Evidence map›Paper›PMID 31991790›Full record

ReviewCancers2020

Multifaceted Roles of Caveolin-1 in Lung Cancer: A New Investigation Focused on Tumor Occurrence, Development and Therapy.

Yu-Bo Shi, Jun Li, Xing-Ning Lai, Rui Jiang, Rui-Chen Zhao, Li-Xia Xiong

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 44 citations in OpenAlex.

  1. Anoikis in cancer: molecular mechanisms, resistance, and therapeutic strategies.Apoptosis : an international journal on programmed cell death · 2026
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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

6 authors at 1 institution in 1 country.

Yu-Bo ShiDepartment of Pathophysiology, Basic Medical College, Nanchang University, Nanchang 330006, China.
Jun LiDepartment of Pathophysiology, Basic Medical College, Nanchang University, Nanchang 330006, China.
Xing-Ning LaiDepartment of Pathophysiology, Basic Medical College, Nanchang University, Nanchang 330006, China.
Rui JiangQueen Mary School, Jiangxi Medical College of Nanchang University, Nanchang 330006, China.
Rui-Chen ZhaoDepartment of Pathophysiology, Basic Medical College, Nanchang University, Nanchang 330006, China.
Li-Xia XiongDepartment of Pathophysiology, Basic Medical College, Nanchang University, Nanchang 330006, China.
Nanchang University · CN

Funding

National Natural Science Foundation of China 31860317
6 · The paper itself

Abstract

Lung cancer is one of the most common and malignant cancers with extremely high morbidity and mortality in both males and females. Although traditional lung cancer treatments are fast progressing, there are still limitations. Caveolin-1 (Cav-1), a main component of caveolae, participates in multiple cellular events such as immune responses, endocytosis, membrane trafficking, cellular signaling and cancer progression. It has been found tightly associated with lung cancer cell proliferation, migration, apoptosis resistance and drug resistance. In addition to this, multiple bioactive molecules have been confirmed to target Cav-1 to carry on their anti-tumor functions in lung cancers. Cav-1 can also be a predictor for lung cancer patients' prognosis. In this review, we have summarized the valuable research on Cav-1 and lung cancer in recent years and discussed the multifaceted roles of Cav-1 on lung cancer occurrence, development and therapy, hoping to provide new insights into lung cancer treatment.

Indexed as

Caveolin-1 (Cav-1)lung cancermetastasistargeted therapytumor progression

Identifiers

PMID31991790
PMCPMC7073165
OpenAlexW3002966487

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.