Evidence map›Paper›PMID 29963107›Full record

ArticleJournal of breast cancer2018

Lymphocyte-Activation Gene-3 Expression and Prognostic Value in Neoadjuvant-Treated Triple-Negative Breast Cancer.

Yunxuan Wang, Tieying Dong, Qijia Xuan, Hong Zhao, Ling Qin, Qingyuan Zhang

Open access · goldAbstract read
In one paragraph

Article in Journal of breast cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 4 pooled it
3.0field-weighted citation impact, top 6% 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

40 citing papers in PubMed, 4 syntheses or guidelines pooled it, 100 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. LAG-3Frontiers in oncology · 2022
    Pooled it
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  13. Tumor immune microenvironment components and the other markers can predict the efficacy of neoadjuvant chemotherapy for breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Review
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  19. LAG-3xPD-L1 bispecific antibody potentiates antitumor responses of T cells through dendritic cell activation.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
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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.

Yunxuan WangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Tieying DongDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Qijia XuanDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Hong ZhaoDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Ling QinDepartment of Pathology, Harbin Medical University Cancer Hospital, Harbin, China.
Qingyuan ZhangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn this study, we aimed to evaluate lymphocyte-activation gene-3 (LAG-3) expression and its prognostic value in neoadjuvant-treated triple-negative breast cancer (TNBC).

methodsLAG-3, programmed death-1 (PD-1), programmed death ligand-1 (PD-L1), and CD8

resultsIn pre-NACT specimens, LAG-3 expression showed a significant association with pathological complete response (pCR,

conclusionCD8

Indexed as

Lymphocyte-activation gene-3 proteinNeoadjuvant therapyProgrammed death-1Programmed death ligand-1Triple negative breast neoplasms

Identifiers

PMID29963107
PMCPMC6015973
OpenAlexW2809283670

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.