Evidence map›Paper›PMID 30866688›Full record

ArticleIntegrative cancer therapies

Inhibitory Effects of HangAmDan-B1 (HAD-B1) Combined With Afatinib on H1975 Lung Cancer Cell-Bearing Mice.

Hwa Jeong Kang, Jeehye Kim, Seong Hyeok Cho, So-Jung Park, Hwa-Seung Yoo, In-Cheol Kang

Abstract read
In one paragraph

Article in Integrative cancer therapies. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

6 authors.

Hwa Jeong Kang1 Hoseo University, Asan, Chungcheongnam-do, Republic of Korea.
Jeehye Kim2 Dunsan Oriental Medical Hospital of Daejeon University, Daejeon, Chungcheongnam-do, Republic of Korea.
Seong Hyeok Cho1 Hoseo University, Asan, Chungcheongnam-do, Republic of Korea.
So-Jung Park2 Dunsan Oriental Medical Hospital of Daejeon University, Daejeon, Chungcheongnam-do, Republic of Korea.
Hwa-Seung Yoo2 Dunsan Oriental Medical Hospital of Daejeon University, Daejeon, Chungcheongnam-do, Republic of Korea.
In-Cheol Kang1 Hoseo University, Asan, Chungcheongnam-do, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidermal growth factor receptor mutation-positive non-small cell lung cancer is cared for mainly by target therapeutics in the clinical treatment at present. We investigated the antitumor effect of HangAmDan-B1 (HAD-B1) combined with afatinib on H1975 (L858R/T790M double mutation) lung cancer cells. The combined treatment of HAD-B1 with afatinib inhibited the proliferation of H1975 cells in a dose-dependent manner compared with the treatment of afatinib or HAD-B1 alone. The combined treatment group significantly induced early apoptosis and cell cycle arrest of the cells compared with afatinib- or HAD-B1-treated control group. Profile analysis of cell cycle proteins in H1975 cells treated with the combination of HAD-B1 and afatinib using InnoPharmaScreen antibody microarray showed downregulation of pERK1/2 and upregulation of p16 in the cells. In vivo tumor growth assay in xenograft animal model of human H1975 lung cancer cells revealed that the mean tumor volume in the group treated with the combination of HAD-B1 and afatinib showed a significant reduction compared with the control groups.

Indexed as

AfatinibAnimalsAntineoplastic Combined Chemotherapy ProtocolsApoptosisCell Cycle CheckpointsCell Line, TumorDrug Resistance, NeoplasmErbB ReceptorsHumansLung NeoplasmsMiceMutationProtein Kinase InhibitorsSignal TransductionXenograft Model Antitumor AssaysAfatinibErbB ReceptorsProtein Kinase InhibitorsEGFR L858R/T790M double mutation cellsH1975 cellsHangAmDan-B1lung cancer

Identifiers

PMID30866688
PMCPMC6419252

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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.