Gallbladder adenocarcinomas undergo subclonal diversification and selection from precancerous lesions to metastatic tumors

Abstract

We aimed to elucidate the evolutionary trajectories of gallbladder adenocarcinoma (GBAC) using multi-regional and longitudinal tumor samples. Using whole-exome sequencing data, we constructed phylogenetic trees in each patient and analyzed mutational signatures. A total of 11 patients including 2 rapid autopsy cases were enrolled. The most frequently altered gene in primary tumors was ERBB2 and TP53 (54.5%), followed by FBXW7 (27.3%). Most mutations in frequently altered genes in primary tumors were detectable in concurrent precancerous lesions (biliary intraepithelial neoplasia, BilIN), but a substantial proportion was subclonal. Subclonal diversity was common in BilIN (n=4). However, among subclones in BilIN, a certain subclone commonly shrank in concurrent primary tumors. In addition, selected subclones underwent linear and branching evolution, maintaining subclonal diversity. Combined analysis with metastatic tumors (n=11) identified branching evolution in 9 patients (81.8%). Of these, 8 patients (88.9%) had a total of 11 subclones expanded at least 7-fold during metastasis. These subclones harbored putative metastasis-driving mutations in cancer-related genes such as SMAD4, ROBO1, and DICER1. In mutational signature analysis, 6 mutational signatures were identified: 1, 3, 7, 13, 22, and 24 (cosine similarity >0.9). Signatures 1 (age) and 13 (APOBEC) decreased during metastasis while signatures 22 (aristolochic acid) and 24 (aflatoxin) were relatively highlighted. Subclonal diversity arose early in precancerous lesions and clonal selection was a common event during malignant transformation in GBAC. However, selected cancer clones continued to evolve and thus maintained subclonal diversity in metastatic tumors.

Data availability

The raw sequence data underlying this manuscript are available as fastq files at the NCBI SRA database under the BioProject number PRJNA821382.

The following data sets were generated
The following previously published data sets were used

Article and author information

Author details

  1. Minsu Kang

    Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6491-2277
  2. Hee Young Na

    Department of Pathology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  3. Soomin Ahn

    Department of Pathology, Sungkyunkwan University, Seoul, Republic of Korea
    For correspondence
    suminy317@gmail.com
    Competing interests
    The authors declare that no competing interests exist.
  4. Ji-Won Kim

    Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    For correspondence
    jiwonkim@snubh.org
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6426-9074
  5. Sejoon Lee

    Center for Precision Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  6. Soyeon Ahn

    Medical Research Collaboration Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  7. Ju Hyun Lee

    Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  8. Jeonghwan Youk

    Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  9. Haesook T Kim

    Department of Data Science, Dana Farber Cancer Institute, Boston, United States
    Competing interests
    The authors declare that no competing interests exist.
  10. Kui-Jin Kim

    Biomedical Research Institute, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  11. Koung Jin Suh

    Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  12. Jun Suh Lee

    Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  13. Se Hyun Kim

    Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2292-906X
  14. Jin Won Kim

    Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  15. Yu Jung Kim

    Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  16. Keun-Wook Lee

    Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  17. Yoo-Seok Yoon

    Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  18. Jee Hyun Kim

    Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  19. Jin-Haeng Chung

    Department of Pathology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  20. Ho-Seong Han

    Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.
  21. Jong Seok Lee

    Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
    Competing interests
    The authors declare that no competing interests exist.

Funding

Seoul National University Bundang Hospital Research Fund (No. 16-2021-001)

  • Ji-Won Kim

Small Grant for Exploratory Reserach (NRF-2018R1D1A1A02086240)

  • Ji-Won Kim

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Human subjects: This study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of Seoul National University Bundang Hospital (Number: B-1902/522-303). Informed consent was waived because of the retrospective and anonymous nature of the study.

Copyright

© 2022, Kang et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 1,031
    views
  • 165
    downloads
  • 7
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Minsu Kang
  2. Hee Young Na
  3. Soomin Ahn
  4. Ji-Won Kim
  5. Sejoon Lee
  6. Soyeon Ahn
  7. Ju Hyun Lee
  8. Jeonghwan Youk
  9. Haesook T Kim
  10. Kui-Jin Kim
  11. Koung Jin Suh
  12. Jun Suh Lee
  13. Se Hyun Kim
  14. Jin Won Kim
  15. Yu Jung Kim
  16. Keun-Wook Lee
  17. Yoo-Seok Yoon
  18. Jee Hyun Kim
  19. Jin-Haeng Chung
  20. Ho-Seong Han
  21. Jong Seok Lee
(2022)
Gallbladder adenocarcinomas undergo subclonal diversification and selection from precancerous lesions to metastatic tumors
eLife 11:e78636.
https://doi.org/10.7554/eLife.78636

Share this article

https://doi.org/10.7554/eLife.78636

Further reading

    1. Cancer Biology
    2. Immunology and Inflammation
    Sofia V Krasik, Ekaterina A Bryushkova ... Ekaterina O Serebrovskaya
    Research Article

    The current understanding of humoral immune response in cancer patients suggests that tumors may be infiltrated with diffuse B cells of extra-tumoral origin or may develop organized lymphoid structures, where somatic hypermutation and antigen-driven selection occur locally. These processes are believed to be significantly influenced by the tumor microenvironment through secretory factors and biased cell-cell interactions. To explore the manifestation of this influence, we used deep unbiased immunoglobulin profiling and systematically characterized the relationships between B cells in circulation, draining lymph nodes (draining LNs), and tumors in 14 patients with three human cancers. We demonstrated that draining LNs are differentially involved in the interaction with the tumor site, and that significant heterogeneity exists even between different parts of a single lymph node (LN). Next, we confirmed and elaborated upon previous observations regarding intratumoral immunoglobulin heterogeneity. We identified B cell receptor (BCR) clonotypes that were expanded in tumors relative to draining LNs and blood and observed that these tumor-expanded clonotypes were less hypermutated than non-expanded (ubiquitous) clonotypes. Furthermore, we observed a shift in the properties of complementarity-determining region 3 of the BCR heavy chain (CDR-H3) towards less mature and less specific BCR repertoire in tumor-infiltrating B-cells compared to circulating B-cells, which may indicate less stringent control for antibody-producing B cell development in tumor microenvironment (TME). In addition, we found repertoire-level evidence that B-cells may be selected according to their CDR-H3 physicochemical properties before they activate somatic hypermutation (SHM). Altogether, our work outlines a broad picture of the differences in the tumor BCR repertoire relative to non-tumor tissues and points to the unexpected features of the SHM process.

    1. Cancer Biology
    2. Computational and Systems Biology
    Rosalyn W Sayaman, Masaru Miyano ... Mark A LaBarge
    Research Article Updated

    Effects from aging in single cells are heterogenous, whereas at the organ- and tissue-levels aging phenotypes tend to appear as stereotypical changes. The mammary epithelium is a bilayer of two major phenotypically and functionally distinct cell lineages: luminal epithelial and myoepithelial cells. Mammary luminal epithelia exhibit substantial stereotypical changes with age that merit attention because these cells are the putative cells-of-origin for breast cancers. We hypothesize that effects from aging that impinge upon maintenance of lineage fidelity increase susceptibility to cancer initiation. We generated and analyzed transcriptomes from primary luminal epithelial and myoepithelial cells from younger <30 (y)ears old and older >55 y women. In addition to age-dependent directional changes in gene expression, we observed increased transcriptional variance with age that contributed to genome-wide loss of lineage fidelity. Age-dependent variant responses were common to both lineages, whereas directional changes were almost exclusively detected in luminal epithelia and involved altered regulation of chromatin and genome organizers such as SATB1. Epithelial expression variance of gap junction protein GJB6 increased with age, and modulation of GJB6 expression in heterochronous co-cultures revealed that it provided a communication conduit from myoepithelial cells that drove directional change in luminal cells. Age-dependent luminal transcriptomes comprised a prominent signal that could be detected in bulk tissue during aging and transition into cancers. A machine learning classifier based on luminal-specific aging distinguished normal from cancer tissue and was highly predictive of breast cancer subtype. We speculate that luminal epithelia are the ultimate site of integration of the variant responses to aging in their surrounding tissue, and that their emergent phenotype both endows cells with the ability to become cancer-cells-of-origin and represents a biosensor that presages cancer susceptibility.