Evidence map›Paper›PMID 34956427›Full record

ArticleThe EPMA journal2021

Plasma complement C7 as a target in non-small cell lung cancer patients to implement 3P medicine strategies.

Jae Gwang Park, Beom Kyu Choi, Youngjoo Lee, Eun Jung Jang, Sang Myung Woo, Jun Hwa Lee, Kyung-Hee Kim, Heeyoun Hwang, Wonyoung Choi, Se-Hoon Lee and 1 more

Open access · greenAbstract read
In one paragraph

Article in The EPMA journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

11 authors at 5 institutions in 3 countries.

Jae Gwang ParkCancer Diagnostics Branch, Division of Clinical Research, Research Institute, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Gyeonggi-do, Goyang-si, 10408 Republic of Korea.
Beom Kyu ChoiBiomedicine Production Branch, National Cancer Center, Goyang, Republic of Korea.
Youngjoo LeeCenter for Lung Cancer, National Cancer Center, Goyang, Republic of Korea.
Eun Jung JangCancer Diagnostics Branch, Division of Clinical Research, Research Institute, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Gyeonggi-do, Goyang-si, 10408 Republic of Korea.
Sang Myung WooBiomedicine Production Branch, National Cancer Center, Goyang, Republic of Korea.
Jun Hwa LeeCancer Diagnostics Branch, Division of Clinical Research, Research Institute, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Gyeonggi-do, Goyang-si, 10408 Republic of Korea.
Kyung-Hee KimDepartment of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Republic of Korea.
Heeyoun HwangResearch Center for Bioconvergence Analysis, Korea Basic Science Institute, 169-148, Gwahak-ro, Yuseong-gu, Daejeon, 34133 Republic of Korea.
Wonyoung ChoiCenter for Clinical Trials, National Cancer Center, Goyang, Republic of Korea.
Se-Hoon LeeDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-ro, Gangnam-gu, Seoul, Republic of Korea.
Byong Chul YooCancer Diagnostics Branch, Division of Clinical Research, Research Institute, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Gyeonggi-do, Goyang-si, 10408 Republic of Korea.ORCID 0000-0001-7937-0167
Breast Cancer Research Foundation · USNational Cancer Center · KRBiocon (Switzerland) · CHNational Cancer Center · USSamsung Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProgrammed cell death-1 (PD-1)/programmed cell death ligand-1 (PD-L1) immune checkpoint inhibitors (ICIs) significantly affect outcomes in non-small cell lung cancer (NSCLC) patients. However, differences in reactions toward PD-1/PD-L1 ICI among patients impose inefficient treatment. Therefore, developing a reliable biomarker to predict PD-1/PD-L1 ICI reaction is highly necessary for predictive, preventive, and personalized (3P) medicine. MATERIALS AND

methodsWe recruited 63 patients from the National Cancer Center (NCC) and classified them into the training and validation sets. Next, 99 patients were recruited for inclusion into the external validation set at the Samsung Medical Center (SMC). Proteomic analysis enabled us to identify plasma C7 levels, which were significantly different among groups classified by their overall response to the RECIST V 1.1-based assessment. Analytical performance was evaluated to predict the PD-1/PD-L1 ICI response for each type of immunotherapy, and NSCLC histology was evaluated by determining the C7 levels via ELISA.

resultsPlasma C7 levels were significantly different between patients with and without clinical benefits (PFS ≥ 6 months). Among the groups sorted by histology and PD-1/PD-L1 immunotherapy type, only the predicted accuracy for pembrolizumab-treated patients from both NCC and SMC was greater than 73%. In patients treated with pembrolizumab, C7 levels were superior to those of the companion diagnostics 22C3 (70.3%) and SP263 (62.1%). Moreover, for pembrolizumab-treated patients for whom the PD-L1 tumor proportion score (TPS) was < 50%, the predictive accuracy of C7 was nearly 20% higher than that of 22C3 and SP263.

conclusionEvaluation of plasma C7 levels shows an accurate prediction of NSCLC patient reactions on pembrolizumab. It demonstrates plasma C7 is an alternative and supportive biomarker to overcome the predictive limitation of previous 22C3 and SP263. Thus, it is clear that clinical use of plasma C7 allows predictive diagnosis on lung cancer patients who have not been successfully treated with current CDx and targeted prevention on metastatic diseases in secondary care caused by a misdiagnosis of current CDx. Reduction of patients' financial burden and increased efficacy of cancer treatment would also enable prediction, prevention, and personalization of medical service on NSCLC patients. In other words, plasma C7 provides efficient medical service and an optimized medical economy followed which finally promotes the prosperity of 3P medicine. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13167-021-00266-x.

Indexed as

BiomarkersComplement component 7Improved individual outcomesNon-small cell lung cancerPatient stratificationPembrolizumabPredictive preventive personalized medicine (3P medicine/3PM/PPPM)Targeted treatment

Identifiers

PMID34956427
PMCPMC8648880
OpenAlexW3216229627

What OpenQuestion holds

Textmetadata
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.