Evidence map›Paper›PMID 42718547›Full record

ArticleFrontiers in oncology2026

Minimal residual disease guides postoperative therapy in a patient with ALK-rearranged adenocarcinoma: a case report.

Xinghong Xian, Ke Wang, Liwen Wang, Hua Ke

Abstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 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

4 authors.

Xinghong XianDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China.
Ke WangDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China.
Liwen WangDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China.
Hua KeDepartment of Respiratory Medicine, Chengdu Seventh People's Hospital, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This case report explores the role of circulating tumor DNA (ctDNA)-based minimal residual disease (MRD) monitoring in predicting tumor recurrence or metastasis after consolidative surgery in a patient with ALK-rearranged non-small cell lung cancer (NSCLC). We present a case of a 43-year-old female patient with stage IVA ALK-rearranged NSCLC who initially responded to six months of Alectinib targeted therapy, underwent consolidative surgery with postoperative pathology confirming complete response in the resected primary tumor and lymph nodes, and continued two years of maintenance therapy. During this period, three consecutive MRD tests showed negative results, leading to discontinuation of postoperative therapy. However, two months after stopping Alectinib, the patient developed new brain metastasis in the occipital lobe, necessitating re-initiation of targeted treatment. This case demonstrates the current limitations of ctDNA-based MRD monitoring in reliably predicting recurrence and determining optimal treatment duration in NSCLC. Although MRD monitoring represents an important advancement in NSCLC management, our findings emphasize the need for additional research to validate its clinical applications, particularly in guiding treatment decisions and predicting disease recurrence. The results suggest that larger prospective studies are required to establish evidence-based protocols for MRD monitoring in NSCLC patients.

Indexed as

ALK rearrangementbrain metastasiscase reportctDNAminimal residual diseasenon-small cell lung cancer

Identifiers

PMID42718547
PMCPMC13553486

What OpenQuestion 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 OpenQuestion graph.