Evidence map›Paper›PMID 32284756›Full record

ArticleJournal of Cancer2020

Determination of the Expression of PD-L1 in the Morphologic Spectrum of Renal Cell Carcinoma.

Beatriz Walter, Sara Gil, Xu Naizhen, Michael J Kruhlak, W Marston Linehan, Ramaprasad Srinivasan, Maria J Merino

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2020. 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
1.5field-weighted citation impact, top 15% 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, 26 citations in OpenAlex.

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

7 authors at 1 institution in 1 country.

Beatriz WalterTranslational Surgical Pathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA.
Sara GilTranslational Surgical Pathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA.
Xu NaizhenTranslational Surgical Pathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA.
Michael J KruhlakExperimental Immunology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA.
W Marston LinehanUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA.
Ramaprasad SrinivasanUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA.
Maria J MerinoTranslational Surgical Pathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA.
National Cancer Institute · US

Funding

Molecular Therapeutics of Kidney Cancer: VHL Gene and Fumarate Hydratase GeneZIABC011038 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$29.8M
Molecular Therapeutics of Kidney Cancer: MET Gene and BHD GeneZIABC011043 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$20.9M
Clinical Studies of the Molecular Genetic Basis of Kidney CancerZIABC011028 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$17.9M
Clinical Nursing and Data Management CoreZIDBC011089 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$17.4M
CCR Microscopy CoreZICBC010858 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KRUHLAK, MICHAEL · 2009 to 2025
$14.8M
Targeting Genetic and Metabolic Alterations in Distinct Subtypes of RCCZIABC011648 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI SRINIVASAN, RAMAPRASAD · 2015 to 2025
$12.2M
Translational Surgical PathologyZIESC000853 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI MERINO, MARIA · 2009 to 2025
$4.3M
Immunotherapy of kidney cancer. Where do the T lymphocytes go in kidney cancer?ZIABC012016 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MERINO, MARIA · 2020 to 2025
$1.6M
6 · The paper itself

Abstract

Immunotherapy is reportedly an effective form of therapy for some advanced cancers such as lung adenocarcinoma, malignant melanoma and colorectal adenocarcinoma. In renal cell carcinoma (RCC), the role of immunotherapy is under investigation. Programmed Death-Ligand 1 (PD-L1) is a molecule expressed on the surface of certain tumor cells and binds to the Programmed cell death protein 1 (PD-1) on cytotoxic T-cells, an interaction that inhibits the antitumor immune response. The aim of this study is to evaluate PD-L1 expression in the morphologic spectrum of RCC. A total of 172 cases of RCC comprising all types were studied and the PD-L1 was correlated with immune response for CD4 and CD8. Positive membranous staining for PD-L1 was seen in 59 (34%) of the 172 samples. The positive cases were HLRCC (31/53), Type 1 Papillary RCC (10/31), Chromophobe (7/20), Hybrid (3/9), TFE-3 related cancer (3/8), Undifferentiated (3/5), and TFEB tumors (2/2). Clear cell carcinomas, Oncocytomas and SDHB deficient-RCC didn't show any expression of PD-L1; (0/34;0/7;0/3). Our results demonstrated that aggressive forms of RCC such as HLRCC have high expression of PD-L1, in contrast to clear cell renal carcinomas. Our findings support a possible role of anti-PD-L1/PD-1 immunotherapies in the treatment of PD-L1-positive RCC.

Indexed as

HLRCCPD-L1 expressionRCC histological subtypesrenal cell carcinoma

Identifiers

PMID32284756
PMCPMC7150459
OpenAlexW3015372699

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.