Evidence map›Paper›PMID 37441425›Full record

ArticleFrontiers in oncology2023

RB1 aberrations predict outcomes of immune checkpoint inhibitor combination therapy in NSCLC.

Qian Wang, Tao Yu, Zi-Hao Ke, Fu-Feng Wang, Jia-Ni Yin, Yang Shao, Kai-Hua Lu

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Qian WangDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Tao YuDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Zi-Hao KeDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Fu-Feng WangGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China.
Jia-Ni YinGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China.
Yang ShaoGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu, China.
Kai-Hua LuDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Immune checkpoint inhibitors (ICI) have changed the treatment of non-small cell lung cancer (NSCLC). Furthermore, compared with monotherapy, ICI combination therapy had better efficacy and partly different mechanism. Therefore, we aim to investigate and improve biomarkers specialized for ICI combination therapy. Methods: We enrolled 53 NSCLC patients treated with ICI combination therapy and collected their tissue and plasma samples to perform next-generation sequencing (NGS) with a 425-gene panel. Results: The line of treatment was the only clinical factor significantly affecting objective response rate (ORR) and progression-free survival (PFS). Surprisingly, classical markers PD-L1 and TMB only had limited predictive values in the ICI combination therapy. Instead, we found RB1 mutation was significantly associated with prognosis. Patients with mutated RB1 had shorter PFS than those with wild RB1 (134d vs 219d, p=0.018). Subsequent analysis showed the RB1 related mutated cell cycle and chromosomal instability were also deleterious to prognosis (103d vs 411d, p<0.001; 138d vs 505d, p=0.018). Additionally, patients with more circulating tumor DNA (ctDNA) had significantly shorter PFS (41d vs 194d, p=0.0043). Conclusion: This study identified that NSCLC patients with mutated RB1 were less sensitive to ICI combination therapy. RB1 mutations and following cell cycle abnormalities and chromosomal instability can potentially guide clinical management.

Indexed as

cell cyclechromosomal instabilitycombination immunotherapyimmune checkpoint inhibitorsnext-generation sequencingnon-small cell lung cancerRB1

Identifiers

PMID37441425
PMCPMC10334286

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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.