Evidence map›Paper›PMID 35711845›Full record

ArticleJournal of Cancer2022

Transketolase Serves as a Biomarker for Poor Prognosis in Human Lung Adenocarcinoma.

Cong Niu, Wenjia Qiu, Xiangyang Li, Hongqing Li, Ji'an Zhou, Huili Zhu

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 14 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

6 authors at 2 institutions in 1 country.

Cong NiuDepartment of Respiratory Medicine, Huadong Hospital, Fudan University, Shanghai, China.
Wenjia QiuDepartment of Respiratory Medicine, Huadong Hospital, Fudan University, Shanghai, China.
Xiangyang LiDepartment of Respiratory Medicine, Huadong Hospital, Fudan University, Shanghai, China.
Hongqing LiDepartment of Respiratory Medicine, Huadong Hospital, Fudan University, Shanghai, China.
Ji'an ZhouDepartment of Respiratory Medicine, Huadong Hospital, Fudan University, Shanghai, China.
Huili ZhuDepartment of Respiratory Medicine, Huadong Hospital, Fudan University, Shanghai, China.
Fudan University · CNHuadong Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite apparently having completed surgical resection, approximately half of resected early-stage lung cancer patients relapse and die of their disease. Adjuvant chemotherapy reduces this risk by only 5% to 8%. Thus, there is a need for better identifying the drivers of relapse, who benefits from adjuvant therapy, and novel targets in this setting. Although emerging evidence has suggested a strong link between the pentose phosphate pathway (PPP) and cancer, the role of transketolase (TKT), an enzyme in the nonoxidative branch of the PPP that connects PPP and glycolysis, remains obscure in Lung adenocarcinoma (LUAD). In this study, TKT expression was first identified in The Cancer Genome Atlas (TCGA) and then validated with our database. TKT was upregulated at protein levels in cancer compared with normal tissues (P <0.05), and high TKT expression was associated with advanced tumor stage in our cohorts. Besides, TKT inhibitor promotes tumor cell apoptosis and cell cycle blockade. Clearly, TKT plays a critical role in LUAD progression and prognosis and could be a potential biomarker for prediction of recurrence after lung cancer resection.

Indexed as

biomarkerlung adenocarcinomaprognosisTransketolase

Identifiers

PMID35711845
PMCPMC9174852
OpenAlexW4285141972

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.