Evidence map›Paper›PMID 38480032›Full record

ArticleEuropean urology oncology2024

Stratification of Patients with Renal Cell Carcinoma by the Abundance of Sarcomatoid Features Reveals Differences in Survival and the Underlying Pathobiology.

Nicholas J Salgia, Wilhelm M Aubrecht, Lin Wang, Bebu Ram, Brianna J Wasik, Adil Khan, Kristopher Attwood, Jorge Daza, Mark D Long, Kevin H Eng and 3 more

Open access · greenAbstract read
In one paragraph

Article in European urology oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

13 authors at 1 institution in 1 country.

Nicholas J SalgiaDepartment of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA; Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.
Wilhelm M AubrechtDepartment of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Lin WangDepartment of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Bebu RamDepartment of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Brianna J WasikDepartment of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Adil KhanDepartment of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Kristopher AttwoodDepartment of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Jorge DazaDepartment of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Mark D LongDepartment of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Kevin H EngDepartment of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA; Department of Cancer Genetics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Bo XuDepartment of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Jason B MuhitchDepartment of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA. Electronic address: jason.muhitch@roswellpark.org.
Eric C KauffmanDepartment of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA; Department of Cancer Genetics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA. Electronic address: eric.kauffman@roswellpark.org.
Roswell Park Comprehensive Cancer Center · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Dean G. Tang · 1985 to 2026
$116.6M
MULTIDISCIPLINARY APPROACHES TUMOR IMMUNOLOGYT32CA085183 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Scott I. Abrams · 2001 to 2026
$3.1M
NCI NIH HHS P30 CA016056NCI NIH HHS T32 CA085183
6 · The paper itself

Abstract

Sarcomatoid renal cell carcinoma (sRCC) is histologically heterogeneous, with variable sarcomatoid amounts intermixed within epithelial carcinoma. However, the current classification for this aggressive disease is homogeneous and agnostic to the sarcomatoid proportion. We investigated whether sRCC subclassification has prognostic value and can reveal the biology underlying dedifferentiation and its clinical aggressiveness. On the basis of the intratumoral abundance of sarcomatoid features, cases were classified as sarcomatoid-high (≥10% sarcomatoid features) or sarcomatoid-low (<10% sarcomatoid features) in a cohort of 104 consecutive patients with sRCC undergoing nephrectomy at a single center. In comparison to sarcomatoid-low patients (n = 52), sarcomatoid-high patients (n = 52) had significantly shorter overall survival (median 14.5 vs 62.9 mo; p < 0.001), which was confirmed on multivariable analysis, and significantly shorter median metastasis-free survival among patients with clinically localized disease (10.7 vs 39.0 mo; p = 0.043). Transcriptomic analyses of 45 sRCC tumors revealed significant upregulation of nine hallmark pathways related to cell cycle/proliferation, epithelial-to-mesenchymal transition, reactive oxidative species, and interferon-α signaling among sarcomatoid-high (n = 24) versus sarcomatoid-low (n = 21) tumors. Categorization into transcriptomic clusters revealed predominance of proliferative, inflammatory, and immune effector phenotypes among sarcomatoid-high tumors, versus a hypoxia/angiogenesis phenotype among sarcomatoid-low tumors. Overall, these findings indicate prognostic value for sRCC subclassification into high versus low sarcomatoid groups and highlight key biology underlying the differences in clinical outcomes. PATIENT SUMMARY: Sarcomatoid renal cell carcinoma (sRCC) is a highly aggressive form of kidney cancer. The percentage of sarcomatoid features varies among tumors, but sRCC is still defined as a single kidney cancer type. Our results show that grouping patients according to their percentage of sarcomatoid features improves prediction of whether their tumors will become metastatic or lethal, and reveal molecular differences that may be important for this disease. Future assignment of sRCC to high and low sarcomatoid groups may help in guiding research and patient management.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsAdultAgedAged, 80 and overEpithelial-Mesenchymal TransitionFemaleHumansMaleMiddle AgedPrognosisEpithelial-to-mesenchymal transitionRenal cell carcinomaRNA sequencingSarcomatoidTumor microenvironment

Identifiers

PMID38480032
PMCPMC11390971
OpenAlexW4392703693

What OpenQuestion holds

Textmetadata
LicenceTDM
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.