Evidence map›Paper›PMID 32323774›Full record

ArticleOncology reports2020

Targeted deep sequencing contributes to guiding personalized targeted therapy for advanced biliary tract cancer patients with non‑radical resection: A real‑world study.

Feiling Feng, Qingbao Cheng, Dadong Zhang, Bin Li, Hao Qin, Chang Xu, Miao Han, Yong Yu, Zhizhen Li, Jing-Yu Li and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2020. 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 39% 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, 2 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

16 authors at 2 institutions in 1 country.

Feiling Feng *Department of Biliary I, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai 200438, P.R. China.
Qingbao Cheng *Department of Biliary I, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai 200438, P.R. China.
Dadong Zhang *Research and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai 201114, P.R. China.
Bin LiDepartment of Biliary I, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai 200438, P.R. China.
Hao QinResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai 201114, P.R. China.
Chang XuDepartment of Biliary I, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai 200438, P.R. China.
Miao HanResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai 201114, P.R. China.
Yong YuDepartment of Biliary I, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai 200438, P.R. China.
Zhizhen LiDepartment of Biliary I, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai 200438, P.R. China.
Jing-Yu LiResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai 201114, P.R. China.
Zhiquan QiuDepartment of Biliary I, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai 200438, P.R. China.
Lei XiongResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai 201114, P.R. China.
Chen LiuDepartment of Biliary I, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai 200438, P.R. China.
Fugen LiResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai 201114, P.R. China.
Bin YiDepartment of Biliary I, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai 200438, P.R. China.
Xiaoqing JiangDepartment of Biliary I, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai 200438, P.R. China.
Second Military Medical University · CNEastern Hepatobiliary Surgery Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted therapy based on specific genetic alterations has been proven to be an effective treatment for various types of cancer. In the present study, we aimed to explore the efficacy of personalized targeted therapy guided by targeted deep sequencing for patients with advanced biliary tract cancer (BTC) after non‑radical resection. Targeted deep sequencing was performed on 49 patients with BTC, to whom biologic agents were recommended. Among 32 patients with stage IV and R2 resection (a non‑radical resection), 21 patients underwent conventional chemotherapy (mGEMOX), while the remaining 11 patients received a personalized targeted agent. The genomic landscape of the 49 patients with BTC was determined and the results showed that genetic alterations were enriched in the ERBB family and cell cycle pathway. After a median follow‑up of 12 months, the 11 BTC patients with personalized targeted therapy showed a median progression‑free survival (PFS) of 4.5 months (2.5‑20.5 months), a median overall survival (OS) of 12.9 months (4.7‑24.8 months) and a disease control rate (DCR) of 63.6%. In the other 21 BTC patients, who were undergoing conventional chemotherapy, the BTC patients had a median PFS of 1.5 months (0.5‑11.6 months), a median OS of 4.1 months (1.3‑18.4 months), and a DCR of 33.3%. In addition, 36.4% of the patients in the personalized targeted therapy group experienced grade >2 treatment‑related toxicity vs. 19.0% of patients in the conventional chemotherapy group. This real‑world study suggests that targeted deep sequencing contributes to the guidance of personalized targeted therapy based on individual actionable mutations, which may benefit advanced BTC patients undergoing non‑radical resection.

Indexed as

Genes, NeoplasmMutationAdultAgedAntineoplastic Combined Chemotherapy ProtocolsBiliary Tract NeoplasmsClass I Phosphatidylinositol 3-KinasesDasatinibDeoxycytidineErb-b2 Receptor Tyrosine KinasesErbB ReceptorsEverolimusFemaleGemcitabineHigh-Throughput Nucleotide SequencingHumansClass I Phosphatidylinositol 3-KinasesDasatinibDeoxycytidineEGFR protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesERBB3 protein, humanERBB4 protein, humanErbB ReceptorsEverolimusGemcitabineImatinib MesylateLapatinibOrganoplatinum CompoundsPIK3CA protein, humanReceptor, ErbB-3Receptor, ErbB-4biliary tract cancernon radical resectionpersonalized targeted therapyprognosistargeted deep sequencing

Identifiers

PMID32323774
PMCPMC7057932
OpenAlexW3005370299

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.