Evidence map›Paper›PMID 37317665›Full record

ArticleClinical and translational medicine2023

Integrated metabolic and genetic analysis reveals distinct features of human differentiated thyroid cancer.

Eduardo Cararo Lopes, Akshada Sawant, Dirk Moore, Hua Ke, Fuqian Shi, Saurabh Laddha, Ying Chen, Anchal Sharma, Jake Naumann, Jessie Yanxiang Guo and 13 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 18 citations in OpenAlex.

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  4. Mechanistic insights into ferroptosis in thyroid cancer and its therapeutic implications.Apoptosis : an international journal on programmed cell death · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 1 institution in 2 countries.

Eduardo Cararo LopesRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.ORCID https://orcid.org/0000-0002-5316-5146
Akshada SawantRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Dirk MooreRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Hua KeRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Fuqian ShiRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Saurabh LaddhaRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Ying ChenRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Anchal SharmaRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Jake NaumannRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Jessie Yanxiang GuoRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Maria GomezRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Maria IbrahimRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Tracey L SmithRutgers Cancer Institute of New Jersey, Newark, New Jersey, USA.
Gregory M RiedlingerRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Edmund C LattimeRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Stanley TrooskinDepartment of Surgery, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA.
Shridar GanesanRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Xiaoyang SuRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Renata PasqualiniRutgers Cancer Institute of New Jersey, Newark, New Jersey, USA.
Wadih ArapRutgers Cancer Institute of New Jersey, Newark, New Jersey, USA.
Subhajyoti DeRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Chang S ChanRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Eileen WhiteRutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA.
Rutgers, The State University of New Jersey · US

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Tracie Saunders · 1997 to 2026
$94.5M
Impact of mutation burden on cancer growth and the immune landscapeR01CA243547 · NCI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI WHITE, EILEEN P. · 2020 to 2024
$3.2M
Computational approaches for identifying epigenomic contexts of somatic mutationsR01GM129066 · NIGMS · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI DE, SUBHAJYOTI · 2019 to 2023
$1.7M
NCI NIH HHS P30 CA072720NCI NIH HHS R01 CA243547NIGMS NIH HHS R01 GM129066
6 · The paper itself

Abstract

backgroundDifferentiated thyroid cancer (DTC) affects thousands of lives worldwide each year. Typically, DTC is a treatable disease with a good prognosis. Yet, some patients are subjected to partial or total thyroidectomy and radioiodine therapy to prevent local disease recurrence and metastasis. Unfortunately, thyroidectomy and/or radioiodine therapy often worsen(s) quality of life and might be unnecessary in indolent DTC cases. On the other hand, the lack of biomarkers indicating a potential metastatic thyroid cancer imposes an additional challenge to managing and treating patients with this disease.

aimThe presented clinical setting highlights the unmet need for a precise molecular diagnosis of DTC and potential metastatic disease, which should dictate appropriate therapy. MATERIALS AND

methodsIn this article, we present a differential multi-omics model approach, including metabolomics, genomics, and bioinformatic models, to distinguish normal glands from thyroid tumours. Additionally, we are proposing biomarkers that could indicate potential metastatic diseases in papillary thyroid cancer (PTC), a sub-class of DTC.

resultsNormal and tumour thyroid tissue from DTC patients had a distinct yet well-defined metabolic profile with high levels of anabolic metabolites and/or other metabolites associated with the energy maintenance of tumour cells. The consistency of the DTC metabolic profile allowed us to build a bioinformatic classification model capable of clearly distinguishing normal from tumor thyroid tissues, which might help diagnose thyroid cancer. Moreover, based on PTC patient samples, our data suggest that elevated nuclear and mitochondrial DNA mutational burden, intra-tumour heterogeneity, shortened telomere length, and altered metabolic profile reflect the potential for metastatic disease. DISCUSSION: Altogether, this work indicates that a differential and integrated multi-omics approach might improve DTC management, perhaps preventing unnecessary thyroid gland removal and/or radioiodine therapy.

conclusionsWell-designed, prospective translational clinical trials will ultimately show the value of this integrated multi-omics approach and early diagnosis of DTC and potential metastatic PTC.

Indexed as

AdenocarcinomaThyroid NeoplasmsHumansIodine RadioisotopesNeoplasm Recurrence, LocalProspective StudiesQuality of LifeTelomereTelomere ShorteningIodine Radioisotopesintra-tumour heterogeneitymetabolismmetastasesthyroid cancer

Identifiers

PMID37317665
PMCPMC10267429
OpenAlexW4380730450

What OpenQuestion holds

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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.