Evidence map›Paper›PMID 32894006›Full record

ArticleThoracic cancer2020

Quantitative multiplex immunofluorescence analysis identifies infiltrating PD1

Hongling Liang, Hongsheng Li, Zhi Xie, Tianen Jin, Yu Chen, Zhiyi Lv, Xiaojun Tan, Jia Li, Guodong Han, Weixing He and 10 more

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

24 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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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

20 authors at 4 institutions in 2 countries.

Hongling LiangThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.ORCID 0000-0001-5474-7888
Hongsheng LiDepartment of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Zhi XieGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China.
Tianen JinGuangzhou DaAn Clinical Laboratory Center, Guangzhou, China.
Yu ChenGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China.
Zhiyi LvGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, China.
Xiaojun TanDepartment of Pathology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Jia LiGraduate School of Arts and Science, Columbia University in the City of New York, New York, New York, USA.
Guodong HanDepartment of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Weixing HeDepartment of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Ni QiuDepartment of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Ming JiangDepartment of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Jie ZhouDepartment of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Haoming XiaDepartment of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Yongtao ZhanDepartment of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Lulu CuiDepartment of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Weiling GuoDepartment of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Jianqing HuangDepartment of Breast Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Xuchao ZhangThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.ORCID 0000-0002-4138-8115
Yi-Long WuThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Guangzhou Medical University Cancer Hospital · CNGuangdong Academy of Medical Sciences · CNChina Guangzhou Analysis and Testing Center · CNCity University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to explore the potentially predictive role and dynamic changes of immune checkpoints on T cell subsets in patients with breast cancer receiving neoadjuvant chemotherapies.

methodsFluorescent multiplex immunohistochemistry (mIHC) was used to stain CD4, CD8, PD1, TIM3, and cytokeratins simultaneously in paired breast cancer samples before and after neoadjuvant therapies (NAT) in a prospective cohort (n = 50). Singleplex IHC was conducted to stain for CD3 in 100 cases with inclusion of extra retrospective 50 cases. Cell levels were correlated with clinicopathological parameters and pathological complete response (pCR).

resultsIn pretreatment tumors, the percentages of infiltrating CD8

conclusionsPD1 KEY POINTS: SIGNIFICANT FINDINGS OF THE STUDY: PD1 WHAT THIS STUDY ADDS: Incremental levels of PD1

Indexed as

Breast NeoplasmsCD8-Positive T-LymphocytesFemaleHumansLymphocytes, Tumor-InfiltratingNeoadjuvant TherapyProspective StudiesTumor MicroenvironmentBreast cancerneoadjuvant chemotherapyPD1T celltumor-infiltrating lymphocytes

Identifiers

PMID32894006
PMCPMC7529566
OpenAlexW3083945796

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.