Cited by 17

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Expression Analysis of Autophagy Related Markers LC3B, p62 and HMGB1 Indicate an Autophagy-Independent Negative Prognostic Impact of High p62 Expression in Pulmonary Squamous Cell Carcinomas

Langer, Rupert, Neppl, Christina, Keller, Manuel D., Schmid, Ralph A., Tschan, Mario P., Berezowska, Sabina·2018·Cancers

Abstract

Autophagy is involved in maintaining cellular homeostasis under stress conditions. It also plays an important role in various diseases including cancer. Pulmonary squamous cell carcinomas (pSQCC) at present lack targetable molecular alterations, and demand alternative therapeutic options. We assessed the expression levels of autophagy related proteins LC3B, p62, and HMGB1 in 271 primary resected pSQCC by immunohistochemistry, in correlation with clinical and pathological parameters, as a rationale for a potential autophagy directed therapy. LC3B, p62, and HMGB1 staining showed various patterns. LC3Bhighp62low levels, suggested to indicate intact activated autophagy, were associated with prolonged disease specific survival (DSS) and LC3Bhighp62high levels, indicating activated but late stage impaired autophagy, with shorter DSS (p = 0.024). p62high expression regardless of LC3B, however, showed an even stronger association with shorter DSS (p = 0.015) and was also an independent negative prognostic factor in multivariate analysis (HR = 2.99; 95% CI 1.38–6.52; p = 0.006). HMGB1 expression correlated neither with the expression of LC3B and p62, nor with patients’ outcome. Different states of autophagy characterized by distinct p62 and LC3B expression patterns may be linked to patient’s prognosis in pSQCC. Our results, however, point also to an autophagy independent role of p62 with an even more pronounced prognostic impact compared to autophagy related p62.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/cancers10090281

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Examples of immunohistochemical stainings; (A) LC3B low, (B) LC3B high, (C) p62 low (any cellular compartment), (D) p62 cytoplasmic low, (E) p62 cytoplasmic/dot like high, nuclear low, (F) p62 cytoplasmic/dot like low, nuclear high, (G) HMGB1 low, (H) HMGB1 high. Objective magnification, 40×.
Figure 1 Examples of immunohistochemical stainings; (A) LC3B low, (B) LC3B high, (C) p62 low (any cellular compartment), (D) p62 cytoplasmic low, (E) p62 cytoplasmic/dot like high, nuclear low, (F) p62 cytoplasmic/dot like low, nuclear high, (G) HMGB1 low, (H) HMGB1 high. Objective magnification, 40×.CC BY · PubMed Central
Figure 2 LC3B/p62 patterns and CD8+Tumor-infiltrating Lymphocytes. LL = LC3Blowp62low; LH = LC3Blowp62high; HL = LC3Bhighp62low; HH = LC3Bhighp62high, ° indicate outliers.
Figure 2 LC3B/p62 patterns and CD8+Tumor-infiltrating Lymphocytes. LL = LC3Blowp62low; LH = LC3Blowp62high; HL = LC3Bhighp62low; HH = LC3Bhighp62high, ° indicate outliers.CC BY · PubMed Central
Figure 3 Survival curves (disease free survival) for expression of autophagy related proteins (A) LC3B; (B) p62 dot-like/cytoplasmic; (C) p62 nuclear; (D) HMGB1.
Figure 3 Survival curves (disease free survival) for expression of autophagy related proteins (A) LC3B; (B) p62 dot-like/cytoplasmic; (C) p62 nuclear; (D) HMGB1.CC BY · PubMed Central
Figure 4 Survival curves for combination LC3B/p62 categorization into four subgroups: LL = LC3Blowp62low; LH = LC3Blowp62high; HL = LC3Bhighp62low; HH = LC3Bhighp62high; (A) disease specific survival (DSS); (B) time to relapse (TTR).
Figure 4 Survival curves for combination LC3B/p62 categorization into four subgroups: LL = LC3Blowp62low; LH = LC3Blowp62high; HL = LC3Bhighp62low; HH = LC3Bhighp62high; (A) disease specific survival (DSS); (B) time to relapse (TTR).CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 47

  1. Langer, 2016, Incremental innovation and progress in advanced squamous cell lung cancer: Current status and future impact of treatment, J. Thorac. Oncol., 11, 2066, 10.1016/j.jtho.2016.08.138 · DOI
  2. Brambilla, 2012, Squamous cell carcinoma of the lung: Molecular subtypes and therapeutic opportunities, Clin. Cancer Res., 18, 2443, 10.1158/1078-0432.CCR-11-2370 · DOI
  3. Reck, 2016, Pembrolizumab versus chemotherapy for pd-l1–positive non–small-cell lung cancer, N. Engl. J. Med., 375, 1823, 10.1056/NEJMoa1606774 · DOI · Paper page
  4. Mizushima, 2010, Autophagy, FEBS Lett., 584, 1279, 10.1016/j.febslet.2010.02.053 · DOI
  5. Mizushima, 2018, A brief history of autophagy from cell biology to physiology and disease, Nat. Cell Biol., 20, 521, 10.1038/s41556-018-0092-5 · DOI · Paper page
  6. Jiang, 2014, Autophagy and human diseases, Cell Res., 24, 69, 10.1038/cr.2013.161 · DOI
  7. Levine, 2008, Autophagy in the pathogenesis of disease, Cell, 132, 27, 10.1016/j.cell.2007.12.018 · DOI · Paper page
  8. Meijer, 2009, Autophagy: Regulation and role in disease, Crit. Rev. Clin. Lab. Sci., 46, 210, 10.1080/10408360903044068 · DOI
  9. Chen, 2009, Role and regulation of autophagy in cancer, Biochim. Biophys. Acta, 1793, 1516, 10.1016/j.bbamcr.2008.12.013 · DOI
  10. Mathew, 2007, Role of autophagy in cancer, Nat. Rev. Cancer, 7, 961, 10.1038/nrc2254 · DOI · Paper page
  11. Martinet, 2013, Immunohistochemical analysis of macroautophagy: Recommendations and limitations, Autophagy, 9, 386, 10.4161/auto.22968 · DOI
  12. Jiang, 2015, Lc3- and p62-based biochemical methods for the analysis of autophagy progression in mammalian cells, Methods, 75, 13, 10.1016/j.ymeth.2014.11.021 · DOI
  13. Ladoire, 2015, Combined evaluation of lc3b puncta and hmgb1 expression predicts residual risk of relapse after adjuvant chemotherapy in breast cancer, Autophagy, 11, 1878, 10.1080/15548627.2015.1082022 · DOI
  14. Duffy, 2015, Autophagy modulation: A target for cancer treatment development, Cancer Chemother. Pharmacol., 75, 439, 10.1007/s00280-014-2637-z · DOI
  15. Sui, 2013, Autophagy and chemotherapy resistance: A promising therapeutic target for cancer treatment, Cell Death Dis., 4, e838, 10.1038/cddis.2013.350 · DOI
  16. Zhong, 2016, Autophagy, inflammation, and immunity: A troika governing cancer and its treatment, Cell, 166, 288, 10.1016/j.cell.2016.05.051 · DOI
  17. Onorati, A.V., Dyczynski, M., Ojha, R., and Amaravadi, R.K. (2018). Targeting autophagy in cancer. Cancer. · DOI
  18. Schlafli, 2016, Prognostic value of the autophagy markers lc3 and p62/sqstm1 in early-stage non-small cell lung cancer, Oncotarget, 7, 39544, 10.18632/oncotarget.9647 · DOI · Paper page
  19. Keller, 2017, Adverse prognostic value of pd-l1 expression in primary resected pulmonary squamous cell carcinomas and paired mediastinal lymph node metastases, Mod. Pathol., 31, 101, 10.1038/modpathol.2017.111 · DOI
  20. Brierley, J.D., Gospodarowicz, M.K., and Wittekind, C. (2017). The TNM Classification of Calignant Tumours, John Wiley & Sons. [8th ed.]. · DOI · Paper page
  21. Liu, 2014, Prognostic significance of p62/sqstm1 subcellular localization and lc3b in oral squamous cell carcinoma, Br. J. Cancer, 111, 944, 10.1038/bjc.2014.355 · DOI
  22. White, 2009, The double-edged sword of autophagy modulation in cancer, Clin. Cancer Res., 15, 5308, 10.1158/1078-0432.CCR-07-5023 · DOI
  23. Galluzzi, 2015, Autophagy in malignant transformation and cancer progression, EMBO J., 34, 856, 10.15252/embj.201490784 · DOI · Paper page
  24. Amaravadi, 2011, Principles and current strategies for targeting autophagy for cancer treatment, Clin. Cancer Res., 17, 654, 10.1158/1078-0432.CCR-10-2634 · DOI
  25. Chude, C.I., and Amaravadi, R.K. (2017). Targeting autophagy in cancer: Update on clinical trials and novel inhibitors. Int. J. Mol. Sci., 18. · DOI
  26. Adams, 2016, Prognostic relevance of autophagy markers lc3b and p62 in esophageal adenocarcinomas, Oncotarget, 7, 39241, 10.18632/oncotarget.9649 · DOI
  27. Niklaus, 2017, Expression analysis of lc3b and p62 indicates intact activated autophagy is associated with an unfavorable prognosis in colon cancer, Oncotarget, 8, 54604, 10.18632/oncotarget.17554 · DOI
  28. Bortnik, S., and Gorski, S.M. (2017). Clinical applications of autophagy proteins in cancer: From potential targets to biomarkers. Int. J. Mol. Sci., 18. · DOI
  29. Martinet, 2006, Detection of autophagy in tissue by standard immunohistochemistry: Possibilities and limitations, Autophagy, 2, 55, 10.4161/auto.2217 · DOI · Paper page
  30. Martinet, W., Roth, L., and De Meyer, G.R.Y. (2017). Standard immunohistochemical assays to assess autophagy in mammalian tissue. Cells, 30. · DOI
  31. Schlafli, 2015, Reliable lc3 and p62 autophagy marker detection in formalin fixed paraffin embedded human tissue by immunohistochemistry, Eur. J. Histochem., 59, 2481, 10.4081/ejh.2015.2481 · DOI
  32. He, 2017, The dual role and therapeutic potential of high-mobility group box 1 in cancer, Oncotarget, 8, 64534, 10.18632/oncotarget.17885 · DOI
  33. Wang, 2015, Beclin 1 and p62 expression in non-small cell lung cancer: Relation with malignant behaviors and clinical outcome, Int. J. Clin. Exp. Pathol., 8, 10644
  34. Daisuke, 2012, Accumulation of p62/sqstm1 is associated with poor prognosis in patients with lung adenocarcinoma, Cancer Sci., 103, 760, 10.1111/j.1349-7006.2012.02216.x · DOI
  35. Ruan, 2018, The prognostic value of p62 in solid tumor patients: A meta-analysis, Oncotarget, 9, 4258, 10.18632/oncotarget.23101 · DOI
  36. Katsuragi, 2015, P62/sqstm1 functions as a signaling hub and an autophagy adaptor, FEBS J., 282, 4672, 10.1111/febs.13540 · DOI
  37. Nezis, 2011, P62 at the interface of autophagy, oxidative stress signaling, and cancer, Antioxid. Redox Signal., 17, 786, 10.1089/ars.2011.4394 · DOI
  38. Jiang, 2015, P62 links autophagy and nrf2 signaling, Free Radic. Biol. Med., 88, 199, 10.1016/j.freeradbiomed.2015.06.014 · DOI
  39. Fan, 2018, Role of p62 in the regulation of cell death induction, Apoptosis, 23, 187, 10.1007/s10495-018-1445-z · DOI
  40. Pankiv, 2010, Nucleocytoplasmic shuttling of p62/sqstm1 and its role in recruitment of nuclear polyubiquitinated proteins to promyelocytic leukemia bodies, J. Biol. Chem., 285, 5941, 10.1074/jbc.M109.039925 · DOI
  41. Adams, O., Janser, F.A., Dislich, B., Berezowska, S., Humbert, M., Seiler, C.A., Kroell, D., Slotta-Huspenina, J., Feith, M., and Ott, K. (2018). A specific expression profile of lc3b and p62 is associated with nonresponse to neoadjuvant chemotherapy in esophageal adenocarcinomas. PLoS ONE, 13. · DOI
  42. Islam, M.A., Sooro, M.A., and Zhang, P. (2018). Autophagic regulation of p62 is critical for cancer therapy. Int. J. Mol. Sci., 19. · DOI
  43. Li, Y.Y., Feun, L.G., Thongkum, A., Tu, C.H., Chen, S.M., Wangpaichitr, M., Wu, C., Kuo, M.T., and Savaraj, N. (2017). Autophagic mechanism in anti-cancer immunity: Its pros and cons for cancer therapy. Int. J. Mol. Sci., 18. · DOI
  44. Hossain, 2012, A possible cross-talk between autophagy and apoptosis in generating an immune response in melanoma, Apoptosis, 17, 1066, 10.1007/s10495-012-0745-y · DOI
  45. Bloy, 2017, Immunogenic stress and death of cancer cells: Contribution of antigenicity vs adjuvanticity to immunosurveillance, Immunol. Rev., 280, 165, 10.1111/imr.12582 · DOI
  46. Ivan, D., and Fang, F. (2013). Tumors of the lungs and pleura. Cancer Grading Manual, Springer.
  47. Zlobec, 2013, Next-generation tissue microarray (ngTMA) increases the quality of biomarker studies: An example using CD3, CD8, and CD45RO in the tumor microenvironment of six different solid tumor types, J. Transl. Med., 11, 104, 10.1186/1479-5876-11-104 · DOI

Cited by

Sorted by citations

See all 17

Metadata

Authors
Langer, R., Neppl, C., Keller, M. D., Schmid, R. A., Tschan, M. P., & Berezowska, S.
Affiliations
  • Institute of Pathology, University of Bern, Murtenstrasse 31, 3008 Bern, Switzerland
  • Division of General Thoracic Surgery, Inselspital University Hospital Bern, 3010 Bern, Switzerland
Venue
Cancers
Publisher
MDPI AG
Published
2018-08-21
Volume
10
Issue
9
Pages
281
ISSN
2072-6694
Cited by
17
References
3
Language
en
Funders
Bernische Krebsliga (no number)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review