Evidence map›Paper›PMID 39192316›Full record

ArticleBiomarker research2024

A metabolite-based liquid biopsy for detection of ovarian cancer.

Johannes F Fahrmann, Seyyed Mahmood Ghasemi, Chae Y Han, Ranran Wu, Jennifer B Dennison, Jody Vykoukal, Joseph Celestino, Karen Lu, Zhen Lu, Charles Drescher and 4 more

Abstract readLetter
In one paragraph

Article in Biomarker research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. 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

14 authors.

Johannes F FahrmannDepartment of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Seyyed Mahmood GhasemiDepartment of Biostatistics, The University of Texas M.D. Anderson Cancer Center, 6767 Bertner Street, Houston, TX, 77030, USA.
Chae Y HanDepartment of Experimental Therapeutics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, 77030, USA.
Ranran WuDepartment of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Jennifer B DennisonDepartment of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Jody VykoukalDepartment of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Joseph CelestinoDepartment of Gynecological Oncology and Reproductive Medicine, The University of Texas M. D. Anderson Cancer Center, Houston, TX, 77030, USA.
Karen LuDepartment of Experimental Therapeutics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, 77030, USA.
Zhen LuDepartment of Experimental Therapeutics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, 77030, USA.
Charles DrescherTranslational Research Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Kim-Anh DoDepartment of Biostatistics, The University of Texas M.D. Anderson Cancer Center, 6767 Bertner Street, Houston, TX, 77030, USA.
Samir HanashDepartment of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Robert C BastDepartment of Experimental Therapeutics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, 77030, USA.
Ehsan IrajizadDepartment of Biostatistics, The University of Texas M.D. Anderson Cancer Center, 6767 Bertner Street, Houston, TX, 77030, USA. eirajizad@mdanderson.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serial CA125 and second line transvaginal ultrasound (TVS) screening in the UKCTOCS indicated a shift towards detection of earlier stage ovarian cancer (OvCa), but did not yield a significant mortality reduction. There remains a need to establish additional biomarkers that can complement CA125 for even earlier and at a larger proportion of new cases. Using a cohort of plasma samples from 219 OvCa cases (59 stage I/II and 160 stage III/IV) and 409 female controls and a novel Sensitivity Maximization At A Given Specificity (SMAGS) method, we developed a blood-based metabolite-based test consisting of 7 metabolites together with CA125 for detection of OvCa. At a 98.5% specificity cutpoint, the metabolite test achieved sensitivity of 86.2% for detection of early-stage OvCa and was able to capture 64% of the cases with low CA125 levels (< 35 units/mL). In an independent test consisting of 65 early-stage OvCa cases and 141 female controls, the metabolite panel achieved sensitivity of 73.8% at a 91.4% specificity and captured 13 (44.8%) out of 29 early-stage cases with CA125 levels < 35 units/mL. The metabolite test has utility for ovarian cancer screening, capable of improving upon CA125 for detection of early-stage disease.

Indexed as

BiomarkersEarly detectionMetabolitesOvarian cancer

Identifiers

PMID39192316
PMCPMC11350929

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Registered trials

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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.