Evidence map›Paper›PMID 34367944›Full record

ReviewFrontiers in oncology2021

The Application Progress of Patient-Derived Tumor Xenograft Models After Cholangiocarcinoma Surgeries.

Jun Wu, Jiyao Sheng, Hanjiao Qin, Mengying Cui, Yongsheng Yang, Xuewen Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 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
1.0field-weighted citation impact, top 23% 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, 6 citations in OpenAlex.

  1. Review
  2. Article
  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

6 authors at 1 institution in 1 country.

Jun WuDepartment of Hepatopancreatobiliary Surgery, The Second Hospital of Jilin University, Changchun, China.
Jiyao ShengDepartment of Hepatopancreatobiliary Surgery, The Second Hospital of Jilin University, Changchun, China.
Hanjiao QinDepartment of Radiotherapy, The Second Hospital of Jilin University, Changchun, China.
Mengying CuiDepartment of Hepatopancreatobiliary Surgery, The Second Hospital of Jilin University, Changchun, China.
Yongsheng YangDepartment of Hepatopancreatobiliary Surgery, The Second Hospital of Jilin University, Changchun, China.
Xuewen ZhangDepartment of Hepatopancreatobiliary Surgery, The Second Hospital of Jilin University, Changchun, China.
Second Affiliated Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical treatment is the only possible cure for cholangiocarcinoma (CCA) at present. However, the high recurrence rate of postoperative CCA leads to a very poor prognosis for patients, effective postoperative chemotherapy is hence the key to preventing the recurrence of CCA. The sensitivity of CCA to cytotoxic chemotherapy drugs and targeted drugs varies from person to person, and therefore, the screening of sensitive drugs has become an important topic after CCA surgeries. Patient-Derived tumor Xenograft models (PDX) can stably retain the genetic and pathological characteristics of primary tumors, and better simulate the tumor microenvironment of CCA. The model is also of great significance in screening therapeutic targeted drugs after CCA, analyzing predictive biomarkers, and improving signal pathways in prognosis and basic research. This paper will review the current established methods and applications of the patient-derived tumor xenograft model of cholangiocarcinoma, aiming to provide new ideas for basic research and individualized treatment of cholangiocarcinoma after surgery.

Indexed as

chemotherapycholangiocarcinomaindividualized treatmentpatient-derived tumor xenograft modelstarget treatment

Identifiers

PMID34367944
PMCPMC8339899
OpenAlexW3187812251

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.