Why Don’t We Catch Cancer Before It Spreads?

Caught early, most common cancers are survivable; caught late, most are not. Yet only about one cancer in seven is found by screening, and most cancer deaths come from types with no screening test at all. Blood tests may change that, if they can find cancers early without flooding hospitals with false alarms.

Last updated October 2026
Figure 1 · Why timing decides

The same cancer, two different diseases

Five-year relative survival in the United States when a cancer is found while still localized, compared with after it has spread to distant organs.

Breast, found earlyLocalized>99%
Breast, found lateSpread to distant organs32%
Colon, found earlyLocalized91%
Colon, found lateSpread to distant organs13%
Lung (non-small cell), earlyLocalized67%
Lung (non-small cell), lateSpread to distant organs12%
Pancreas, found earlyLocalized44%
Pancreas, found lateSpread to distant organs3%

Measured SEER data reported by the American Cancer Society, for diagnoses in roughly 2013–2021 depending on cancer type. Survival statistics partly reflect when a cancer is found, not only how it is treated, so earlier detection does not automatically raise survival by the full gap shown.

The story in one paragraph

The difference between a cancer found early and one found late is often the difference between a cure and a death sentence: colon cancer caught while still localized has a 91% five-year survival rate, but only 13% once it has spread. We have proven screening tests for only a few cancers, though: breast, cervical, colorectal and, for heavy smokers, lung. Cancers without a recommended screening test account for about 70% of cancer deaths, and only about one cancer in seven is found by screening at all. Blood tests that look for fragments of tumour DNA promise to screen for dozens of cancers at once. In 2026 the largest trial of such a test, run by England’s NHS with more than 140,000 people, quadrupled the cancers found by screening and reported 14% fewer stage IV diagnoses for 12 prespecified cancers, but missed its main goal of reducing stage III and IV cancers combined. That mixed result captures the whole field: detection technology is advancing fast, and the hard part is proving that finding cancers earlier actually saves lives without harming the far larger number of healthy people tested.

  • About 57% of cancers diagnosed have no recommended screening test, and those cancers account for about 70% of cancer deaths (Measured, NORC analysis).
  • In the NHS-Galleri trial of 142,250 people, adding a multi-cancer blood test quadrupled screen-detected cancers and cut emergency diagnoses by 25%, but did not show a significant reduction in combined stage III–IV cancers, its primary endpoint (2026 trial results).
  • PATHFINDER 2 enrolled 35,878 adults; its September 2026 paper reports 60.3% positive predictive value and 99.64% specificity among 32,007 performance-analyzable participants. It was a prospective performance study, not a randomized mortality trial.
  • Low-dose CT screening reduced lung-cancer deaths by 20% in the U.S. NLST trial and 24% in the European NELSON trial, yet about one in five eligible Americans was screened in 2024 (Measured).

Trial results, company-reported study results and our own calculations are labelled. A test detecting more cancers is never treated as proof that it saves lives.

Part I: The arithmetic of screening

Most people tested do not have cancer

Screening tests healthy people, and in any year only around one in a hundred people over fifty has an undiagnosed cancer. That simple fact dominates everything else.

cancers found÷cancers found + false alarms=chance a positive result is cancer

Imagine testing 100,000 people, of whom about 1,000 have cancer. A test that catches 80% of cancers and wrongly flags 10% of healthy people finds 800 cancers and sends nearly 10,000 healthy people for scans and biopsies: fewer than one positive in thirteen is cancer (Derived). Raise specificity to 99.5% and the false alarms fall to about 500. This is why multi-cancer blood tests are designed for very high specificity, accepting that they will miss many early cancers, and why a single-cancer test with 90% specificity works only when the diagnostic pathway has demonstrated benefits that justify its costs and harms; colonoscopy is invasive and is not a cheap or risk-free follow-up.

The question survival statistics cannot answer

Earlier diagnosis can lengthen measured survival without extending life

Imagine a cancer that would be diagnosed at 68 and cause death at 70. A blood test finds it at 63, but treatment changes nothing. Survival after diagnosis rises from two years to seven, even though the person dies at the same age. This is lead-time bias. Screening also preferentially finds slower-growing cancers, which remain detectable longer, and can identify cancers that would never cause illness. These effects explain why the dramatic survival gap between localized and metastatic cancer is a reason to investigate screening, rather than a measurement of its benefit. NCI’s explanation of screening statistics

The right comparison follows comparable groups invited to screening or usual care and counts cancer deaths, harms and resource use. A sustained reduction in advanced disease can be an earlier signal, but it does not automatically establish fewer deaths. The diagnostic pathway also belongs in the intervention: a positive blood signal needs a located tumour, a confirmed diagnosis and timely effective treatment. Without those steps, a technically accurate result can consume clinical capacity without improving outcomes. NHS-Galleri performance paper, September 2026

The age example is hypothetical. Screening benefit should be assessed against mortality and harms; five-year survival alone cannot establish it.

Figure 2 · Interactive model

When a screening test says “cancer”, how often is it right?

In a population screen, almost everyone tested is healthy. Even a tiny false-alarm rate, applied to all of them, can outnumber the cancers found. Move specificity by a fraction of a percent and watch.

Multi-cancer blood test46%of positive results are cancer

Per 100,000 people tested

Cancers found
372
Cancers missed
828
False alarms needing follow-up
445
Follow-up workups per cancer found
2.2

Presets are illustrative approximations. The multi-cancer case uses the specificity and all-cancer episode sensitivity reported for the NHS-Galleri trial; the single-cancer case is a generic 83%-sensitive, 90%-specific test, not a replication of Shield. Shield’s specificity is defined for people without advanced neoplasia, a different denominator from this model’s people without cancer. Real test performance differs by stage, cancer type and follow-up definition.

Calculation & assumptions

For 100,000 people: cancers present = prevalence × people; cancers found = cancers present × sensitivity; false alarms = people without cancer × (1 − specificity). Positive predictive value = cancers found ÷ all positive results. This is Bayes’ rule applied to a single screening round. It ignores repeat testing, how quickly a positive is resolved, the accuracy of the predicted organ of origin and overdiagnosis, the detection of cancers that would never have caused harm.

Figure 2: An editorial model of screening arithmetic. It shows why specificity, and the prevalence of cancer in the people tested, matter as much as how many cancers a test can detect.
Part II: From a drop of blood to a cure

Detection is the first of six steps

A screening programme saves lives only if every step works: the signal, the test, the people tested, the follow-up, the treatment and the proof.

01

The tumour’s signal

Cancers shed DNA, proteins and cells into the blood, but small early tumours shed very little.

Measure
Tumour DNA per millilitre of blood by stage
Failure boundary
The cancers most worth catching early are the ones that leave the faintest trace.
Where the frontier moves

Reading several signals at once, such as DNA methylation patterns, fragment sizes and proteins.

02

The test

A screening test must catch cancers (sensitivity) while clearing healthy people correctly (specificity).

Measure
Sensitivity by stage · specificity · predicted organ of origin
Failure boundary
A false-alarm rate that looks tiny becomes thousands of unnecessary scans across a whole population.
Where the frontier moves

Multi-cancer blood tests with specificity above 99.5% and better sensitivity for early-stage disease.

03

Who gets tested

Screening works best in people at higher risk, where more of those tested actually have cancer.

Measure
Undiagnosed cancers per 1,000 people tested · uptake
Failure boundary
Testing low-risk people produces more false alarms per cancer found.
Where the frontier moves

Risk-based invitations using age, smoking history, family history and genetics.

04

Finding the tumour

A positive blood test must be followed by imaging and biopsy to locate and confirm the cancer.

Measure
Weeks from positive test to diagnosis · procedures per cancer found
Failure boundary
Diagnostic services already stretched by symptomatic patients can become a bottleneck.
Where the frontier moves

Tests that predict the organ of origin, which focuses follow-up on one part of the body.

05

Treating it early

The point of finding cancer early is that surgery or other treatment can then cure it.

Measure
Share of screen-detected cancers treated with curative intent
Failure boundary
Some early cancers are aggressive anyway; some would never have caused harm.
Where the frontier moves

Better ways to tell dangerous early cancers from harmless ones.

06

Proving it saves lives

Ultimately a screening programme is judged by whether fewer people die of cancer, not by how many cancers it finds.

Measure
Cancer deaths per 100,000 screened vs not screened
Failure boundary
Finding cancers earlier can make survival statistics look better without anyone living longer.
Where the frontier moves

Large randomised trials measuring late-stage incidence first and cancer deaths later.

Part III: What the trials show

More cancers found, earlier. Fewer deaths: not yet proven

Two large studies of the same multi-cancer blood test, Galleri, give the clearest picture of what the new technology can and cannot yet do.

NHS-Galleri, England, 2026

4×More cancers found by screening when the blood test was added to standard NHS screening (Measured).
−14%Stage IV diagnoses of 12 deadly cancers across three annual rounds, falling from 9% in round one to 26% in round three (Measured, nominally significant secondary endpoint).
1.03Ratio of combined stage III–IV cancers in the tested group to the control group: no reduction on the primary endpoint (Measured).

The test was positive in 0.91% of screening episodes, 52% of positives were confirmed cancers, and it correctly predicted the organ of origin 92.5% of the time. It caught about 55% of the 12 pre-specified deadly cancers and about 31% of all cancers. The growing stage IV reduction across rounds is encouraging, because screening benefits usually build as the backlog of prevalent cancers is cleared. But the trial was designed to show fewer late-stage cancers overall, and it did not. GRAIL reported a favorable FDA advisory-panel vote on 23 September 2026. That recommendation is separate from FDA approval and from proof of mortality benefit.

The screens that already work are underused

Proven screening saves lives now. Low-dose CT scanning of current and former heavy smokers cut lung-cancer deaths by 20–24% in two large trials. In 2024, between about 19% and 25% of eligible Americans were up to date with it, depending on the survey. Colorectal screening has also become easier: in July 2024 the FDA approved Guardant’s Shield, the first blood test cleared as a primary colorectal screening option, which detects 83% of colorectal cancers. A blood draw at a routine appointment may reach people who would never book a colonoscopy, provided those who test positive then get one.

Reading the 2026 evidence

Galleri’s mixed result is more informative than either headline

The NHS trial did not meet its primary goal of reducing combined stage III–IV diagnoses. GRAIL’s May presentation reported a 14% reduction in stage IV diagnoses of the 12 prespecified cancers overall, with larger reductions in later rounds. That secondary result is encouraging, but its inferential status and the failed primary endpoint belong in the same sentence. Cancer mortality follow-up remains necessary. Different screening rounds also represent different populations: the first searches an accumulated backlog, while subsequent rounds increasingly search for newly detectable disease. GRAIL’s May 2026 results factsheet

September’s peer-reviewed performance analysis puts numbers on that distinction. Positive predictive value fell from 58.0% in the first round to 50.4% and 45.8% in later rounds; all-cancer episode sensitivity ranged from 26.7% to 37.2%. These describe test performance, not a mortality benefit. A negative result therefore cannot exclude cancer or replace other screening. Meanwhile, the ACS estimates only one in five eligible Americans received lung screening in 2024. Expanding a proven programme offers a separate route to improvement while the multi-cancer evidence matures. Neal et al., Nature Medicine, September 2026; ACS’s 2024 lung-screening analysis

NHS-Galleri’s aggregate positivity denominator is screening episodes, not unique people. Advisory recommendations, regulatory authorization and proof of mortality benefit are separate milestones.

Use the screens we already have

Lung CT screening cuts lung-cancer deaths by a fifth to a quarter, yet only about one in five eligible Americans received it in 2024.

Guard specificity above all

In a population of mostly healthy people, every tenth of a percent of false positives matters more than a few points of sensitivity.

Test the people at highest risk

The same test is far more useful in a 70-year-old former smoker than in a healthy 40-year-old.

Build the diagnostic path first

A positive result is only useful if a scan and biopsy follow within weeks, not months.

Count deaths, not just detections

Stage shift is an early sign; fewer cancer deaths is the proof. Trials must run long enough to show it.

Respect overdiagnosis

South Korea’s thyroid cancer diagnoses rose about fifteenfold after widespread ultrasound screening, while deaths stayed flat. Finding more is not the same as helping more.

Who is building what

Blood-test developers, screening programmes and the trials that will decide whether new tests save lives. Search the record, or filter by role.

8 programmes
GRAILGalleriMulti-cancer detection from methylation patterns in cell-free DNA, with a predicted organ of origin
Reported evidence
PATHFINDER 2: 61.6% of positives were cancer at 99.6% specificity. NHS-Galleri: stage IV cancers down 14% across three rounds, but no reduction in combined stage III–IV.
Announced next step
FDA approval and evidence of fewer cancer deaths.
Unresolved risk
Low sensitivity for early-stage cancers; the primary endpoint of the largest trial was missed.
Guardant HealthShieldBlood test for colorectal cancer screening
Reported evidence
FDA approved in July 2024 as the first blood test for primary colorectal screening; 83% sensitivity for colorectal cancer.
Announced next step
Wider coverage and multi-cancer versions.
Unresolved risk
Lower detection of precancerous polyps than colonoscopy; positives must be followed by colonoscopy.
Exact SciencesCologuardHome stool DNA test for colorectal cancer
Reported evidence
FDA approved since 2014 and widely used, with an updated version approved in 2024.
Announced next step
Higher screening uptake among people who avoid colonoscopy.
Unresolved risk
False positives and the need for follow-up colonoscopy.
FreenomeBlood-based colorectal testMachine learning across several blood signals for colorectal cancer
Reported evidence
Evaluated in the large PREEMPT CRC validation study.
Announced next step
Regulatory approval and multi-cancer expansion.
Unresolved risk
Competing tests and modest detection of precancerous lesions.
NHS EnglandLung cancer screeningInvited low-dose CT screening for current and former smokers aged 55–74
Reported evidence
Grew from Targeted Lung Health Check pilots that found most cancers at an early stage.
Announced next step
Full national coverage by around 2030.
Unresolved risk
Radiology capacity and reaching people least likely to attend.
U.S. Preventive Services Task ForceLung screening recommendationAnnual low-dose CT for adults 50–80 with a 20 pack-year smoking history
Reported evidence
Recommendation expanded in 2021; uptake among eligible adults remained around one in five in 2024.
Announced next step
Higher uptake through primary care and outreach.
Unresolved risk
Eligibility is hard to identify from records; access gaps in rural areas.
National Cancer InstituteVanguard StudyA feasibility study of multi-cancer detection tests within the Cancer Screening Research Network
Reported evidence
Launched in 2025 to test how MCED tests can be studied in a large randomised trial.
Announced next step
A definitive trial of whether MCED screening reduces cancer deaths.
Unresolved risk
A mortality trial would take many years and very large numbers.
NHS-Galleri investigatorsLong-term follow-upContinued follow-up of 142,250 participants for late-stage incidence and mortality
Reported evidence
Full results presented in 2026 showed a growing stage IV reduction across rounds.
Announced next step
Evidence on cancer deaths.
Unresolved risk
Results may not translate to other health systems or test versions.

Sensitivity figures depend heavily on cancer stage and type. A test’s value is judged by stage shift first and, ultimately, by fewer cancer deaths in randomised trials.

An optimistic view, with conditions

Screening for most cancers is becoming technically possible

For the first time, a single blood test can detect dozens of cancer types, including many with no screening option, at approximately 99.5–99.6% specificity in the reported studies. If repeated screening keeps cutting stage IV diagnoses, and proven screens like lung CT reach the people eligible for them, many more cancers will be caught while they are still curable.

99.6%Specificity of the multi-cancer test in PATHFINDER 2 (Measured).
−26%Stage IV diagnoses of 12 deadly cancers in the third screening round of NHS-Galleri (Measured).
~1 in 5Eligible Americans screened for lung cancer in 2024: the cheapest gain available (Measured).
Now

Use proven screens fully

Raise lung, colorectal, breast and cervical screening uptake, with blood tests to reach people who avoid other options.

Next scale test

Stage shift that lasts

Multi-cancer tests must keep reducing late-stage cancers across repeated rounds, in more populations, with fast diagnostic follow-up.

Deep change

Cancer as a routine finding

Annual blood tests find most cancers while small and treatable, and fewer people die of cancers that were silent until too late.

Four numbers to watch

First, cancer deaths in the long-term follow-up of NHS-Galleri and similar randomised trials. Second, the stage IV reduction across successive screening rounds. Third, uptake of proven screening, especially lung CT among eligible smokers. Fourth, the specificity of blood tests in routine use, outside the controlled conditions of trials.

Sources, method, and boundaries

Survival figures are SEER data reported by the American Cancer Society. Test performance now includes peer-reviewed NHS-Galleri and PATHFINDER 2 papers published on 22 September 2026. Stage-shift results here are attributed to the May 2026 presentation; they do not establish a mortality benefit. The interactive model is a single-round application of Bayes’ rule and does not account for repeat screening, overdiagnosis or follow-up capacity.

Sensitivity
The share of people with cancer whom a test correctly flags.
Specificity
The share of people without cancer whom a test correctly clears.
Overdiagnosis
Diagnosing a cancer that would never have caused symptoms or death in the person’s lifetime.

Read More

Essays, books, talks, and research that shaped this field’s arguments. Influence is not endorsement; company communications and advocacy are labeled. Some publisher links require a subscription.

  1. Paper

    National Lung Screening Trial Research Team — Reduced lung-cancer mortality with low-dose CT screening (NEJM, 2011)

    The trial that established lung screening’s 20% reduction in lung-cancer deaths.

  2. Paper

    de Koning et al. — Reduced lung-cancer mortality with volume CT screening in a randomized trial (NEJM, 2020)

    The European NELSON trial’s confirmation of lung screening benefits.

  3. Company communication

    GRAIL — Full results from the NHS-Galleri trial (2026)

    The largest randomised trial of multi-cancer blood testing; read with its missed primary endpoint in mind.

  4. Essay

    ASCO Post — South Korean study sparks warnings about the hazards of overscreening

    The thyroid cancer case that shows why finding more cancer is not always better.

Across the fields: learning curves, deployment, and rebound