Evidence map›Paper›PMID 39779891›Full record

ArticleNPJ precision oncology2025

Longitudinal genomic profiling using liquid biopsies in metastatic nonsquamous NSCLC following first line immunotherapy.

Haolun Ding, Min Yuan, Yaning Yang, Xu Steven Xu

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 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Insights into pet-based radiogenomics in oncology: an updated systematic review.European journal of nuclear medicine and molecular imaging · 2025
    Pooled it
  2. The Impact of Concordance between Liquid and Tissue Biopsy for Actionable Mutations: Insights from the ROME Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Trial
  3. Review
  4. Article
  5. Review
  6. Targeting tumor transition windows.Exploration of targeted anti-tumor therapy · 2026
    Review
  7. Article
  8. Translational lung cancer research · 2025
    Article
  9. Article
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.

Haolun DingDepartment of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, Anhui, China.
Min YuanDepartment of Health Data Science, Anhui Medical University, Hefei, Anhui, China. myuan@ustc.edu.cn.ORCID http://orcid.org/0000-0002-7172-7253
Yaning YangDepartment of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, Anhui, China.
Xu Steven XuClinical Pharmacology and Quantitative Science, Genmab Inc, Princeton, NJ, USA. sxu@genmab.com.ORCID http://orcid.org/0000-0001-6997-5533

Funding

National Natural Science Foundation of China (National Science Foundation of China) 11671375Natural Science Foundation of Anhui Province (Anhui Provincial Natural Science Foundation) 2008085MA09Natural Science Foundation of Anhui Province (Anhui Provincial Natural Science Foundation) 2022AH050703
6 · The paper itself

Abstract

Tumor genomic profiling is often limited to one or two timepoints due to the invasiveness of tissue biopsies, but longitudinal profiling may provide deeper clinical insights. Using ctDNA data from IMpower150 study, we examined genetic changes in metastatic non-squamous NSCLC post-first-line immunotherapy. Mutations were most frequently detected in TP53, KRAS, SPTA1, FAT3, and LRP1B at baseline and during treatment. Mutation levels rose prior to radiographic progression in most progressing patients, with specific mutations (SPTA1, STK11, KEAP1, SMARCA4, TBX3, CDH2, and MLL3) significantly enriched in those with progression or nondurable response. However, ctDNA's role in detecting hyperprogression and pseudoprogression remains uncertain. STK11, SMARCA4, KRAS, SLT2, and KEAP1 mutations showed the strongest correlation with poorer overall survival, while SMARCA4, STK11, SPTA1, TBX3, and KEAP1 mutations correlated with shorter progression-free survival. Overall, longitudinal liquid biopsy profiling provided valuable insights into lung cancer biology post-immunotherapy, potentially guiding personalized therapies and future drug development.

Identifiers

PMID39779891
PMCPMC11711381

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.