Evidence map›Paper›PMID 35799071›Full record

ArticleCellular and molecular life sciences : CMLS2022

Transmissible ER stress between macrophages and tumor cells configures tumor microenvironment.

Wei Wei, Yazhuo Zhang, Qiaoling Song, Qianyue Zhang, Xiaonan Zhang, Xinning Liu, Zhihua Wu, Xiaohan Xu, Yuting Xu, Yu Yan and 2 more

Open access · greenAbstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 29 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

12 authors at 1 institution in 1 country.

Wei WeiInstitute of Cancer Biology and Drug Screening, School of Life Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China.
Yazhuo ZhangInnovation Center for Marine Drug Screening and Evaluation, Qingdao National Laboratory for Marine Science and Technology, Key Laboratory of Marine Drugs, Chinese Ministry of Education, Qingdao, 266100, Shandong, China.
Qiaoling SongInnovation Center for Marine Drug Screening and Evaluation, Qingdao National Laboratory for Marine Science and Technology, Key Laboratory of Marine Drugs, Chinese Ministry of Education, Qingdao, 266100, Shandong, China.
Qianyue ZhangInnovation Center for Marine Drug Screening and Evaluation, Qingdao National Laboratory for Marine Science and Technology, Key Laboratory of Marine Drugs, Chinese Ministry of Education, Qingdao, 266100, Shandong, China.
Xiaonan ZhangInnovation Center for Marine Drug Screening and Evaluation, Qingdao National Laboratory for Marine Science and Technology, Key Laboratory of Marine Drugs, Chinese Ministry of Education, Qingdao, 266100, Shandong, China.
Xinning LiuInnovation Center for Marine Drug Screening and Evaluation, Qingdao National Laboratory for Marine Science and Technology, Key Laboratory of Marine Drugs, Chinese Ministry of Education, Qingdao, 266100, Shandong, China.
Zhihua WuInnovation Center for Marine Drug Screening and Evaluation, Qingdao National Laboratory for Marine Science and Technology, Key Laboratory of Marine Drugs, Chinese Ministry of Education, Qingdao, 266100, Shandong, China.
Xiaohan XuInnovation Center for Marine Drug Screening and Evaluation, Qingdao National Laboratory for Marine Science and Technology, Key Laboratory of Marine Drugs, Chinese Ministry of Education, Qingdao, 266100, Shandong, China.
Yuting XuInnovation Center for Marine Drug Screening and Evaluation, Qingdao National Laboratory for Marine Science and Technology, Key Laboratory of Marine Drugs, Chinese Ministry of Education, Qingdao, 266100, Shandong, China.
Yu YanInnovation Center for Marine Drug Screening and Evaluation, Qingdao National Laboratory for Marine Science and Technology, Key Laboratory of Marine Drugs, Chinese Ministry of Education, Qingdao, 266100, Shandong, China.
Chenyang ZhaoInnovation Center for Marine Drug Screening and Evaluation, Qingdao National Laboratory for Marine Science and Technology, Key Laboratory of Marine Drugs, Chinese Ministry of Education, Qingdao, 266100, Shandong, China. zhaochenyang2021@gmail.com.
Jinbo YangInstitute of Cancer Biology and Drug Screening, School of Life Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China. yangjb@lzu.edu.cn.ORCID http://orcid.org/0000-0003-2824-1095
Qingdao National Laboratory for Marine Science and Technology · CN

Funding

Key R&D Program of Shandong Province 2020CXGC010503the Major Program of National Natural Science Foundation of China 81991525
6 · The paper itself

Abstract

Endoplasmic reticulum (ER) stress initiates the unfolded protein response (UPR) and is decisive for tumor cell growth and tumor microenvironment (TME) maintenance. Tumor cells persistently undergo ER stress and could transmit it to the neighboring macrophages and surroundings. Tumor infiltrating macrophages can also adapt to the microenvironment variations to fulfill their highly energy-demanding and biological functions via ER stress. However, whether the different macrophage populations differentially sense ER stress and transmit ER stress to surrounding tumor cells has not yet been elucidated. Here, we aimed to investigate the role of transmissible ER stress, a novel regulator of intercellular communication in the TME. Murine bone marrow-derived macrophage (BMDM) can be polarized toward distinct functional endpoints termed classical (M1) and alternative (M2) activation, and their polarization status has been shown to be tightly correlated with their functional significance. We showed that tumor cells could receive the transmissible ER stress from two differentially polarized macrophage populations with different extent of ER stress activation. The proinflammatory M1-like macrophages respond to ER stress with less extent, however they could transmit more ER stress to tumor cells. Moreover, by analyzing the secreted components of two ER-stressed macrophage populations, we identified certain damage-associated molecular patterns (DAMPs), including S100A8 and S100A9, which are dominantly secreted by M1-like macrophages could lead to significant recipient tumor cells death in synergy with transferred ER stress.

Indexed as

NeoplasmsTumor MicroenvironmentAnimalsEndoplasmic Reticulum StressMacrophagesMiceUnfolded Protein ResponseIntratumoral cell communicationsMacrophage polarizationMAPKSecreted moleculesTME editingTumor killing effects

Identifiers

PMID35799071
PMCPMC11073001
OpenAlexW4284881575

What Socratic holds

Textmetadata
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 Socratic graph.