Evidence map›Paper›PMID 37887570›Full record

ReviewCurrent oncology (Toronto, Ont.)2023

Genomic Profiling and Molecular Characterization of Clear Cell Renal Cell Carcinoma.

Gaetano Pezzicoli, Federica Ciciriello, Vittoria Musci, Francesco Salonne, Anna Ragno, Mimma Rizzo

Open access · goldAbstract readReview
In one paragraph

Review in Current oncology (Toronto, Ont.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. 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

6 authors at 2 institutions in 1 country.

Gaetano PezzicoliDepartment of Interdisciplinary Medicine, University of Bari "Aldo Moro", 70124 Bari, Italy.ORCID 0000-0002-5491-0590
Federica CicirielloDepartment of Interdisciplinary Medicine, University of Bari "Aldo Moro", 70124 Bari, Italy.
Vittoria MusciDepartment of Interdisciplinary Medicine, University of Bari "Aldo Moro", 70124 Bari, Italy.
Francesco SalonneDepartment of Interdisciplinary Medicine, University of Bari "Aldo Moro", 70124 Bari, Italy.
Anna RagnoMedical Oncology Unit, Azienda Ospedaliera Universitaria Consorziale, Policlinico di Bari, 70124 Bari, Italy.
Mimma RizzoMedical Oncology Unit, Azienda Ospedaliera Universitaria Consorziale, Policlinico di Bari, 70124 Bari, Italy.
University of Bari Aldo Moro · ITAzienda Universitaria Ospedaliera Consorziale - Policlinico Bari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) treatment has undergone three major paradigm shifts in recent years, first with the introduction of molecular targeted therapies, then with immune checkpoint inhibitors, and, more recently, with immune-based combinations. However, to date, molecular predictors of response to targeted agents have not been identified for ccRCC. The WHO 2022 classification of renal neoplasms introduced the molecularly defined RCC class, which is a first step in the direction of a better molecular profiling of RCC. We reviewed the literature data on known genomic alterations of clinical interest in ccRCC, discussing their prognostic and predictive role. In particular, we explored the role of VHL, mTOR, chromatin modulators, DNA repair genes, cyclin-dependent kinases, and tumor mutation burden. RCC is a tumor whose pivotal genomic alterations have pleiotropic effects, and the interplay of these effects determines the tumor phenotype and its clinical behavior. Therefore, it is difficult to find a single genomic predictive factor, but it is more likely to identify a signature of gene alterations that could impact prognosis and response to specific treatment. To accomplish this task, the interpolation of large amounts of clinical and genomic data is needed. Nevertheless, genomic profiling has the potential to change real-world clinical practice settings.

Indexed as

Antineoplastic AgentsCarcinoma, Renal CellKidney NeoplasmsGenomicsHumansPhenotypeAntineoplastic Agentschromatin modulatorsDNA repair genesgenomic profilingliquid biopsymolecular tumor boardmTORrenal cell carcinomaVHL

Identifiers

PMID37887570
PMCPMC10605358
OpenAlexW4387837003

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.