Evidence map›Paper›PMID 36316952›Full record

Observational studyTumori2023

Multi-cancer early detection test sensitivity for cancers with and without current population-level screening options.

Spencer H Shao, Brian Allen, Jessica Clement, Gina Chung, Jingjing Gao, Earl Hubbell, Minetta C Liu, Charles Swanton, W H Wilson Tang, Habte Yimer and 1 more

Registry-linked trialOpen access · hybridAbstract readObservational Study
In one paragraph

Observational study in Tumori, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02889978 (The Circulating Cell-free Genome Atlas Study), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% of its field
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.

NCT02889978 unknown statusnot on this map

The Circulating Cell-free Genome Atlas Study

TypeobservationalSponsorGRAIL, Inc.Ran2016 to 2024Enrolled15,254ConditionsNeoplasms, Cancer
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Review
  5. Article
  6. Impact of Population Cancer Risk on the Cost-effectiveness of Multicancer Early Detection Testing in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

11 authors at 9 institutions in 2 countries.

Spencer H ShaoCompass Oncology, Portland, OR, USA.ORCID 0000-0002-8390-3824
Brian AllenGRAIL, LLC, a subsidiary of Illumina Inc., Menlo Park, CA, USA†.
Jessica ClementHartford Healthcare, Hartford, CT, USA.
Gina ChungThe Christ Hospital Health Network, Cincinnati, OH, USA.
Jingjing GaoGRAIL, LLC, a subsidiary of Illumina Inc., Menlo Park, CA, USA†.
Earl HubbellGRAIL, LLC, a subsidiary of Illumina Inc., Menlo Park, CA, USA†.ORCID 0000-0001-7301-3759
Minetta C LiuMayo Clinic, Rochester, MN, USA.
Charles SwantonThe Francis Crick Institute, London, UK.
W H Wilson TangCleveland Clinic, Cleveland, OH, USA.
Habte YimerTexas Oncology/USON, Tyler, USA.
Mohan TummalaMercy Springfield, Springfield, MO, USA.
Illumina (United States) · USCleveland Clinic · USCompass Oncology · USHartford Hospital · USHealth Net · USMayo Clinic in Arizona · USMercy Hospital Springfield · USTexas Oncology · USThe Francis Crick Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are four solid tumors with common screening options in the average-risk population aged 21 to 75 years (breast, cervical, colorectal, and, based on personalized risk assessment, prostate), but many cancers lack recommended population screening and are often detected at advanced stages when mortality is high. Blood-based multi-cancer early detection tests have the potential to improve cancer mortality through additional population screening. Reported here is a post-hoc analysis from the third Circulating Cell-free Genome Atlas substudy to examine multi-cancer early detection test performance in solid tumors with and without population screening recommendations and in hematologic malignancies. Participants with cancer in the third Circulating Cell-free Genome Atlas substudy analysis were split into three subgroups: solid screened tumors (breast, cervical, colorectal, prostate), solid unscreened tumors, and hematologic malignancies. In this post hoc analysis, sensitivity is reported for each subgroup across all ages and those aged ⩾50 years overall, by cancer, and by clinical cancer stage. Aggregate sensitivity in the solid screened, solid unscreened, and hematologic malignancy subgroups was 34%, 66%, and 55% across all cancer stages, respectively; restricting to participants aged ⩾50 years showed similar aggregate sensitivity. Aggregate sensitivity was 27%, 53%, and 60% across stages I to III, respectively. Within the solid unscreened subgroup, aggregate sensitivity was >75% in 8/18 cancers (44%) and >50% in 13/18 (72%). This multi-cancer early detection test detected cancer signals at high (>75%) sensitivity for multiple cancers without existing population screening recommendations, suggesting its potential to complement recommended screening programs.Clinical trial identifier: NCT02889978.

Indexed as

Colorectal NeoplasmsHematologic NeoplasmsAdultAgedCervix UteriEarly Detection of CancerFemaleHumansMaleMass ScreeningMiddle AgedNeoplasm StagingYoung Adultcancer screeningearly detectionepidemiology and preventionliquid biopsyMulti-cancer early detectionprecision medicine

Identifiers

PMID36316952
PMCPMC10248281
OpenAlexW4307843503

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.