Evidence map›Paper›PMID 42786270›Full record

ArticleOncogene2026

Phylogenetic and phylodynamic approaches to understanding the evolution of non-small cell lung cancer using single-cell sequencing.

Teng Li, Xianghan Li, Yiran Zou, Thomas K F Wong, Michael J Campa, Elizabeth B Gottlin, Edward F Patz, Allen Rodrigo

Abstract read
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In one paragraph

Article in Oncogene, 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

8 authors.

Teng LiSchool of Biological Sciences, University of Auckland, Auckland, New Zealand. teng.li@auckland.ac.nz.ORCID http://orcid.org/0000-0002-3224-0477
Xianghan LiResearch School of Biology, Australian National University, Canberra, ACT, Australia.
Yiran ZouResearch School of Biology, Australian National University, Canberra, ACT, Australia.
Thomas K F WongResearch School of Biology, Australian National University, Canberra, ACT, Australia.
Michael J CampaDepartment of Radiology, Duke University Medical Center, Durham, NC, USA.
Elizabeth B GottlinDepartment of Radiology, Duke University Medical Center, Durham, NC, USA.
Edward F PatzDepartment of Radiology, Duke University Medical Center, Durham, NC, USA. patz0002@mc.duke.edu.ORCID http://orcid.org/0000-0003-3374-1596
Allen RodrigoSchool of Biological Sciences, University of Auckland, Auckland, New Zealand. a.rodrigo@auckland.ac.nz.ORCID http://orcid.org/0000-0002-8327-7317

Funding

University of Auckland 4020-12090U.S. Department of Defense (United States Department of Defense) W81XWH-15-1-0243
6 · The paper itself

Abstract

Characterizing the genealogy of tumor cells and their population dynamics is central to our understanding of the evolution of cancer. While direct monitoring of the tumor evolutionary process is impractical, we leverage advances in phylogenetics and phylodynamics to explore the evolutionary dynamics of non-small cell lung cancer (NSCLC) using single-cell whole exome sequencing data from 351 tumor cells across 11 NSCLC patients, predominantly focusing on the primary tumors and early stages of NSCLC. Our results reveal distinct phylogenetic tree shapes and evolutionary trajectories across different stages of NSCLC evolution. However, this intricate and multi-phase evolutionary process cannot be fully elucidated by current tumor models. Herein, we hypothesize that tumors progress through the following phases: (1) an initial rapid expansion through Big Bang-like growth, (2) a prolonged plateau period of non-progression with possible accumulation of neutral substitutions, (3) a subsequent phase where adaptive substitutions accumulate gradually, (4) a bottleneck event where selectively advantageous subclones acquire invasive capabilities (characterized by a pattern of punctuated evolution), and, potentially, a rapid expansion leading to metastasis. This work highlights the use of single-cell phylogenetics and phylodynamics for interpreting the evolution of NSCLC, with potential in predicting cancer progression, resistance mechanisms, and treatment response.

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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.