Evidence map›Paper›PMID 35669987›Full record

ArticleBiochemistry and biophysics reports2022

He Zhang, Pengpeng Wu, Chenbo Guo, Caiqin Zhang, Yong Zhao, Dengxu Tan, Jiaze An, Changhong Shi

Open access · goldAbstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2022. 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
0.4field-weighted citation impact, top 37% 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, 4 citations in OpenAlex.

  1. Article
  2. Mechanisms Underlying the Rarity of Skeletal Muscle Cancers.International journal of molecular sciences · 2024
    Review
  3. Review
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

8 authors at 2 institutions in 1 country.

He ZhangDivision of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, 710032, China.
Pengpeng WuDivision of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, 710032, China.
Chenbo GuoDivision of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, 710032, China.
Caiqin ZhangDivision of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, 710032, China.
Yong ZhaoDivision of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, 710032, China.
Dengxu TanDivision of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, 710032, China.
Jiaze AnDepartment of Hepatobiliary and Pancreaticosplenic Surgery, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710069, China.
Changhong ShiDivision of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi'an, 710032, China.
Air Force Medical University · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to the high heterogeneity of pancreatic cancer, patient-derived xenografts (PDX) can compensate for the defects of cell line-derived xenografts (CDX) and also better preserve the heterogeneity and tumor microenvironment of primary tumors. Further, gemcitabine, which is used for the treatment of various cancers, is prone to tumor drug resistance, and this limits its sustained efficacy. Therefore, in this study, our objective was to screen appropriate individual therapeutic drugs for pancreatic cancer. To this end, we established pancreatic cancer PDX models from different patients and screened gemcitabine sensitivity regulatory molecules via high-throughput transcriptome sequencing and bioinformatics analysis. Based on the results obtained, gemcitabine was identified as the most suitable chemotherapeutic drug in a variety of PDX models. Additionally, our results indicated that

Indexed as

ChemosensitivityGemcitabineLipocalin 2Pancreatic cancerpatient-derived xenografts

Identifiers

PMID35669987
PMCPMC9166468
OpenAlexW4281720666

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.