Evidence map›Paper›PMID 35117467›Full record

ArticleTranslational cancer research2020

Local treatment for liver oligometastases in breast cancer patients: identification of prognostic factors and exploration of appropriate treatment strategy.

Kuikui Jiang, Wen Xia, Ruoxi Hong, Fei Xu, Qiufan Zheng, Qianyi Lu, Kaping Lee, Yuan Li, Qinglian Zhai, Yanxia Shi and 2 more

Abstract read
In one paragraph

Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Kuikui Jiang *Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Wen Xia *Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Ruoxi Hong *Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Fei XuDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Qiufan ZhengDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Qianyi LuDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Kaping LeeDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Yuan LiDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Qinglian ZhaiDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Yanxia ShiDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Zhongyu YuanDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Shusen WangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of local treatment for liver oligometastases in breast cancer patients has been controversial. The aim of the study was to evaluate the prognostic factors for overall survival (OS) and progression-free survival (PFS) after hepatic local treatment and to explore appropriate therapy strategy in breast cancer patients with liver oligometastases.

methodsA cohort of 91 patients with oligometastatic liver lesions identified from around 34,000 breast cancer patients between 2002 and 2018 were retrospectively reviewed. We collected and analyzed their clinicopathologic and outcome data.

resultsWith a median follow up of 20.6 months [standard deviations (SD): 35.4], median OS and median PFS were 75.1 months [95% confidence interval (CI): 14.3-135.9 months] and 7.4 months (95% CI: 4.4-10.4 months), respectively. N3 stage, triple-negative breast cancer (TNBC) subtype, progressive disease (PD) after preoperative systemic therapy and older age of operation were associated with worse OS and PFS while postoperative systemic therapy alone, preoperative [partial response (PR)/stable disease (SD)] combined with postoperative systemic therapy indicated improved OS and PFS by univariate analysis. On multivariate analysis, N3 stage [hazard ratios (HR) 23.567; 95% CI: 1.751-317.277; P=0.017] and TNBC subtype (HR 10.758; 95% CI: 1.120-103.301; P=0.040) were related to worse OS. Likewise, N3 stage (HR 3.324; 95% CI 1.604-6.890; P=0.001) and TNBC subtype (HR 3.134; 95% CI: 1.015-9.674; P=0.047) remained associated with worse PFS. The postoperative mortality and morbidity were 0% and 1.099%, respectively.

conclusionsIn well-selected patients, local treatment of breast cancer liver oligometastases is safe and achieves relatively long OS, except patients with advanced N stage or aggressive subtype. Postoperative systemic treatment and effective preoperative systemic therapy combined with postoperative systemic therapy are the recommended treatment strategies.

Indexed as

Breast cancerlocal therapyoligometastasisprognostic factortreatment strategy

Identifiers

PMID35117467
PMCPMC8798212

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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.