Evidence map›Paper›PMID 35729321›Full record

ReviewNPJ precision oncology2022

Blood-derived lncRNAs as biomarkers for cancer diagnosis: the Good, the Bad and the Beauty.

Cedric Badowski, Bing He, Lana X Garmire

Open access · goldAbstract readReview
In one paragraph

Review in NPJ precision oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 4 pooled it
14.2field-weighted citation impact, top 1% 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.

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

121 citing papers in PubMed, 4 syntheses or guidelines pooled it, 163 citations in OpenAlex.

  1. Pooled it
  2. Combinatorial Gene Expression Profiling of SerumInternational journal of molecular sciences · 2024
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61 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Cedric BadowskiUniversity of Hawaii Cancer Center, Epidemiology, 701 Ilalo Street, Honolulu, HI, 96813, USA. cedricbadowski@gmail.com.ORCID http://orcid.org/0000-0002-5250-2104
Bing HeDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48105, USA.
Lana X GarmireUniversity of Hawaii Cancer Center, Epidemiology, 701 Ilalo Street, Honolulu, HI, 96813, USA. LGarmire@med.umich.edu.
University of Hawaiʻi at Mānoa · USUniversity of Michigan · US

Funding

Transgenic Mouse, ICSI and IVF CoreP20GM103457 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI URSCHITZ, JOHANN · 2012 to 2018
$12.9M
An Integrative Omics Approach to Identify Biomarkers Related to Preeclampsia and Breast Cancer RisksR01HD084633 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2016 to 2020
$3.0M
Cancer precision medicine through spatially informative single cell image and transcriptomics data analysisR01LM012373 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2016 to 2024
$2.4M
DR. EPS: Drug Repurposing for Extended Patient SurvivalR01LM012907 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2019 to 2022
$1.0M
An Integrative Bioinformatics Approach to Study Single Cancer Cell HeterogeneityK01ES025434 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2014 to 2018
$905k
NICHD NIH HHS R01 HD084633NIEHS NIH HHS K01 ES025434NIGMS NIH HHS P20 GM103457NLM NIH HHS R01 LM012373NLM NIH HHS R01 LM012907U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS) K01ES025434
6 · The paper itself

Abstract

Cancer ranks as one of the deadliest diseases worldwide. The high mortality rate associated with cancer is partially due to the lack of reliable early detection methods and/or inaccurate diagnostic tools such as certain protein biomarkers. Cell-free nucleic acids (cfNA) such as circulating long noncoding RNAs (lncRNAs) have been proposed as a new class of potential biomarkers for cancer diagnosis. The reported correlation between the presence of tumors and abnormal levels of lncRNAs in the blood of cancer patients has notably triggered a worldwide interest among clinicians and oncologists who have been actively investigating their potentials as reliable cancer biomarkers. In this report, we review the progress achieved ("the Good") and challenges encountered ("the Bad") in the development of circulating lncRNAs as potential biomarkers for early cancer diagnosis. We report and discuss the diagnostic performance of more than 50 different circulating lncRNAs and emphasize their numerous potential clinical applications ("the Beauty") including therapeutic targets and agents, on top of diagnostic and prognostic capabilities. This review also summarizes the best methods of investigation and provides useful guidelines for clinicians and scientists who desire conducting their own clinical studies on circulating lncRNAs in cancer patients via RT-qPCR or Next Generation Sequencing (NGS).

Identifiers

PMID35729321
PMCPMC9213432
OpenAlexW4283219748

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.