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Research ArticleClinical Studies

Peripheral PD1-positive CD4 T-Lymphocyte Count Can Predict Progression-free Survival in Patients With Non-small Cell Lung Cancer Receiving Immune Checkpoint Inhibitor

MINEHIKO INOMATA, TOMONOBU KADO, SEISUKE OKAZAWA, SHINGO IMANISHI, CHIHIRO TAKA, KENTA KAMBARA, TAKAHIRO HIRAI, HIROAKI TANAKA, KOTARO TOKUI, KANA HAYASHI, TOSHIRO MIWA, RYUJI HAYASHI, SHOKO MATSUI and KAZUYUKI TOBE
Anticancer Research December 2019, 39 (12) 6887-6893; DOI: https://doi.org/10.21873/anticanres.13908
MINEHIKO INOMATA
1First Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
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  • For correspondence: 9446-tym{at}umin.org
TOMONOBU KADO
1First Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
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SEISUKE OKAZAWA
1First Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
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SHINGO IMANISHI
1First Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
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CHIHIRO TAKA
1First Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
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KENTA KAMBARA
1First Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
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TAKAHIRO HIRAI
1First Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
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HIROAKI TANAKA
1First Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
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KOTARO TOKUI
1First Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
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KANA HAYASHI
1First Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
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TOSHIRO MIWA
1First Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
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RYUJI HAYASHI
2Department of Medical Oncology, Toyama University Hospital, Toyama, Japan
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SHOKO MATSUI
1First Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
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KAZUYUKI TOBE
1First Department of Internal Medicine, Toyama University Hospital, Toyama, Japan
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Abstract

Background/Aim: Little information is available about the association between peripheral T-lymphocyte expression of programmed cell death protein 1 (PD1) and the efficacy of immune checkpoint inhibitor therapy in patients with non-small cell lung cancer (NSCLC). We analyzed the PD1 and cytotoxic T-lymphocyte associated protein 4 (CTLA4) expression in peripheral blood T-lymphocytes of patients with NSCLC receiving immune checkpoint inhibitor therapy. Patients and Methods: Patients with NSCLC who were scheduled to receive treatment with immune checkpoint inhibitors were prospectively enrolled in this study between November 2017 and November 2018. Peripheral blood samples were obtained within 1 week before or after the initiation of treatment with an immune checkpoint inhibitor. Results: Flow cytometry was conducted in 19 patients. Patients were treated with nivolumab, pembrolizumab, or atezolizumab. The group with a high percentage of PD1+CD4+ T-lymphocytes relative to the total CD4+ T-lymphocyte count had a longer progression-free survival [median=6.0 (95% confidence intervaI=0.5-not estimated) months] than the group with a low percentage of PD1+CD4+ T-lymphocytes [median=1.1 (95% confidence intervaI=0.4-5.0) months; p=0.034, log-rank test]. However, no significant associations were detected with the percentages of CTLA4+CD4+, PD1+CD8+ or CTLA4+CD8+ T-lymphocytes in the peripheral blood. Conclusion: A high percentage of peripheral CD4+PD1+ T-lymphocytes was associated with a longer progression-free survival in patients receiving treatment with an immune checkpoint inhibitor. The systemic immune system may have an influence on the efficacy of immune checkpoint inhibitor therapy in patients with NSCLC.

  • CD4-positive T-lymphocyte
  • immune check point inhibitor
  • non-small cell lung cancer
  • programmed death 1

Systemic therapy is the standard therapeutic option of care for patients with metastatic non-small cell lung cancer (NSCLC). Recently, immune checkpoint inhibitors, including programmed cell death protein 1 (PD1) inhibitor and programmed death ligand 1 (PD-L1) inhibitor, were demonstrated to confer survival benefit as compared to standard chemotherapy in patients with NSCLC (1-4).

A previous clinical trial suggested that tumor expression of PD-L1, a ligand of PD1, is a predictive marker of the efficacy of immune check point inhibitor therapy in patients with non-squamous cell NSCLC. However, no such association has been observed in patients with squamous cell NSCLC, and even in patients with non-squamous cell NSCLC, the association is not straightforward (2).

Several authors have investigated tumor-infiltrating immune cells and reported that elevated percentages of PD1+CD8+ T-lymphocytes were associated with worse clinical outcomes in patients in the absence of immune checkpoint inhibitor therapy (5-8). In a clinical trial of atezolizumab, a PD-L1 inhibitor, conducted in patients with NSCLC, treatment with atezolizumab yielded a longer overall survival than that with docetaxel in the patient subset in which the tumor-infiltrating immune cells stained positively for PD-L1 (3). Daud et al. reported that in patients with melanoma treated with immune checkpoint inhibitors, expression of PD1 and cytotoxic T-lymphocyte associated protein 4 (CTLA4) in the tumor-infiltrating lymphocytes was associated with longer patient survival (9). Furthermore, there is increasing interest in the roles of peripheral blood T-lymphocytes, and an association has been reported between the percentage of certain lymphocyte populations, such as PD1+CD4+ T-lymphocytes and clinical outcomes in patients with malignancy (10-14). However, it remains unclear how immunonophenotypes of T-lymphocytes might affect the clinical course in patients with NSCLC receiving immune checkpoint inhibitor therapy.

We hypothesized that the systemic immune environment may affect the treatment efficacy of immune checkpoint inhibitors and investigated the association between the expression of immunosuppressive molecules, PD1 and CTLA4, on peripheral blood T-lymphocytes and progression-free survival (PFS) in patients with NSCLC receiving treatment.

Patients and Methods

Patients. Patients with NSCLC were prospectively enrolled between November 2017 and November 2018. The inclusion criteria were as follows: i) Patients with cytologically or histologically confirmed NSCLC; and ii) patients scheduled to receive treatment with immune checkpoint inhibitors. Patients who were unwilling to provide informed consent for participation in the study were excluded.

The present study was conducted with the approval of the Ethics Committee, University of Toyama (approval number: 29-48), after obtaining written informed consent from each of the participants, in accordance with Ethical Guidelines for Medical and Health Research Involving Human Subjects (Ministry of Health, Labour and Welfare, Japan).

Treatment and clinical examination. Patients were treated with a PD1 or PD-L1 inhibitor, including nivolumab, pembrolizumab, or atezolizumab. These treatment and clinical examinations were all undertaken based on clinical judgment. The tumor PD-L1 expression was evaluated by immunohistochemistry using 22C3 antibody.

Disease progression was determined based on the physician's clinical judgment and RECIST version 1.1 (15). However, transient tumor enlargement was not considered disease progression. The response rate was calculated as the proportion of patients showing complete response or partial response in accordance with RECIST version 1.1.; no response confirmation was required for this analysis performed in this study.

Flow cytometry and cytokine testing. Peripheral blood samples from the patients were obtained within 1 week before or after the initiation of treatment with an immune checkpoint inhibitor. The antibodies used for this study were: anti-CD3-fluorescein isothiocyanate (clone HIT3a), anti-CD4-allophycocyanin/Cy7 (clone A161A1), anti-CD8-APC (clone Sk1), anti-PD1 (CD279)-phycoerythrin/Cy7 (clone EH12. 2H7), and anti-CD152 (CTLA4)-PE (clone 13D3), all purchased from BioLegend (San Diego, CA, USA). The stained cells were analyzed by flow cytometry on BD FACSAria SORP (BD Biosciences, New York, NY, USA).

We conducted an exploratory investigation of the association between the treatment efficacy and the peripheral plasma levels of cytokines, including those of vascular endothelial growth factor (VEGF) and tumor necrosis factor-alpha (TNFα). The cytokine testing was commissioned to SRL, Inc (Tokyo, Japan).

Statistical analysis. JMP version 11. 2. 0 (SAS Institute, Cary, NC, USA). was used for the statistical analysis. The primary endpoint was the PFS after the initiation of immune checkpoint inhibitor therapy. PFS was calculated from the date of initiation of treatment to the date of documentation of disease progression or death, and censored at the last visit until which no disease progression was observed. Patients were divided into two groups according to the median value of each parameter, and the PFS was compared between the two groups by the log-rank test. The response rate was compared by Fisher's exact test.

Results

Patient characteristics. Table I shows the patient characteristics. A total of 22 patients were included in the study, and 5, 11, and 6 patients were treated with nivolumab, pembrolizumab, and atezolizumab, respectively. Peripheral blood samples were obtained from all 22 patients. In 17 patients, they were obtained after the initiation of treatment with immune checkpoint inhibitor. Flow-cytometric analysis was conducted in 19 patients, and cytokine testing was conducted in 18 patients.

Survival and tumor response. Figure 1 shows the Kaplan–Meier curves for the 22 patients. The median PFS was 3.5 months (95% CI=1.1-6.8 months). Disease progression or death occurred in 16 patients, and the disease progression was reconfirmed by repeat computed tomography in 14 patients. In patients with non-squamous cell NSCLC, patients with tumor PD-L1 expression of at least 50% had a longer PFS (PD-L1 50% vs. <50%: median= 4.3 months vs. 3.1 months, p=0.118), but it did not reach statistical significance.

Figure 2 shows the association between the expression of immunosuppressive molecules on peripheral blood T-lymphocytes and PFS. Patients were divided into high or low groups by the median percentage of PD1+ or CTLA4+ cells relative to the total CD4+ or CD8+ cell count. The group with a high percentage of PD1+CD4+ T-lymphocytes had a longer PFS [≥42%: median=6.0 (95% CI=0.5-not estimated) months] than the group with a low percentage of such cells [<42%: median=1.1 (95% CI=0.4-5.0) months, p=0.034]. However, no significant associations of the PFS with the percentage of CTLA4+CD4+, PD1+CD8+ or CTLA4+CD8+ T-lymphocytes were detected. There was also no statistically significant association of the PFS with the plasma levels of VEGF (<80 vs. ≥80 pg/ml: median=1.4 vs. 5.0 months, p=0.490) nor TNFα (<2.0 vs. ≥2.0 pg/ml: median=5.0 vs. 3.1 months, p=0.581).

The tumor response rate was evaluated in 19 patients. The group with a high percentage of PD1+CD4+ T-lymphocytes (5/10 patients, 50%) showed a higher response rate than that with a low percentage of PD1+CD4+ T-lymphocytes (1/9 patients, 11.1%), although the difference was not statistically significant (p=0.141).

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Table I.

Patient characteristics (n=22).

Association between PD1 expression and other parameters. Table II shows the association between the percentage of PD1+CD4+ T-lymphocytes and other parameters. No significant association was observed between the percentage of the PD1+CD4+ T-lymphocytes and any of the clinical parameters examined. There was no significant relationship between the plasma cytokine levels and the counts of PD1+CD4+ T-lymphocytes, although the group with a high percentage of PD1+CD4+ T-lymphocytes had relatively higher median plasma levels of TNFα (p=0.056, Wilcoxon's rank-sum test).

Discussion

The present study showed a statistically significant association of high percentage of CD4+PD1+ T-lymphocytes in the peripheral blood with a longer PFS in patients with NSCLC receiving immune checkpoint inhibitor therapy, while no such association of PFS was observed with the percentage of CTLA4+CD4+, PD1+CD8+ or CTLA4+CD8+ T-lymphocytes, nor with the plasma levels of cytokines, including those of TNFα and VEGF.

Possible associations between peripheral blood T-lymphocyte counts and the efficacy of treatment with immune checkpoint inhibitors have been investigated by several authors. Some of the studies showed an increase in the percentages of PD1+Ki67+ CD8+ T-lymphocytes following treatment with immune checkpoint inhibitors and reported that the treatment efficacy was associated with the percentage of PD1+Ki67+ CD8+ T-lymphocytes or the PD1+Ki67+ CD8+ T-lymphocyte/tumor burden ratio (13, 14).

Figure 1.
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Figure 1.

Kaplan–Meier curve for progression-free survival (PFS) in 22 patients with non-small cell lung cancer receiving immune checkpoint inhibitor therapy.

Although no increase in the percentage of Ki-67+CD4+ T-lymphocytes was evident either before or after the initiation of treatment (13), the percentage of PD1+CD4+ T-lymphocytes has been reported to be associated with survival in patients with NSCLC receiving vaccine therapy (11) and patients with prostate cancer receiving immune therapy, including CTLA4 antibody ipilimumab (12).

Expression of PD1 is one of the mechanisms of T-lymphocyte exhaustion. This is supported by the observed reduction in cytokine production by tumor-infiltrating immune cells with expression of PD1 or CTLA4 (9, 16). However, peripheral PD1+ T-lymphocytes might not entirely represent an exhausted phenotype. T-Follicular helper cells, peripheral helper T-cells, and effector memory T-lymphocytes are also known to express PD1. T-Follicular helper cells are considered to be CD4+ T-cells that express C-X-C motif chemokine receptor 5 (CXCR5) and PD1, which facilitate the differentiation of B-cells into antibody-secreting cells and are associated with immunodeficiency, autoimmune diseases, and T-cell malignancies (17). Peripheral helper T-cells were reported to represent an expanded population of PD1hiCXCR5−CD4+ T-cells in the synovium of patients with rheumatoid arthritis. These cells have the ability to help B-cells and are not exhausted (18). Effector memory T-cells have the ability to produce cytokines in response to re-stimulation by an antigen (19). In healthy adult humans, PD1 has been shown to be dominantly expressed in peripheral blood C-C motif chemokine receptor 7 (CCR7)−CD45RA− effector memory T-cells, suggesting that PD1 is not a marker of exhausted cells (20). Waki et al. reported that the majority of PD1+CD4+ and CD8+ T-lymphocytes in the peripheral blood represented the CCR7−CD45RA− effector memory phenotype in patients with NSCLC (11). Furthermore, Broderick et al. showed that the antitumor effect of interleukin-12 was dependent on CD4+ cells, and the cell population displayed a phenotype consistent with that of effector memory T-cells (21). Based on these previous reports, the peripheral blood PD1+CD4+ T-lymphocytes in this study may not represent exhausted cells.

Figure 2.
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Figure 2.

Kaplan–Meier curve for progression-free survival (PFS) in each group of patients divided according to the median programmed cell death protein 1 (PD1)+ or cytotoxic T-lymphocyte associated protein 4 (CTLA4)+ cell count relative to the total CD4+ or CD8+ cell count. p-Values were derived from log-rank tests.

We did not find any significant association between the PD1+CD4 T-lymphocytes and any of the clinical parameters, including the serum levels of lactate dehydrogenase and C-reactive protein, nor the neutrophil/lymphocyte ratio, which have been reported to be associated with the survival in patients treated with immune checkpoint inhibitors (22-25). Therefore, it would seem that the clinical background characteristics did not differ significantly between the patient groups and that the mechanisms underlying the association between the percentage of PD1+CD4+ T-lymphocytes and the efficacy of immune checkpoint inhibitor therapy are independent of these clinical parameters.

There were some limitations in our study. Firstly, because of the small sample size, the effects of confounding factors cannot be entirely excluded. Secondly, because we conducted multiple statistical testing (log-rank test) by dividing the patients based on several parameters, multiplicity issues might have arisen. Thirdly, as it was permitted to obtain blood samples within 1 week of initiation of the immune checkpoint inhibitor therapy, the possibility that the elevated percentage of PD1+CD4+ T-lymphocytes was caused by the immune checkpoint inhibitor and was not a baseline characteristic cannot be excluded. However, the percentage of Ki-67+CD4+ T-lymphocytes has not been shown to increase after the start of immune checkpoint inhibitor therapy (13).

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Table II.

Association between frequency of programmed cell death protein 1 (PD1)+CD4+ T-lymphocytes and other parameters.

Conclusion

In conclusion, the present study showed that the percentage of CD4+PD1+ T-lymphocytes in the peripheral blood was positively associated with PFS after the initiation of immune checkpoint inhibitor therapy, suggesting that the systemic immune system may have an influence on the clinical course in patients with NSCLC receiving immune checkpoint inhibitor therapy. Further investigations are needed to validate the results of this study.

Acknowledgements

This work was supported by Novartis Pharma K.K., Nippon Boehringer Ingelheim Co., and Tamura Science and Technology Foundation.

Footnotes

  • Authors' Contributions

    Minehiko Inomata contributed to the conception and design of the work, analysis, interpretation of data, and drafted the work. Tomonobu Kado contributed to the flow cytometric analysis and revision of the article. Seisuke Okazawa, Shingo Imanishi, Chihiro Taka, Kenta Kambara, Takahiro Hirai, Hiroaki Tanaka, Kotaro Tokui, Kana Hayashi, Toshiro Miwa, Ryuji Hayashi, Shoko Matsui contributed to enrollment of patients (data acquisition). Kazuyuki Tobe contributed to the interpretation of the data and revision of the article.

  • Conflicts of Interest

    The Authors declare that they have no competing interests.

  • Received November 3, 2019.
  • Revision received November 8, 2019.
  • Accepted November 11, 2019.
  • Copyright© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved

References

  1. ↵
    1. Brahmer J,
    2. Reckamp KL,
    3. Baas P,
    4. Crinò L,
    5. Eberhardt WE,
    6. Poddubskaya E,
    7. Antonia S,
    8. Pluzanski A,
    9. Vokes EE,
    10. Holgado E,
    11. Waterhouse D,
    12. Ready N,
    13. Gainor J,
    14. Arén Frontera O,
    15. Havel L,
    16. Steins M,
    17. Garassino MC,
    18. Aerts JG,
    19. Domine M,
    20. Paz-Ares L,
    21. Reck M,
    22. Baudelet C,
    23. Harbison CT,
    24. Lestini B,
    25. Spigel DR
    : Nivolumab versus docetaxel in advanced squamous-cell non-small-cell lung cancer. N Engl J Med 373(2): 123-135, 2015. PMID: 26028407. DOI: 10.1056/NEJMoa1504627
    OpenUrlCrossRefPubMed
  2. ↵
    1. Borghaei H,
    2. Paz-Ares L,
    3. Horn L,
    4. Spigel DR,
    5. Steins M,
    6. Ready NE,
    7. Chow LQ,
    8. Vokes EE,
    9. Felip E,
    10. Holgado E,
    11. Barlesi F,
    12. Kohlhäufl M,
    13. Arrieta O,
    14. Burgio MA,
    15. Fayette J,
    16. Lena H,
    17. Poddubskaya E,
    18. Gerber DE,
    19. Gettinger SN,
    20. Rudin CM,
    21. Rizvi N,
    22. Crinò L,
    23. Blumenschein GR Jr..,
    24. Antonia SJ,
    25. Dorange C,
    26. Harbison CT,
    27. Graf Finckenstein F,
    28. Brahmer JR
    : Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer. N Engl J Med 373(17): 1627-1639, 2015. PMID: 26412456. DOI: 10.1056/NEJMoa1507643.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Rittmeyer A,
    2. Barlesi F,
    3. Waterkamp D,
    4. Park K,
    5. Ciardiello F,
    6. von Pawel J,
    7. Gadgeel SM,
    8. Hida T,
    9. Kowalski DM,
    10. Dols MC,
    11. Cortinovis DL,
    12. Leach J,
    13. Polikoff J,
    14. Barrios C,
    15. Kabbinavar F,
    16. Frontera OA,
    17. De Marinis F,
    18. Turna H,
    19. Lee JS,
    20. Ballinger M,
    21. Kowanetz M,
    22. He P,
    23. Chen DS,
    24. Sandler A,
    25. Gandara DR,
    26. OAK Study Group
    : Atezolizumab versus docetaxel in patients with previously treated non-small-cell lung cancer (OAK): A phase 3, open-label, multicentre randomised controlled trial. Lancet 389(10066): 255-265, 2017. PMID: 27979383. DOI: 10.1016/S0140-6736(16)32517-X
    OpenUrlCrossRefPubMed
  4. ↵
    1. Gandhi L,
    2. Rodríguez-Abreu D,
    3. Gadgeel S,
    4. Esteban E,
    5. Felip E,
    6. De Angelis F,
    7. Domine M,
    8. Clingan P,
    9. Hochmair MJ,
    10. Powell SF,
    11. Cheng SY,
    12. Bischoff HG,
    13. Peled N,
    14. Grossi F,
    15. Jennens RR,
    16. Reck M,
    17. Hui R,
    18. Garon EB,
    19. Boyer M,
    20. Rubio-Viqueira B,
    21. Novello S,
    22. Kurata T,
    23. Gray JE,
    24. Vida J,
    25. Wei Z,
    26. Yang J,
    27. Raftopoulos H,
    28. Pietanza MC,
    29. Garassino MC,
    30. KEYNOTE-189 Investigators
    : Pembrolizumab plus chemotherapy in metastatic non-small-cell lung cancer. N Engl J Med 378(22): 2078-2092, 2018. PMID: 29658856. DOI: 10.1056/NEJMoa1801005
    OpenUrlCrossRefPubMed
  5. ↵
    1. Thompson RH,
    2. Dong H,
    3. Lohse CM,
    4. Leibovich BC,
    5. Blute ML,
    6. Cheville JC,
    7. Kwon ED
    : PD-1 is expressed by tumor-infiltrating immune cells and is associated with poor outcome for patients with renal cell carcinoma. Clin Cancer Res 13(6): 1757-1761, 2017. PMID: 17363529.
    OpenUrl
    1. Sun S,
    2. Fei X,
    3. Mao Y,
    4. Wang X,
    5. Garfield DH,
    6. Huang O,
    7. Wang J,
    8. Yuan F,
    9. Sun L,
    10. Yu Q,
    11. Jin X,
    12. Wang J,
    13. Shen K
    : PD-1(+) immune cell infiltration inversely correlates with survival of operable breast cancer patients. Cancer Immunol Immunother 63(4): 395-406, 2014. PMID: 24514954.
    OpenUrlCrossRefPubMed
    1. Muenst S,
    2. Soysal SD,
    3. Gao F,
    4. Obermann EC,
    5. Oertli D,
    6. Gillanders WE
    : The presence of programmed death 1 (PD-1)-positive tumor-infiltrating lymphocytes is associated with poor prognosis in human breast cancer. Breast Cancer Res Treat 139(3): 667-676, 2013. PMID: 23756627. DOI: 10.1007/s10549-013-2581-3
    OpenUrlCrossRefPubMed
  6. ↵
    1. Hsu MC,
    2. Hsiao JR,
    3. Chang KC,
    4. Wu YH,
    5. Su IJ,
    6. Jin YT,
    7. Chang Y
    : Increase of programmed death-1-expressing intratumoral CD8 T-cells predicts a poor prognosis for nasopharyngeal carcinoma. Mod Pathol 23(10): 1393-1403, 2010. PMID: 20657553. DOI: 10.1038/modpathol.2010.130
    OpenUrlCrossRefPubMed
  7. ↵
    1. Daud AI,
    2. Loo K,
    3. Pauli ML,
    4. Sanchez-Rodriguez R,
    5. Sandoval PM,
    6. Taravati K,
    7. Tsai K,
    8. Nosrati A,
    9. Nardo L,
    10. Alvarado MD,
    11. Algazi AP,
    12. Pampaloni MH,
    13. Lobach IV,
    14. Hwang J,
    15. Pierce RH,
    16. Gratz IK,
    17. Krummel MF,
    18. Rosenblum MD
    : Tumor immune profiling predicts response to anti-PD-1 therapy in human melanoma. J Clin Invest 126(9): 3447-3452, 2016. PMID: 27525433. DOI: 10.1172/JCI87324
    OpenUrlCrossRefPubMed
  8. ↵
    1. Dronca RS,
    2. Liu X,
    3. Harrington SM,
    4. Chen L,
    5. Cao S,
    6. Kottschade LA,
    7. McWilliams RR,
    8. Block MS,
    9. Nevala WK,
    10. Thompson MA,
    11. Mansfield AS,
    12. Park SS,
    13. Markovic SN,
    14. Dong H
    : T-Cell BIM levels reflect responses to anti-PD-1 cancer therapy. JCI Insight 1(6): pii: e86014, 2016. PMID: 27182556.
  9. ↵
    1. Waki K,
    2. Yamada T,
    3. Yoshiyama K,
    4. Terazaki Y,
    5. Sakamoto S,
    6. Matsueda S,
    7. Komatsu N,
    8. Sugawara S,
    9. Takamori S,
    10. Itoh K,
    11. Yamada A
    : PD-1 expression on peripheral blood T-cell subsets correlates with prognosis in non-small cell lung cancer. Cancer Sci 105(10): 1229-1235, 2014. PMID: 25117757. DOI: 10.1111/cas.12502
    OpenUrlCrossRefPubMed
  10. ↵
    1. Santegoets SJ,
    2. Stam AG,
    3. Lougheed SM,
    4. Gall H,
    5. Scholten PE,
    6. Reijm M,
    7. Jooss K,
    8. Sacks N,
    9. Hege K,
    10. Lowy I,
    11. Cuillerot JM,
    12. von Blomberg BM,
    13. Scheper RJ,
    14. van den Eertwegh AJ,
    15. Gerritsen WR,
    16. de Gruijl TD
    : T-Cell profiling reveals high CD4+CTLA-4+ T-cell frequency as dominant predictor for survival after prostate GVAX/ipilimumab treatment. Cancer Immunol Immunother 62(2): 245-256, 2013. PMID: 22878899. DOI: 10.1007/s00262-012-1330-5
    OpenUrlCrossRefPubMed
  11. ↵
    1. Kamphorst AO,
    2. Pillai RN,
    3. Yang S,
    4. Nasti TH,
    5. Akondy RS,
    6. Wieland A,
    7. Sica GL,
    8. Yu K,
    9. Koenig L,
    10. Patel NT,
    11. Behera M,
    12. Wu H,
    13. McCausland M,
    14. Chen Z,
    15. Zhang C,
    16. Khuri FR,
    17. Owonikoko TK,
    18. Ahmed R,
    19. Ramalingam SS
    : Proliferation of PD-1+ CD8 T-cells in peripheral blood after PD-1-targeted therapy in lung cancer patients. Proc Natl Acad Sci USA 114(19): 4993-4998, 2017. PMID: 28446615. DOI: 10.1073/pnas.1705327114
    OpenUrlAbstract/FREE Full Text
  12. ↵
    1. Huang AC,
    2. Postow MA,
    3. Orlowski RJ,
    4. Mick R,
    5. Bengsch B,
    6. Manne S,
    7. Xu W,
    8. Harmon S,
    9. Giles JR,
    10. Wenz B,
    11. Adamow M,
    12. Kuk D,
    13. Panageas KS,
    14. Carrera C,
    15. Wong P,
    16. Quagliarello F,
    17. Wubbenhorst B,
    18. D'Andrea K,
    19. Pauken KE,
    20. Herati RS,
    21. Staupe RP,
    22. Schenkel JM,
    23. McGettigan S,
    24. Kothari S,
    25. George SM,
    26. Vonderheide RH,
    27. Amaravadi RK,
    28. Karakousis GC,
    29. Schuchter LM,
    30. Xu X,
    31. Nathanson KL,
    32. Wolchok JD,
    33. Gangadhar TC,
    34. Wherry EJ
    : T-cell invigoration to tumour burden ratio associated with anti-PD-1 response. Nature 545(7652): 60-65, 2017. PMID: 28397821. DOI: 10.1038/nature22079
    OpenUrlCrossRefPubMed
  13. ↵
    1. Eisenhauer EA,
    2. Therasse P,
    3. Bogaerts J,
    4. Schwartz LH,
    5. Sargent D,
    6. Ford R,
    7. Dancey J,
    8. Arbuck S,
    9. Gwyther S,
    10. Mooney M,
    11. Rubinstein L,
    12. Shankar L,
    13. Dodd L,
    14. Kaplan R,
    15. Lacombe D,
    16. Verweij J
    : New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 45(2): 228-247, 2009. PMID: 19097774. DOI: 10.1016/j.ejca.2008.10.026
    OpenUrlCrossRefPubMed
  14. ↵
    1. Zhang Y,
    2. Huang S,
    3. Gong D,
    4. Qin Y,
    5. Shen Q
    : Programmed death-1 upregulation is correlated with dysfunction of tumor-infiltrating CD8+ T-lymphocytes in human non-small cell lung cancer. Cell Mol Immunol 7(5): 389-395, 2010. PMID: 20514052. DOI: 10.1038/cmi.2010.28
    OpenUrlCrossRefPubMed
  15. ↵
    1. Tangye SG,
    2. Ma CS,
    3. Brink R,
    4. Deenick EK
    : The good, the bad and the ugly – TFH cells in human health and disease. Nat Rev Immunol 13(6): 412-426, 2013. PMID: 23681096. DOI: 10.1038/nri3447
    OpenUrlCrossRefPubMed
  16. ↵
    1. Rao DA,
    2. Gurish MF,
    3. Marshall JL,
    4. Slowikowski K,
    5. Fonseka CY,
    6. Liu Y,
    7. Donlin LT,
    8. Henderson LA,
    9. Wei K,
    10. Mizoguchi F,
    11. Teslovich NC,
    12. Weinblatt ME,
    13. Massarotti EM,
    14. Coblyn JS,
    15. Helfgott SM,
    16. Lee YC,
    17. Todd DJ,
    18. Bykerk VP,
    19. Goodman SM,
    20. Pernis AB,
    21. Ivashkiv LB,
    22. Karlson EW,
    23. Nigrovic PA,
    24. Filer A,
    25. Buckley CD,
    26. Lederer JA,
    27. Raychaudhuri S,
    28. Brenner MB
    : Pathologically expanded peripheral T-helper cell subset drives B cells in rheumatoid arthritis. Nature 542(7639): 110-114, 2017. PMID: 28150777. DOI: 10.1038/nature20810
    OpenUrlCrossRefPubMed
  17. ↵
    1. Lanzavecchia A,
    2. Sallusto F
    : Understanding the generation and function of memory T-cell subsets. Curr Opin Immunol 17(3): 326-332, 2005. PMID: 15886125.
    OpenUrlCrossRefPubMed
  18. ↵
    1. Duraiswamy J,
    2. Ibegbu CC,
    3. Masopust D,
    4. Miller JD,
    5. Araki K,
    6. Doho GH,
    7. Tata P,
    8. Gupta S,
    9. Zilliox MJ,
    10. Nakaya HI,
    11. Pulendran B,
    12. Haining WN,
    13. Freeman GJ,
    14. Ahmed R
    : Phenotype, function, and gene expression profiles of programmed death-1(hi) CD8 T-cells in healthy human adults. J Immunol 186(7): 4200-4212, 2011. PMID: 21383243. DOI: 10.4049/jimmunol.1001783
    OpenUrlAbstract/FREE Full Text
  19. ↵
    1. Broderick L,
    2. Yokota SJ,
    3. Reineke J,
    4. Mathiowitz E,
    5. Stewart CC,
    6. Barcos M,
    7. Kelleher RJ Jr..,
    8. Bankert RB
    : Human CD4+ effector memory T-cells persisting in the microenvironment of lung cancer xenografts are activated by local delivery of IL-12 to proliferate, produce IFN-gamma, and eradicate tumor cells. J Immunol 174: 898-906, 2005. PMID: 15634912.
    OpenUrlAbstract/FREE Full Text
  20. ↵
    1. Taniguchi Y,
    2. Tamiya A,
    3. Isa SI,
    4. Nakahama K,
    5. Okishio K,
    6. Shiroyama T,
    7. Suzuki H,
    8. Inoue T,
    9. Tamiya M,
    10. Hirashima T,
    11. Imamura F,
    12. Atagi S
    : Predictive factors for poor progression-free survival in patients with non-small cell lung cancer treated with nivolumab. Anticancer Res 37: 5857-5862, 2017. PMID: 28982912.
    OpenUrlAbstract/FREE Full Text
    1. Oya Y,
    2. Yoshida T,
    3. Kuroda H,
    4. Mikubo M,
    5. Kondo C,
    6. Shimizu J,
    7. Horio Y,
    8. Sakao Y,
    9. Hida T,
    10. Yatabe Y
    : Predictive clinical parameters for the response of nivolumab in pretreated advanced non-small-cell lung cancer. Oncotarget 8: 103117-103128, 2017. PMID: 29262550. DOI: 10.18632/oncotarget.21602
    OpenUrlCrossRefPubMed
    1. Mezquita L,
    2. Auclin E,
    3. Ferrara R,
    4. Charrier M,
    5. Remon J,
    6. Planchard D,
    7. Ponce S,
    8. Ares LP,
    9. Leroy L,
    10. Audigier-Valette C,
    11. Felip E,
    12. Zerón-Medina J,
    13. Garrido P,
    14. Brosseau S,
    15. Zalcman G,
    16. Mazieres J,
    17. Caramela C,
    18. Lahmar J,
    19. Adam J,
    20. Chaput N,
    21. Soria JC,
    22. Besse B
    : Association of the lung immune prognostic index with immune checkpoint inhibitor outcomes in patients with advanced non-small cell lung cancer. JAMA Oncol 4: 351-357, 2018. PMID: 29327044. DOI: 10.1001/jamaoncol.2017.4771
    OpenUrlPubMed
  21. ↵
    1. Bagley SJ,
    2. Kothari S,
    3. Aggarwal C,
    4. Bauml JM,
    5. Alley EW,
    6. Evans TL,
    7. Kosteva JA,
    8. Ciunci CA,
    9. Gabriel PE,
    10. Thompson JC,
    11. Stonehouse-Lee S,
    12. Sherry VE,
    13. Gilbert E,
    14. Eaby-Sandy B,
    15. Mutale F,
    16. DiLullo G,
    17. Cohen RB,
    18. Vachani A,
    19. Langer CJ
    : Pretreatment neutrophil-to-lymphocyte ratio as a marker of outcomes in nivolumab-treated patients with advanced non-small-cell lung cancer. Lung Cancer 106: 1-7, 2017. PMID: 28285682. DOI: 10.1016/j.lungcan.2017.01.013
    OpenUrlCrossRefPubMed
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Anticancer Research
Vol. 39, Issue 12
December 2019
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Peripheral PD1-positive CD4 T-Lymphocyte Count Can Predict Progression-free Survival in Patients With Non-small Cell Lung Cancer Receiving Immune Checkpoint Inhibitor
MINEHIKO INOMATA, TOMONOBU KADO, SEISUKE OKAZAWA, SHINGO IMANISHI, CHIHIRO TAKA, KENTA KAMBARA, TAKAHIRO HIRAI, HIROAKI TANAKA, KOTARO TOKUI, KANA HAYASHI, TOSHIRO MIWA, RYUJI HAYASHI, SHOKO MATSUI, KAZUYUKI TOBE
Anticancer Research Dec 2019, 39 (12) 6887-6893; DOI: 10.21873/anticanres.13908

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Peripheral PD1-positive CD4 T-Lymphocyte Count Can Predict Progression-free Survival in Patients With Non-small Cell Lung Cancer Receiving Immune Checkpoint Inhibitor
MINEHIKO INOMATA, TOMONOBU KADO, SEISUKE OKAZAWA, SHINGO IMANISHI, CHIHIRO TAKA, KENTA KAMBARA, TAKAHIRO HIRAI, HIROAKI TANAKA, KOTARO TOKUI, KANA HAYASHI, TOSHIRO MIWA, RYUJI HAYASHI, SHOKO MATSUI, KAZUYUKI TOBE
Anticancer Research Dec 2019, 39 (12) 6887-6893; DOI: 10.21873/anticanres.13908
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Keywords

  • CD4-positive T-lymphocyte
  • immune check point inhibitor
  • non-small cell lung cancer
  • programmed death 1
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