Evidence map›Paper›PMID 42523944›Full record

ArticleFrontiers in cell and developmental biology2026

Spatially fractionated radiotherapy for liver metastases: two cases of intrahepatic response dissociation.

Yucui Zhao, Chao Li, Siyu Guo, Bicheng Zhang, Dang Wu, Qichun Wei, Ting Zhang

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yucui Zhao *Department of Radiation Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Chao Li *Department of Radiation Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Siyu Guo *Department of Radiation Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Bicheng ZhangDepartment of Radiation Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Dang WuDepartment of Radiation Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Qichun WeiDepartment of Radiation Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Ting ZhangDepartment of Radiation Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver is a common site of metastatic involvement from non-small cell lung cancer (NSCLC). Spatially fractionated radiotherapy (SFRT) has emerged as a promising technique for controlling bulky lesions while minimizing toxicity. We report two patients with advanced NSCLC and hepatic oligoprogression who underwent SFRT to selected liver lesions. Both achieved excellent local control within the irradiated field, yet developed explosive progression in non-irradiated hepatic regions within 3 months, while extrahepatic disease remained stable. These cases highlight a striking intrahepatic response dissociation, potentially driven by intratumoral heterogeneity, clonal selection and local hepatic immune remodeling under targeted/systemic therapy. The findings underscore the need for further investigation into SFRT's immunobiology and optimal integration with systemic agents.

Indexed as

amphiregulin (AREG)hepatic microenviromentimmune remodelingNSCLCspatially fractionated radiotherapy (SFRT)

Identifiers

PMID42523944
PMCPMC13408373

What Socratic holds

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Registered trials

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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.