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Cancer Genomics and Insurance: The New Frontier of Risk and Resilience
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Estimated Reading Time: 5 minutes
Overview
Cancer remains one of the defining challenges of modern medicine, but the battlefront is shifting. For actuaries in life and health insurance, the transformation carries profound implications. The traditional pillars of surgery, radiation, and chemotherapy are giving way to innovations rooted in genomics and immunology. These advances are extending survival in cancers once deemed untreatable, while also raising new questions about affordability, access, and the actuarial balance between risk, cost, and equity.

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Tumor Genomics and the Immunotherapy Revolution
The 2019 Society of Actuaries report on cancer genomics marked a turning point in actuarial awareness. It highlighted the potential of tumor mutational burden testing and immuno-oncology drugs to reshape outcomes in lung cancer, melanoma, and glioblastoma. At the time, five-year survival for late-stage patients hovered around 20%. Early clinical trials combining genomic profiling with checkpoint inhibitors like Keytruda demonstrated survival gains of 20 percentage points or more.
By 2025, immunotherapy has become a mainstream treatment, targeting the PD-1/PD-L1 pathway to unlock the body’s immune defenses. Actuarially, this shift redefines cancer from an almost uniformly terminal event into a chronic, long-tail risk. Patients once expected to die within months are surviving for years, some plateauing into durable remission. Yet the costs remain staggering, six-figure therapies that bring both uncertainty and hope. Pricing models must weigh massive upfront expenditures against the potential for reduced mortality claims and improved long-term survivorship.

The Economics of Hope and Cost
Immunotherapy is not the only driver of change. CAR-T therapies that re-engineer a patient’s T-cells, oncolytic viruses that weaponize pathogens against tumors, and CRISPR-based edits to immune cells all signal a future of personalized, high-cost medicine. Many of these still exceed half a million dollars per patient. By contrast, immunotherapy paired with genomic profiling has scaled more widely, with costs moderating slightly as competition grows.
For actuaries, projecting these trends is delicate. Claims experience is already diverging from expectations set in older underwriting blocks, where shorter survival assumptions dominated. Non-small cell lung cancer; once nearly uniformly fatal, now shows five-year survival in 40% of patients on immunotherapy. This means fewer-than-expected death claims, but higher morbidity costs from chronic management, imaging, and secondary treatments. The actuarial balance sheet is being rewritten in real time.

Early Detection and Predictive Genomics
If treatment is one revolution, early detection may prove even more transformative. Liquid biopsies and multi-cancer early detection (MCED) tests are moving into clinical practice, identifying cancers at earlier, more treatable stages, or even signaling risk before disease manifests. For insurers, this is a double-edged sword. Earlier detection reduces late-stage costs and death claims, but also drives up diagnostic spending and risks of over-treatment.
Swiss Re has suggested that MCED adoption could fundamentally reshape underwriting, shifting the central question from “Does the applicant have cancer today?” to “Does their genomic profile predict cancer tomorrow?” Regulators are grappling with whether insurers should be permitted to use such information. In many jurisdictions, applicants may know far more about their risk than insurers, flipping information asymmetry and straining the principle of pooled risk.

Fairness, Equity, and Ethics
The genomic revolution also magnifies inequities. High-cost therapies and advanced diagnostics are far more accessible in high-income markets. For insurers, this disparity creates potential anti-selection, as wealthier policyholders leverage genomic knowledge to optimize coverage. Actuaries cannot ignore the fairness dimension: insurance relies on risk sharing, but genomics risks stratifying populations into the informed and the uninformed. Product design, disclosure rules, and regulatory frameworks will shape how equity is maintained or eroded.

The Actuarial Control Cycle in Genomics
The actuarial control cycle remains the profession’s compass. Risk assessment must integrate not only historical claims but also dynamic clinical evidence. Pricing models must reflect both higher treatment costs and improved survival. Product design should evolve toward living benefits, cancer-specific riders, and policies that address chronic survivorship. Feedback loops through constant monitoring of clinical trial data, drug approvals, and regulatory shifts are critical to keeping models relevant in a rapidly evolving field.
As AI and machine learning are applied to genomic analysis, governance becomes central. Questions of bias, explainability, and fairness will demand actuarial attention. The profession’s emphasis on transparency and public interest positions actuaries as key stewards of responsible adoption.

Global Divergence and Leapfrogging
Cancer care is not evolving uniformly. In developing countries, innovations are being adapted to local contexts. Pakistan’s Jinnah Postgraduate Medical Centre offers CyberKnife radiosurgery and PET CT imaging free within the public system. Partnerships with Chinese firms are introducing tumor heating and freezing therapies at scale. India and Türkiye are piloting cost-effective radiotherapy hubs. These regional approaches will create divergent actuarial realities: one shaped by biologics and genomic medicine, the other by device-driven and pragmatic innovations.

Conclusion: Cautious Optimism
Genomics is rewriting the story of cancer, from terminal diagnosis to chronic survivorship, from blunt averages to personalized risk. For actuaries, it is both an opportunity and a challenge: to refine assumptions, balance solvency with fairness, and ensure insurance remains a stabilizing force in an era of disruptive medicine. The contours of cancer risk are changing, but with vigilance and adaptability, actuaries can ensure that hope itself becomes insurable.

How should insurers adapt to the rise of cancer genomics and high-cost therapies? |
PS: Last week’s newsletter explored how climate change is no longer a distant concern but an active force reshaping mortality and morbidity patterns, with direct implications for insurance. Using the actuarial control cycle as a lens, the article showed how heatwaves, declining air quality, and floods are already leaving measurable marks on claims, pricing, and solvency. It emphasized the need for actuaries to integrate climate projections, epidemiological models, and scenario testing into their work, illustrating with examples such as excess funeral claims during extreme summers. The key message was clear: tomorrow’s claims are already forming in today’s weather.
👉 If you missed the last week’s issue, you can find it here.
💥 AI Prompt of the Week
About This Prompt
This prompt helps actuaries prepare for high-impact networking or client meetings. By asking AI for guidance, they get tailored strategies, talking points, and confidence to approach conversations with purpose and professionalism.
The Prompt:
I’m meeting with John Doe (insert person’s name) for a networking call (insert purpose here, such as interview or client prospect). John works at Company ABC in the risk management department (insert department) as a Vice President (insert title). Please suggest how I should approach this meeting and give me some talking points tailored to his role and company.

🗨️ Try this prompt with MyActuary.ai and let us know how this prompt turned out for you in the comments.
💻 Actuary Tool of the week

The ChainLadder package in R is widely used for general insurance reserving and supports a broad set of methods. It includes deterministic techniques such as chain-ladder, additive loss development, Cape Cod, and Bornhuetter–Ferguson, as well as stochastic models like GLM ODP, bootstrap, Mack, and Munich chain-ladder. Although it was first developed in R, it has been made into a python package as well.
🏆 Featured Actuary Of The Week
![]() | Tom Schroeder is a Senior Consulting Actuary at Actuarial Resources Corporation (ARC), based in Overland Park, KS. He specializes in actuarial software implementations and improvements, particularly in Prophet, supporting domestic and international life insurers across IFRS 17, US Statutory, Solvency II, Embedded Value, and US GAAP frameworks. |
With a career focused on life insurance and annuities, including traditional, indexed, and variable products; Tom values the long-term client relationships he has built over more than five years, often turning projects into lasting partnerships and even friendships. His advice to aspiring actuaries is to ask questions and never hesitate to admit what they don’t know, as learning from others is a key part of growth. Outside of work, Tom is a devoted Nebraska football fan and enjoys family life with his wife and their four young children.
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