Evidence map›Paper›PMID 33140254›Full record

ArticleAnnals of surgical oncology2021

Targeted Next-Generation Sequencing Analysis for Recurrence in Early-Stage Lung Adenocarcinoma.

In Ae Kim, Jae Young Hur, Hee Joung Kim, Jung Hoon Park, Jae Joon Hwang, Song Am Lee, Seung Eun Lee, Wan Seop Kim, Kye Young Lee

Open access · hybridAbstract read
In one paragraph

Article in Annals of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 6% of its field
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Oncofetal IGF2BP3-mediated control of microRNA structural diversity in the malignancy of early-stage lung adenocarcinoma.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. GPX8BMC medical genomics · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Annals of translational medicine · 2022
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

9 authors at 2 institutions in 1 country.

In Ae KimPrecision Medicine Lung Cancer Center, Konkuk University Medical Center, Seoul, Republic of Korea.
Jae Young HurPrecision Medicine Lung Cancer Center, Konkuk University Medical Center, Seoul, Republic of Korea.
Hee Joung KimPrecision Medicine Lung Cancer Center, Konkuk University Medical Center, Seoul, Republic of Korea.
Jung Hoon ParkMacrogen Inc., Seoul, Republic of Korea.
Jae Joon HwangPrecision Medicine Lung Cancer Center, Konkuk University Medical Center, Seoul, Republic of Korea.
Song Am LeePrecision Medicine Lung Cancer Center, Konkuk University Medical Center, Seoul, Republic of Korea.
Seung Eun LeePrecision Medicine Lung Cancer Center, Konkuk University Medical Center, Seoul, Republic of Korea.
Wan Seop Kim *Precision Medicine Lung Cancer Center, Konkuk University Medical Center, Seoul, Republic of Korea. wskim@kuh.ac.kr.
Kye Young Lee *Precision Medicine Lung Cancer Center, Konkuk University Medical Center, Seoul, Republic of Korea. kyleemd@kuh.ac.kr.ORCID http://orcid.org/0000-0003-4687-5593
Konkuk University · KRMacrogen (South Korea) · KR

Funding

Ministry of Trade, Industry and Energy 10053582
6 · The paper itself

Abstract

backgroundDespite surgical resection, early lung adenocarcinoma has a recurrence rate of 20-50%. No clear predictive markers for recurrence of early lung adenocarcinoma are available. Targeted next-generation sequencing (NGS) is rarely used to identify recurrence-related genes. We aimed to identify genetic alterations that can predict recurrence, by comparing the molecular profiles of patient groups with and without recurrence.

methodsTissues from 230 patients with resected stage I-II lung adenocarcinoma (median follow-up: 49 months) were analyzed via targeted NGS for 207 cancer-related genes. The recurrence-free survival according to the number and type of mutation was estimated using the Kaplan-Meier method. Independent predictive biomarkers related to recurrence were identified using the Cox proportional hazards model.

resultsRecurrence was observed in 64 patients (27.8%). In multivariate analysis adjusted for age, sex, smoking history, stage, surgical mode, and visceral pleural invasion, the CTNNB1 mutation and fusion genes (ALK, ROS1, RET) were negative prognostic factors for recurrence in early-stage lung adenocarcinoma (HR 4.47, p = 0.001; HR 2.73, p = 0.009). EGFR mutation was a favorable factor (HR 0.51, p = 0.016), but the CTNNB1/EGFR co-mutations were negative predictors (HR 19.2, p < 0.001). TP53 mutation was a negative predictor compared with EGFR mutation for recurrence (HR 5.24, p = 0.02).

conclusionsTargeted NGS can provide valuable information to predict recurrence and identify patients at high recurrence risk, facilitating selection of the treatment strategy among close monitoring and adjuvant-targeted therapy. Larger datasets are required to validate these findings.

Indexed as

Adenocarcinoma of LungLung NeoplasmsHigh-Throughput Nucleotide SequencingHumansMutationNeoplasm Recurrence, LocalPrognosis

Identifiers

PMID33140254
PMCPMC8184531
OpenAlexW3097083397

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.