Evidence map›Paper›PMID 36369895›Full record

ArticleCancer science2023

Selection bias due to delayed comprehensive genomic profiling in Japan.

Taichi Tamura, Masachika Ikegami, Yusuke Kanemasa, Makiko Yomota, Akiko Furusawa, Ryohei Otani, Chiaki Saita, Ichiro Yonese, Tomoko Onishi, Hiroshi Kobayashi and 4 more

Abstract read
In one paragraph

Article in Cancer science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Selective MYC 5' amplification in postirradiation/lymphedema-associated angiosarcoma.Virchows Archiv : an international journal of pathology · 2026
    Article
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  14. Article
  15. FoundationOne CDx detected an uncovered variant ofRespiratory medicine case reports · 2023
    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

14 authors.

Taichi TamuraDepartment of Medical Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Masachika IkegamiDepartment of Musculoskeletal Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0003-0491-7142
Yusuke KanemasaDepartment of Medical Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Makiko YomotaDepartment of Thoracic Oncology and Respiratory Medicine, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Akiko FurusawaDepartment of Gynecology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Ryohei OtaniDepartment of Neurosurgery, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4094-157X
Chiaki SaitaDepartment of Breast Surgery, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Ichiro YoneseDepartment of Urology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Tomoko OnishiDepartment of Gastroenterology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Hiroshi KobayashiDepartment of Orthopedic Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Toru AkiyamaDepartment of Orthopedic Surgery, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Tatsu ShimoyamaDepartment of Medical Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Tomoyuki ArugaDepartment of Clinical Genetics, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Tatsuro YamaguchiDepartment of Clinical Genetics, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0001-8454-1995

Funding

Japan Orthopaedics and Traumatology Foundation 418Japan Society for the Promotion of Science 22K15571Komagome Hospital R04030304
6 · The paper itself

Abstract

Patients with advanced cancer undergo comprehensive genomic profiling in Japan only after treatment options have been exhausted. Patients with a very poor prognosis were not able to undergo profiling tests, resulting in a selection bias called length bias, which makes accurate survival analysis impossible. The actual impact of length bias on the overall survival of patients who have undergone profiling tests is unclear, yet appropriate methods for adjusting for length bias have not been developed. To assess the length bias in overall survival, we established a simulation-based model for length bias adjustment. This study utilized clinicogenomic data of 8813 patients with advanced cancer who underwent profiling tests at hospitals throughout Japan between June 2019 and April 2022. Length bias was estimated by the conditional Kendall τ statistics and was significantly positive for 13 of the 15 cancer subtypes, suggesting a worse prognosis for patients who underwent profiling tests in early timing. The median overall survival time in colorectal, breast, and pancreatic cancer from the initial survival-prolonging chemotherapy with adjustment for length bias was 937 (886-991), 1225 (1152-1368), and 585 (553-617) days, respectively (median; 95% credible interval). Adjusting for length bias made it possible to analyze the prognostic relevance of oncogenic mutations and treatments. In total, 12 tumor-specific oncogenic mutations correlating with poor survival were detected after adjustment. There was no difference in survival between FOLFIRINOX (leucovorin, fluorouracil, irinotecan, and oxaliplatin) or gemcitabine with nab-paclitaxel-treated groups as first-line chemotherapy for pancreatic cancer. Adjusting for length bias is an essential part of utilizing real-world clinicogenomic data.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsPancreatic NeoplasmsGenomicsHumansJapanSelection Biasdata adjustmentgenetic profilingNational Program of Cancer Registriesprognosisselection bias

Identifiers

PMID36369895
PMCPMC9986065

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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.