Evidence map›Paper›PMID 38862695›Full record

ReviewCurrent treatment options in oncology2024

Promising Therapeutic Targets for Recurrent/Metastatic Anaplastic Thyroid Cancer.

Abdelrahman Sherif Abdalla, Mobeen Rahman, Saad A Khan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current treatment options in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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  4. Review
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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.

Abdelrahman Sherif AbdallaDepartment of Internal Medicine, AdventHealth, Sebring, Florida, USA.
Mobeen RahmanDepartment of Pathology, Stanford University, Stanford, CA, USA.
Saad A KhanDivision of Oncology, Department of Medicine and Stanford Cancer Institute, Stanford University, 780 Welch Road, CJ250L, Stanford, CA, 94304, USA. Dr.Saad.Khan@Stanford.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementAnaplastic thyroid cancer presents formidable challenges, particularly in cases of recurrence or metastasis. Timely BRAF V600E testing is imperative at diagnosis, initially through immunohistochemistry, followed by comprehensive genomic profiling encompassing genes such as NTRK, RET, ALK, and assessment of tumor mutation burden (TMB). FDA-approved treatment options include dabrafenib and trametinib for patients with BRAF mutations, while those exhibiting high TMB may benefit from pembrolizumab. Further therapeutic decisions hinge upon mutational profile, urgency of response required, airway integrity, and access to targeted therapies There is growing use of immunotherapy for ATC based on published reports of activity, but currently there is no FDA approved agent for ATC. The off-label utilization of "precision medicine" combinations imposes a considerable financial strain, underscoring the necessity for further clinical trials to elucidate promising therapeutic avenues for this orphan disease. There is a pressing need for the development and support of clinical trials investigating genomically driven and immune-based therapies for anaplastic thyroid cancer.

Indexed as

Molecular Targeted TherapyNeoplasm Recurrence, LocalThyroid Carcinoma, AnaplasticBiomarkers, TumorDisease ManagementDisease SusceptibilityHumansMutationNeoplasm MetastasisThyroid NeoplasmsTreatment OutcomeBiomarkers, TumorAnaplastic thyroid cancerATCATC genetic mutationOncogenic driversPrecision oncologyProficient DNA mismatch repairRecurrent ATCTargeted therapyTumor microenvironment

Identifiers

What OpenQuestion holds

Textmetadata
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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.