Evidence map›Paper›PMID 35630083›Full record

ReviewMedicina (Kaunas, Lithuania)2022

Sorafenib in Metastatic Papillary Thyroid Carcinoma with

Marianna Caterino, Mario Pirozzi, Sergio Facchini, Alessia Zotta, Antonello Sica, Giorgio Lo Giudice, Raffaele Rauso, Elisa Varriale, Fortunato Ciardiello, Morena Fasano

Open access · goldAbstract readCase ReportsReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 1 country.

Marianna CaterinoDivision of Oncology, Department of Precision Medicine, University of Campania, 80010 Naples, Italy.
Mario PirozziDivision of Oncology, Department of Precision Medicine, University of Campania, 80010 Naples, Italy.
Sergio FacchiniDivision of Oncology, Department of Precision Medicine, University of Campania, 80010 Naples, Italy.ORCID 0000-0003-0684-6683
Alessia ZottaDivision of Oncology, Department of Precision Medicine, University of Campania, 80010 Naples, Italy.
Antonello SicaDivision of Oncology, Department of Precision Medicine, University of Campania, 80010 Naples, Italy.ORCID 0000-0002-8676-4620
Giorgio Lo GiudiceMaxillofacial Surgery Unit, Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Via Pansini, 5, 80131 Naples, Italy.ORCID 0000-0001-9944-1073
Raffaele RausoHead and Neck Unit, Clinica Cobellis, 84078 Vallo della Lucania, Italy.ORCID 0000-0002-4497-3563
Elisa VarrialeDivision of Oncology, Fatebenefratelli Hospital, 80123 Naples, Italy.
Fortunato CiardielloDivision of Oncology, Department of Precision Medicine, University of Campania, 80010 Naples, Italy.
Morena FasanoDivision of Oncology, Department of Precision Medicine, University of Campania, 80010 Naples, Italy.ORCID 0000-0003-0782-8778
University of Campania "Luigi Vanvitelli" · ITFatebenefratelli Hospital · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differentiated thyroid cancer (DTC) includes papillary and follicular carcinomas and is the most common type of thyroid cancer. The incidence of this cancer has increased in the last few years, and even if its prognosis is generally good for a subset of patients that does not respond to radioactive iodine (RAI) therapy, the prognosis is much worse: the median overall survival (OS) from discovery of metastasis is 3-5 years and the 10-year survival rate is only 10%. Several mutations, including RAS or RET, as well as BRAF signaling, are associated with thyroid cancer. Liquid biopsy may be useful in selected patient to identify genomic alterations and thus allowing for a precision medicine approach with target therapy. Sorafenib, an oral multi-kinase inhibitor, can be used in the treatment of DTC. Case presentation: A 77 years old. man with diagnosis of metastatic DTC and evidence of presence of mutation of BRAF K601E on liquid biopsy was treated with sorafenib, showing a good response to the treatment and an improvement in the quality of life (QoL). Currently, this patient is still on treatment with sorafenib, gaining control of a multi-metastatic disease, generally characterized by a very poor prognosis. In conclusion, sorafenib has an active role in the treatment of DTC. It also has been considered the standard of care for patients with advanced unresectable hepatocellular carcinoma (HCC) and renal cell carcinoma (RCC). In our case we observe the efficacy of using sorafenib in Papillary thyroid carcinoma (PTC) such as confirming both stable disease (SD) in the CT scan as clinical benefit with an increase in QoL. Therefore, use of sorafenib remains an important treatment option, even in case of BRAF mutation, despite a rapidly evolving treatment landscape. It also seems important to perform liquid biopsies, especially in patients in whom it is not possible to repeat a new tissue biopsy. Ongoing clinical trials continue to evaluate sorafenib in different settings, and in combination with other therapies in DTC and HCC.

Indexed as

Carcinoma, HepatocellularKidney NeoplasmsLiver NeoplasmsThyroid NeoplasmsAgedHumansIodine RadioisotopesLiquid BiopsyMaleMutationProto-Oncogene Proteins B-rafQuality of LifeSorafenibThyroid Cancer, PapillaryBRAF protein, humanIodine RadioisotopesProto-Oncogene Proteins B-rafSorafenibdifferential thyroid cancer (DTC)sorafenibTKI

Identifiers

PMID35630083
PMCPMC9144761
OpenAlexW4280623854

What OpenQuestion 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 OpenQuestion graph.