Evidence map›Paper›PMID 38434964›Full record

ReviewJournal of Cancer2024

Overcoming the limitations of immunotherapy in pancreatic ductal adenocarcinoma: Combining radiotherapy and metabolic targeting therapy.

Han Zhang, Wenjin Xu, Haitao Zhu, Xuelian Chen, Hsiang-I Tsai

Open access · goldAbstract readReview
In one paragraph

Review in Journal of Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 10 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

5 authors at 3 institutions in 2 countries.

Han ZhangInstitute of Medical Imaging and Artificial Intelligence, Jiangsu University, Zhenjiang, China.
Wenjin XuInstitute of Medical Imaging and Artificial Intelligence, Jiangsu University, Zhenjiang, China.
Haitao ZhuInstitute of Medical Imaging and Artificial Intelligence, Jiangsu University, Zhenjiang, China.
Xuelian ChenDepartment of Radiology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China.
Hsiang-I TsaiInstitute of Medical Imaging and Artificial Intelligence, Jiangsu University, Zhenjiang, China.
Artificial Intelligence in Medicine (Canada) · CAJiangsu University · CNFirst People's Hospital of Kunshan · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a novel anticancer therapy, immunotherapy has demonstrated robust efficacy against a few solid tumors but poor efficacy against pancreatic ductal adenocarcinoma (PDAC). This poor outcome is primarily attributable to the intrinsic cancer cell resistance and T-cell exhaustion, which is also the reason for the failure of conventional therapy. The present review summarizes the current PDAC immunotherapy avenues and the underlying resistance mechanisms. Then, the review discusses synergistic combination therapies, such as radiotherapy (RT) and metabolic targeting. Research suggests that RT boosts the antigen of PDAC, which facilitates the anti-tumor immune cell infiltration and exerts function. Metabolic reprogramming contributes to restoring the exhausted T cell function. The current review will help in tailoring combination regimens to enhance the efficacy of immunotherapy. In addition, it will help provide new approaches to address the limitations of the immunosuppressive tumor microenvironment (TME) by examining the relationship among immunotherapy, RT, and metabolism targeting therapy in PDAC.

Indexed as

immunotherapymetabolic reprogrammingpancreatic ductal adenocarcinomaradiotherapytumor microenvironment

Identifiers

PMID38434964
PMCPMC10905401
OpenAlexW4391982709

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.