Evidence map›Paper›PMID 36945575›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Integrated metabolic and genetic analysis reveals distinct features of primary differentiated thyroid cancer and its metastatic potential in humans.

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 · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 2 institutions in 1 country.

Eduardo Cararo-LopesRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Akshada SawantRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Dirk MooreRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Hua KeRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Fuqian ShiRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Saurabh LaddhaRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Ying ChenRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Anchal SharmaRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Jake NaumannRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Jessie Yanxiang GuoRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Maria GomezRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Maria IbrahimRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Tracey L SmithRutgers Cancer Institute of New Jersey, Newark, NJ 07101, USA.
Gregory M RiedlingerRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Edmund C LattimeRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Stanley TrooskinDepartment of Surgery, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ 08903, USA.
Shridar GanesanRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Xiaoyang SuRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Renata PasqualiniRutgers Cancer Institute of New Jersey, Newark, NJ 07101, USA.
Wadih ArapRutgers Cancer Institute of New Jersey, Newark, NJ 07101, USA.
Subhajyoti DeRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Chang S ChanRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Eileen WhiteRutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903; USA.
Rutgers, The State University of New Jersey · USJohnson University · US

Funding

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
NCI NIH HHS R01 CA243547
6 · The paper itself

Abstract

Differentiated thyroid cancer (DTC) affects thousands of lives worldwide every 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) the quality of life and might be unnecessary in indolent DTC cases. This clinical setting highlights the unmet need for a precise molecular diagnosis of DTC, which should dictate appropriate therapy. Here we propose a differential multi-omics model approach to distinguish normal gland from thyroid tumor and to indicate potential metastatic diseases in papillary thyroid cancer (PTC), a sub-class of DTC. Based on PTC patient samples, our data suggest that elevated nuclear and mitochondrial DNA mutational burden, intratumor heterogeneity, shortened telomere length, and altered metabolic profile reflect the potential for metastatic disease. Specifically, normal and tumor thyroid tissues from these 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 tumor cells. 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. Well-designed, prospective translational clinical trials will ultimately show the value of this targeted molecular approach. TRANSLATIONAL RELEVANCE: In this article, we propose a new integrated metabolic, genomic, and cytopathologic methods to diagnose Differentiated Thyroid Cancer when the conventional methods failed. Moreover, we suggest metabolic and genomic markers to help predict high-risk Papillary Thyroid Cancer. Both might be important tools to avoid unnecessary surgery and/or radioiodine therapy that can worsen the quality of life of the patients more than living with an indolent Thyroid nodule.

Identifiers

PMID36945575
PMCPMC10029066
OpenAlexW4323825851

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.