Evidence map›Paper›PMID 40621126›Full record

ArticleCancer management and research2025

Integrated Traditional Chinese and Western Medicine in Lung Adenocarcinoma with Rare EGFR Mutation and Nephrotic Syndrome: A Case Report.

Lirong Zhang, Liye Cai, Luwei Ruan, Jie Li

Abstract readCase Reports
In one paragraph

Article in Cancer management and research, 2025. 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

4 authors.

Lirong ZhangDepartment of Oncology, Affiliated Sanming Integrated Medicine Hospital of Fujian University of Traditional Chinese Medicine, Sanming, Fujian, 365001, People's Republic of China.ORCID 0009-0009-7106-0610
Liye CaiDepartment of Oncology, Affiliated Sanming Integrated Medicine Hospital of Fujian University of Traditional Chinese Medicine, Sanming, Fujian, 365001, People's Republic of China.
Luwei RuanDepartment of Oncology, Affiliated Sanming Integrated Medicine Hospital of Fujian University of Traditional Chinese Medicine, Sanming, Fujian, 365001, People's Republic of China.
Jie LiDepartment of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This case report presents a 67-year-old male diagnosed with stage IV lung adenocarcinoma harboring rare EGFR exon 18/20 mutations (Gly719Cys/Ser768Ile) and a concurrent TP53 mutation, complicated by nephrotic syndrome. The scarcity of approved EGFR-TKIs targeting rare EGFR mutations in NSCLC, coupled with nephrotic syndrome-induced renal impairment, hypoalbuminemia, and massive pleural effusion refractory to conventional management, prompted the development of a personalized multimodal approach.A multimodal therapeutic regimen incorporating albumin-bound paclitaxel, intrathoracic perfusion of Endostar (recombinant human endostatin), and traditional Chinese medicine (TCM) was implemented, achieving effective disease control. Notably, the treatment resulted in significant tumor shrinkage (reduction rate: 48.1% by RECIST 1.1), complete resolution of malignant pleural effusion, and marked improvement in nephrotic syndrome parameters. The synergistic effects of targeted chemotherapy, anti-angiogenic therapy, and TCM-based symptom modulation highlight the potential of integrative approaches in managing advanced malignancies with complex molecular profiles and multisystem complications.

Indexed as

albumin-bound paclitaxelEGFR mutationendostarlung adenocarcinomamalignant pleural effusionnephrotic syndrome

Identifiers

PMID40621126
PMCPMC12229158

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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.