Evidence map›Paper›PMID 36531074›Full record

ArticleFrontiers in oncology2022

A tumor-associated autoantibody panel for the detection of non-small cell lung cancer.

Ruijun Cai, Feng Zhao, Haiying Zhou, Zengsong Wang, Dang Lin, Lu Huang, Wenling Xie, Jiawen Chen, Lamei Zhou, Ni Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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

11 authors at 3 institutions in 1 country.

Ruijun CaiDepartment of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Feng ZhaoResearch and Development Department, Guangzhou BioBlue Technology Co. Ltd, Guangzhou, China.
Haiying ZhouDepartment of Orthopaedics, AIR Force Hospital of Southern Theater Command of People's Liberation Army of China (PLA), Guangzhou, China.
Zengsong WangResearch and Development Department, Guangzhou BioBlue Technology Co. Ltd, Guangzhou, China.
Dang LinResearch and Development Department, Guangzhou BioBlue Technology Co. Ltd, Guangzhou, China.
Lu HuangResearch and Development Department, Guangzhou BioBlue Technology Co. Ltd, Guangzhou, China.
Wenling XieResearch and Development Department, Guangzhou BioBlue Technology Co. Ltd, Guangzhou, China.
Jiawen ChenResearch and Development Department, Guangzhou BioBlue Technology Co. Ltd, Guangzhou, China.
Lamei ZhouResearch and Development Department, Guangzhou BioBlue Technology Co. Ltd, Guangzhou, China.
Ni ZhangDepartment of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Chaoyuan HuangResearch and Development Department, Guangzhou BioBlue Technology Co. Ltd, Guangzhou, China.
Southern Medical University · CNTongji Hospital · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the second most frequent malignancy and the leading cause of cancer-associated death worldwide. Compared with patients diagnosed at advanced disease stages, early detection of lung cancer significantly improved the 5-year survival rate from 3.3% to 48.8%, which highlights the importance of early detection. Although multiple technologies have been applied to the screening and early diagnosis of lung cancer so far, some limitations still exist so they could not fully suit the needs for clinical application. Evidence show that autoantibodies targeting tumor-associated antigens(TAAs) could be found in the sera of early-stage patients, and they are of great value in diagnosis. Methods, we identified and screened TAAs in early-stage non-small cell lung cancer(NSCLC) samples using the serological analysis of recombinant cDNA expression libraries(SEREX). We measured the levels of the 36 autoantibodies targeting TAAs obtained by preliminary screening

Indexed as

early diagnosisliquid chipnon-small cell lung cancerSEREXTAAS

Identifiers

PMID36531074
PMCPMC9757608
OpenAlexW4311111496

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.