes in Human Malignant Melanoma and Hematologic Neoplasms

2009· article· en· W1995261680 on OpenAlexaff
W.D. Queen, Noor Bharwani, Elizabeth A. Phillips, Ben A. Ruether, Terry M. Phillips, M Jerry

Bibliographic record

VenueOncology · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHematologic NeoplasmsMelanomaImmune systemMedicineHematologyCancerLeukemiaImmunologyPathologyCancer researchInternal medicine

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.025
GPT teacher head0.296
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2009
Admission routes1
Has abstractyes

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