Evidence map›Paper›PMID 37373581›Full record

ReviewJournal of clinical medicine2023

Cellular and Molecular Players in the Tumor Microenvironment of Renal Cell Carcinoma.

Francesco Lasorsa, Monica Rutigliano, Martina Milella, Matteo Ferro, Savio Domenico Pandolfo, Felice Crocetto, Octavian Sabin Tataru, Riccardo Autorino, Michele Battaglia, Pasquale Ditonno and 1 more

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 1 pooled it
–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

88 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Bladder cancer risk factors: a comprehensive umbrella review of meta-analyses.International journal of surgery (London, England) · 2026
    Pooled it
  2. Review
  3. Tumor-Induced PDPNInternational journal of molecular sciences · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. A multi-omics prognostic model and functional validation ofTranslational andrology and urology · 2026
    Article
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  11. Review
  12. Review
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  19. Article
  20. Article

28 more citing papers are in PubMed but not listed here.

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

11 authors.

Francesco LasorsaUrology, Andrology and Kidney Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari "Aldo Moro", 70124 Bari, Italy.ORCID 0000-0001-8884-0757
Monica RutiglianoUrology, Andrology and Kidney Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari "Aldo Moro", 70124 Bari, Italy.
Martina MilellaUrology, Andrology and Kidney Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari "Aldo Moro", 70124 Bari, Italy.
Matteo FerroDivision of Urology, European Institute of Oncology, IRCCS, 71013 Milan, Italy.ORCID 0000-0002-9250-7858
Savio Domenico PandolfoDepartment of Neurosciences and Reproductive Sciences and Odontostomatology, University of Naples "Federico II", 80131 Naples, Italy.ORCID 0000-0001-9621-3059
Felice CrocettoDepartment of Neurosciences and Reproductive Sciences and Odontostomatology, University of Naples "Federico II", 80131 Naples, Italy.ORCID 0000-0002-4315-7660
Octavian Sabin TataruDepartment of Simulation Applied in Medicine, George Emil Palade University of Medicine, Pharmacy, Sciences and Technology, 540139 Târgu Mureș, Romania.ORCID 0000-0001-7057-7815
Riccardo AutorinoDepartment of Urology, Rush University Medical Center, Chicago, IL 60612, USA.ORCID 0000-0001-7045-7725
Michele BattagliaUrology, Andrology and Kidney Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari "Aldo Moro", 70124 Bari, Italy.
Pasquale DitonnoUrology, Andrology and Kidney Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari "Aldo Moro", 70124 Bari, Italy.ORCID 0000-0001-7718-7676
Giuseppe LucarelliUrology, Andrology and Kidney Transplantation Unit, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari "Aldo Moro", 70124 Bari, Italy.ORCID 0000-0001-7807-1229

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, clear-cell renal cell carcinoma (ccRCC) represents the most prevalent type of kidney cancer. Surgery plays a key role in the treatment of this cancer, although one third of patients are diagnosed with metastatic ccRCC and about 25% of patients will develop a recurrence after nephrectomy with curative intent. Molecular-target-based agents, such as tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs), are recommended for advanced cancers. In addition to cancer cells, the tumor microenvironment (TME) includes non-malignant cell types embedded in an altered extracellular matrix (ECM). The evidence confirms that interactions among cancer cells and TME elements exist and are thought to play crucial roles in the development of cancer, making them promising therapeutic targets. In the TME, an unfavorable pH, waste product accumulation, and competition for nutrients between cancer and immune cells may be regarded as further possible mechanisms of immune escape. To enhance immunotherapies and reduce resistance, it is crucial first to understand how the immune cells work and interact with cancer and other cancer-associated cells in such a complex tumor microenvironment.

Indexed as

angiogenesismetabolismrenal cell carcinomatherapytumor microenvironment

Identifiers

PMID37373581
PMCPMC10299533

What OpenQuestion holds

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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.