One of the difficulties encountered with the treatment of human B cell malignancies with anti-Id antibodies is the emergence of Id variants. The current study was designed to investigate this phenomenon further by using the murine B cell lymphoma model 38C13. Tumors were harvested that developed despite treatment with the anti-Id antibody S1C5 in mice inoculated with 38C13 cells and evaluated by immunofluorescence. Various phenotypes were found among escaping tumor cells. Some cells continued to react with S1C5 whereas others lost S1C5 reactivity. Among these latter cells, some continued to express surface IgM kappa, whereas others no longer expressed surface mu or kappa. After Id variant cell lines were established, immunofluorescence and ELISA of cell lysates from the surface IgM kappa- lines revealed persistent intracellular mu H chain but no detectable kappa. Surface IgM kappa+ lines were fused with myeloma cells and the Ig proteins secreted by the resultant hybridomas analyzed. The apparent m.w. of the mu-chains of these rescued Ig was the same as wild-type 38C13, whereas the kappa-chains were either the same or different in m.w. from the wild type. The IgM kappa of the variant line, T3C, weakly reacted with S1C5 and did not react with other anti-Id antibodies. The IgM kappa of the other variants were nonreactive with all the antibodies. Immunofluorescence of these surface Ig+ variants confirmed this finding. Some of the surface Ig+ and Ig- variant lines grew identically to wild-type tumor in vivo, but only the weakly S1C5-reactive variant T3C was inhibited in its growth by S1C5. Moreover, T3C was the only one of these lines capable of being lysed in vitro with S1C5 by antibody-dependent cellular cytotoxicity. Further studies revealed that surface Ig+ and Ig- variants emerge in escaping tumors with similar frequency and that these variants represent a major mode of tumor escape from anti-Id treatment in this model.
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 October 2017.
All research outputs
#12,347,312
of 34,365,356 outputs
Outputs from The Journal of Immunology
#19,084
of 35,991 outputs
Outputs of similar age
#17,946
of 76,099 outputs
Outputs of similar age from The Journal of Immunology
#63
of 140 outputs
Altmetric has tracked 34,365,356 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 35,991 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 76,099 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
