Evidence map›Paper›PMID 41496417›Full record

ReviewTranslational oncology2026

Adaptive therapy for perioperative non-small cell lung cancer: strategies guided by dynamic minimal residual disease adjustment.

Li-Jin Xie, Li-Li Fu, Shu-Cen Liu, Chang-Sen Bai, Bai-Cheng Xu, Xiong-Wen He, Hai-Feng Lin, Yue-Can Zeng, Wen-Jun Tang

Abstract readReview
In one paragraph

Review in Translational oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Frontiers in oncology · 2026
    Article
  3. 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

9 authors.

Li-Jin XieDepartment of Radiation Oncology, Cancer Treatment Center, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Road, Haikou, 570311, China.
Li-Li FuDepartment of Radiation Oncology, Cancer Treatment Center, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Road, Haikou, 570311, China.
Shu-Cen LiuDepartment of Oncology, Cancer Treatment Center, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Road, Haikou, 570311, China.
Chang-Sen BaiDepartment of Radiation Oncology, Cancer Treatment Center, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Road, Haikou, 570311, China.
Bai-Cheng XuDepartment of Radiation Oncology, Cancer Treatment Center, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Road, Haikou, 570311, China.
Xiong-Wen HeDepartment of Radiation Oncology, Cancer Treatment Center, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Road, Haikou, 570311, China.
Hai-Feng LinDepartment of Oncology, Cancer Treatment Center, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Road, Haikou, 570311, China.
Yue-Can ZengDepartment of Radiation Oncology, Cancer Treatment Center, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Road, Haikou, 570311, China. Electronic address: wellyy2005@hainmc.edu.cn.
Wen-Jun TangDepartment of Oncology, Cancer Treatment Center, The Second Affiliated Hospital of Hainan Medical University, 368 Yehai Road, Haikou, 570311, China. Electronic address: twjlucky@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer remains the leading cause of cancer incidence and mortality worldwide, with non-small cell lung cancer (NSCLC) accounting for about 85% of cases. The low rate of early diagnosis and the high rate of occult metastases limit the survival benefits of conventional treatments. The current TNM staging system fails to fully reflect tumor heterogeneity or the dynamic molecular evolution of the disease, thus affecting the prediction of recurrence and the prognostic stratification. Some recent advances in minimal residual disease (MRD) detection, such as ultra-sensitive liquid biopsy technologies, have largely overcome the limitations of traditional imaging and offered a transformative approach for continuous, precision-based management of lung cancer. This review systematically summarized the technological evolution of MRD detection and highlighted its clinical significance in guiding adaptive therapy for NSCLC, including treatment escalation, de-escalation, and the emerging concept of precision-guided drug holidays. Moreover, the authors comprehensively discussed the "Four-Dimensional TNMB Staging System," which incorporates continuous molecular monitoring to address the static limitations of conventional staging and enhance the accuracy of prognostic stratification. Although ongoing challenges, such as the lack of standardized interpretation criteria and limited detection sensitivity, the combinations with the third-generation liquid biopsy platforms, multi-omics analyses, and multi-center prospective validation studies are expected to advance the clinical implementation of MRD-guided strategies. The paradigm change will enable the transition of NSCLC management from conventional standardized models to a precision-guided, closed-loop system of "monitoring-intervention-remonitoring," establishing a solid theoretical and practical foundation for comprehensive, molecularly driven management strategies.

Indexed as

Adaptive therapyDrug holidayMinimal residual disease (MRD)Non-small cell lung cancer (NSCLC)

Identifiers

PMID41496417
PMCPMC12813118

What Socratic 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 Socratic graph.