Evidence map›Paper›PMID 41390870›Full record

ArticleNPJ precision oncology2025

Serial monitoring of cerebrospinal fluid in patients with leptomeningeal metastases in lung cancer via the Ommaya reservoir as a predictive indicator of therapeutic efficacy and clinical prognosis.

Hehui Fang, Haitao Luo, Shujin Li, Naimeng Yan, Shu Xu, Na Liu, Xiaoyue Wang, Ting Xu, Wanwan Cheng, Yong Liu and 2 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Glecirasib treatment inFrontiers in oncology · 2026
    Article
  5. 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.

Hehui Fang *Brain Metastases Diagnosis and Treatment Centre, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Haitao Luo *Kindstar Global Precision Medicine Institute, Shenzhen, China.
Shujin Li *Kindstar Global Precision Medicine Institute, Shenzhen, China.
Naimeng YanKindstar Global Precision Medicine Institute, Shenzhen, China.
Shu XuBrain Metastases Diagnosis and Treatment Centre, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Na LiuBrain Metastases Diagnosis and Treatment Centre, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Xiaoyue WangBrain Metastases Diagnosis and Treatment Centre, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Ting XuBrain Metastases Diagnosis and Treatment Centre, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Wanwan ChengBrain Metastases Diagnosis and Treatment Centre, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Yong LiuDepartment of Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Chuanyong YuDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Shencun FangBrain Metastases Diagnosis and Treatment Centre, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China. fang1984@njmu.edu.cn.

Funding

The 'Six one projects' in Jiangsu Province LGY2019006
6 · The paper itself

Abstract

Leptomeningeal metastasis (LM) is a severe neurological complication in patients with lung adenocarcinoma (LUAD), typically indicating terminal stage and poor survival. Optimal treatments for patients with LM-LUAD rely on accurately predicting treatment efficacy and dynamically adjusting regimens. Here, we collected 301 cerebrospinal fluid (CSF) samples from 125 patients with LM-LUAD via the Ommaya reservoir at baseline and during the treatment course to systematically explore the clinical significance of CSF circulating tumor DNA (ctDNA). At baseline, the positive detection rate of CSF ctDNA (99.2%) was significantly higher than that of plasma ctDNA (57.6%). By evaluating the association between varying magnitudes of ctDNA dynamic changes and clinical responses at each time interval during the treatment, we discovered that when the change in ctDNA reached 20%, the consistency with clinical assessment could exceed 90%. Moreover, we further analyzed the significance of different values of CSF ctDNA mutation frequencies at baseline and various time points, as well as the trends of ctDNA changes relative to the baseline levels, in predicting patient prognosis. Accordingly, we constructed a CSF ctDNA-based prognostic map and developed a multi-feature model that exhibited outstanding performance in predicting and assessing the clinical responses of patients. To the best of our knowledge, this work represents the most systematic large-scale study on CSF ctDNA-based dynamic monitoring of patients with LM-LUAD, which is of great significance for guiding clinical treatments to extend patient lives.

Identifiers

PMID41390870
PMCPMC12800160

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.