Evidence map›Paper›PMID 34019188›Full record

ReviewMedical oncology (Northwood, London, England)2021

Novel therapeutic strategies and perspectives for pancreatic cancer: Autophagy and apoptosis are key mechanisms to fight pancreatic cancer.

Wenhao Luo, Lianfang Zheng, Taiping Tai Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical oncology (Northwood, London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

3 authors at 1 institution in 1 country.

Wenhao LuoPeking Union Medical College Hospital, Beijing, People's Republic of China. luowh1994@163.com.ORCID http://orcid.org/0000-0001-9914-5338
Lianfang ZhengPeking Union Medical College Hospital, Beijing, People's Republic of China.
Taiping Tai ZhangPeking Union Medical College Hospital, Beijing, People's Republic of China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Innovative Research Group Project of the National Natural Science Foundation of China No. 81772639, No.81802475, No.81972258, No.81974376
6 · The paper itself

Abstract

Pancreatic cancer (PC) is the most lethal malignancy of the gastrointestinal tract. The poor prognosis of patients with PC is primarily due to lack of effective treatments against its progressive and metastatic behavior. Hence, figuring out the mechanisms underlying PC development and putting up with effective targeted therapies are of great significance to improve the prognosis of patients with PC. Apoptosis and autophagy serve to maintain tissue homoeostasis. Escaping from apoptosis or autophagy is one of the features of malignancy. PC is seriously resistant to autophagy and apoptosis, which explains its invasiveness and resistance to conventional treatment. Recently, several biological activities and pharmacological functions found in natural product extracts have been reported to inhibit PC progression. The current review focuses on understanding natural product extracts and their derivatives as one kind of novel treatments through affecting the apoptosis or autophagy in PC.

Indexed as

ApoptosisAutophagyBiological ProductsEndoplasmic ReticulumHumansPancreatic NeoplasmsReceptors, Death DomainSignal TransductionBiological ProductsReceptors, Death DomainApoptosisAutophagyMechanismNatural product extractsNovel strategiesPancreatic cancer

Identifiers

PMID34019188
OpenAlexW3161004144

What OpenQuestion 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 OpenQuestion graph.