Evidence map›Paper›PMID 32208517›Full record

ReviewInternational journal of cancer2020

Metabolic factors contribute to T-cell inhibition in the ovarian cancer ascites.

Yueqing Gong, Jianling Yang, Yan Wang, Lixiang Xue, Junjie Wang

Open access · hybridAbstract readReview
In one paragraph

Review in International journal of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

23 citing papers in PubMed, 32 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

5 authors at 1 institution in 1 country.

Yueqing GongCenter of Basic Medical Research, Peking University Third Hospital Institute of Medical Innovation and Research, Beijing, China.
Jianling YangCenter of Basic Medical Research, Peking University Third Hospital Institute of Medical Innovation and Research, Beijing, China.
Yan WangCenter of Basic Medical Research, Peking University Third Hospital Institute of Medical Innovation and Research, Beijing, China.
Lixiang XueCenter of Basic Medical Research, Peking University Third Hospital Institute of Medical Innovation and Research, Beijing, China.ORCID 0000-0003-1507-7193
Junjie WangDepartment of Radiation Oncology, Peking University Third Hospital, Beijing, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant ascites is one of the major clinical features of ovarian cancer, which serves as a carrier for the peritoneal dissemination of tumor cells and predicts a poor prognosis in patients. In the microenvironment of ovarian cancer ascites, antitumor immunity is suppressed, which enables the tumor cells to escape from immune surveillance. The metabolic factors, including hypoxia, nutrient deprivation and accumulation of metabolic products, contribute to the immunosuppressive status of malignant ascites. The malignant ascites and ovarian solid tumors exhibit differential metabolic profiles. In this review, we have summarized the most recent findings on the interaction between immune cells and metabolic factors in the ovarian cancer ascites. The effects of metabolic factors on the antitumor functions of T-cells in the malignant ascites were analyzed. Finally, we have discussed the potential directions for future research in this field.

Indexed as

AscitesFemaleHumansNeoplasm GradingOvarian NeoplasmsT-LymphocytesTumor EscapeTumor HypoxiaTumor Microenvironmentascitesimmunosuppressionmetabolismovarian cancerT-cell

Identifiers

PMID32208517
PMCPMC7496064
OpenAlexW3012717687

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.