Evidence map›Paper›PMID 42041715›Full record

ReviewCurrent oncology (Toronto, Ont.)2026

Lattice Radiation Therapy Plays a Synergistic Role in the Radical Treatment of Bulky Cervical Cancer: A Case Report and Literature Review.

Feifei Wang, Qianru Zhan, Zhitao Dai, Huijuan Zhang, Miao Peng, Zhijian Chen, Jing Jin, Xiugui Sheng

Abstract readCase ReportsReview
In one paragraph

Review in Current oncology (Toronto, Ont.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Feifei WangDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China.
Qianru ZhanDepartment of Family Relations and Applied Nutrition, University of Guelph, Guelph, ON N1G 2W1, Canada.
Zhitao DaiDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China.ORCID 0000-0003-0554-689X
Huijuan ZhangDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China.
Miao PengDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China.
Zhijian ChenDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China.ORCID 0000-0002-9166-8246
Jing JinDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China.
Xiugui ShengDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China.

Funding

Sanming Project of Medicine in Shenzhen grant nos. SZSM202211030Shenzhen Clinical Research Center for Cancer No. [2021]287Shenzhen High-level Hospital Construction Fund No. grant numberShenzhen Key Medical Discipline Construction Fund No. SZXK013
6 · The paper itself

Abstract

backgroundAn increasing number of reports showed patients with bulky tumors after lattice radiation therapy (LRT) treatment achieved good local control. However, in these reports, LRT was previously used primarily for palliation. We reported a case that LRT plays a synergistic role in the radical treatment of locally advanced bulky cervical cancer (LABCC) combined with INTERLACE study protocol.

methodsThe patient was a 54-year-old female with LABCC and treated with LRT combined with the INTERLACE study protocol. She received three fractions of 3 Gy each to the gross tumor volume (GTV) and three fractions of 9 Gy each to the lattice therapy volume (LTV), on an emergent basis, using volumetric modulated arc therapy (VMAT). Subsequently, according to the INTERLACE study protocol, chemotherapy and radiotherapy were carried out and the standard follow-up examinations were conducted. Adverse events (AEs) were assessed according to the Common Terminology Criteria for AEs (CTCAE) version 5.0.

resultsThe patient initially received LRT, which reduced the tumor burden and controlled bleeding. After this was combined with the INTERLACE study protocol, the complete clinical response (cCR) was achieved and they maintained this status for 13 months after the completion of concurrent chemoradiotherapy (CCRT), with only manageable grade IV hematological toxicity observed after the completion of CCRT. During this period, only manageable grade IV hematological toxicity (platelet count 16 × 10

conclusionsIn this case, LRT combined with INTERLACE study protocol appears to be a safe and effective for the treatment of LABCC which improved the patient's quality of life without uncontrolled treatment-related toxicity.

Indexed as

Radiotherapy, Intensity-ModulatedUterine Cervical NeoplasmsChemoradiotherapyFemaleHumansMiddle Agedconcurrent chemoradiotherapyinduction chemotherapylattice radiation therapylocally advanced bulky cervical cancer

Identifiers

PMID42041715
PMCPMC13114739

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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 OpenQuestion graph.