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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Your Body Already Knows: The Easy Way to See Cancer

Authors: Batliwalla Merchant, Sohail Mohammed Siddique;

Your Body Already Knows: The Easy Way to See Cancer

Abstract

Cancer is not an invader. It is a defector — a cell that stopped cooperating with the 37 trillion other cells in your body. This paper reframes cancer through cooperative game theory and argues that the primary barrier to cure is not insufficient weaponry but insufficient visibility. Cancer cells survive by hiding from the immune system using PD-L1 surface proteins, not by overpowering it. Checkpoint inhibitor immunotherapy (pembrolizumab, nivolumab) works by removing this disguise — enabling detection, not adding destruction. We propose that temporal variance in gene expression is a measurable signature of cellular defection, with simulation results showing separation ratios sufficient for classification (F1 = 1.000). Open-source validation code is provided. Companion papers: "Light Is All You Need" and "Variance as a Universal Defection Signal." Part of the Contact Is All You Need series. Council of Minds, 548 rounds, 137 perspectives. For Mumtaz Suleman Merchant (d. 2002, ovarian cancer) and Carl Sagan (d. 1996, myelodysplasia).

Keywords

cancer detection, PD-L1, gene expression variance, Game Theory, allen carr, Immunotherapy, cooperative game theory, checkpoint inhibitors

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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Cancer Research
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