Evidence map›Paper›PMID 39697715›Full record

ReviewTranslational cancer research2024

Management of translocation carcinomas of the kidney.

Yasser Ged, Ardit Feinaj, Ezra Baraban, Nirmish Singla

Abstract readReview
In one paragraph

Review in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Cancers · 2026
    Review
  4. Article
  5. Review
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

4 authors.

Yasser GedDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Ardit FeinajDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Ezra BarabanDepartment of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Nirmish SinglaDepartment of Urology, James Buchanan Brady Urological Institute, Johns Hopkins Medical Institutions, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microphthalmia-associated transcription factor family translocation renal cell carcinoma (MiT-tRCC) stands out as a rare subtype of kidney cancer with distinct biological features compared to other kidney cancer subtypes. It encompasses TFE3-rearranged RCC (also known as Xp11 translocation RCC) and TFE-rearranged translocations RCC, although multiple new fusion partners were identified. Traditionally thought to primarily affect children and young adults, more cases of MiT-tRCC are being identified in adults. It was first officially recognized in the 2004 World Health Organization (WHO) renal tumor classification and recently TFE3 (Xp11) rearrangement and TFEB alterations were included in the WHO 2022 "molecularly defined renal carcinomas" as a distinct group. This subtype is distinguished by gene fusions involving the MiT family of transcription factors. Recent strides in diagnostic and molecular sequencing assays have significantly enhanced our comprehension of these tumors, uncovering novel and distinct molecular features. The discovery of novel immune-checkpoint inhibitors and anti-angiogenic targeted therapies has notably broadened the therapeutic options for clear cell RCC. These advancements have prompted the consideration and study of these innovative therapies in translocation RCC. In this review, we offer an overview of translocation RCC and delve into the current strides in the management of this distinctive disease, highlighting the integration of recent breakthroughs in therapeutic approaches.

Indexed as

genomicsimmunotherapyRenal cell carcinoma (RCC)targeted therapytranslocation RCC

Identifiers

PMID39697715
PMCPMC11651741

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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.