Skip to main content

ORIGINAL RESEARCH article

Front. Oncol., 15 June 2021
Sec. Gastrointestinal Cancers

The Prognostic Value of Pre-treatment Hemoglobin (Hb) in Patients With Advanced or Metastatic Gastric Cancer Treated With Immunotherapy

Miaomiao Gou&#x;Miaomiao Gou1†Yong Zhang&#x;Yong Zhang2†Tiee LiuTiee Liu1Tongtong QuTongtong Qu1Haiyan SiHaiyan Si1Zhikuan WangZhikuan Wang1Huan YanHuan Yan1Niansong Qian,*Niansong Qian1,3*Guanghai Dai*Guanghai Dai1*
  • 1Medical Oncology Department, The First Medical Center, Chinese People’s Liberation Army General Hospital, Beijing, China
  • 2Medical Oncology Department, The Second Medical Center, Chinese People’s Liberation Army General Hospital, Beijing, China
  • 3The Hainan Medical Center, Chinese People’s Liberation Army General Hospital, Sanya, China

Background: Biomarkers such as prevailing PD-L1 expression and TMB have been proposed as a way of predicting the outcome of immunotherapy in patients with advanced gastric cancer (AGC) and metastatic gastric cancer (MGC). Our study aims to investigate whether there is a link between pretreatment hemoglobin (Hb) levels and survival to immunotherapy in patients with AGC and MGC.

Methods: We retrospectively reviewed patients with AGC or MGC treated at the oncology department of the Chinese PLA general hospital receiving PD-1 inhibitor. The Propensity Score Matching (PSM) (1:1) was performed to balance potential baseline confounding factors. Progression-free survival (PFS) and overall survival (OS) was analyzed among different Hb level (normal Hb group and decreased Hb group). Objective response rate (ORR), disease control rate (DCR) were also analyzed. Univariate analysis and multivariate analysis were performed further to validate the prognostic value of Hb level.

Results: We included 137 patients with AGC and MGC who received PD-1 inhibitors (including Pembrolizumab, Nivolumab, Sintilimab, Toripalimab) in this study. After PSM matching, there were no significant differences between the two groups for baseline characteristics. Within the matched cohort, the median PFS was 7.8 months in the normal Hb level group and 4.3 months in the decreased Hb group (HR 95% CI 0.5(0.31, 0.81), P=0.004). The OS was 14.4 months with normal Hb level as compared with 8.2 months with decreased Hb level(HR 95% CI 0.59(0.37, 0.94), P=0.024). The ORR was 40.7% and DCR was 83.0% in the normal Hb group, while the ORR was 25.5% and DCR was 85.1% in the decreased Hb group. No significant differences were found in the ORR and DCR between the two groups (P=0.127, P=0.779). Univariate analysis and multivariate analysis showed that Hb level was only independent predictor for PFS and baseline Hb level was significant prognostic factor influencing the OS. Only when patients had normal Hb level, anti-pd-1 monotherapy or combined with chemotherapy was superior to anti-pd-1 plus anti-angiogenic therapy with respect to PFS (10.3 m vs 2.8 m, HR 95% CI 0.37(0.15, 0.95), P=0.031) and OS(15 m vs 5.7 m, HR 95% CI 0.21 (0.08, 0.58), P=0.001).

Conclusions: Our study have demonstrated that pretreatment Hb level was an independent prognostic biomarker in term of PFS and OS with immunotherapy for AGC and MGC patients. Correction of anemia for GC patients as immunotherapy would be a strategy to improve the survival. More data was warranted to further influence this finding.

Introduction

Gastric cancer (GC) is the second most frequently diagnosed cancer and leading cause of cancer death in China, accounting for approximately 679.1 per 100,000 new cases (1). The majority of patients are diagnosed with locally advanced or metastatic disease, associated with poor median survivals (2). Up to now, the first-line treatment for advanced gastric cancer (AGC) or metastatic gastric cancer (MGC) with HER2-negative in Asia is either doublet regimen of S-1 or Capecitabine plus Cisplatin or Oxaliplatin (3). In the West, the first-line treatment is a three-drug combination regime such as docetaxel and cisplatin plus fluorouracil(DCF) (4). With both treatment regimes, the median survival time for patients with late-stage disease is still very low (less than 12 months) (4, 5).

The FDA has approved Nivolumab or Pembrolizumab, a fully human IgG4 monoclonal antibody targeting programmed death-1 (PD-1) as the third or further line of treatment for AGC or mGC, based on the Keynote 059 study (6) and ATTRICTION 2 trial (7). Pembrolizumab did not significantly improve overall survival compared with Paclitaxel as second-line therapy and for AGC with PD-L1 CPS of 1 or higher (8) and Pembrolizumab plus chemotherapy was not superior to chemotherapy for the OS and PFS as first-line therapy (9). However, anti-pd-1 therapy was still applied in clinic practice for AGC or mGC patients despite unsatisfactory trials results. As to this year, the data reported in ESMO from the ATTRACTION4 (10) and Checkmate 649 (11) have demonstrated encouraging efficacy with Nivolumab combined with SOX/CapeOX, irrespective of tumor PD-L1 expression. These results provide strong evidence for the use of immunotherapy for unresectable advanced or metastatic HER2-negative GC patients.

Blood-derived biomarkers have become a convenient and promising prognostic tool to identify and characterize the patients’ population. Some of the most used blood-derived biomarkers for GC are anemia (12), neutrophil-to-lymphocyte ratio(NLR) (13), platelet-to-lymphocyte ratio(PLR) (13), and tumor makers (14). Anemia occurs in most cancers patients and has multifactorial causes (15). Over the last decade, accumulating evidence has indicated that anemia is correlated with poor survival following chemotherapy in many types of cancers (16), including GC (12). However, the impact of hemoglobin (Hb) levels on prognosis in patients with AGC or MGC receiving immune therapy remains to be elucidated. Therefore, our study aims to investigate the prognostic value of pretreatment Hb level for patients who benefits from PD-1 inhibitor therapy with AGC and MGC.

Patient And Method

Study Population

A total of 197 patients with stage IV gastric cancer who received immune checkpoint inhibitor (ICI) treatment between October 1, 2015, and December 31, 2020 at Chinese PLA General Hospital were enrolled in this retrospective study. Patients who had unconfirmed pathology diagnose and had received anti-PD-L1 antibodies were excluded. Patients meeting the inclusion criteria were those who received at least two cycles of anti-PD-1, had measurable lesions. We also measured survival time and hemoglobin (Hb) levels before any line of immunotherapy. Clinical parameters including age, gender, PD-L1 expression status, Eastern Cooperative Oncology Group Performance Status (ECOG PS), tumor location, differentiation, undergone surgery, metastasis organs, personal history, therapy line, and regime were obtained from the patients’ #medical records. Based on these criteria, our study analyzed 137 gastric cancer patients. This study was approved by the Ethics Committee of Chinese PLA General Hospital and was conducted according to the principles of the Declaration of Helsinki.

Treatment Regimens

The administrations of PD-1 inhibitor regimens consist of monotherapy or combined with chemotherapy or anti-angiogenic therapy. PD-1–targeting antibodies involved Nivolumab at a dose of 3 mg/kg, Pembrolizumab 200 mg intravenously, Sintilimab 200 mg per cycle, or Toripalimab at a stable 240 mg dosage with other treatment every 3 weeks. Chemotherapy regimens included XELOX (capecitabine 1,000 mg/m2 twice daily on days 1 to 14 of each cycle plus intravenous oxaliplatin 130 mg/m² on day 1 of each cycle), SOX (S-1 40–60 mg twice daily on days 1 to 14 plus oxaliplatin 130 mg/m2 on day 1) or DCF (docetaxel 75 mg/m2 cisplatin 75 mg/m2 on day 1 plus fluorouracil 750 mg/m2/d), and other combination. Angiogenesis inhibitors combined with those anti-checkpoint monoclonal antibodies are classified into small-molecule tyrosine kinase inhibitors (TKI) such as Apatinib and monoclonal antibody such as Bevacizumab. The regimen was based on the patients’ condition and preference. All patients signed informed consent for treatment.

Assessment

In terms of baseline Hb levels, patients were divided into normal Hb group with level ≥110 g/L and decreased Hb group at level <110g/L, according to the National Comprehensive Cancer Network (NCCN)guideline. The tumor response through the whole cycle included complete response (CR), partial response (PR), stable disease (SD), and progressive disease (PD). The response was evaluated according to Response Evaluation Criteria in Solid Tumors 1.1 (17). The objective response rate (ORR) was defined as the percentage of patients who achieved a CR or PR, and the disease control rate (DCR) was the percentage of patients with a CR or PR or SD. Overall survival (OS) was defined as the duration from the time of treatment to the time of death, and Progression-free survival (PFS) was defined as the time from treatment to the first occurrence of PD, or death.

Statistical Analysis

Baseline characteristics were presented as proportions for categorical variables, which were compared using the Chi-square test. Propensity score-matched analysis was performed to control for confounding factors. The propensity score (1:1) was estimated using non-parsimonious multivariate logistic regression according to the following variables: age, gender, PD-L1 expression status, Eastern Cooperative Oncology Group Performance Status(ECOG PS), tumor location, differentiation, undergone surgery, metastasis organs, personal history, therapy line and regime. The Kaplan–Meier method was used to analyze survival data. The Log-rank test and Cox proportional hazard regression were performed to assess the association of Hb levels with OS and PFS and other clinical features. P < 0.05 denoted statistical significance in all analyses. All data were analyzed by SPSS 21.0 statistical software (SPSS Inc., Chicago, IL, USA).

Results

A total of 137 patients with AGC and MGC received anti-PD-1 treatment at the Chinese PLA General Hospital during the study period. Baseline demographic characteristics including gender, age, PD-L1 expression status, ECOG PS, tumor location, histology differentiation, prior surgery, metastasis organs, smoking and drinking history, therapy line, and regime grouped by Hb Level (normal Hb level or decreased Hb level) is summarized in Table 1. Before propensity score matching, in contrast with decreased Hb level group, normal Hb group had higher rate of male proportion (78.2% vs 62.7%, p=0.047) and ECOG 0-1 patients (93.6% vs 83.1%, p=0.046). After propensity score matching (1:1), 47 patients in each normal Hb level group and decreased Hb level group were enrolled. No differences were observed between the two groups in terms of gender and ECOG PS score, and other variables. Thus, the two groups were well balanced for further comparison.

TABLE 1
www.frontiersin.org

Table 1 Baseline demographic characteristics of patients with AGC or MGC by Hb level before and after propensity score matching.

After matching, the PFS was 7.8 months in the normal Hb level group and 4.3 months in the decreased Hb group with immunotherapy for GC patients. The OS was 14.4 months with normal Hb level as compared with 8.2 months with decreased Hb level. There were significant differences in PFS and OS between two groups (HR 95% CI 0.5(0.31, 0.81), P=0.004, HR 95% CI 0.59(0.37, 0.94), P=0.024, respectively) (Figure 1).

FIGURE 1
www.frontiersin.org

Figure 1 Baseline Hb levels associated with (A) progression-free survival and (B) overall survival in patients treated with anti-pd-1 inhibitors. CI, confidence interval; Hb, hemoglobin; HR, hazard ratio; mOS, median overall survival; mPFS, median progression-free survival.

The response is presented in Table 2. After matching, an overall response was observed in 83.0% of the patients in the normal Hb level set and 85.1% in the decreased Hb group, with complete responses in 3 patients (6.3%) and 0 (0%), respectively. We recorded an objective response (ORR) in 19 of 47 patients (40.4%) in the normal Hb level patients and 12 out of 47 patients (25.5%) in the counterpart group. However, no statistical differences were found in ORR and DCR between the two groups (p=0.127, p=0.779, respectively).

TABLE 2
www.frontiersin.org

Table 2 The confirmed response of patients with AGC or MGC by Hb level before and after propensity score matching.

As shown in Table 3, univariate analysis revealed that Hb level and ECOG PS were significantly associated with PFS (P=0.004, P=0.044, respectively). Multivariate analysis was consistent with the outcomes that Hb level was the only independent predictor for PFS. On the other hand, in the univariate analysis for OS, histological differentiation, therapy line, treatment type, baseline Hb level were all related to overall survival time. Only baseline Hb level was a significant prognostic factor influencing the OS (Table 4). We further performed a log-rank test in different Hb level groups to demonstrate whether Hb level had an impact on anti-PD-1 based treatment. Interestingly, anti-PD-1 monotherapy or combined with chemotherapy was superior to anti-PD-1 plus anti-angiogenic therapy with respect to PFS [10.3m vs. 2.8m, HR 95% CI 0.37 (0.15, 0.95), P=0.031] and OS[15m vs. 5.7m, HR 95% CI 0.21 (0.08, 0.58), P=0.001] in normal Hb level group (Figure 2). In contrast, there was no evidence consistent with the above finding in decreased Hb level group (P>0.05) (Figure 3).

TABLE 3
www.frontiersin.org

Table 3 Univariate analysis and multivariate analysis of clinical variable for the prediction of progression free survival of AGC patients treat with anti-pd-1 inhibitors.

TABLE 4
www.frontiersin.org

Table 4 Univariate analysis and multivariate analysis of clinical variable for the prediction of overall survival of AGC patients treat with anti-pd-1 inhibitors.

FIGURE 2
www.frontiersin.org

Figure 2 Treatment type associated with progression-free survival (A) and overall survival (B) in patients with normal Hb levels.

FIGURE 3
www.frontiersin.org

Figure 3 Treatment type hadn’t associated with progression-free survival (A) and overall survival (B) in patients with decreased Hb levels.

Discussion

In the era of immunotherapy, immune checkpoint inhibitors (ICI) are showing great benefits for late stage cancers, such as lung cancer (1821), esophageal cancer (20, 22), melanoma cancer (23), renal cell cancer (24). Studies on immunotherapy for gastric cancer, on the other hand, have been controversial. It appears that Nivolumab and Pembrolizumab have a different outcome for patients with advanced GC when combined with chemotherapy or not in the first or second-line (810). The underlying reason still remain unclear. Well-known biomarker surrounded with PD-L1 expression and tumor mutation burdens (TMB) beside MSI do not fully explain why immunotherapy did not improve the survival compared with standard treatment (9, 25). Thus, additional factors or biomarkers are needed to predict benefit for patients.

To some extent, laboratory-based biomarkers such as anemia, NLR, PLR, and dynamic tumor makers before or after treatment had demonstrated a predictor value for anti-cancer therapy in several tumors. While some data suggest that anemia is not an important prognostic factor, a large number of prospective and retrospective studies, as well as data from in vitro and in vivo studies, suggest that Hb levels may influence treatment outcome parameters (2628). To our knowledge, however, no study had yet investigated the Hb level as a prognostic maker for patients undergoing immunotherapy.

Our analysis indicated that normal pre-treatment Hb level was a significant predictor when associated with higher PFS and OS in patients receiving anti-PD-1 therapy, as compared with decreased Hb level. This result suggest that patients with AGC and MGC suffering anemia might need more consideration of immunotherapy. Patients with normal Hb level receiving PD-1 inhibitor were shown to have prolonged long term benefit of 14.4months and progression time of 7.8m (p<0.05). This was in line with previous studies of NSCLC treated with ICI (29, 30). Hypoxia is a potent barrier to effective immunotherapy in cancer treatment (31). The reason could be multifactorial and remain to be addressed. Anemia is common in cancer patients and is suspected to contribute to intratumoral hypoxia (32). Hypoxia induced by anemia has been proved to lead in tumor growth and progression and decrease their sensitivity to anticancer treatments (33). In addition, Zhao L et al. (34) observed that anemia is also associated with T-cell deficiency in a mouse model. T cell play an important role on tumor microenviroment and anticancer process (35) as we know. Therefore, anemia may attenuate the T-cell surrounding the tumor. These findings might explain why immunotherapy was less effective in patients with lower levels of Hb. This conclusion suggests that correcting anemia in GC patients undergoing immunotherapy could bring benefits for their survival.

Regarding the response rate, there were no difference of DCR or ORR for GC patients with and without anemia. It appears that anemia does not impact tumor shrinkage when using PD-1 inhibitor alone or combined with other cytotoxicity drug. This is consistent with the result of a study conducted by Qing Wei et al. (12). This study showed no difference in chemotherapy outcome between patients with and without anemia regardless of regional and racial differences and different definitions of anemia. However, these results will require further study to better elucidate the role of anemia.

Investigation of whether Hb level was independent prognostic indictor for PFS and OS, univariate analysis and multivariate analysis were performed and the data indicated patients with anemia was poor predictor for both PFS and OS. The result further added evidence that Hb level was a potent biomarker for survival benefit population. Interestingly, we also found that patients with normal pre-treatment Hb levels treated with anti-PD-1 treatment alone or with chemotherapy achieved longer PFS (10.3 m vs 2.8 m, p<0.05) and OS (15 m vs 5.7 m, p<0.05) than those receiving anti-PD-1 plus anti-angiogenic therapy. The same outcome was not obtained from cases with decreased baseline Hb levels (PFS 4.3 m vs 4.8 m, p>0.05) and (OS 9.7 m vs 6.2 m). In the REGONIVO study (36), the combination of Regorafenib (an oral multikinase inhibitor for angiogenesis) plus Nivolumab had an encouraging antitumor activity (ORR=44%) in patients with gastric cancer after failure to prior treatment. Therefore, the addition of anti-angiogenic monoclonal antibodies or TKI to immunotherapy for advanced gastric cancer might be an alternative therapeutic options for these patients. The data suggest that strategies targeting angiogenesis with ICI are more suitable for patients with anemia than normal Hb status. This might be attributed to antiangiogenic agents may transiently normalize blood vessels and decrease hypoxia (37), which plays a bigger role in the presence of anemia. This in turn may also help us to make best treatment options for patient with advanced GC in different situation.

This study had several limitations. This report was a single-center retrospective study with a limited sample size and possible incomplete information. Due to limited known status of PD-L1 expression, no correlation between PD-L1 expression and survival was noted in this study. MorA bigger population study would be needed to verify the results of the study.

Conclusion

Our study demonstrates that pretreatment Hb levels are associated with PFS and OS for immunotherapy with patients of AGC and MGC. Anemia is a potential prognostic biomarker. Larger samples are needed to further validate its predictive value.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

This study was approved by the Ethics Committee of Chinese PLA General Hospital and was conducted according to the principles of the Declaration of Helsinki.

Author Contributions

MG and YZ were in charge of writing and analysis. TL, TQ, HS, ZW, and HY provided the data. NQ and GD provided the guide and idea. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the National Natural Science Foundation of China (no.31671298).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F, et al. Cancer Statistics in China, 2015. CA Cancer J Clin (2016) 66(2):115–32. doi: 10.3322/caac.21338

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Shah MA. Update on Metastatic Gastric and Esophageal Cancers. J Clin Oncol (2015) 33(16):1760–9. doi: 10.1200/JCO.2014.60.1799

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Irino T, Takeuchi H, Terashima M, Wakai T, Kitagawa Y. Gastric Cancer in Asia: Unique Features and Management. Am Soc Clin Oncol Educ Book (2017) 37:279–91. doi: 10.1200/EDBK_175228

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Van Cutsem E, Moiseyenko VM, Tjulandin S, Majlis A, Constenla M, Boni C, et al. Phase III Study of Docetaxel and Cisplatin Plus Fluorouracil Compared With Cisplatin and Fluorouracil as First-Line Therapy for Advanced Gastric Cancer: A Report of the V325 Study Group. J Clin Oncol (2006) 24(31):4991–7. doi: 10.1200/JCO.2006.06.8429

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Yamada Y, Higuchi K, Nishikawa K, Gotoh M, Fuse N, Sugimoto N, et al. Phase III Study Comparing Oxaliplatin Plus S-1 With Cisplatin Plus S-1 in Chemotherapy-Naïve Patients With Advanced Gastric Cancer. Ann Oncol (2015) 26(1):141–8. doi: 10.1093/annonc/mdu472

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Fuchs CS, Doi T, Jang RW, Muro K, Satoh T, Machado M, et al. Safety and Efficacy of Pembrolizumab Monotherapy in Patients With Previously Treated Advanced Gastric and Gastroesophageal Junction Cancer: Phase 2 Clinical Keynote-059 Trial. JAMA Oncol (2018) 4(5):e180013. doi: 10.1001/jamaoncol.2018.0013

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Kang YK, Boku N, Satoh T, Ryu MH, Chao Y, Kato K, et al. Nivolumab in Patients With Advanced Gastric or Gastro-Oesophageal Junction Cancer Refractory to, or Intolerant of, At Least Two Previous Chemotherapy Regimens (ONO-4538-12, ATTRACTION-2): A Randomised, Double-Blind, Placebo-Controlled, Phase 3 Trial. Lancet (2017) 390(10111):2461–71. doi: 10.1016/S0140-6736(17)31827-5

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Shitara K, Özgüroğlu M, Bang YJ, Di BM, Mandalà M, Ryu MH, et al. Pembrolizumab Versus Paclitaxel for Previously Treated, Advanced Gastric or Gastro-Oesophageal Junction Cancer (KEYNOTE-061): A Randomised, Open-Label, Controlled, Phase 3 Trial. Lancet (2018) 392(10142):123–33. doi: 10.1016/S0140-6736(18)31257-1

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Tabernero J, Bang Y-J, Fuchs CS, Ohtsu A, Kher U, Minori Koshiji BL, et al. “KEYNOTE-062: Phase III study of pembrolizumab (MK-3475) alone or in combination with chemotherapy versus chemotherapy alone as first-line therapy for advanced gastric or gastroesophageal junction (GEJ) adenocarcinoma”. In: J Clin Oncol. (2016) 34(4). doi: 10.1200/jco.2016.34.4_suppl.tps185

CrossRef Full Text | Google Scholar

10. Boku N, Ryu MH, Kato K, Chung HC, Minashi K, Lee KW, et al. Safety and Efficacy of Nivolumab in Combination With S-1/capecitabine Plus Oxaliplatin in Patients With Previously Untreated, Unresectable, Advanced, or Recurrent Gastric/Gastroesophageal Junction Cancer: Interim Results of a Randomized, Phase II Trial (ATTRACTION-4). Ann Oncol (2019) 30(2):250–8. doi: 10.1093/annonc/mdy540

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Moehler M, Shitara K, Garrido M, Salman P, Shen L, Wyrwicz L, et al. LBA6_PR - Nivolumab (Nivo) Plus Chemotherapy (Chemo) Versus Chemo as First-Line (1L) Treatment for Advanced Gastric Cancer/Gastroesophageal Junction Cancer (GC/GEJC)/Esophageal Adenocarcinoma (EAC): First Results of the CheckMate 649 Study. Annals Oncol (2020) 31(suppl_4):S1191. doi: 10.1016/annonc/annonc325

CrossRef Full Text | Google Scholar

12. Wei Q, Yuan X, Xu Q, Li J, Chen L, Ying J. Correlation Between Hemoglobin Levels and the Prognosis of First-Line Chemotherapy in Patients With Advanced Gastric Cancer. Cancer Manag Res (2020) 12:7009–19. doi: 10.2147/CMAR.S256074

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Kim EY, Lee JW, Yoo HM, Park CH, Song KY. The Platelet-to-Lymphocyte Ratio Versus Neutrophil-to-Lymphocyte Ratio: Which is Better as a Prognostic Factor in Gastric Cancer. Ann Surg Oncol (2015) 22(13):4363–70. doi: 10.1245/s10434-015-4518-z

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Matsuoka T, Yashiro M. Biomarkers of Gastric Cancer: Current Topics and Future Perspective. World J Gastroenterol (2018) 24(26):2818–32. doi: 10.3748/wjg.v24.i26.2818

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Gilreath JA, Stenehjem DD, Rodgers GM. Diagnosis and Treatment of Cancer-Related Anemia. Am J Hematol (2014) 89(2):203–12. doi: 10.1002/ajh.23628

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Van Belle SJ, Cocquyt V. Impact of Haemoglobin Levels on the Outcome of Cancers Treated With Chemotherapy. Crit Rev Oncol Hematol (2003) 47(1):1–11. doi: 10.1016/S1040-8428(03)00093-3

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Nishino M, Jackman DM, Hatabu H, Yeap BY, Cioffredi LA, Yap JT, et al. New Response Evaluation Criteria in Solid Tumors (RECIST) Guidelines for Advanced non-Small Cell Lung Cancer: Comparison With Original RECIST and Impact on Assessment of Tumor Response to Targeted Therapy. AJR Am J Roentgenol (2010) 195(3):W221–8. doi: 10.2214/AJR.09.3928

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Oh A, Tran DM, McDowell LC, Keyvani D, Barcelon JA, Merino O, et al. Cost-Effectiveness of Nivolumab-Ipilimumab Combination Therapy Compared With Monotherapy for First-Line Treatment of Metastatic Melanoma in the United States. J Manag Care Spec Pharm (2017) 23(6):653–64. doi: 10.18553/jmcp.2017.23.6.653

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Gettinger S, Rizvi NA, Chow LQ, Borghaei H, Brahmer J, Ready N, et al. Nivolumab Monotherapy for First-Line Treatment of Advanced non-Small-Cell Lung Cancer. J Clin Oncol (2016) 34(25):2980–7. doi: 10.1200/JCO.2016.66.9929

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Kato K, Sun J-M, Shah MA, Enzinger PC, Adenis A, Doi T, et al. Pembrolizumab Plus Chemotherapy Versus Chemotherapy as First-Line Therapy in Patients With Advanced Esophageal Cancer: The Phase 3 KEYNOTE-590 Study. ESMO (2020) 31(Supp 4):S1192–3. doi: 10.1016/j.annonc.2020.08.2298

CrossRef Full Text | Google Scholar

21. Brahmer J, Reckamp KL, Baas P, Crinò L, Eberhardt WE, Poddubskaya E, et al. Nivolumab Versus Docetaxel in Advanced Squamous-Cell Non-Small-Cell Lung Cancer. N Engl J Med (2015) 373(2):123–35. doi: 10.1056/NEJMoa1504627

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Kojima T, Shah MA, Muro K, Francois E, Adenis A, Hsu CH, et al. Randomized Phase III KEYNOTE-181 Study of Pembrolizumab Versus Chemotherapy in Advanced Esophageal Cancer. J Clin Oncol (2020) 38:4138–48. doi: 10.1200/JCO.20.01888

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Rodríguez-Cerdeira C, Carnero GM, López-Barcenas A, Sánchez-Blanco E, Sánchez-Blanco B, Fabbrocini G, et al. Advances in Immunotherapy for Melanoma: A Comprehensive Review. Mediators Inflamm (2017) 2017:3264217. doi: 10.1155/2017/3264217

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Peinemann F, Unverzagt S, Hadjinicolaou AV, Moldenhauer I. Immunotherapy for Metastatic Renal Cell Carcinoma: A Systematic Review. J Evid Based Med (2019) 12(4):253–62. doi: 10.1111/jebm.12362

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Greally M, Chou JF, Chatila WK, Margolis M, Capanu M, Hechtman JF, et al. Clinical and Molecular Predictors of Response to Immune Checkpoint Inhibitors in Patients With Advanced Esophagogastric Cancer. Clin Cancer Res (2019) 25(20):6160–9. doi: 10.1158/1078-0432.CCR-18-3603

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Watine J, Bouarioua N. Anemia as an Independent Prognostic Factor for Survival in Patients With Cancer. Cancer (2002) 94(10):2793–6; author reply 2796-7. doi: 10.1002/cncr.10523

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Cotogno PM, Ranasinghe LK, Ledet EM, Lewis BE, Sartor O. Laboratory-Based Biomarkers and Liver Metastases in Metastatic Castration-Resistant Prostate Cancer. Oncologist (2018) 23(7):791–7. doi: 10.1634/theoncologist.2017-0564

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Clausen MR, Maurer MJ, Ulrichsen SP, Larsen TS, Himmelstrup B, Rønnov-Jessen D, et al. Pretreatment Hemoglobin Adds Prognostic Information To the NCCN-IPI in Patients With Diffuse Large B-Cell Lymphoma Treated With Anthracycline-Containing Chemotherapy. Clin Epidemiol (2019) 11:987–96. doi: 10.2147/CLEP.S219595

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Huang Y, Wei S, Jiang N, Zhang L, Wang S, Cao X, et al. The Prognostic Impact of Decreased Pretreatment Haemoglobin Level on the Survival of Patients With Lung Cancer: A Systematic Review and Meta-Analysis. BMC Cancer (2018) 18(1):1235. doi: 10.1186/s12885-018-5136-5

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Zhang Z, Zhang F, Yuan F, Li Y, Ma J, Ou Q, et al. Pretreatment Hemoglobin Level as a Predictor to Evaluate the Efficacy of Immune Checkpoint Inhibitors in Patients With Advanced non-Small Cell Lung Cancer. Ther Adv Med Oncol (2020) 12:1758835920970049. doi: 10.1177/1758835920970049

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Graham K, Unger E. Overcoming Tumor Hypoxia as a Barrier to Radiotherapy, Chemotherapy and Immunotherapy in Cancer Treatment. Int J Nanomed (2018) 13:6049–58. doi: 10.2147/IJN.S140462

CrossRef Full Text | Google Scholar

32. Harrison LB, Chadha M, Hill RJ, Hu K, Shasha D. Impact of Tumor Hypoxia and Anemia on Radiation Therapy Outcomes. Oncologist (2002) 7(6):492–508. doi: 10.1634/theoncologist.7-6-492

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Tas F, Eralp Y, Basaran M, Sakar B, Alici S, Argon A, et al. Anemia in Oncology Practice: Relation to Diseases and Their Therapies. Am J Clin Oncol (2002) 25(4):371–9. doi: 10.1097/00000421-200208000-00011

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Zhao L, He R, Long H, Guo B, Jia Q, Qin D, et al. Late-Stage Tumors Induce Anemia and Immunosuppressive Extramedullary Erythroid Progenitor Cells. Nat Med (2018) 24(10):1536–44. doi: 10.1038/s41591-018-0205-5

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Sun C, Mezzadra R, Schumacher TN. Regulation and Function of the PD-L1 Checkpoint. Immunity (2018) 48(3):434–52. doi: 10.1016/j.immuni.2018.03.014

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Fukuoka S, Hara H, Takahashi N, Kojima T, Kawazoe A, Asayama M, et al. Regorafenib Plus Nivolumab in Patients With Advanced Gastric or Colorectal Cancer: An Open-Label, Dose-Escalation, and Dose-Expansion Phase Ib Trial (Regonivo, Epoc1603). J Clin Oncol (2020) 38(18):2053–61. doi: 10.1200/JCO.19.03296

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Gerstner ER, Emblem KE, Yen YF, Dietrich J, Jordan JT, Catana C, et al. Vascular Dysfunction Promotes Regional Hypoxia After Bevacizumab Therapy in Recurrent Glioblastoma Patients. Neurooncol Adv (2020) 2(1):vdaa157. doi: 10.1093/noajnl/vdaa157

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: gastric cancer, immunotherapy, hemoglobin, prognostic bio-marker, PMS

Citation: Gou M, Zhang Y, Liu T, Qu T, Si H, Wang Z, Yan H, Qian N and Dai G (2021) The Prognostic Value of Pre-treatment Hemoglobin (Hb) in Patients With Advanced or Metastatic Gastric Cancer Treated With Immunotherapy. Front. Oncol. 11:655716. doi: 10.3389/fonc.2021.655716

Received: 15 February 2021; Accepted: 11 May 2021;
Published: 15 June 2021.

Edited by:

Guoliang Qiao, Massachusetts General Hospital and Harvard Medical School, United States

Reviewed by:

Valerio Nardone, Centro Sanitario Locale Napoli 1 Centro, Italy
Prashanth Kumar MV, JSS Academy of Higher Education and Research, India

Copyright © 2021 Gou, Zhang, Liu, Qu, Si, Wang, Yan, Qian and Dai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Guanghai Dai, daigh60@sohu.com; Niansong Qian, 18701317301@qq.com

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.