Evidence map›Paper›PMID 42830853›Full record

ReviewEClinicalMedicine2026

Tumour-agnostic immunotherapy: aligning biological rationale, biomarker precision, and real-world implementation.

Jia Liu, Juliana Beal, Niamh Coleman, James Lynam, Vivek Subbiah

Abstract readReview
In one paragraph

Review in EClinicalMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jia LiuThe Kinghorn Cancer Centre, St Vincent's Hospital, Sydney, NSW, Australia.
Juliana BealHospital Israelita Albert Einstein, Sao Paulo, Brazil.
Niamh ColemanTrinity St. James's Cancer Institute, James Street, Dublin 8, Ireland.
James LynamCancer Institute NSW, Australia.
Vivek SubbiahStanford Cancer Institute, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumour-agnostic immunotherapy has reshaped precision oncology by showing that treatment benefit can, in selected settings, be predicted by a shared biological state rather than anatomical origin. Microsatellite instability-high or mismatch repair-deficient cancer is the clearest example, with durable responses across diverse malignancies. By contrast, broader biomarkers show that pan-cancer applicability cannot be inferred from a measurable molecular feature alone. Tumour lineage, antigen presentation, immune microenvironment, prior therapy, and health-system context all influence whether a tumour-agnostic indication translates into real-world benefit. We examine the biological principles that distinguish robust from context-dependent immunotherapy biomarkers, the uncertainty created by rare cancers and incomplete evidence, and the implementation challenges that arise when therapeutic access outpaces biomarker infrastructure. Using Australia's broad reimbursement of immune checkpoint inhibitors for immunotherapy-sensitive advanced cancers as a case study, we consider implications for emerging pan-tumour platforms. We argue for biologically informed access embedded within learning health systems.

Indexed as

Health-system implementationImmune checkpoint inhibitorsPrecision oncologyRare cancersTumour-agnostic therapy

Identifiers

PMID42830853
PMCPMC13634099

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.