Evidence map›Paper›PMID 34841437›Full record

ArticleOncology reports2022

ELOVL2 promotes cancer progression by inhibiting cell apoptosis in renal cell carcinoma.

Ken Tanaka, Shuya Kandori, Shotaro Sakka, Satoshi Nitta, Kozaburo Tanuma, Masanobu Shiga, Yoshiyuki Nagumo, Hiromitsu Negoro, Takahiro Kojima, Bryan J Mathis and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 41 citations in OpenAlex.

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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

17 authors at 3 institutions in 1 country.

Ken TanakaDepartment of Urology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305‑8577, Japan.
Shuya KandoriDepartment of Urology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305‑8577, Japan.
Shotaro SakkaDepartment of Urology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305‑8577, Japan.
Satoshi NittaDepartment of Urology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305‑8577, Japan.
Kozaburo TanumaDepartment of Urology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305‑8577, Japan.
Masanobu ShigaDepartment of Urology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305‑8577, Japan.
Yoshiyuki NagumoDepartment of Urology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305‑8577, Japan.
Hiromitsu NegoroDepartment of Urology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305‑8577, Japan.
Takahiro KojimaDepartment of Urology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305‑8577, Japan.
Bryan J MathisInternational Medical Center, University of Tsukuba Affiliated Hospital, Tsukuba, Ibaraki 305‑8576, Japan.
Toru ShimazuiDepartment of Urology, Ibaraki Prefectural Central Hospital, Kasama, Ibaraki 309‑1793, Japan.
Makoto WatanabeLife Science Research Center, Technology Research Laboratory, Shimadzu Corporation, Kyoto 604‑8511, Japan.
Taka-Aki SatoLife Science Research Center, Technology Research Laboratory, Shimadzu Corporation, Kyoto 604‑8511, Japan.
Takafumi MiyamotoDepartment of Endocrinology and Metabolism, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305‑8575, Japan.
Takashi MatsuzakaDepartment of Endocrinology and Metabolism, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305‑8575, Japan.
Hitoshi ShimanoDepartment of Endocrinology and Metabolism, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305‑8575, Japan.
Hiroyuki NishiyamaDepartment of Urology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki 305‑8577, Japan.
University of Tsukuba · JPShimadzu (Japan) · JPIbaraki Prefectural Central Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is an aggressive genitourinary malignancy which has been associated with a poor prognosis, particularly in patients with metastasis, its major subtypes being clear cell RCC (ccRCC), papillary PCC (pRCC) and chromophobe RCC (chRCC). The presence of intracellular lipid droplets (LDs) is considered to be a hallmark of ccRCC. The importance of an altered lipid metabolism in ccRCC has been widely recognized. The elongation of very‑long‑chain fatty acid (ELOVL) catalyzes the elongation of fatty acids (FAs), modulating lipid composition, and is required for normal bodily functions. However, the involvement of elongases in RCC remains unclear. In the present study, the expression of ELOVL2 in ccRCC was examined; in particular, high levels of seven ELOVL isozymes were observed in primary tumors. Of note, elevated ELOVL2 expression levels were observed in ccRCC, as well as in pRCC and chRCC. Furthermore, a higher level of ELOVL2 was significantly associated with the increased incidence of a poor prognosis of patients with ccRCC and pRCC. The CRISPR/Cas9‑mediated knockdown of ELOVL2 resulted in the suppression of the elongation of long‑chain polyunsaturated FAs and increased LD production in renal cancer cells. Moreover, ELOVL2 ablation resulted in the suppression of cellular proliferation via the induction of apoptosis

Indexed as

ApoptosisCarcinoma, Renal CellCell Line, TumorCell ProliferationCRISPR-Cas SystemsDisease ProgressionFatty Acid ElongasesGene Knockdown TechniquesHumansKidney NeoplasmsLipid MetabolismELOVL2 protein, humanFatty Acid Elongasesapoptosiscellular proliferationelongation of very‑long‑chain fatty acid 2fatty acidlipid dropletrenal cell carcinoma

Identifiers

PMID34841437
PMCPMC8674704
OpenAlexW3215151292

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.