Back

Invasive cancer and spontaneous regression two weeks after papillomavirus infection

Bilger, A.; Ward-Shaw, E. T.; Lee, D. L.; King, R. E.; Newton, M. A.; Buehler, D.; Matkowskyj, K. A.; Sundberg, J. P.; Rong, H.; Lambert, P. F.

2024-09-07 cancer biology
10.1101/2024.09.04.611275 bioRxiv
Show abstract

Development of invasive cancer in mammals is thought to require months or years after initial events such as mutation or viral infection. Rarely, invasive cancers regress spontaneously. We show that cancers can develop and regress on a timescale of weeks, not months or years. Invasive squamous cell carcinomas developed in normal adult, immune-competent mice as soon as 2 weeks after infection with mouse papillomavirus MmuPV1. Tumor development, regression or persistence was tissue- and strain-dependent. Cancers in infected mice developed rapidly at sites also prone to papillomavirus-induced tumors and cancers in humans - the throat, anus, and skin - and their frequency was increased in mice constitutively expressing the papillomavirus E5 oncogene, which MmuPV1 lacks. Cancers and dysplasia in the throat and anus regressed completely within 4-8 weeks of infection; however, skin lesions in the ear persisted. T-cell depletion in the mouse showed that regression of throat and anal tumors requires T cells. We conclude that papillomavirus infection suffices for rapid onset of invasive cancer, and persistence of lesions depends on factors including tissue type and host immunity. The speed of these events should promote rapid progress in the study of viral cancer development, persistence, and regression. Summary Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=112 SRC="FIGDIR/small/611275v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@1da9642org.highwire.dtl.DTLVardef@1bef109org.highwire.dtl.DTLVardef@c2ba0eorg.highwire.dtl.DTLVardef@451baf_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.